[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71KD898T0JBECD2HGDVSVFJ":3,"skill-same:01M71KD898T0JBECD2HGDVSVFJ":2048},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":34,"publishedAt":55,"linkOnly":56,"markdownContent":57,"markdownBody":58,"frontMatter":59,"refName":63,"commitSha":64,"skillDirectory":65,"forksCount":66,"repositoryHtmlUrl":67,"repositoryHomepageUrl":68,"ownerHtmlUrl":69,"ownerBlogUrl":70,"ownerDescription":71,"updatedAt":72,"install":73,"resources":86},"01M71KD898T0JBECD2HGDVSVFJ","ai-super-intelligence",null,"Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning\u002FRL\u002Fagents, alignment and interpretability, theory and science of DL, multimodal and…","coco-research\u002Fcoco","coco-research","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F68911604?v=4","01M71JRE9C4NM4NSZM4JD0BJTB","Coco Research","01M71JREA0ZMR0PMH3CKA99SN1",630,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002FSKILL.md",[18,23,26,31],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":32,"categoryName":33,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000031","产品经理",[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"ai super intelligence","super","intelligence","research","rl","science","personas","trust","Interpretability","multimodal","Model Architecture","brain","2026","product","across","architecture","team","dl","model","alignment","2026-11-10 10:12:30",false,"---\nname: \"ai-super-intelligence\"\ndescription: \"Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning\u002FRL\u002Fagents, alignment and interpretability, theory and science of DL, multimodal and…\"\nteam_id: \"ai-super-intelligence\"\nteam_name: \"AI Super Intelligence Team\"\nlast_updated: \"2026-05-28\"\nschema_version: \"1.0\"\n---\n\n# AI Super Intelligence Team — SKILL entry\n\nYour AI research + engineering brain trust **and decision-making partner**. 59 named personas drawn from the world's frontier model labs (US, UK, China, France), top AI universities, the open-source ecosystem, the independent-evaluation and AI-governance ecosystem, and product-history archetypes. Reusable across any CoCo-routed prompt — invoked by `\u002FsuperintelligenceTeam-*` slash commands. The team's primary purpose is to **help take decisions**, not just review work after the fact — every cell carries a decision-relevant lens that convene synthesis explicitly draws on.\n\n> **Status:** All three phases complete.\n> - **Phase 1:** 49 personas across 8 cells (baseline roster + founding v2 panelists).\n> - **Phase 2:** 10 priority additions from the [EXPANSION.md](EXPANSION.md) gap analysis (roster grew to 59).\n> - **Phase 3:** 22 slash commands installed at `~\u002F.claude\u002Fcommands\u002FsuperintelligenceTeam*.md` — orchestrator-first action surface plus explicit-override identity surface. See [Slash Commands](#slash-commands) section below.\n\nThis file is the user-facing entry point for the team. The machine source of truth is [`registry.json`](registry.json), regenerated from persona frontmatter by `python3 superintelligenceTeam\u002Fscripts\u002Fbuild_registry.py`.\n\n## What this team is for\n\nWhen a CoCo prompt is high-stakes enough to deserve a parallel review panel, the AI Super Intelligence Team plays the role of named external voices. Instead of \"the panel said,\" every claim is attributed to a specific researcher with documented stances. This lets convene synthesis:\n\n- Surface real disagreement (Hinton vs LeCun on existential risk; Karpathy vs Schulman on RL).\n- Anchor stances to citable evidence (every public_stance in every persona has an `evidence_url`).\n- Stay honest about who actually drove which decision (lead-driver vs validator vs specialist vs swing).\n\nThe 5-cell × 4-persona founding Memory v2 panel from May 26-27, 2026 was the **first consumer**. This team supersedes that roster: five of those panelists (Karpathy, Wei, LeCun, Tri Dao, Hyung Won Chung) continue here with their `v2_panel_attribution` records preserved. The rest of the founding v2 panel (memory \u002F cloud \u002F security \u002F privacy personas) belong to future Super Intelligence Teams (Memory Systems, Cloud, Data, Compliance) and are not part of this AI-focused roster.\n\n## Cells (8)\n\n| Cell | Count | Focus | File |\n|---|---|---|---|\n| `frontier-labs-research` | 6 | CSO \u002F co-founder tier at frontier labs (US, China, France) | [cells\u002Ffrontier-labs-research.md](cells\u002Ffrontier-labs-research.md) |\n| `applied-ai-leadership` | 7 | Product \u002F strategy founders shipping AI (incl. archetypes) | [cells\u002Fapplied-ai-leadership.md](cells\u002Fapplied-ai-leadership.md) |\n| `model-architects` | 7 | Pretraining + scaling + model design + retrieval + open-source | [cells\u002Fmodel-architects.md](cells\u002Fmodel-architects.md) |\n| `reasoning-rl-agents` | 7 | Post-training, RL, agentic systems, test-time compute | [cells\u002Freasoning-rl-agents.md](cells\u002Freasoning-rl-agents.md) |\n| `alignment-interp-safety` | 9 | Alignment + mech interp + safety policy + independent evals + governance | [cells\u002Falignment-interp-safety.md](cells\u002Falignment-interp-safety.md) |\n| `theory-science` | 9 | DL theory + science + Turing laureates + AI-for-science + common-sense | [cells\u002Ftheory-science.md](cells\u002Ftheory-science.md) |\n| `multimodal-embodied` | 7 | Vision + diffusion + robotics + embodied | [cells\u002Fmultimodal-embodied.md](cells\u002Fmultimodal-embodied.md) |\n| `systems-kernels-serving` | 7 | Kernels + serving + GPU + quantization + anti-NVIDIA silicon | [cells\u002Fsystems-kernels-serving.md](cells\u002Fsystems-kernels-serving.md) |\n\n## Personas (59)\n\nListed by cell. Each has a YAML-frontmatter profile under `personas\u002F\u003Cslug>.md` plus a research dump under `research\u002F\u003Cslug>\u002F`. **Bold** marks Phase 2 additions (built 2026-05-28 from `EXPANSION.md`).\n\n**Frontier Labs Research (6):** [ilya-sutskever](personas\u002Filya-sutskever.md) · [dario-amodei](personas\u002Fdario-amodei.md) · [demis-hassabis](personas\u002Fdemis-hassabis.md) · [jakub-pachocki](personas\u002Fjakub-pachocki.md) · **[liang-wenfeng](personas\u002Fliang-wenfeng.md)** · **[arthur-mensch](personas\u002Farthur-mensch.md)**\n\n**Applied AI Leadership (7):** [sam-altman](personas\u002Fsam-altman.md) · [mira-murati](personas\u002Fmira-murati.md) · [greg-brockman](personas\u002Fgreg-brockman.md) · [aravind-srinivas](personas\u002Faravind-srinivas.md) · [aidan-gomez](personas\u002Faidan-gomez.md) · [elon-musk](personas\u002Felon-musk.md) · [steve-jobs](personas\u002Fsteve-jobs.md) *(archetype, deceased 2011)*\n\n**Model Architects (7):** [andrej-karpathy](personas\u002Fandrej-karpathy.md) · [jared-kaplan](personas\u002Fjared-kaplan.md) · [noam-shazeer](personas\u002Fnoam-shazeer.md) · [jason-wei](personas\u002Fjason-wei.md) · [sebastian-raschka](personas\u002Fsebastian-raschka.md) · **[patrick-lewis](personas\u002Fpatrick-lewis.md)** · **[thomas-wolf](personas\u002Fthomas-wolf.md)**\n\n**Reasoning, RL, Agents (7):** [john-schulman](personas\u002Fjohn-schulman.md) · **[noam-brown](personas\u002Fnoam-brown.md)** · [hyung-won-chung](personas\u002Fhyung-won-chung.md) · [nathan-lambert](personas\u002Fnathan-lambert.md) · [barret-zoph](personas\u002Fbarret-zoph.md) · [karina-nguyen](personas\u002Fkarina-nguyen.md) · [sasha-rush](personas\u002Fsasha-rush.md)\n\n**Alignment, Interp, Safety (9):** [chris-olah](personas\u002Fchris-olah.md) · [paul-christiano](personas\u002Fpaul-christiano.md) · [jan-leike](personas\u002Fjan-leike.md) · [dan-hendrycks](personas\u002Fdan-hendrycks.md) · [stuart-russell](personas\u002Fstuart-russell.md) · [neel-nanda](personas\u002Fneel-nanda.md) · [lilian-weng](personas\u002Flilian-weng.md) · **[beth-barnes](personas\u002Fbeth-barnes.md)** · **[helen-toner](personas\u002Fhelen-toner.md)**\n\n**Theory and Science (9):** [yann-lecun](personas\u002Fyann-lecun.md) · [yoshua-bengio](personas\u002Fyoshua-bengio.md) · [geoffrey-hinton](personas\u002Fgeoffrey-hinton.md) · **[john-jumper](personas\u002Fjohn-jumper.md)** · [percy-liang](personas\u002Fpercy-liang.md) · [christopher-manning](personas\u002Fchristopher-manning.md) · **[yejin-choi](personas\u002Fyejin-choi.md)** · [sara-hooker](personas\u002Fsara-hooker.md) · [aleksander-madry](personas\u002Faleksander-madry.md)\n\n**Multimodal, Embodied (7):** [fei-fei-li](personas\u002Ffei-fei-li.md) · [pieter-abbeel](personas\u002Fpieter-abbeel.md) · [sergey-levine](personas\u002Fsergey-levine.md) · [chelsea-finn](personas\u002Fchelsea-finn.md) · [robin-rombach](personas\u002Frobin-rombach.md) · [aditya-ramesh](personas\u002Faditya-ramesh.md) · [prafulla-dhariwal](personas\u002Fprafulla-dhariwal.md)\n\n**Systems, Kernels, Serving (7):** [tri-dao](personas\u002Ftri-dao.md) · [bryan-catanzaro](personas\u002Fbryan-catanzaro.md) · **[andrew-feldman](personas\u002Fandrew-feldman.md)** · [albert-gu](personas\u002Falbert-gu.md) · [horace-he](personas\u002Fhorace-he.md) · [woosuk-kwon](personas\u002Fwoosuk-kwon.md) · [tim-dettmers](personas\u002Ftim-dettmers.md)\n\n## Files in this team\n\n```\nsuperintelligenceTeam\u002F\n├── SKILL.md This file — user-facing entry.\n├── registry.json Machine source of truth. Read by slash commands.\n├── EXPANSION.md (Phase 2) Gap-analysis and roster-expansion candidates.\n├── templates\u002F\n│ ├── persona.md Schema source-of-truth for every persona file.\n│ └── convene.md Multi-persona session template.\n├── personas\u002F 59 *.md files, one per persona. YAML frontmatter + 6 narrative sections.\n├── cells\u002F 8 *.md cell summaries.\n├── research\u002F 59 directories, one per persona. Raw research dumps so future re-syntheses don't recrawl.\n└── scripts\u002F\n    └── build_registry.py Regenerates registry.json from persona frontmatter. Run after any persona edit.\n```\n\n\u003Ca id=\"slash-commands\">\u003C\u002Fa>\n## Slash commands (Phase 3 — installed)\n\n22 slash command files live at `~\u002F.claude\u002Fcommands\u002FsuperintelligenceTeam*.md` (user-global install, parallel to the existing `\u002Fteam` family). Each is auto-registered as a discoverable Skill — no separate `SKILL.md` registration is needed. The architecture is **orchestrator-first**: every action verb invokes the orchestrator to pick a custom 16-32 persona team and gate on user approval before executing.\n\n### Dispatcher (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam` | No args → print roster + cell heatmap. With a subcommand as first token, routes to the sibling file. With free text and no subcommand, defaults to `:meeting`. |\n\n### Orchestrator (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam:orchestrate \"\u003Cprompt>\"` | **Standalone team selection.** Reads `registry.json`, scores all 59 personas via domain match (40%) + cell coverage (30%) + productive-conflict pairing (30%), picks 16-32, asks for user approval via AskUserQuestion with per-persona one-line rationale. Hard 16-32 size enforcement. Re-picks every invocation. Does NOT load CoCo. |\n\n### Identity surface — explicit overrides (4)\n\n| Command | Purpose | Skips orchestrator? |\n|---|---|---|\n| `\u002FsuperintelligenceTeam:ask \u003Cslug> \"\u003Cquestion>\"` | 1-on-1 with one persona in their voice. | Yes |\n| `\u002FsuperintelligenceTeam:huddle \u003Ccell-slug> \"\u003Ctopic>\"` | Whole cell (4-9 personas) synthesizes. | Yes |\n| `\u002FsuperintelligenceTeam:meeting \"\u003Cprompt>\"` | Full 59-persona convene with mandatory attribution. | Yes |\n| `\u002FsuperintelligenceTeam:read \u003Cslug>` | Print the persona file inline (not voice-channeled). | Yes |\n\n### Roster management (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam:recruit \u003Cdomain> \"\u003Cwhy>\"` | Propose 2-3 new persona candidates for an under-covered domain. Reads EXPANSION.md to avoid re-proposing. Does not write personas itself. |\n\n### Action surface (15) — orchestrator-first by default\n\nAll 15 invoke `\u002FsuperintelligenceTeam:orchestrate` first unless `--no-orchestrate`, `--cells`, or `--personas` flag is supplied.\n\n| Command | Output shape |\n|---|---|\n| `\u002FsuperintelligenceTeam:analyse \"\u003Ctopic>\"` | Per-persona analysis + synthesis table of strongest signals |\n| `\u002FsuperintelligenceTeam:decide \"\u003Cquestion>\"` | **Primary verb.** Decision matrix: options × personas × verdict + recommendation + named dissent |\n| `\u002FsuperintelligenceTeam:review \u003Ctarget>` | Multi-persona findings classified CRITICAL\u002FMAJOR\u002FMINOR\u002FSUGGESTION + ship verdict |\n| `\u002FsuperintelligenceTeam:re-analyse \"\u003Ctopic>\" [--prior \u003Cpath>] [--evidence \u003Ctext>]` | Updated stances + diff vs prior analysis |\n| `\u002FsuperintelligenceTeam:pre-mortem \"\u003Cplan>\"` | Ranked failure modes + early warning signs + mitigations |\n| `\u002FsuperintelligenceTeam:post-mortem \"\u003Cwhat failed>\"` | Per-persona 5 Whys + most-likely root cause + remediation plan |\n| `\u002FsuperintelligenceTeam:full-cycle \"\u003Ctopic>\"` | **Heaviest verb.** Chains `:review → :analyse → mitigate-risk → :decide → finalize` as real subcommand invocations. 5× latency. Finalized action plan. |\n| `\u002FsuperintelligenceTeam:tradeoff \"\u003CA vs B>\"` | Side-by-side dimensions × options table + most-opposed cell named |\n| `\u002FsuperintelligenceTeam:plan \"\u003Cgoal>\"` | Phased plan with owner cell + dissenting voices per phase |\n| `\u002FsuperintelligenceTeam:design \"\u003Cfeature>\"` | Component-level architecture with per-decision attribution |\n| `\u002FsuperintelligenceTeam:vote \"\u003Cbinary question>\"` | Yes\u002Fno per persona + tally by cell + recommendation |\n| `\u002FsuperintelligenceTeam:debug \"\u003Cproblem>\"` | Ranked root-cause hypotheses + diagnostic test order |\n| `\u002FsuperintelligenceTeam:stress-test \"\u003Cproposal>\"` | Adversarial attacks per persona + severity matrix + SHIP\u002FHARDEN-THEN-SHIP\u002FREFRAME\u002FDO-NOT-SHIP verdict |\n| `\u002FsuperintelligenceTeam:defend \"\u003Cposition>\" [as \u003Cslug>]` | Steelman with sharpened claim + counter-objection rebuttal + \"what would change my mind\" |\n| `\u002FsuperintelligenceTeam:roast \"\u003Cthing>\"` | One-line cutting roast per persona + single line that hurt most + convergent critique |\n\n### Global flags\n\nEvery command accepts these:\n\n| Flag | Effect |\n|---|---|\n| `--no-orchestrate` | Skip orchestrator; use all 59 personas |\n| `--cells \u003Ccomma-list>` | Manually scope to specific cells; skip orchestrator |\n| `--personas \u003Ccomma-list>` | Manually scope to specific persona slugs; skip orchestrator |\n\n### Conventions enforced by every command\n\n1. **Registry is source of truth.** Re-read every invocation; no caching.\n2. **Attribution at every line.** No \"the team said\" — name a persona or a cell.\n3. **Approval gate mandatory for action verbs** unless an explicit flag bypasses.\n4. **Hard 16-32 size band** on orchestrator output.\n5. **Full English prose** — no caveman compression in command output.\n\n## Cross-team note\n\nThis is the **first** Super Intelligence Team in CoCo. Planned follow-ons:\n\n- `cloud-super-intelligence` — AWS \u002F GCP \u002F Azure architecture\n- `finance-super-intelligence` — FP&A, accounting, finance ops\n- `coding-super-intelligence` — software-engineering practice\n- `design-super-intelligence` — UX, design systems, visual design\n- `product-super-intelligence` — PM craft, product strategy\n\nAll teams share the same schema (`teams: [...]` array on each persona, functional cell slugs, slash-command surface). A persona may belong to multiple teams — Karpathy will likely also appear in a future coding-super-intelligence team because of his pedagogical reach into engineering practice. The `teams:` field is an array exactly so this is cheap.\n\n## Conventions\n\n- **Schema source of truth:** `templates\u002Fpersona.md`. Edit there first; persona files conform.\n- **Registry regeneration:** run `python3 superintelligenceTeam\u002Fscripts\u002Fbuild_registry.py` after any persona edit.\n- **Caveman mode does NOT apply** to persona files, cell files, or this SKILL.md. Documentation is always full English prose per the project rule.\n- **Citation is mandatory.** Every `public_stance` has an `evidence_url`. No uncited claims.\n- **v2 panel preservation.** Personas with `v2_panel_attribution` entries anchor to actual material from the founding Memory v2 synthesis on 2026-05-26. Convene uses those first.\n- **Confidence calibration.** `confidence \u003C 0.85` means we suspect identifier or biographical detail may need re-verification. Persona is still usable but flag in convene.\n\n## Build provenance\n\n- Forged 2026-05-27 during \u002Fcoco session.\n- Quality bar set by Karpathy reference (12 cited URLs, 5 recent_signal_12mo entries, full 6-section narrative).\n- 46 remaining personas built by parallel research sub-agents in 6 waves (8 + 8 + 8 + 8 + 8 + 6).\n- Several agent runs corrected the user-supplied hints with verified facts (e.g., Lilian Weng's PhD = Indiana not NYU; Sergey Levine's PhD advisor = Vladlen Koltun not Pieter Abbeel; Barret Zoph fired from TML Jan 2026 and returned to OpenAI; Aditya Ramesh stayed at OpenAI Worldsim VP not TML).\n- All persona files written in full English prose. Caveman mode active in chat throughout.\n","# AI Super Intelligence Team — SKILL entry\n\nYour AI research + engineering brain trust **and decision-making partner**. 59 named personas drawn from the world's frontier model labs (US, UK, China, France), top AI universities, the open-source ecosystem, the independent-evaluation and AI-governance ecosystem, and product-history archetypes. Reusable across any CoCo-routed prompt — invoked by `\u002FsuperintelligenceTeam-*` slash commands. The team's primary purpose is to **help take decisions**, not just review work after the fact — every cell carries a decision-relevant lens that convene synthesis explicitly draws on.\n\n> **Status:** All three phases complete.\n> - **Phase 1:** 49 personas across 8 cells (baseline roster + founding v2 panelists).\n> - **Phase 2:** 10 priority additions from the [EXPANSION.md](EXPANSION.md) gap analysis (roster grew to 59).\n> - **Phase 3:** 22 slash commands installed at `~\u002F.claude\u002Fcommands\u002FsuperintelligenceTeam*.md` — orchestrator-first action surface plus explicit-override identity surface. See [Slash Commands](#slash-commands) section below.\n\nThis file is the user-facing entry point for the team. The machine source of truth is [`registry.json`](registry.json), regenerated from persona frontmatter by `python3 superintelligenceTeam\u002Fscripts\u002Fbuild_registry.py`.\n\n## What this team is for\n\nWhen a CoCo prompt is high-stakes enough to deserve a parallel review panel, the AI Super Intelligence Team plays the role of named external voices. Instead of \"the panel said,\" every claim is attributed to a specific researcher with documented stances. This lets convene synthesis:\n\n- Surface real disagreement (Hinton vs LeCun on existential risk; Karpathy vs Schulman on RL).\n- Anchor stances to citable evidence (every public_stance in every persona has an `evidence_url`).\n- Stay honest about who actually drove which decision (lead-driver vs validator vs specialist vs swing).\n\nThe 5-cell × 4-persona founding Memory v2 panel from May 26-27, 2026 was the **first consumer**. This team supersedes that roster: five of those panelists (Karpathy, Wei, LeCun, Tri Dao, Hyung Won Chung) continue here with their `v2_panel_attribution` records preserved. The rest of the founding v2 panel (memory \u002F cloud \u002F security \u002F privacy personas) belong to future Super Intelligence Teams (Memory Systems, Cloud, Data, Compliance) and are not part of this AI-focused roster.\n\n## Cells (8)\n\n| Cell | Count | Focus | File |\n|---|---|---|---|\n| `frontier-labs-research` | 6 | CSO \u002F co-founder tier at frontier labs (US, China, France) | [cells\u002Ffrontier-labs-research.md](cells\u002Ffrontier-labs-research.md) |\n| `applied-ai-leadership` | 7 | Product \u002F strategy founders shipping AI (incl. archetypes) | [cells\u002Fapplied-ai-leadership.md](cells\u002Fapplied-ai-leadership.md) |\n| `model-architects` | 7 | Pretraining + scaling + model design + retrieval + open-source | [cells\u002Fmodel-architects.md](cells\u002Fmodel-architects.md) |\n| `reasoning-rl-agents` | 7 | Post-training, RL, agentic systems, test-time compute | [cells\u002Freasoning-rl-agents.md](cells\u002Freasoning-rl-agents.md) |\n| `alignment-interp-safety` | 9 | Alignment + mech interp + safety policy + independent evals + governance | [cells\u002Falignment-interp-safety.md](cells\u002Falignment-interp-safety.md) |\n| `theory-science` | 9 | DL theory + science + Turing laureates + AI-for-science + common-sense | [cells\u002Ftheory-science.md](cells\u002Ftheory-science.md) |\n| `multimodal-embodied` | 7 | Vision + diffusion + robotics + embodied | [cells\u002Fmultimodal-embodied.md](cells\u002Fmultimodal-embodied.md) |\n| `systems-kernels-serving` | 7 | Kernels + serving + GPU + quantization + anti-NVIDIA silicon | [cells\u002Fsystems-kernels-serving.md](cells\u002Fsystems-kernels-serving.md) |\n\n## Personas (59)\n\nListed by cell. Each has a YAML-frontmatter profile under `personas\u002F\u003Cslug>.md` plus a research dump under `research\u002F\u003Cslug>\u002F`. **Bold** marks Phase 2 additions (built 2026-05-28 from `EXPANSION.md`).\n\n**Frontier Labs Research (6):** [ilya-sutskever](personas\u002Filya-sutskever.md) · [dario-amodei](personas\u002Fdario-amodei.md) · [demis-hassabis](personas\u002Fdemis-hassabis.md) · [jakub-pachocki](personas\u002Fjakub-pachocki.md) · **[liang-wenfeng](personas\u002Fliang-wenfeng.md)** · **[arthur-mensch](personas\u002Farthur-mensch.md)**\n\n**Applied AI Leadership (7):** [sam-altman](personas\u002Fsam-altman.md) · [mira-murati](personas\u002Fmira-murati.md) · [greg-brockman](personas\u002Fgreg-brockman.md) · [aravind-srinivas](personas\u002Faravind-srinivas.md) · [aidan-gomez](personas\u002Faidan-gomez.md) · [elon-musk](personas\u002Felon-musk.md) · [steve-jobs](personas\u002Fsteve-jobs.md) *(archetype, deceased 2011)*\n\n**Model Architects (7):** [andrej-karpathy](personas\u002Fandrej-karpathy.md) · [jared-kaplan](personas\u002Fjared-kaplan.md) · [noam-shazeer](personas\u002Fnoam-shazeer.md) · [jason-wei](personas\u002Fjason-wei.md) · [sebastian-raschka](personas\u002Fsebastian-raschka.md) · **[patrick-lewis](personas\u002Fpatrick-lewis.md)** · **[thomas-wolf](personas\u002Fthomas-wolf.md)**\n\n**Reasoning, RL, Agents (7):** [john-schulman](personas\u002Fjohn-schulman.md) · **[noam-brown](personas\u002Fnoam-brown.md)** · [hyung-won-chung](personas\u002Fhyung-won-chung.md) · [nathan-lambert](personas\u002Fnathan-lambert.md) · [barret-zoph](personas\u002Fbarret-zoph.md) · [karina-nguyen](personas\u002Fkarina-nguyen.md) · [sasha-rush](personas\u002Fsasha-rush.md)\n\n**Alignment, Interp, Safety (9):** [chris-olah](personas\u002Fchris-olah.md) · [paul-christiano](personas\u002Fpaul-christiano.md) · [jan-leike](personas\u002Fjan-leike.md) · [dan-hendrycks](personas\u002Fdan-hendrycks.md) · [stuart-russell](personas\u002Fstuart-russell.md) · [neel-nanda](personas\u002Fneel-nanda.md) · [lilian-weng](personas\u002Flilian-weng.md) · **[beth-barnes](personas\u002Fbeth-barnes.md)** · **[helen-toner](personas\u002Fhelen-toner.md)**\n\n**Theory and Science (9):** [yann-lecun](personas\u002Fyann-lecun.md) · [yoshua-bengio](personas\u002Fyoshua-bengio.md) · [geoffrey-hinton](personas\u002Fgeoffrey-hinton.md) · **[john-jumper](personas\u002Fjohn-jumper.md)** · [percy-liang](personas\u002Fpercy-liang.md) · [christopher-manning](personas\u002Fchristopher-manning.md) · **[yejin-choi](personas\u002Fyejin-choi.md)** · [sara-hooker](personas\u002Fsara-hooker.md) · [aleksander-madry](personas\u002Faleksander-madry.md)\n\n**Multimodal, Embodied (7):** [fei-fei-li](personas\u002Ffei-fei-li.md) · [pieter-abbeel](personas\u002Fpieter-abbeel.md) · [sergey-levine](personas\u002Fsergey-levine.md) · [chelsea-finn](personas\u002Fchelsea-finn.md) · [robin-rombach](personas\u002Frobin-rombach.md) · [aditya-ramesh](personas\u002Faditya-ramesh.md) · [prafulla-dhariwal](personas\u002Fprafulla-dhariwal.md)\n\n**Systems, Kernels, Serving (7):** [tri-dao](personas\u002Ftri-dao.md) · [bryan-catanzaro](personas\u002Fbryan-catanzaro.md) · **[andrew-feldman](personas\u002Fandrew-feldman.md)** · [albert-gu](personas\u002Falbert-gu.md) · [horace-he](personas\u002Fhorace-he.md) · [woosuk-kwon](personas\u002Fwoosuk-kwon.md) · [tim-dettmers](personas\u002Ftim-dettmers.md)\n\n## Files in this team\n\n```\nsuperintelligenceTeam\u002F\n├── SKILL.md This file — user-facing entry.\n├── registry.json Machine source of truth. Read by slash commands.\n├── EXPANSION.md (Phase 2) Gap-analysis and roster-expansion candidates.\n├── templates\u002F\n│ ├── persona.md Schema source-of-truth for every persona file.\n│ └── convene.md Multi-persona session template.\n├── personas\u002F 59 *.md files, one per persona. YAML frontmatter + 6 narrative sections.\n├── cells\u002F 8 *.md cell summaries.\n├── research\u002F 59 directories, one per persona. Raw research dumps so future re-syntheses don't recrawl.\n└── scripts\u002F\n    └── build_registry.py Regenerates registry.json from persona frontmatter. Run after any persona edit.\n```\n\n\u003Ca id=\"slash-commands\">\u003C\u002Fa>\n## Slash commands (Phase 3 — installed)\n\n22 slash command files live at `~\u002F.claude\u002Fcommands\u002FsuperintelligenceTeam*.md` (user-global install, parallel to the existing `\u002Fteam` family). Each is auto-registered as a discoverable Skill — no separate `SKILL.md` registration is needed. The architecture is **orchestrator-first**: every action verb invokes the orchestrator to pick a custom 16-32 persona team and gate on user approval before executing.\n\n### Dispatcher (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam` | No args → print roster + cell heatmap. With a subcommand as first token, routes to the sibling file. With free text and no subcommand, defaults to `:meeting`. |\n\n### Orchestrator (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam:orchestrate \"\u003Cprompt>\"` | **Standalone team selection.** Reads `registry.json`, scores all 59 personas via domain match (40%) + cell coverage (30%) + productive-conflict pairing (30%), picks 16-32, asks for user approval via AskUserQuestion with per-persona one-line rationale. Hard 16-32 size enforcement. Re-picks every invocation. Does NOT load CoCo. |\n\n### Identity surface — explicit overrides (4)\n\n| Command | Purpose | Skips orchestrator? |\n|---|---|---|\n| `\u002FsuperintelligenceTeam:ask \u003Cslug> \"\u003Cquestion>\"` | 1-on-1 with one persona in their voice. | Yes |\n| `\u002FsuperintelligenceTeam:huddle \u003Ccell-slug> \"\u003Ctopic>\"` | Whole cell (4-9 personas) synthesizes. | Yes |\n| `\u002FsuperintelligenceTeam:meeting \"\u003Cprompt>\"` | Full 59-persona convene with mandatory attribution. | Yes |\n| `\u002FsuperintelligenceTeam:read \u003Cslug>` | Print the persona file inline (not voice-channeled). | Yes |\n\n### Roster management (1)\n\n| Command | Purpose |\n|---|---|\n| `\u002FsuperintelligenceTeam:recruit \u003Cdomain> \"\u003Cwhy>\"` | Propose 2-3 new persona candidates for an under-covered domain. Reads EXPANSION.md to avoid re-proposing. Does not write personas itself. |\n\n### Action surface (15) — orchestrator-first by default\n\nAll 15 invoke `\u002FsuperintelligenceTeam:orchestrate` first unless `--no-orchestrate`, `--cells`, or `--personas` flag is supplied.\n\n| Command | Output shape |\n|---|---|\n| `\u002FsuperintelligenceTeam:analyse \"\u003Ctopic>\"` | Per-persona analysis + synthesis table of strongest signals |\n| `\u002FsuperintelligenceTeam:decide \"\u003Cquestion>\"` | **Primary verb.** Decision matrix: options × personas × verdict + recommendation + named dissent |\n| `\u002FsuperintelligenceTeam:review \u003Ctarget>` | Multi-persona findings classified CRITICAL\u002FMAJOR\u002FMINOR\u002FSUGGESTION + ship verdict |\n| `\u002FsuperintelligenceTeam:re-analyse \"\u003Ctopic>\" [--prior \u003Cpath>] [--evidence \u003Ctext>]` | Updated stances + diff vs prior analysis |\n| `\u002FsuperintelligenceTeam:pre-mortem \"\u003Cplan>\"` | Ranked failure modes + early warning signs + mitigations |\n| `\u002FsuperintelligenceTeam:post-mortem \"\u003Cwhat failed>\"` | Per-persona 5 Whys + most-likely root cause + remediation plan |\n| `\u002FsuperintelligenceTeam:full-cycle \"\u003Ctopic>\"` | **Heaviest verb.** Chains `:review → :analyse → mitigate-risk → :decide → finalize` as real subcommand invocations. 5× latency. Finalized action plan. |\n| `\u002FsuperintelligenceTeam:tradeoff \"\u003CA vs B>\"` | Side-by-side dimensions × options table + most-opposed cell named |\n| `\u002FsuperintelligenceTeam:plan \"\u003Cgoal>\"` | Phased plan with owner cell + dissenting voices per phase |\n| `\u002FsuperintelligenceTeam:design \"\u003Cfeature>\"` | Component-level architecture with per-decision attribution |\n| `\u002FsuperintelligenceTeam:vote \"\u003Cbinary question>\"` | Yes\u002Fno per persona + tally by cell + recommendation |\n| `\u002FsuperintelligenceTeam:debug \"\u003Cproblem>\"` | Ranked root-cause hypotheses + diagnostic test order |\n| `\u002FsuperintelligenceTeam:stress-test \"\u003Cproposal>\"` | Adversarial attacks per persona + severity matrix + SHIP\u002FHARDEN-THEN-SHIP\u002FREFRAME\u002FDO-NOT-SHIP verdict |\n| `\u002FsuperintelligenceTeam:defend \"\u003Cposition>\" [as \u003Cslug>]` | Steelman with sharpened claim + counter-objection rebuttal + \"what would change my mind\" |\n| `\u002FsuperintelligenceTeam:roast \"\u003Cthing>\"` | One-line cutting roast per persona + single line that hurt most + convergent critique |\n\n### Global flags\n\nEvery command accepts these:\n\n| Flag | Effect |\n|---|---|\n| `--no-orchestrate` | Skip orchestrator; use all 59 personas |\n| `--cells \u003Ccomma-list>` | Manually scope to specific cells; skip orchestrator |\n| `--personas \u003Ccomma-list>` | Manually scope to specific persona slugs; skip orchestrator |\n\n### Conventions enforced by every command\n\n1. **Registry is source of truth.** Re-read every invocation; no caching.\n2. **Attribution at every line.** No \"the team said\" — name a persona or a cell.\n3. **Approval gate mandatory for action verbs** unless an explicit flag bypasses.\n4. **Hard 16-32 size band** on orchestrator output.\n5. **Full English prose** — no caveman compression in command output.\n\n## Cross-team note\n\nThis is the **first** Super Intelligence Team in CoCo. Planned follow-ons:\n\n- `cloud-super-intelligence` — AWS \u002F GCP \u002F Azure architecture\n- `finance-super-intelligence` — FP&A, accounting, finance ops\n- `coding-super-intelligence` — software-engineering practice\n- `design-super-intelligence` — UX, design systems, visual design\n- `product-super-intelligence` — PM craft, product strategy\n\nAll teams share the same schema (`teams: [...]` array on each persona, functional cell slugs, slash-command surface). A persona may belong to multiple teams — Karpathy will likely also appear in a future coding-super-intelligence team because of his pedagogical reach into engineering practice. The `teams:` field is an array exactly so this is cheap.\n\n## Conventions\n\n- **Schema source of truth:** `templates\u002Fpersona.md`. Edit there first; persona files conform.\n- **Registry regeneration:** run `python3 superintelligenceTeam\u002Fscripts\u002Fbuild_registry.py` after any persona edit.\n- **Caveman mode does NOT apply** to persona files, cell files, or this SKILL.md. Documentation is always full English prose per the project rule.\n- **Citation is mandatory.** Every `public_stance` has an `evidence_url`. No uncited claims.\n- **v2 panel preservation.** Personas with `v2_panel_attribution` entries anchor to actual material from the founding Memory v2 synthesis on 2026-05-26. Convene uses those first.\n- **Confidence calibration.** `confidence \u003C 0.85` means we suspect identifier or biographical detail may need re-verification. Persona is still usable but flag in convene.\n\n## Build provenance\n\n- Forged 2026-05-27 during \u002Fcoco session.\n- Quality bar set by Karpathy reference (12 cited URLs, 5 recent_signal_12mo entries, full 6-section narrative).\n- 46 remaining personas built by parallel research sub-agents in 6 waves (8 + 8 + 8 + 8 + 8 + 6).\n- Several agent runs corrected the user-supplied hints with verified facts (e.g., Lilian Weng's PhD = Indiana not NYU; Sergey Levine's PhD advisor = Vladlen Koltun not Pieter Abbeel; Barret Zoph fired from TML Jan 2026 and returned to OpenAI; Aditya Ramesh stayed at OpenAI Worldsim VP not TML).\n- All persona files written in full English prose. Caveman mode active in chat throughout.\n",{"name":5,"team_id":5,"team_name":60,"description":7,"last_updated":61,"schema_version":62},"AI Super Intelligence Team","2026-05-28","1.0","main","cd89f013b617f7eea982a9bbc60e992974fda2aa","systems\u002Fsuperintelligence\u002Fai",15,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco","https:\u002F\u002Fcocoresearch.org\u002Fcoco\u002F","https:\u002F\u002Fgithub.com\u002Fcoco-research","https:\u002F\u002Fcocoresearch.org","Local-first, open-source tools for people who work with AI agents: governed memory, agents that check their own work, and data that stays on your machine.","2026-11-10 10:38:36",{"source":8,"skillName":5,"commands":74,"prompt":84,"zipAvailable":85},[75,78,81],{"tool":76,"command":77},"npx","npx skills add coco-research\u002Fcoco --skill ai-super-intelligence",{"tool":79,"command":80},"bunx","bunx skills add coco-research\u002Fcoco --skill ai-super-intelligence",{"tool":82,"command":83},"pnpm","pnpm dlx skills add coco-research\u002Fcoco --skill ai-super-intelligence","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002FSKILL.md",true,[87,93,97,101,105,109,113,117,121,125,129,133,137,141,145,149,153,157,161,165,169,173,177,181,185,189,193,197,201,205,209,213,217,221,225,229,233,237,241,245,249,253,257,261,265,269,273,277,281,285,289,293,297,301,305,309,313,317,321,325,329,333,337,340,344,348,352,356,360,364,368,372,376,380,384,388,392,396,400,404,408,412,416,420,424,428,432,436,440,444,448,452,456,460,464,468,472,476,480,484,488,492,496,500,504,508,512,516,520,524,528,532,536,540,544,548,552,556,560,564,568,572,576,580,584,588,592,596,600,604,608,612,616,620,624,628,632,636,639,643,647,651,655,659,663,667,671,675,679,683,687,691,695,699,703,707,711,715,719,723,727,731,735,739,742,746,750,754,758,762,766,770,774,778,782,786,790,794,798,802,806,810,814,818,822,826,830,834,838,842,846,850,854,858,862,866,870,874,878,882,886,890,894,898,902,906,910,914,918,922,926,930,934,938,942,946,950,954,958,962,966,970,974,978,982,986,990,994,998,1002,1006,1010,1014,1018,1022,1026,1029,1033,1037,1041,1045,1049,1053,1057,1061,1065,1069,1073,1077,1081,1085,1089,1093,1097,1101,1105,1109,1113,1117,1121,1125,1128,1132,1136,1140,1144,1148,1151,1155,1158,1162,1166,1169,1173,1177,1181,1185,1189,1193,1197,1201,1205,1209,1213,1217,1221,1225,1228,1231,1235,1239,1243,1247,1251,1255,1259,1263,1267,1271,1275,1279,1283,1287,1291,1295,1299,1303,1307,1311,1315,1319,1323,1327,1331,1335,1339,1343,1347,1351,1355,1359,1363,1367,1371,1375,1379,1383,1387,1391,1395,1399,1403,1407,1411,1415,1419,1423,1427,1431,1435,1439,1443,1447,1451,1455,1459,1463,1466,1470,1474,1478,1482,1486,1490,1494,1498,1502,1506,1510,1514,1518,1522,1526,1529,1533,1537,1541,1545,1549,1553,1556,1560,1564,1568,1572,1576,1580,1584,1588,1592,1596,1600,1604,1608,1612,1616,1620,1624,1628,1632,1636,1640,1644,1648,1652,1656,1660,1664,1668,1672,1676,1680,1684,1688,1692,1696,1700,1704,1708,1712,1716,1720,1723,1727,1731,1735,1739,1743,1746,1750,1753,1757,1761,1765,1769,1773,1777,1781,1785,1789,1793,1797,1801,1805,1809,1813,1817,1821,1825,1829,1833,1837,1841,1845,1849,1853,1857,1861,1864,1868,1872,1876,1880,1884,1888,1892,1896,1900,1904,1908,1912,1916,1920,1924,1928,1932,1935,1939,1943,1946,1950,1954,1958,1962,1966,1970,1974,1978,1982,1986,1990,1994,1998,2002,2006,2010,2014,2018,2022,2026,2030,2034,2040,2044],{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"cells\u002Falignment-interp-safety.md","REFERENCE","参考文档",5484,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Falignment-interp-safety.md",{"path":94,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":95,"sourceHtmlUrl":96},"cells\u002Fapplied-ai-leadership.md",5649,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Fapplied-ai-leadership.md",{"path":98,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":99,"sourceHtmlUrl":100},"cells\u002Ffrontier-labs-research.md",4584,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Ffrontier-labs-research.md",{"path":102,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":103,"sourceHtmlUrl":104},"cells\u002Fmodel-architects.md",4707,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Fmodel-architects.md",{"path":106,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":107,"sourceHtmlUrl":108},"cells\u002Fmultimodal-embodied.md",3827,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Fmultimodal-embodied.md",{"path":110,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":111,"sourceHtmlUrl":112},"cells\u002Freasoning-rl-agents.md",4571,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Freasoning-rl-agents.md",{"path":114,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":115,"sourceHtmlUrl":116},"cells\u002Fsystems-kernels-serving.md",4627,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Fsystems-kernels-serving.md",{"path":118,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":119,"sourceHtmlUrl":120},"cells\u002Ftheory-science.md",5457,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fcells\u002Ftheory-science.md",{"path":122,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":123,"sourceHtmlUrl":124},"EXPANSION.md",56372,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002FEXPANSION.md",{"path":126,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":127,"sourceHtmlUrl":128},"personas\u002Faditya-ramesh.md",25787,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Faditya-ramesh.md",{"path":130,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":131,"sourceHtmlUrl":132},"personas\u002Faidan-gomez.md",26994,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Faidan-gomez.md",{"path":134,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":135,"sourceHtmlUrl":136},"personas\u002Falbert-gu.md",26879,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Falbert-gu.md",{"path":138,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":139,"sourceHtmlUrl":140},"personas\u002Faleksander-madry.md",29511,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Faleksander-madry.md",{"path":142,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":143,"sourceHtmlUrl":144},"personas\u002Fandrej-karpathy.md",21960,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fandrej-karpathy.md",{"path":146,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":147,"sourceHtmlUrl":148},"personas\u002Fandrew-feldman.md",38366,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fandrew-feldman.md",{"path":150,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":151,"sourceHtmlUrl":152},"personas\u002Faravind-srinivas.md",26697,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Faravind-srinivas.md",{"path":154,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":155,"sourceHtmlUrl":156},"personas\u002Farthur-mensch.md",33453,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Farthur-mensch.md",{"path":158,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":159,"sourceHtmlUrl":160},"personas\u002Fbarret-zoph.md",25749,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fbarret-zoph.md",{"path":162,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":163,"sourceHtmlUrl":164},"personas\u002Fbeth-barnes.md",36791,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fbeth-barnes.md",{"path":166,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":167,"sourceHtmlUrl":168},"personas\u002Fbryan-catanzaro.md",30709,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fbryan-catanzaro.md",{"path":170,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":171,"sourceHtmlUrl":172},"personas\u002Fchelsea-finn.md",27142,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fchelsea-finn.md",{"path":174,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":175,"sourceHtmlUrl":176},"personas\u002Fchris-olah.md",27871,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fchris-olah.md",{"path":178,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":179,"sourceHtmlUrl":180},"personas\u002Fchristopher-manning.md",27208,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fchristopher-manning.md",{"path":182,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":183,"sourceHtmlUrl":184},"personas\u002Fdan-hendrycks.md",29990,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fdan-hendrycks.md",{"path":186,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":187,"sourceHtmlUrl":188},"personas\u002Fdario-amodei.md",27544,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fdario-amodei.md",{"path":190,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":191,"sourceHtmlUrl":192},"personas\u002Fdemis-hassabis.md",30733,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fdemis-hassabis.md",{"path":194,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":195,"sourceHtmlUrl":196},"personas\u002Felon-musk.md",34592,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Felon-musk.md",{"path":198,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":199,"sourceHtmlUrl":200},"personas\u002Ffei-fei-li.md",29081,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Ffei-fei-li.md",{"path":202,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":203,"sourceHtmlUrl":204},"personas\u002Fgeoffrey-hinton.md",31145,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fgeoffrey-hinton.md",{"path":206,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":207,"sourceHtmlUrl":208},"personas\u002Fgreg-brockman.md",27122,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fgreg-brockman.md",{"path":210,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":211,"sourceHtmlUrl":212},"personas\u002Fhelen-toner.md",34872,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fhelen-toner.md",{"path":214,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":215,"sourceHtmlUrl":216},"personas\u002Fhorace-he.md",26438,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fhorace-he.md",{"path":218,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":219,"sourceHtmlUrl":220},"personas\u002Fhyung-won-chung.md",28112,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fhyung-won-chung.md",{"path":222,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":223,"sourceHtmlUrl":224},"personas\u002Filya-sutskever.md",26239,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Filya-sutskever.md",{"path":226,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":227,"sourceHtmlUrl":228},"personas\u002Fjakub-pachocki.md",25042,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjakub-pachocki.md",{"path":230,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":231,"sourceHtmlUrl":232},"personas\u002Fjan-leike.md",28351,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjan-leike.md",{"path":234,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":235,"sourceHtmlUrl":236},"personas\u002Fjared-kaplan.md",26823,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjared-kaplan.md",{"path":238,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":239,"sourceHtmlUrl":240},"personas\u002Fjason-wei.md",25238,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjason-wei.md",{"path":242,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":243,"sourceHtmlUrl":244},"personas\u002Fjohn-jumper.md",32991,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjohn-jumper.md",{"path":246,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":247,"sourceHtmlUrl":248},"personas\u002Fjohn-schulman.md",28293,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fjohn-schulman.md",{"path":250,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":251,"sourceHtmlUrl":252},"personas\u002Fkarina-nguyen.md",28781,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fkarina-nguyen.md",{"path":254,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":255,"sourceHtmlUrl":256},"personas\u002Fliang-wenfeng.md",32109,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fliang-wenfeng.md",{"path":258,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":259,"sourceHtmlUrl":260},"personas\u002Flilian-weng.md",30043,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Flilian-weng.md",{"path":262,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":263,"sourceHtmlUrl":264},"personas\u002Fmira-murati.md",28096,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fmira-murati.md",{"path":266,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":267,"sourceHtmlUrl":268},"personas\u002Fnathan-lambert.md",26858,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fnathan-lambert.md",{"path":270,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":271,"sourceHtmlUrl":272},"personas\u002Fneel-nanda.md",29138,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fneel-nanda.md",{"path":274,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":275,"sourceHtmlUrl":276},"personas\u002Fnoam-brown.md",35696,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fnoam-brown.md",{"path":278,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":279,"sourceHtmlUrl":280},"personas\u002Fnoam-shazeer.md",23105,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fnoam-shazeer.md",{"path":282,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":283,"sourceHtmlUrl":284},"personas\u002Fpatrick-lewis.md",29463,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fpatrick-lewis.md",{"path":286,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":287,"sourceHtmlUrl":288},"personas\u002Fpaul-christiano.md",29038,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fpaul-christiano.md",{"path":290,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":291,"sourceHtmlUrl":292},"personas\u002Fpercy-liang.md",24573,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fpercy-liang.md",{"path":294,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":295,"sourceHtmlUrl":296},"personas\u002Fpieter-abbeel.md",28050,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fpieter-abbeel.md",{"path":298,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":299,"sourceHtmlUrl":300},"personas\u002Fprafulla-dhariwal.md",25804,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fprafulla-dhariwal.md",{"path":302,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":303,"sourceHtmlUrl":304},"personas\u002Frobin-rombach.md",26753,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Frobin-rombach.md",{"path":306,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":307,"sourceHtmlUrl":308},"personas\u002Fsam-altman.md",32792,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsam-altman.md",{"path":310,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":311,"sourceHtmlUrl":312},"personas\u002Fsara-hooker.md",28260,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsara-hooker.md",{"path":314,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":315,"sourceHtmlUrl":316},"personas\u002Fsasha-rush.md",27847,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsasha-rush.md",{"path":318,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":319,"sourceHtmlUrl":320},"personas\u002Fsebastian-raschka.md",27232,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsebastian-raschka.md",{"path":322,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":323,"sourceHtmlUrl":324},"personas\u002Fsergey-levine.md",27499,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsergey-levine.md",{"path":326,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":327,"sourceHtmlUrl":328},"personas\u002Fsteve-jobs.md",43543,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fsteve-jobs.md",{"path":330,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":331,"sourceHtmlUrl":332},"personas\u002Fstuart-russell.md",32883,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fstuart-russell.md",{"path":334,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":335,"sourceHtmlUrl":336},"personas\u002Fthomas-wolf.md",32019,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fthomas-wolf.md",{"path":338,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":319,"sourceHtmlUrl":339},"personas\u002Ftim-dettmers.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Ftim-dettmers.md",{"path":341,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":342,"sourceHtmlUrl":343},"personas\u002Ftri-dao.md",30793,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Ftri-dao.md",{"path":345,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":346,"sourceHtmlUrl":347},"personas\u002Fwoosuk-kwon.md",25333,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fwoosuk-kwon.md",{"path":349,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":350,"sourceHtmlUrl":351},"personas\u002Fyann-lecun.md",30654,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fyann-lecun.md",{"path":353,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":354,"sourceHtmlUrl":355},"personas\u002Fyejin-choi.md",31432,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fyejin-choi.md",{"path":357,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":358,"sourceHtmlUrl":359},"personas\u002Fyoshua-bengio.md",29727,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fpersonas\u002Fyoshua-bengio.md",{"path":361,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":362,"sourceHtmlUrl":363},"registry.json",113048,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fregistry.json",{"path":365,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":366,"sourceHtmlUrl":367},"research\u002Faditya-ramesh\u002F01-personal-site-bio.md",4195,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F01-personal-site-bio.md",{"path":369,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":370,"sourceHtmlUrl":371},"research\u002Faditya-ramesh\u002F02-canonical-publications.md",6482,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F02-canonical-publications.md",{"path":373,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":374,"sourceHtmlUrl":375},"research\u002Faditya-ramesh\u002F03-no-priors-podcast.md",3799,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F03-no-priors-podcast.md",{"path":377,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":378,"sourceHtmlUrl":379},"research\u002Faditya-ramesh\u002F04-sora-2-launch-and-worldsim.md",4350,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F04-sora-2-launch-and-worldsim.md",{"path":381,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":382,"sourceHtmlUrl":383},"research\u002Faditya-ramesh\u002F05-venturebeat-creative-copilot.md",3787,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F05-venturebeat-creative-copilot.md",{"path":385,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":386,"sourceHtmlUrl":387},"research\u002Faditya-ramesh\u002F06-lecun-origin-tweet.md",2928,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F06-lecun-origin-tweet.md",{"path":389,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":390,"sourceHtmlUrl":391},"research\u002Faditya-ramesh\u002F07-research-stance-synthesis.md",7838,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faditya-ramesh\u002F07-research-stance-synthesis.md",{"path":393,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":394,"sourceHtmlUrl":395},"research\u002Faidan-gomez\u002F01-wikipedia.md",2109,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F01-wikipedia.md",{"path":397,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":398,"sourceHtmlUrl":399},"research\u002Faidan-gomez\u002F02-wikipedia-cohere.md",3862,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F02-wikipedia-cohere.md",{"path":401,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":402,"sourceHtmlUrl":403},"research\u002Faidan-gomez\u002F03-command-a-plus-launch.md",1764,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F03-command-a-plus-launch.md",{"path":405,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":406,"sourceHtmlUrl":407},"research\u002Faidan-gomez\u002F04-funding-amd-partnership.md",1568,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F04-funding-amd-partnership.md",{"path":409,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":410,"sourceHtmlUrl":411},"research\u002Faidan-gomez\u002F05-transcribe-launch.md",1560,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F05-transcribe-launch.md",{"path":413,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":414,"sourceHtmlUrl":415},"research\u002Faidan-gomez\u002F06-podcasts-and-voice.md",3834,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F06-podcasts-and-voice.md",{"path":417,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":418,"sourceHtmlUrl":419},"research\u002Faidan-gomez\u002F07-cohere-labs-aya.md",2243,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faidan-gomez\u002F07-cohere-labs-aya.md",{"path":421,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":422,"sourceHtmlUrl":423},"research\u002Falbert-gu\u002F01-bio-and-career.md",5727,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F01-bio-and-career.md",{"path":425,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":426,"sourceHtmlUrl":427},"research\u002Falbert-gu\u002F02-canonical-works-and-publications.md",7426,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F02-canonical-works-and-publications.md",{"path":429,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":430,"sourceHtmlUrl":431},"research\u002Falbert-gu\u002F03-recent-signals-12mo.md",6413,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F03-recent-signals-12mo.md",{"path":433,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":434,"sourceHtmlUrl":435},"research\u002Falbert-gu\u002F04-stances-and-framings.md",8686,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F04-stances-and-framings.md",{"path":437,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":438,"sourceHtmlUrl":439},"research\u002Falbert-gu\u002F05-blind-spots-and-when-not-to-summon.md",5559,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F05-blind-spots-and-when-not-to-summon.md",{"path":441,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":442,"sourceHtmlUrl":443},"research\u002Falbert-gu\u002F06-pairings-and-conflicts.md",4773,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F06-pairings-and-conflicts.md",{"path":445,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":446,"sourceHtmlUrl":447},"research\u002Falbert-gu\u002F07-summon-and-voice-notes.md",5158,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Falbert-gu\u002F07-summon-and-voice-notes.md",{"path":449,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":450,"sourceHtmlUrl":451},"research\u002Faleksander-madry\u002F01-biography-and-affiliations.md",2991,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F01-biography-and-affiliations.md",{"path":453,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":454,"sourceHtmlUrl":455},"research\u002Faleksander-madry\u002F02-canonical-works-adversarial-robustness.md",4379,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F02-canonical-works-adversarial-robustness.md",{"path":457,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":458,"sourceHtmlUrl":459},"research\u002Faleksander-madry\u002F03-openai-preparedness-history.md",5134,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F03-openai-preparedness-history.md",{"path":461,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":462,"sourceHtmlUrl":463},"research\u002Faleksander-madry\u002F04-recent-signals-12mo.md",4392,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F04-recent-signals-12mo.md",{"path":465,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":466,"sourceHtmlUrl":467},"research\u002Faleksander-madry\u002F05-public-stances-and-conflicts.md",5576,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F05-public-stances-and-conflicts.md",{"path":469,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":470,"sourceHtmlUrl":471},"research\u002Faleksander-madry\u002F06-mental-models-and-signature-moves.md",5860,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F06-mental-models-and-signature-moves.md",{"path":473,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":474,"sourceHtmlUrl":475},"research\u002Faleksander-madry\u002F07-when-to-summon.md",3565,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faleksander-madry\u002F07-when-to-summon.md",{"path":477,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":478,"sourceHtmlUrl":479},"research\u002Fandrej-karpathy\u002F01-wikipedia-bio.md",2226,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F01-wikipedia-bio.md",{"path":481,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":482,"sourceHtmlUrl":483},"research\u002Fandrej-karpathy\u002F02-dwarkesh-podcast-oct-2025.md",2527,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F02-dwarkesh-podcast-oct-2025.md",{"path":485,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":486,"sourceHtmlUrl":487},"research\u002Fandrej-karpathy\u002F03-bearblog-year-in-review-2025.md",2694,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F03-bearblog-year-in-review-2025.md",{"path":489,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":490,"sourceHtmlUrl":491},"research\u002Fandrej-karpathy\u002F04-software-3-0-yc-2025.md",2850,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F04-software-3-0-yc-2025.md",{"path":493,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":494,"sourceHtmlUrl":495},"research\u002Fandrej-karpathy\u002F05-karpathy-ai-personal-site.md",2064,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F05-karpathy-ai-personal-site.md",{"path":497,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":498,"sourceHtmlUrl":499},"research\u002Fandrej-karpathy\u002F06-nanochat-launch-oct-2025.md",1780,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F06-nanochat-launch-oct-2025.md",{"path":501,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":502,"sourceHtmlUrl":503},"research\u002Fandrej-karpathy\u002F07-v2-panel-attribution.md",3440,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrej-karpathy\u002F07-v2-panel-attribution.md",{"path":505,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":506,"sourceHtmlUrl":507},"research\u002Fandrew-feldman\u002F01-biography-and-pre-cerebras-career.md",5356,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F01-biography-and-pre-cerebras-career.md",{"path":509,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":510,"sourceHtmlUrl":511},"research\u002Fandrew-feldman\u002F02-wafer-scale-engine-generations.md",4699,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F02-wafer-scale-engine-generations.md",{"path":513,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":514,"sourceHtmlUrl":515},"research\u002Fandrew-feldman\u002F03-cerebras-inference-launch-and-records.md",5808,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F03-cerebras-inference-launch-and-records.md",{"path":517,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":518,"sourceHtmlUrl":519},"research\u002Fandrew-feldman\u002F04-g42-condor-galaxy-and-cfius.md",5227,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F04-g42-condor-galaxy-and-cfius.md",{"path":521,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":522,"sourceHtmlUrl":523},"research\u002Fandrew-feldman\u002F05-ipo-and-recent-signals-2026.md",7514,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F05-ipo-and-recent-signals-2026.md",{"path":525,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":526,"sourceHtmlUrl":527},"research\u002Fandrew-feldman\u002F06-signature-framings-and-mental-models.md",8842,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F06-signature-framings-and-mental-models.md",{"path":529,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":530,"sourceHtmlUrl":531},"research\u002Fandrew-feldman\u002F07-competitive-position-vs-nvidia-and-peers.md",9418,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fandrew-feldman\u002F07-competitive-position-vs-nvidia-and-peers.md",{"path":533,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":534,"sourceHtmlUrl":535},"research\u002Faravind-srinivas\u002F01-biography-and-education.md",2325,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F01-biography-and-education.md",{"path":537,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":538,"sourceHtmlUrl":539},"research\u002Faravind-srinivas\u002F02-research-papers-berkeley.md",3842,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F02-research-papers-berkeley.md",{"path":541,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":542,"sourceHtmlUrl":543},"research\u002Faravind-srinivas\u002F03-perplexity-product-and-funding.md",4518,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F03-perplexity-product-and-funding.md",{"path":545,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":546,"sourceHtmlUrl":547},"research\u002Faravind-srinivas\u002F04-lex-fridman-podcast-quotes.md",2636,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F04-lex-fridman-podcast-quotes.md",{"path":549,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":550,"sourceHtmlUrl":551},"research\u002Faravind-srinivas\u002F05-stanford-gsb-and-haas-talks.md",3800,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F05-stanford-gsb-and-haas-talks.md",{"path":553,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":554,"sourceHtmlUrl":555},"research\u002Faravind-srinivas\u002F06-comet-browser-and-agents.md",3870,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F06-comet-browser-and-agents.md",{"path":557,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":558,"sourceHtmlUrl":559},"research\u002Faravind-srinivas\u002F07-public-stances-distilled.md",4148,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Faravind-srinivas\u002F07-public-stances-distilled.md",{"path":561,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":562,"sourceHtmlUrl":563},"research\u002Farthur-mensch\u002F01-biography-and-education.md",2427,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F01-biography-and-education.md",{"path":565,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":566,"sourceHtmlUrl":567},"research\u002Farthur-mensch\u002F02-national-assembly-may-2026.md",3743,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F02-national-assembly-may-2026.md",{"path":569,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":570,"sourceHtmlUrl":571},"research\u002Farthur-mensch\u002F03-chinchilla-paper.md",3162,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F03-chinchilla-paper.md",{"path":573,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":574,"sourceHtmlUrl":575},"research\u002Farthur-mensch\u002F04-mistral-models-and-products.md",3109,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F04-mistral-models-and-products.md",{"path":577,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":578,"sourceHtmlUrl":579},"research\u002Farthur-mensch\u002F05-funding-and-partnerships.md",3845,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F05-funding-and-partnerships.md",{"path":581,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":582,"sourceHtmlUrl":583},"research\u002Farthur-mensch\u002F06-european-ai-playbook-april-2026.md",3232,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F06-european-ai-playbook-april-2026.md",{"path":585,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":586,"sourceHtmlUrl":587},"research\u002Farthur-mensch\u002F07-recent-public-stances.md",4861,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Farthur-mensch\u002F07-recent-public-stances.md",{"path":589,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":590,"sourceHtmlUrl":591},"research\u002Fbarret-zoph\u002F01-identity-and-affiliations.md",2923,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F01-identity-and-affiliations.md",{"path":593,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":594,"sourceHtmlUrl":595},"research\u002Fbarret-zoph\u002F02-canonical-works-and-publications.md",3758,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F02-canonical-works-and-publications.md",{"path":597,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":598,"sourceHtmlUrl":599},"research\u002Fbarret-zoph\u002F03-post-training-talk-detail.md",5797,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F03-post-training-talk-detail.md",{"path":601,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":602,"sourceHtmlUrl":603},"research\u002Fbarret-zoph\u002F04-thinking-machines-tenure.md",4052,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F04-thinking-machines-tenure.md",{"path":605,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":606,"sourceHtmlUrl":607},"research\u002Fbarret-zoph\u002F05-recent-signals-12mo.md",3683,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F05-recent-signals-12mo.md",{"path":609,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":610,"sourceHtmlUrl":611},"research\u002Fbarret-zoph\u002F06-public-stances-and-framings.md",6383,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F06-public-stances-and-framings.md",{"path":613,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":614,"sourceHtmlUrl":615},"research\u002Fbarret-zoph\u002F07-pairings-and-conflicts.md",5239,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbarret-zoph\u002F07-pairings-and-conflicts.md",{"path":617,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":618,"sourceHtmlUrl":619},"research\u002Fbeth-barnes\u002F01-metr-team-page-and-career-history.md",4089,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F01-metr-team-page-and-career-history.md",{"path":621,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":622,"sourceHtmlUrl":623},"research\u002Fbeth-barnes\u002F02-seven-month-rule-and-long-task-horizon.md",4806,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F02-seven-month-rule-and-long-task-horizon.md",{"path":625,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":626,"sourceHtmlUrl":627},"research\u002Fbeth-barnes\u002F03-pre-deployment-evals-and-independent-evaluation.md",6477,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F03-pre-deployment-evals-and-independent-evaluation.md",{"path":629,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":630,"sourceHtmlUrl":631},"research\u002Fbeth-barnes\u002F04-gpt5-and-frontier-evaluations-track-record.md",6574,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F04-gpt5-and-frontier-evaluations-track-record.md",{"path":633,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":634,"sourceHtmlUrl":635},"research\u002Fbeth-barnes\u002F05-developer-productivity-study-and-revision.md",5029,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F05-developer-productivity-study-and-revision.md",{"path":637,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":95,"sourceHtmlUrl":638},"research\u002Fbeth-barnes\u002F06-key-quotes-and-public-stances.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F06-key-quotes-and-public-stances.md",{"path":640,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":641,"sourceHtmlUrl":642},"research\u002Fbeth-barnes\u002F07-blind-spots-and-perception-of-independence.md",6871,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbeth-barnes\u002F07-blind-spots-and-perception-of-independence.md",{"path":644,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":645,"sourceHtmlUrl":646},"research\u002Fbryan-catanzaro\u002F01-nvidia-bio-and-berkeley.md",3360,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F01-nvidia-bio-and-berkeley.md",{"path":648,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":649,"sourceHtmlUrl":650},"research\u002Fbryan-catanzaro\u002F02-megatron-lm-and-canonical-publications.md",5035,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F02-megatron-lm-and-canonical-publications.md",{"path":652,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":653,"sourceHtmlUrl":654},"research\u002Fbryan-catanzaro\u002F03-interconnects-podcast-open-models.md",3667,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F03-interconnects-podcast-open-models.md",{"path":656,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":657,"sourceHtmlUrl":658},"research\u002Fbryan-catanzaro\u002F04-x-feed-and-recent-signals.md",5179,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F04-x-feed-and-recent-signals.md",{"path":660,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":661,"sourceHtmlUrl":662},"research\u002Fbryan-catanzaro\u002F05-jensen-huang-cudnn-origin-story.md",4308,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F05-jensen-huang-cudnn-origin-story.md",{"path":664,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":665,"sourceHtmlUrl":666},"research\u002Fbryan-catanzaro\u002F06-nemotron-3-architecture-and-nvfp4.md",4201,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F06-nemotron-3-architecture-and-nvfp4.md",{"path":668,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":669,"sourceHtmlUrl":670},"research\u002Fbryan-catanzaro\u002F07-v2-panel-attribution.md",1381,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fbryan-catanzaro\u002F07-v2-panel-attribution.md",{"path":672,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":673,"sourceHtmlUrl":674},"research\u002Fchelsea-finn\u002F01-stanford-profile.md",2685,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F01-stanford-profile.md",{"path":676,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":677,"sourceHtmlUrl":678},"research\u002Fchelsea-finn\u002F02-physical-intelligence-and-pi-models.md",3704,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F02-physical-intelligence-and-pi-models.md",{"path":680,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":681,"sourceHtmlUrl":682},"research\u002Fchelsea-finn\u002F03-maml-and-meta-learning.md",3080,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F03-maml-and-meta-learning.md",{"path":684,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":685,"sourceHtmlUrl":686},"research\u002Fchelsea-finn\u002F04-aloha-mobile-aloha-srt-h.md",3747,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F04-aloha-mobile-aloha-srt-h.md",{"path":688,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":689,"sourceHtmlUrl":690},"research\u002Fchelsea-finn\u002F05-rt-2-and-google-brain-history.md",2939,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F05-rt-2-and-google-brain-history.md",{"path":692,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":693,"sourceHtmlUrl":694},"research\u002Fchelsea-finn\u002F06-recent-signals-2025-2026.md",4520,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F06-recent-signals-2025-2026.md",{"path":696,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":697,"sourceHtmlUrl":698},"research\u002Fchelsea-finn\u002F07-signature-framings-and-stances.md",5986,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchelsea-finn\u002F07-signature-framings-and-stances.md",{"path":700,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":701,"sourceHtmlUrl":702},"research\u002Fchris-olah\u002F01-wikipedia-bio.md",4611,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F01-wikipedia-bio.md",{"path":704,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":705,"sourceHtmlUrl":706},"research\u002Fchris-olah\u002F02-biology-of-llm-march-2025.md",3624,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F02-biology-of-llm-march-2025.md",{"path":708,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":709,"sourceHtmlUrl":710},"research\u002Fchris-olah\u002F03-scaling-monosemanticity-2024.md",4104,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F03-scaling-monosemanticity-2024.md",{"path":712,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":713,"sourceHtmlUrl":714},"research\u002Fchris-olah\u002F04-far-ai-alignment-workshop-2023.md",3120,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F04-far-ai-alignment-workshop-2023.md",{"path":716,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":717,"sourceHtmlUrl":718},"research\u002Fchris-olah\u002F05-vatican-address-may-2026.md",3781,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F05-vatican-address-may-2026.md",{"path":720,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":721,"sourceHtmlUrl":722},"research\u002Fchris-olah\u002F06-colah-blog-and-distill.md",4170,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F06-colah-blog-and-distill.md",{"path":724,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":725,"sourceHtmlUrl":726},"research\u002Fchris-olah\u002F07-recent-signals-2025-2026.md",5131,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F07-recent-signals-2025-2026.md",{"path":728,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":729,"sourceHtmlUrl":730},"research\u002Fchris-olah\u002F08-v2-panel-attribution.md",3857,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchris-olah\u002F08-v2-panel-attribution.md",{"path":732,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":733,"sourceHtmlUrl":734},"research\u002Fchristopher-manning\u002F01-biographical-core.md",2787,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F01-biographical-core.md",{"path":736,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":737,"sourceHtmlUrl":738},"research\u002Fchristopher-manning\u002F02-canonical-works.md",4234,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F02-canonical-works.md",{"path":740,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":119,"sourceHtmlUrl":741},"research\u002Fchristopher-manning\u002F03-recent-2025-2026-signals.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F03-recent-2025-2026-signals.md",{"path":743,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":744,"sourceHtmlUrl":745},"research\u002Fchristopher-manning\u002F04-public-stances.md",4693,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F04-public-stances.md",{"path":747,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":748,"sourceHtmlUrl":749},"research\u002Fchristopher-manning\u002F05-voice-and-mental-models.md",4735,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F05-voice-and-mental-models.md",{"path":751,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":752,"sourceHtmlUrl":753},"research\u002Fchristopher-manning\u002F06-pairings-and-conflicts.md",3932,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F06-pairings-and-conflicts.md",{"path":755,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":756,"sourceHtmlUrl":757},"research\u002Fchristopher-manning\u002F07-blind-spots-and-when-not-to-summon.md",3875,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fchristopher-manning\u002F07-blind-spots-and-when-not-to-summon.md",{"path":759,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":760,"sourceHtmlUrl":761},"research\u002Fdan-hendrycks\u002F01-biography-and-affiliations.md",2778,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F01-biography-and-affiliations.md",{"path":763,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":764,"sourceHtmlUrl":765},"research\u002Fdan-hendrycks\u002F02-canonical-works-papers-benchmarks.md",8623,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F02-canonical-works-papers-benchmarks.md",{"path":767,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":768,"sourceHtmlUrl":769},"research\u002Fdan-hendrycks\u002F03-superintelligence-strategy-and-maim.md",4770,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F03-superintelligence-strategy-and-maim.md",{"path":771,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":772,"sourceHtmlUrl":773},"research\u002Fdan-hendrycks\u002F04-interpretability-and-rep-engineering.md",3762,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F04-interpretability-and-rep-engineering.md",{"path":775,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":776,"sourceHtmlUrl":777},"research\u002Fdan-hendrycks\u002F05-cais-statement-on-ai-risk.md",3536,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F05-cais-statement-on-ai-risk.md",{"path":779,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":780,"sourceHtmlUrl":781},"research\u002Fdan-hendrycks\u002F06-recent-signals-12mo.md",4356,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F06-recent-signals-12mo.md",{"path":783,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":784,"sourceHtmlUrl":785},"research\u002Fdan-hendrycks\u002F07-public-stances-and-conflicts.md",5820,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdan-hendrycks\u002F07-public-stances-and-conflicts.md",{"path":787,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":788,"sourceHtmlUrl":789},"research\u002Fdario-amodei\u002F01-wikipedia-biography.md",2434,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F01-wikipedia-biography.md",{"path":791,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":792,"sourceHtmlUrl":793},"research\u002Fdario-amodei\u002F02-machines-of-loving-grace.md",3724,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F02-machines-of-loving-grace.md",{"path":795,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":796,"sourceHtmlUrl":797},"research\u002Fdario-amodei\u002F03-adolescence-of-technology.md",3849,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F03-adolescence-of-technology.md",{"path":799,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":800,"sourceHtmlUrl":801},"research\u002Fdario-amodei\u002F04-deepseek-export-controls.md",2586,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F04-deepseek-export-controls.md",{"path":803,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":804,"sourceHtmlUrl":805},"research\u002Fdario-amodei\u002F05-lex-fridman-452.md",2931,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F05-lex-fridman-452.md",{"path":807,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":808,"sourceHtmlUrl":809},"research\u002Fdario-amodei\u002F06-claude-4-and-pentagon-2026.md",2925,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F06-claude-4-and-pentagon-2026.md",{"path":811,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":812,"sourceHtmlUrl":813},"research\u002Fdario-amodei\u002F07-canonical-publications.md",2865,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdario-amodei\u002F07-canonical-publications.md",{"path":815,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":816,"sourceHtmlUrl":817},"research\u002Fdemis-hassabis\u002F01-biography-wikipedia.md",4737,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F01-biography-wikipedia.md",{"path":819,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":820,"sourceHtmlUrl":821},"research\u002Fdemis-hassabis\u002F02-nobel-prize-2024.md",2107,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F02-nobel-prize-2024.md",{"path":823,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":824,"sourceHtmlUrl":825},"research\u002Fdemis-hassabis\u002F03-lex-fridman-podcast-475.md",2617,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F03-lex-fridman-podcast-475.md",{"path":827,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":828,"sourceHtmlUrl":829},"research\u002Fdemis-hassabis\u002F04-recent-products-2025-2026.md",4416,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F04-recent-products-2025-2026.md",{"path":831,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":832,"sourceHtmlUrl":833},"research\u002Fdemis-hassabis\u002F05-davos-2026-and-60-minutes.md",3710,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F05-davos-2026-and-60-minutes.md",{"path":835,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":836,"sourceHtmlUrl":837},"research\u002Fdemis-hassabis\u002F06-signature-framings.md",3891,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fdemis-hassabis\u002F06-signature-framings.md",{"path":839,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":840,"sourceHtmlUrl":841},"research\u002Felon-musk\u002F01-wikipedia-biography.md",2830,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F01-wikipedia-biography.md",{"path":843,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":844,"sourceHtmlUrl":845},"research\u002Felon-musk\u002F02-xai-grok-roadmap.md",1862,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F02-xai-grok-roadmap.md",{"path":847,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":848,"sourceHtmlUrl":849},"research\u002Felon-musk\u002F03-colossus-supercomputer.md",2146,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F03-colossus-supercomputer.md",{"path":851,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":852,"sourceHtmlUrl":853},"research\u002Felon-musk\u002F04-tesla-cybercab-fsd-optimus.md",2988,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F04-tesla-cybercab-fsd-optimus.md",{"path":855,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":856,"sourceHtmlUrl":857},"research\u002Felon-musk\u002F05-musk-v-altman-lawsuit.md",3069,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F05-musk-v-altman-lawsuit.md",{"path":859,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":860,"sourceHtmlUrl":861},"research\u002Felon-musk\u002F06-grok-safety-incidents.md",2706,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F06-grok-safety-incidents.md",{"path":863,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":864,"sourceHtmlUrl":865},"research\u002Felon-musk\u002F07-first-principles-engineering-process.md",3149,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F07-first-principles-engineering-process.md",{"path":867,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":868,"sourceHtmlUrl":869},"research\u002Felon-musk\u002F08-doge-trump-political-arc.md",3049,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F08-doge-trump-political-arc.md",{"path":871,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":872,"sourceHtmlUrl":873},"research\u002Felon-musk\u002F09-xai-funding-and-valuation.md",3005,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Felon-musk\u002F09-xai-funding-and-valuation.md",{"path":875,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":876,"sourceHtmlUrl":877},"research\u002Ffei-fei-li\u002F01-biography-wikipedia.md",3807,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F01-biography-wikipedia.md",{"path":879,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":880,"sourceHtmlUrl":881},"research\u002Ffei-fei-li\u002F02-spatial-intelligence-manifesto.md",2147,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F02-spatial-intelligence-manifesto.md",{"path":883,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":884,"sourceHtmlUrl":885},"research\u002Ffei-fei-li\u002F03-world-labs-marble-and-funding.md",2445,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F03-world-labs-marble-and-funding.md",{"path":887,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":888,"sourceHtmlUrl":889},"research\u002Ffei-fei-li\u002F04-policy-and-governance-stances.md",3712,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F04-policy-and-governance-stances.md",{"path":891,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":892,"sourceHtmlUrl":893},"research\u002Ffei-fei-li\u002F05-canonical-works-and-the-worlds-i-see.md",3461,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F05-canonical-works-and-the-worlds-i-see.md",{"path":895,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":896,"sourceHtmlUrl":897},"research\u002Ffei-fei-li\u002F06-recent-signals-12mo.md",4120,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F06-recent-signals-12mo.md",{"path":899,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":900,"sourceHtmlUrl":901},"research\u002Ffei-fei-li\u002F07-voice-and-signature-framings.md",4819,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ffei-fei-li\u002F07-voice-and-signature-framings.md",{"path":903,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":904,"sourceHtmlUrl":905},"research\u002Fgeoffrey-hinton\u002F01-biographical-anchor.md",3386,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F01-biographical-anchor.md",{"path":907,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":908,"sourceHtmlUrl":909},"research\u002Fgeoffrey-hinton\u002F02-canonical-works.md",5208,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F02-canonical-works.md",{"path":911,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":912,"sourceHtmlUrl":913},"research\u002Fgeoffrey-hinton\u002F03-google-departure-may-2023.md",2759,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F03-google-departure-may-2023.md",{"path":915,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":916,"sourceHtmlUrl":917},"research\u002Fgeoffrey-hinton\u002F04-nobel-prize-2024.md",3925,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F04-nobel-prize-2024.md",{"path":919,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":920,"sourceHtmlUrl":921},"research\u002Fgeoffrey-hinton\u002F05-romanes-lecture-oxford-2024.md",3839,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F05-romanes-lecture-oxford-2024.md",{"path":923,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":924,"sourceHtmlUrl":925},"research\u002Fgeoffrey-hinton\u002F06-recent-signals-2025-2026.md",6525,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F06-recent-signals-2025-2026.md",{"path":927,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":928,"sourceHtmlUrl":929},"research\u002Fgeoffrey-hinton\u002F07-mental-models-and-stances.md",7036,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgeoffrey-hinton\u002F07-mental-models-and-stances.md",{"path":931,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":932,"sourceHtmlUrl":933},"research\u002Fgreg-brockman\u002F01-wikipedia-biography.md",1935,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F01-wikipedia-biography.md",{"path":935,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":936,"sourceHtmlUrl":937},"research\u002Fgreg-brockman\u002F02-fortune-builder-in-chief.md",2287,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F02-fortune-builder-in-chief.md",{"path":939,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":940,"sourceHtmlUrl":941},"research\u002Fgreg-brockman\u002F03-latent-space-codex.md",1845,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F03-latent-space-codex.md",{"path":943,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":944,"sourceHtmlUrl":945},"research\u002Fgreg-brockman\u002F04-stargate-amd-launch.md",1701,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F04-stargate-amd-launch.md",{"path":947,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":948,"sourceHtmlUrl":949},"research\u002Fgreg-brockman\u002F05-sequoia-80pct-code.md",1408,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F05-sequoia-80pct-code.md",{"path":951,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":952,"sourceHtmlUrl":953},"research\u002Fgreg-brockman\u002F06-product-control-reorg.md",1300,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F06-product-control-reorg.md",{"path":955,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":956,"sourceHtmlUrl":957},"research\u002Fgreg-brockman\u002F07-codex-cli-engineering.md",2093,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F07-codex-cli-engineering.md",{"path":959,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":960,"sourceHtmlUrl":961},"research\u002Fgreg-brockman\u002F08-sabbatical-return-philosophy.md",3383,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fgreg-brockman\u002F08-sabbatical-return-philosophy.md",{"path":963,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":964,"sourceHtmlUrl":965},"research\u002Fhelen-toner\u002F01-cset-biography-and-current-role.md",2668,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F01-cset-biography-and-current-role.md",{"path":967,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":968,"sourceHtmlUrl":969},"research\u002Fhelen-toner\u002F02-november-2023-openai-board-crisis.md",6026,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F02-november-2023-openai-board-crisis.md",{"path":971,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":972,"sourceHtmlUrl":973},"research\u002Fhelen-toner\u002F03-ted-talk-and-governance-framework.md",3260,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F03-ted-talk-and-governance-framework.md",{"path":975,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":976,"sourceHtmlUrl":977},"research\u002Fhelen-toner\u002F04-2025-2026-substack-and-essays.md",7114,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F04-2025-2026-substack-and-essays.md",{"path":979,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":980,"sourceHtmlUrl":981},"research\u002Fhelen-toner\u002F05-congressional-testimony-2025-2026.md",3395,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F05-congressional-testimony-2025-2026.md",{"path":983,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":984,"sourceHtmlUrl":985},"research\u002Fhelen-toner\u002F06-80000-hours-podcast-and-china-ai-strategy.md",3868,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F06-80000-hours-podcast-and-china-ai-strategy.md",{"path":987,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":988,"sourceHtmlUrl":989},"research\u002Fhelen-toner\u002F07-decoding-intentions-cset-report.md",3335,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhelen-toner\u002F07-decoding-intentions-cset-report.md",{"path":991,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":992,"sourceHtmlUrl":993},"research\u002Fhorace-he\u002F01-personal-site-and-bio.md",3567,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F01-personal-site-and-bio.md",{"path":995,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":996,"sourceHtmlUrl":997},"research\u002Fhorace-he\u002F02-brrr-from-first-principles.md",2994,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F02-brrr-from-first-principles.md",{"path":999,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1000,"sourceHtmlUrl":1001},"research\u002Fhorace-he\u002F03-thinking-machines-move.md",3013,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F03-thinking-machines-move.md",{"path":1003,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1004,"sourceHtmlUrl":1005},"research\u002Fhorace-he\u002F04-defeating-nondeterminism.md",3560,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F04-defeating-nondeterminism.md",{"path":1007,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1008,"sourceHtmlUrl":1009},"research\u002Fhorace-he\u002F05-torch-compile-and-flexattention.md",3574,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F05-torch-compile-and-flexattention.md",{"path":1011,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1012,"sourceHtmlUrl":1013},"research\u002Fhorace-he\u002F06-jane-street-talk-programming-models.md",2762,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F06-jane-street-talk-programming-models.md",{"path":1015,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1016,"sourceHtmlUrl":1017},"research\u002Fhorace-he\u002F07-recent-signals-post-2025-05-27.md",4725,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhorace-he\u002F07-recent-signals-post-2025-05-27.md",{"path":1019,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1020,"sourceHtmlUrl":1021},"research\u002Fhyung-won-chung\u002F01-identity-and-career.md",3502,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F01-identity-and-career.md",{"path":1023,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1024,"sourceHtmlUrl":1025},"research\u002Fhyung-won-chung\u002F02-canonical-works-and-papers.md",4264,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F02-canonical-works-and-papers.md",{"path":1027,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":916,"sourceHtmlUrl":1028},"research\u002Fhyung-won-chung\u002F03-recent-signals-12mo.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F03-recent-signals-12mo.md",{"path":1030,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1031,"sourceHtmlUrl":1032},"research\u002Fhyung-won-chung\u002F04-public-stances-and-mental-models.md",5570,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F04-public-stances-and-mental-models.md",{"path":1034,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1035,"sourceHtmlUrl":1036},"research\u002Fhyung-won-chung\u002F05-v2-panel-attribution.md",5809,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F05-v2-panel-attribution.md",{"path":1038,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1039,"sourceHtmlUrl":1040},"research\u002Fhyung-won-chung\u002F06-pairing-and-blind-spots.md",4431,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fhyung-won-chung\u002F06-pairing-and-blind-spots.md",{"path":1042,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1043,"sourceHtmlUrl":1044},"research\u002Filya-sutskever\u002F01-wikipedia-biography.md",3583,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F01-wikipedia-biography.md",{"path":1046,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1047,"sourceHtmlUrl":1048},"research\u002Filya-sutskever\u002F02-ssi-mission.md",1774,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F02-ssi-mission.md",{"path":1050,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1051,"sourceHtmlUrl":1052},"research\u002Filya-sutskever\u002F03-ssi-capital-raises.md",2239,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F03-ssi-capital-raises.md",{"path":1054,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1055,"sourceHtmlUrl":1056},"research\u002Filya-sutskever\u002F04-neurips-2024-talk.md",2924,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F04-neurips-2024-talk.md",{"path":1058,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1059,"sourceHtmlUrl":1060},"research\u002Filya-sutskever\u002F05-dwarkesh-2025-interview.md",3869,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F05-dwarkesh-2025-interview.md",{"path":1062,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1063,"sourceHtmlUrl":1064},"research\u002Filya-sutskever\u002F06-canonical-publications.md",4139,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F06-canonical-publications.md",{"path":1066,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1067,"sourceHtmlUrl":1068},"research\u002Filya-sutskever\u002F07-public-stances-synthesis.md",5568,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Filya-sutskever\u002F07-public-stances-synthesis.md",{"path":1070,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1071,"sourceHtmlUrl":1072},"research\u002Fjakub-pachocki\u002F01-wikipedia.md",1561,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F01-wikipedia.md",{"path":1074,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1075,"sourceHtmlUrl":1076},"research\u002Fjakub-pachocki\u002F02-mit-tech-review-2025-07-31.md",2393,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F02-mit-tech-review-2025-07-31.md",{"path":1078,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1079,"sourceHtmlUrl":1080},"research\u002Fjakub-pachocki\u002F03-nature-2025-05-12.md",1451,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F03-nature-2025-05-12.md",{"path":1082,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1083,"sourceHtmlUrl":1084},"research\u002Fjakub-pachocki\u002F04-mit-tech-review-2026-03-20.md",1894,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F04-mit-tech-review-2026-03-20.md",{"path":1086,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1087,"sourceHtmlUrl":1088},"research\u002Fjakub-pachocki\u002F05-x-tweets-2025-2026.md",3334,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F05-x-tweets-2025-2026.md",{"path":1090,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1091,"sourceHtmlUrl":1092},"research\u002Fjakub-pachocki\u002F06-sam-altman-blog.md",1160,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F06-sam-altman-blog.md",{"path":1094,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1095,"sourceHtmlUrl":1096},"research\u002Fjakub-pachocki\u002F07-time100-ai-2025-and-decoder.md",2088,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F07-time100-ai-2025-and-decoder.md",{"path":1098,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1099,"sourceHtmlUrl":1100},"research\u002Fjakub-pachocki\u002F08-recent-signals-cross-reference.md",3170,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjakub-pachocki\u002F08-recent-signals-cross-reference.md",{"path":1102,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1103,"sourceHtmlUrl":1104},"research\u002Fjan-leike\u002F01-biography-and-trajectory.md",3404,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F01-biography-and-trajectory.md",{"path":1106,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1107,"sourceHtmlUrl":1108},"research\u002Fjan-leike\u002F02-canonical-publications.md",4665,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F02-canonical-publications.md",{"path":1110,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1111,"sourceHtmlUrl":1112},"research\u002Fjan-leike\u002F03-resignation-thread-may-2024.md",4395,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F03-resignation-thread-may-2024.md",{"path":1114,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1115,"sourceHtmlUrl":1116},"research\u002Fjan-leike\u002F04-substack-and-recent-signals.md",5194,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F04-substack-and-recent-signals.md",{"path":1118,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1119,"sourceHtmlUrl":1120},"research\u002Fjan-leike\u002F05-signature-framings-and-voice.md",5642,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F05-signature-framings-and-voice.md",{"path":1122,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1123,"sourceHtmlUrl":1124},"research\u002Fjan-leike\u002F06-pairs-conflicts-blindspots.md",4537,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F06-pairs-conflicts-blindspots.md",{"path":1126,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":836,"sourceHtmlUrl":1127},"research\u002Fjan-leike\u002F07-when-to-summon-and-prompts.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjan-leike\u002F07-when-to-summon-and-prompts.md",{"path":1129,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1130,"sourceHtmlUrl":1131},"research\u002Fjared-kaplan\u002F01-biography-wikipedia.md",3112,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F01-biography-wikipedia.md",{"path":1133,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1134,"sourceHtmlUrl":1135},"research\u002Fjared-kaplan\u002F02-scaling-laws-paper.md",2919,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F02-scaling-laws-paper.md",{"path":1137,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1138,"sourceHtmlUrl":1139},"research\u002Fjared-kaplan\u002F03-anthropic-role-rsp.md",3352,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F03-anthropic-role-rsp.md",{"path":1141,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1142,"sourceHtmlUrl":1143},"research\u002Fjared-kaplan\u002F04-guardian-recursive-self-improvement-2025.md",2083,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F04-guardian-recursive-self-improvement-2025.md",{"path":1145,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1146,"sourceHtmlUrl":1147},"research\u002Fjared-kaplan\u002F05-yc-ai-startup-school-2025.md",3104,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F05-yc-ai-startup-school-2025.md",{"path":1149,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":804,"sourceHtmlUrl":1150},"research\u002Fjared-kaplan\u002F06-claude-4-asl3-coverage.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F06-claude-4-asl3-coverage.md",{"path":1152,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1153,"sourceHtmlUrl":1154},"research\u002Fjared-kaplan\u002F07-physics-background-and-narrative.md",3701,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjared-kaplan\u002F07-physics-background-and-narrative.md",{"path":1156,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1055,"sourceHtmlUrl":1157},"research\u002Fjason-wei\u002F01-bio-and-trajectory.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F01-bio-and-trajectory.md",{"path":1159,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1160,"sourceHtmlUrl":1161},"research\u002Fjason-wei\u002F02-canonical-papers.md",5865,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F02-canonical-papers.md",{"path":1163,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1164,"sourceHtmlUrl":1165},"research\u002Fjason-wei\u002F03-jasonwei-net-essays.md",3854,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F03-jasonwei-net-essays.md",{"path":1167,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1043,"sourceHtmlUrl":1168},"research\u002Fjason-wei\u002F04-talks-and-podcasts.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F04-talks-and-podcasts.md",{"path":1170,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1171,"sourceHtmlUrl":1172},"research\u002Fjason-wei\u002F05-recent-signals.md",4749,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F05-recent-signals.md",{"path":1174,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1175,"sourceHtmlUrl":1176},"research\u002Fjason-wei\u002F06-v2-panel-attribution.md",5397,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F06-v2-panel-attribution.md",{"path":1178,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1179,"sourceHtmlUrl":1180},"research\u002Fjason-wei\u002F07-synthesis.md",6210,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjason-wei\u002F07-synthesis.md",{"path":1182,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1183,"sourceHtmlUrl":1184},"research\u002Fjohn-jumper\u002F01-biography-wikipedia.md",4081,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F01-biography-wikipedia.md",{"path":1186,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1187,"sourceHtmlUrl":1188},"research\u002Fjohn-jumper\u002F02-nobel-prize-2024.md",3340,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F02-nobel-prize-2024.md",{"path":1190,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1191,"sourceHtmlUrl":1192},"research\u002Fjohn-jumper\u002F03-mit-tech-review-2025-interview.md",3188,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F03-mit-tech-review-2025-interview.md",{"path":1194,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1195,"sourceHtmlUrl":1196},"research\u002Fjohn-jumper\u002F04-yc-startup-school-2025.md",3486,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F04-yc-startup-school-2025.md",{"path":1198,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1199,"sourceHtmlUrl":1200},"research\u002Fjohn-jumper\u002F05-uchicago-bloch-lecture-2025.md",3714,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F05-uchicago-bloch-lecture-2025.md",{"path":1202,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1203,"sourceHtmlUrl":1204},"research\u002Fjohn-jumper\u002F06-isomorphic-labs-2026.md",3639,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F06-isomorphic-labs-2026.md",{"path":1206,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1207,"sourceHtmlUrl":1208},"research\u002Fjohn-jumper\u002F07-key-publications.md",4083,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-jumper\u002F07-key-publications.md",{"path":1210,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1211,"sourceHtmlUrl":1212},"research\u002Fjohn-schulman\u002F01-wikipedia-bio.md",2191,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F01-wikipedia-bio.md",{"path":1214,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1215,"sourceHtmlUrl":1216},"research\u002Fjohn-schulman\u002F02-ppo-and-trpo-papers.md",3233,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F02-ppo-and-trpo-papers.md",{"path":1218,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1219,"sourceHtmlUrl":1220},"research\u002Fjohn-schulman\u002F03-dwarkesh-podcast-may-2024.md",4232,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F03-dwarkesh-podcast-may-2024.md",{"path":1222,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1223,"sourceHtmlUrl":1224},"research\u002Fjohn-schulman\u002F04-anthropic-move-aug-2024.md",2811,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F04-anthropic-move-aug-2024.md",{"path":1226,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1043,"sourceHtmlUrl":1227},"research\u002Fjohn-schulman\u002F05-thinking-machines-move-feb-2025.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F05-thinking-machines-move-feb-2025.md",{"path":1229,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":748,"sourceHtmlUrl":1230},"research\u002Fjohn-schulman\u002F06-tinker-and-interaction-models.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F06-tinker-and-interaction-models.md",{"path":1232,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1233,"sourceHtmlUrl":1234},"research\u002Fjohn-schulman\u002F07-rlhf-berkeley-talk-2023.md",3444,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fjohn-schulman\u002F07-rlhf-berkeley-talk-2023.md",{"path":1236,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1237,"sourceHtmlUrl":1238},"research\u002Fkarina-nguyen\u002F01-bio-and-affiliations.md",5938,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F01-bio-and-affiliations.md",{"path":1240,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1241,"sourceHtmlUrl":1242},"research\u002Fkarina-nguyen\u002F02-canonical-works-and-publications.md",5893,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F02-canonical-works-and-publications.md",{"path":1244,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1245,"sourceHtmlUrl":1246},"research\u002Fkarina-nguyen\u002F03-talks-and-podcasts-2024-2026.md",5237,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F03-talks-and-podcasts-2024-2026.md",{"path":1248,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1249,"sourceHtmlUrl":1250},"research\u002Fkarina-nguyen\u002F04-stances-and-framings.md",6891,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F04-stances-and-framings.md",{"path":1252,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1253,"sourceHtmlUrl":1254},"research\u002Fkarina-nguyen\u002F05-voice-and-mental-models.md",5692,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F05-voice-and-mental-models.md",{"path":1256,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1257,"sourceHtmlUrl":1258},"research\u002Fkarina-nguyen\u002F06-relationships-and-pairings.md",5023,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F06-relationships-and-pairings.md",{"path":1260,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1261,"sourceHtmlUrl":1262},"research\u002Fkarina-nguyen\u002F07-when-to-summon-and-confidence-notes.md",5681,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fkarina-nguyen\u002F07-when-to-summon-and-confidence-notes.md",{"path":1264,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1265,"sourceHtmlUrl":1266},"research\u002Fliang-wenfeng\u002F01-wikipedia.md",5184,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F01-wikipedia.md",{"path":1268,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1269,"sourceHtmlUrl":1270},"research\u002Fliang-wenfeng\u002F02-thechinaacademy-interview.md",4009,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F02-thechinaacademy-interview.md",{"path":1272,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1273,"sourceHtmlUrl":1274},"research\u002Fliang-wenfeng\u002F03-time100-ai-2025.md",2074,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F03-time100-ai-2025.md",{"path":1276,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1277,"sourceHtmlUrl":1278},"research\u002Fliang-wenfeng\u002F04-deepseek-model-history.md",5014,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F04-deepseek-model-history.md",{"path":1280,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1281,"sourceHtmlUrl":1282},"research\u002Fliang-wenfeng\u002F05-li-qiang-and-xi-symposiums.md",3293,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F05-li-qiang-and-xi-symposiums.md",{"path":1284,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1285,"sourceHtmlUrl":1286},"research\u002Fliang-wenfeng\u002F06-reclusive-2026-status.md",2993,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F06-reclusive-2026-status.md",{"path":1288,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1289,"sourceHtmlUrl":1290},"research\u002Fliang-wenfeng\u002F07-high-flyer-funding-model.md",3998,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fliang-wenfeng\u002F07-high-flyer-funding-model.md",{"path":1292,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1293,"sourceHtmlUrl":1294},"research\u002Flilian-weng\u002F01-biography-and-trajectory.md",5867,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F01-biography-and-trajectory.md",{"path":1296,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1297,"sourceHtmlUrl":1298},"research\u002Flilian-weng\u002F02-blog-as-canonical-artifact.md",6036,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F02-blog-as-canonical-artifact.md",{"path":1300,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1301,"sourceHtmlUrl":1302},"research\u002Flilian-weng\u002F03-openai-departure-context.md",4876,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F03-openai-departure-context.md",{"path":1304,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1305,"sourceHtmlUrl":1306},"research\u002Flilian-weng\u002F04-thinking-machines-lab-role.md",4859,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F04-thinking-machines-lab-role.md",{"path":1308,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1309,"sourceHtmlUrl":1310},"research\u002Flilian-weng\u002F05-signature-framings-and-stances.md",6424,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F05-signature-framings-and-stances.md",{"path":1312,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1313,"sourceHtmlUrl":1314},"research\u002Flilian-weng\u002F06-pairs-conflicts-blindspots.md",6779,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F06-pairs-conflicts-blindspots.md",{"path":1316,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1317,"sourceHtmlUrl":1318},"research\u002Flilian-weng\u002F07-when-to-summon-and-sample-prompts.md",4326,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Flilian-weng\u002F07-when-to-summon-and-sample-prompts.md",{"path":1320,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1321,"sourceHtmlUrl":1322},"research\u002Fmira-murati\u002F01-biography-career-arc.md",5191,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F01-biography-career-arc.md",{"path":1324,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1325,"sourceHtmlUrl":1326},"research\u002Fmira-murati\u002F02-thinking-machines-lab.md",4016,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F02-thinking-machines-lab.md",{"path":1328,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1329,"sourceHtmlUrl":1330},"research\u002Fmira-murati\u002F03-tinker-product-philosophy.md",4447,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F03-tinker-product-philosophy.md",{"path":1332,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1333,"sourceHtmlUrl":1334},"research\u002Fmira-murati\u002F04-interaction-models-may-2026.md",4347,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F04-interaction-models-may-2026.md",{"path":1336,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1337,"sourceHtmlUrl":1338},"research\u002Fmira-murati\u002F05-public-stances-quotes.md",6071,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F05-public-stances-quotes.md",{"path":1340,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1341,"sourceHtmlUrl":1342},"research\u002Fmira-murati\u002F06-recent-signals-2025-2026.md",5340,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F06-recent-signals-2025-2026.md",{"path":1344,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1345,"sourceHtmlUrl":1346},"research\u002Fmira-murati\u002F07-synthesis-notes.md",5610,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fmira-murati\u002F07-synthesis-notes.md",{"path":1348,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1349,"sourceHtmlUrl":1350},"research\u002Fnathan-lambert\u002F01-bio-and-affiliations.md",2126,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F01-bio-and-affiliations.md",{"path":1352,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1353,"sourceHtmlUrl":1354},"research\u002Fnathan-lambert\u002F02-canonical-works.md",4029,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F02-canonical-works.md",{"path":1356,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1357,"sourceHtmlUrl":1358},"research\u002Fnathan-lambert\u002F03-recent-signals-2025-2026.md",5102,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F03-recent-signals-2025-2026.md",{"path":1360,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1361,"sourceHtmlUrl":1362},"research\u002Fnathan-lambert\u002F04-stances-and-framings.md",3753,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F04-stances-and-framings.md",{"path":1364,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1365,"sourceHtmlUrl":1366},"research\u002Fnathan-lambert\u002F05-mental-models-and-voice.md",4217,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F05-mental-models-and-voice.md",{"path":1368,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1369,"sourceHtmlUrl":1370},"research\u002Fnathan-lambert\u002F06-deepseek-r1-recipe-analysis.md",2183,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F06-deepseek-r1-recipe-analysis.md",{"path":1372,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1373,"sourceHtmlUrl":1374},"research\u002Fnathan-lambert\u002F07-relationships-and-pairings.md",2627,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnathan-lambert\u002F07-relationships-and-pairings.md",{"path":1376,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1377,"sourceHtmlUrl":1378},"research\u002Fneel-nanda\u002F01-bio-and-affiliations.md",2185,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F01-bio-and-affiliations.md",{"path":1380,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1381,"sourceHtmlUrl":1382},"research\u002Fneel-nanda\u002F02-canonical-works.md",4635,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F02-canonical-works.md",{"path":1384,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1385,"sourceHtmlUrl":1386},"research\u002Fneel-nanda\u002F03-80000-hours-podcast-part1.md",3159,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F03-80000-hours-podcast-part1.md",{"path":1388,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1389,"sourceHtmlUrl":1390},"research\u002Fneel-nanda\u002F04-80000-hours-podcast-part2.md",3866,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F04-80000-hours-podcast-part2.md",{"path":1392,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1393,"sourceHtmlUrl":1394},"research\u002Fneel-nanda\u002F05-transformerlens-and-tooling.md",2364,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F05-transformerlens-and-tooling.md",{"path":1396,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1397,"sourceHtmlUrl":1398},"research\u002Fneel-nanda\u002F06-recent-signals-2025-2026.md",4626,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F06-recent-signals-2025-2026.md",{"path":1400,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1401,"sourceHtmlUrl":1402},"research\u002Fneel-nanda\u002F07-signature-framings-and-stances.md",6261,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F07-signature-framings-and-stances.md",{"path":1404,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1405,"sourceHtmlUrl":1406},"research\u002Fneel-nanda\u002F08-pairings-conflicts-blindspots.md",4479,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fneel-nanda\u002F08-pairings-conflicts-blindspots.md",{"path":1408,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1409,"sourceHtmlUrl":1410},"research\u002Fnoam-brown\u002F01-identity-and-affiliation.md",3151,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F01-identity-and-affiliation.md",{"path":1412,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1413,"sourceHtmlUrl":1414},"research\u002Fnoam-brown\u002F02-canonical-works.md",9666,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F02-canonical-works.md",{"path":1416,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1417,"sourceHtmlUrl":1418},"research\u002Fnoam-brown\u002F03-recent-signals-12mo.md",9764,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F03-recent-signals-12mo.md",{"path":1420,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1421,"sourceHtmlUrl":1422},"research\u002Fnoam-brown\u002F04-public-stances-and-quotes.md",7377,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F04-public-stances-and-quotes.md",{"path":1424,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1425,"sourceHtmlUrl":1426},"research\u002Fnoam-brown\u002F05-mental-models-and-signature-moves.md",7987,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F05-mental-models-and-signature-moves.md",{"path":1428,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1429,"sourceHtmlUrl":1430},"research\u002Fnoam-brown\u002F06-relationships-and-conflict.md",8340,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F06-relationships-and-conflict.md",{"path":1432,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1433,"sourceHtmlUrl":1434},"research\u002Fnoam-brown\u002F07-blind-spots-and-voice.md",8805,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-brown\u002F07-blind-spots-and-voice.md",{"path":1436,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1437,"sourceHtmlUrl":1438},"research\u002Fnoam-shazeer\u002F01-wikipedia-bio.md",3296,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F01-wikipedia-bio.md",{"path":1440,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1441,"sourceHtmlUrl":1442},"research\u002Fnoam-shazeer\u002F02-attention-is-all-you-need.md",2783,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F02-attention-is-all-you-need.md",{"path":1444,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1445,"sourceHtmlUrl":1446},"research\u002Fnoam-shazeer\u002F03-mixture-of-experts-lineage.md",3855,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F03-mixture-of-experts-lineage.md",{"path":1448,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1449,"sourceHtmlUrl":1450},"research\u002Fnoam-shazeer\u002F04-character-ai-and-reverse-acquihire.md",3607,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F04-character-ai-and-reverse-acquihire.md",{"path":1452,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1453,"sourceHtmlUrl":1454},"research\u002Fnoam-shazeer\u002F05-setzer-lawsuit-and-safety-shadow.md",3183,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F05-setzer-lawsuit-and-safety-shadow.md",{"path":1456,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1457,"sourceHtmlUrl":1458},"research\u002Fnoam-shazeer\u002F06-dwarkesh-podcast-feb-2025.md",4071,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F06-dwarkesh-podcast-feb-2025.md",{"path":1460,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1461,"sourceHtmlUrl":1462},"research\u002Fnoam-shazeer\u002F07-hot-chips-2025-keynote.md",3475,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F07-hot-chips-2025-keynote.md",{"path":1464,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":980,"sourceHtmlUrl":1465},"research\u002Fnoam-shazeer\u002F08-recent-signals-cross-reference.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fnoam-shazeer\u002F08-recent-signals-cross-reference.md",{"path":1467,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1468,"sourceHtmlUrl":1469},"research\u002Fpatrick-lewis\u002F01-personal-site-bio.md",2767,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F01-personal-site-bio.md",{"path":1471,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1472,"sourceHtmlUrl":1473},"research\u002Fpatrick-lewis\u002F02-google-scholar.md",2645,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F02-google-scholar.md",{"path":1475,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1476,"sourceHtmlUrl":1477},"research\u002Fpatrick-lewis\u002F03-rag-paper-and-canon.md",4386,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F03-rag-paper-and-canon.md",{"path":1479,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1480,"sourceHtmlUrl":1481},"research\u002Fpatrick-lewis\u002F04-time-100-ai-2024.md",3257,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F04-time-100-ai-2024.md",{"path":1483,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1484,"sourceHtmlUrl":1485},"research\u002Fpatrick-lewis\u002F05-mlst-podcast-2024.md",4282,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F05-mlst-podcast-2024.md",{"path":1487,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1488,"sourceHtmlUrl":1489},"research\u002Fpatrick-lewis\u002F06-cohere-role-and-cmd-a.md",4997,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F06-cohere-role-and-cmd-a.md",{"path":1491,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1492,"sourceHtmlUrl":1493},"research\u002Fpatrick-lewis\u002F07-signature-stances-synthesis.md",5907,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpatrick-lewis\u002F07-signature-stances-synthesis.md",{"path":1495,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1496,"sourceHtmlUrl":1497},"research\u002Fpaul-christiano\u002F01-nist-official-bio.md",1841,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F01-nist-official-bio.md",{"path":1499,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1500,"sourceHtmlUrl":1501},"research\u002Fpaul-christiano\u002F02-wikipedia-bio.md",2917,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F02-wikipedia-bio.md",{"path":1503,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1504,"sourceHtmlUrl":1505},"research\u002Fpaul-christiano\u002F03-rlhf-2017-paper.md",2753,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F03-rlhf-2017-paper.md",{"path":1507,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1508,"sourceHtmlUrl":1509},"research\u002Fpaul-christiano\u002F04-doom-views-and-pdoom.md",2504,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F04-doom-views-and-pdoom.md",{"path":1511,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1512,"sourceHtmlUrl":1513},"research\u002Fpaul-christiano\u002F05-elk-and-arc.md",3644,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F05-elk-and-arc.md",{"path":1515,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1516,"sourceHtmlUrl":1517},"research\u002Fpaul-christiano\u002F06-dwarkesh-podcast-2023.md",3262,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F06-dwarkesh-podcast-2023.md",{"path":1519,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1520,"sourceHtmlUrl":1521},"research\u002Fpaul-christiano\u002F07-caisi-2026-mous-and-recent-signals.md",5712,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpaul-christiano\u002F07-caisi-2026-mous-and-recent-signals.md",{"path":1523,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1524,"sourceHtmlUrl":1525},"research\u002Fpercy-liang\u002F01-stanford-profile.md",2198,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F01-stanford-profile.md",{"path":1527,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":824,"sourceHtmlUrl":1528},"research\u002Fpercy-liang\u002F02-marin-announcement-may-2025.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F02-marin-announcement-may-2025.md",{"path":1530,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1531,"sourceHtmlUrl":1532},"research\u002Fpercy-liang\u002F03-foundation-model-transparency-index-2025.md",2098,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F03-foundation-model-transparency-index-2025.md",{"path":1534,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1535,"sourceHtmlUrl":1536},"research\u002Fpercy-liang\u002F04-helm-and-ahelm.md",2604,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F04-helm-and-ahelm.md",{"path":1538,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1539,"sourceHtmlUrl":1540},"research\u002Fpercy-liang\u002F05-together-ai-and-open-stance.md",3194,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F05-together-ai-and-open-stance.md",{"path":1542,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1543,"sourceHtmlUrl":1544},"research\u002Fpercy-liang\u002F06-dspy-and-canonical-works.md",3000,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F06-dspy-and-canonical-works.md",{"path":1546,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1547,"sourceHtmlUrl":1548},"research\u002Fpercy-liang\u002F07-recent-signals-12mo.md",3141,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpercy-liang\u002F07-recent-signals-12mo.md",{"path":1550,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1551,"sourceHtmlUrl":1552},"research\u002Fpieter-abbeel\u002F01-biography-wikipedia.md",3439,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F01-biography-wikipedia.md",{"path":1554,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":645,"sourceHtmlUrl":1555},"research\u002Fpieter-abbeel\u002F02-amazon-covariant-deal.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F02-amazon-covariant-deal.md",{"path":1557,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1558,"sourceHtmlUrl":1559},"research\u002Fpieter-abbeel\u002F03-canonical-works-and-publications.md",5345,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F03-canonical-works-and-publications.md",{"path":1561,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1562,"sourceHtmlUrl":1563},"research\u002Fpieter-abbeel\u002F04-public-stances-and-framings.md",5933,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F04-public-stances-and-framings.md",{"path":1565,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1566,"sourceHtmlUrl":1567},"research\u002Fpieter-abbeel\u002F05-recent-signals-2025-2026.md",5282,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F05-recent-signals-2025-2026.md",{"path":1569,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1570,"sourceHtmlUrl":1571},"research\u002Fpieter-abbeel\u002F06-lineage-and-relationships.md",4128,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F06-lineage-and-relationships.md",{"path":1573,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1574,"sourceHtmlUrl":1575},"research\u002Fpieter-abbeel\u002F07-blind-spots-and-when-not-to-summon.md",4413,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fpieter-abbeel\u002F07-blind-spots-and-when-not-to-summon.md",{"path":1577,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1578,"sourceHtmlUrl":1579},"research\u002Fprafulla-dhariwal\u002F01-biography-and-role.md",2725,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F01-biography-and-role.md",{"path":1581,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1582,"sourceHtmlUrl":1583},"research\u002Fprafulla-dhariwal\u002F02-canonical-papers.md",3319,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F02-canonical-papers.md",{"path":1585,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1586,"sourceHtmlUrl":1587},"research\u002Fprafulla-dhariwal\u002F03-olympiad-and-prodigy-history.md",2124,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F03-olympiad-and-prodigy-history.md",{"path":1589,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1590,"sourceHtmlUrl":1591},"research\u002Fprafulla-dhariwal\u002F04-recent-signals-2025-2026.md",3778,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F04-recent-signals-2025-2026.md",{"path":1593,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1594,"sourceHtmlUrl":1595},"research\u002Fprafulla-dhariwal\u002F05-stances-and-mental-models.md",6079,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F05-stances-and-mental-models.md",{"path":1597,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1598,"sourceHtmlUrl":1599},"research\u002Fprafulla-dhariwal\u002F06-pairs-conflicts-roster-fit.md",4915,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F06-pairs-conflicts-roster-fit.md",{"path":1601,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1602,"sourceHtmlUrl":1603},"research\u002Fprafulla-dhariwal\u002F07-sources.md",4559,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fprafulla-dhariwal\u002F07-sources.md",{"path":1605,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1606,"sourceHtmlUrl":1607},"research\u002Frobin-rombach\u002F01-identity-and-bio.md",3396,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F01-identity-and-bio.md",{"path":1609,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1610,"sourceHtmlUrl":1611},"research\u002Frobin-rombach\u002F02-canonical-works.md",5450,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F02-canonical-works.md",{"path":1613,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1614,"sourceHtmlUrl":1615},"research\u002Frobin-rombach\u002F03-recent-signals-12mo.md",6297,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F03-recent-signals-12mo.md",{"path":1617,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1618,"sourceHtmlUrl":1619},"research\u002Frobin-rombach\u002F04-public-stances.md",7041,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F04-public-stances.md",{"path":1621,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1622,"sourceHtmlUrl":1623},"research\u002Frobin-rombach\u002F05-partnerships-and-funding.md",4097,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F05-partnerships-and-funding.md",{"path":1625,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1626,"sourceHtmlUrl":1627},"research\u002Frobin-rombach\u002F06-mental-models-and-voice.md",4865,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F06-mental-models-and-voice.md",{"path":1629,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1630,"sourceHtmlUrl":1631},"research\u002Frobin-rombach\u002F07-blind-spots-and-conflicts.md",5828,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Frobin-rombach\u002F07-blind-spots-and-conflicts.md",{"path":1633,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1634,"sourceHtmlUrl":1635},"research\u002Fsam-altman\u002F01-wikipedia-biography.md",6637,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F01-wikipedia-biography.md",{"path":1637,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1638,"sourceHtmlUrl":1639},"research\u002Fsam-altman\u002F02-canonical-essays.md",9310,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F02-canonical-essays.md",{"path":1641,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1642,"sourceHtmlUrl":1643},"research\u002Fsam-altman\u002F03-stargate-and-capital-mobilization.md",3613,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F03-stargate-and-capital-mobilization.md",{"path":1645,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1646,"sourceHtmlUrl":1647},"research\u002Fsam-altman\u002F04-board-crisis-and-safety-critique.md",5837,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F04-board-crisis-and-safety-critique.md",{"path":1649,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1650,"sourceHtmlUrl":1651},"research\u002Fsam-altman\u002F05-senate-testimony-and-regulation.md",4663,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F05-senate-testimony-and-regulation.md",{"path":1653,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1654,"sourceHtmlUrl":1655},"research\u002Fsam-altman\u002F06-recent-signals-2025-2026.md",6382,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F06-recent-signals-2025-2026.md",{"path":1657,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1658,"sourceHtmlUrl":1659},"research\u002Fsam-altman\u002F07-signature-framings-and-mental-models.md",8245,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsam-altman\u002F07-signature-framings-and-mental-models.md",{"path":1661,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1662,"sourceHtmlUrl":1663},"research\u002Fsara-hooker\u002F01-biography-and-affiliation-trail.md",4357,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F01-biography-and-affiliation-trail.md",{"path":1665,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1666,"sourceHtmlUrl":1667},"research\u002Fsara-hooker\u002F02-the-hardware-lottery.md",3349,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F02-the-hardware-lottery.md",{"path":1669,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1670,"sourceHtmlUrl":1671},"research\u002Fsara-hooker\u002F03-compression-pruning-and-efficiency-research.md",3085,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F03-compression-pruning-and-efficiency-research.md",{"path":1673,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1674,"sourceHtmlUrl":1675},"research\u002Fsara-hooker\u002F04-aya-program-and-multilingual-work.md",4222,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F04-aya-program-and-multilingual-work.md",{"path":1677,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1678,"sourceHtmlUrl":1679},"research\u002Fsara-hooker\u002F05-adaption-labs-launch-and-thesis.md",6009,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F05-adaption-labs-launch-and-thesis.md",{"path":1681,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1682,"sourceHtmlUrl":1683},"research\u002Fsara-hooker\u002F06-compute-thresholds-and-policy-stance.md",2933,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F06-compute-thresholds-and-policy-stance.md",{"path":1685,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1686,"sourceHtmlUrl":1687},"research\u002Fsara-hooker\u002F07-voice-stances-and-public-comms.md",5212,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsara-hooker\u002F07-voice-stances-and-public-comms.md",{"path":1689,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1690,"sourceHtmlUrl":1691},"research\u002Fsasha-rush\u002F01-bio-and-career.md",3249,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F01-bio-and-career.md",{"path":1693,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1694,"sourceHtmlUrl":1695},"research\u002Fsasha-rush\u002F02-canonical-works-pedagogy.md",5299,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F02-canonical-works-pedagogy.md",{"path":1697,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1698,"sourceHtmlUrl":1699},"research\u002Fsasha-rush\u002F03-research-domains-and-publications.md",5357,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F03-research-domains-and-publications.md",{"path":1701,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1702,"sourceHtmlUrl":1703},"research\u002Fsasha-rush\u002F04-recent-signals-2025-2026.md",3930,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F04-recent-signals-2025-2026.md",{"path":1705,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1706,"sourceHtmlUrl":1707},"research\u002Fsasha-rush\u002F05-stances-and-signature-framings.md",5748,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F05-stances-and-signature-framings.md",{"path":1709,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1710,"sourceHtmlUrl":1711},"research\u002Fsasha-rush\u002F06-blind-spots-and-when-not-to-summon.md",4763,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F06-blind-spots-and-when-not-to-summon.md",{"path":1713,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1714,"sourceHtmlUrl":1715},"research\u002Fsasha-rush\u002F07-pairings-and-conflicts.md",3935,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsasha-rush\u002F07-pairings-and-conflicts.md",{"path":1717,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1718,"sourceHtmlUrl":1719},"research\u002Fsebastian-raschka\u002F01-biography-and-career.md",3900,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F01-biography-and-career.md",{"path":1721,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1207,"sourceHtmlUrl":1722},"research\u002Fsebastian-raschka\u002F02-ahead-of-ai-newsletter-posts.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F02-ahead-of-ai-newsletter-posts.md",{"path":1724,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1725,"sourceHtmlUrl":1726},"research\u002Fsebastian-raschka\u002F03-books-and-pedagogical-philosophy.md",3592,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F03-books-and-pedagogical-philosophy.md",{"path":1728,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1729,"sourceHtmlUrl":1730},"research\u002Fsebastian-raschka\u002F04-podcast-and-talk-appearances.md",3375,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F04-podcast-and-talk-appearances.md",{"path":1732,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1733,"sourceHtmlUrl":1734},"research\u002Fsebastian-raschka\u002F05-litgpt-and-lightning-ai.md",2398,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F05-litgpt-and-lightning-ai.md",{"path":1736,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1737,"sourceHtmlUrl":1738},"research\u002Fsebastian-raschka\u002F06-signature-stances-and-framings.md",5059,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F06-signature-stances-and-framings.md",{"path":1740,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1741,"sourceHtmlUrl":1742},"research\u002Fsebastian-raschka\u002F07-pairings-and-conflicts.md",4442,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsebastian-raschka\u002F07-pairings-and-conflicts.md",{"path":1744,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":713,"sourceHtmlUrl":1745},"research\u002Fsergey-levine\u002F01-wikipedia-bio.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F01-wikipedia-bio.md",{"path":1747,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1748,"sourceHtmlUrl":1749},"research\u002Fsergey-levine\u002F02-physical-intelligence-overview.md",4031,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F02-physical-intelligence-overview.md",{"path":1751,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1674,"sourceHtmlUrl":1752},"research\u002Fsergey-levine\u002F03-dwarkesh-podcast-sept-2025.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F03-dwarkesh-podcast-sept-2025.md",{"path":1754,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1755,"sourceHtmlUrl":1756},"research\u002Fsergey-levine\u002F04-sporks-of-agi-july-2025.md",4087,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F04-sporks-of-agi-july-2025.md",{"path":1758,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1759,"sourceHtmlUrl":1760},"research\u002Fsergey-levine\u002F05-platos-cave-june-2025.md",3987,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F05-platos-cave-june-2025.md",{"path":1762,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1763,"sourceHtmlUrl":1764},"research\u002Fsergey-levine\u002F06-pi0-pi05-papers.md",4196,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F06-pi0-pi05-papers.md",{"path":1766,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1767,"sourceHtmlUrl":1768},"research\u002Fsergey-levine\u002F07-canonical-papers-and-rl-course.md",5233,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F07-canonical-papers-and-rl-course.md",{"path":1770,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1771,"sourceHtmlUrl":1772},"research\u002Fsergey-levine\u002F08-recent-x-posts-and-signals.md",3975,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsergey-levine\u002F08-recent-x-posts-and-signals.md",{"path":1774,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1775,"sourceHtmlUrl":1776},"research\u002Fsteve-jobs\u002F01-biographical-anchor.md",6440,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F01-biographical-anchor.md",{"path":1778,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1779,"sourceHtmlUrl":1780},"research\u002Fsteve-jobs\u002F02-stanford-commencement-2005.md",7788,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F02-stanford-commencement-2005.md",{"path":1782,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1783,"sourceHtmlUrl":1784},"research\u002Fsteve-jobs\u002F03-design-and-product-philosophy.md",9107,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F03-design-and-product-philosophy.md",{"path":1786,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1787,"sourceHtmlUrl":1788},"research\u002Fsteve-jobs\u002F04-iphone-keynote-january-2007.md",5680,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F04-iphone-keynote-january-2007.md",{"path":1790,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1791,"sourceHtmlUrl":1792},"research\u002Fsteve-jobs\u002F05-isaacson-biography-themes.md",6251,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F05-isaacson-biography-themes.md",{"path":1794,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1795,"sourceHtmlUrl":1796},"research\u002Fsteve-jobs\u002F06-becoming-steve-jobs-and-the-archive.md",5560,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F06-becoming-steve-jobs-and-the-archive.md",{"path":1798,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1799,"sourceHtmlUrl":1800},"research\u002Fsteve-jobs\u002F07-quotes-canon.md",7162,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F07-quotes-canon.md",{"path":1802,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1803,"sourceHtmlUrl":1804},"research\u002Fsteve-jobs\u002F08-ai-team-relevance.md",6655,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fsteve-jobs\u002F08-ai-team-relevance.md",{"path":1806,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1807,"sourceHtmlUrl":1808},"research\u002Fstuart-russell\u002F01-wikipedia-bio.md",3889,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F01-wikipedia-bio.md",{"path":1810,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1811,"sourceHtmlUrl":1812},"research\u002Fstuart-russell\u002F02-human-compatible-book-and-three-principles.md",4683,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F02-human-compatible-book-and-three-principles.md",{"path":1814,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1815,"sourceHtmlUrl":1816},"research\u002Fstuart-russell\u002F03-iaseai-2025-paris.md",3462,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F03-iaseai-2025-paris.md",{"path":1818,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1819,"sourceHtmlUrl":1820},"research\u002Fstuart-russell\u002F04-autonomous-weapons-slaughterbots.md",4845,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F04-autonomous-weapons-slaughterbots.md",{"path":1822,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1823,"sourceHtmlUrl":1824},"research\u002Fstuart-russell\u002F05-summit-track-bletchley-seoul-paris.md",4462,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F05-summit-track-bletchley-seoul-paris.md",{"path":1826,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1827,"sourceHtmlUrl":1828},"research\u002Fstuart-russell\u002F06-recent-signals-2025-2026.md",6841,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F06-recent-signals-2025-2026.md",{"path":1830,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1831,"sourceHtmlUrl":1832},"research\u002Fstuart-russell\u002F07-voice-and-blind-spots.md",6903,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fstuart-russell\u002F07-voice-and-blind-spots.md",{"path":1834,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1835,"sourceHtmlUrl":1836},"research\u002Fthomas-wolf\u002F01-bio-and-background.md",3981,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F01-bio-and-background.md",{"path":1838,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1839,"sourceHtmlUrl":1840},"research\u002Fthomas-wolf\u002F02-einstein-essay-yes-men-on-servers.md",7070,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F02-einstein-essay-yes-men-on-servers.md",{"path":1842,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1843,"sourceHtmlUrl":1844},"research\u002Fthomas-wolf\u002F03-open-r1-and-deepseek-stance.md",4484,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F03-open-r1-and-deepseek-stance.md",{"path":1846,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1847,"sourceHtmlUrl":1848},"research\u002Fthomas-wolf\u002F04-smollm3-and-ultrascale-playbook.md",4996,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F04-smollm3-and-ultrascale-playbook.md",{"path":1850,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1851,"sourceHtmlUrl":1852},"research\u002Fthomas-wolf\u002F05-lerobot-and-physical-ai.md",5743,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F05-lerobot-and-physical-ai.md",{"path":1854,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1855,"sourceHtmlUrl":1856},"research\u002Fthomas-wolf\u002F06-evals-benchmarks-and-cost-per-token.md",4866,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F06-evals-benchmarks-and-cost-per-token.md",{"path":1858,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1859,"sourceHtmlUrl":1860},"research\u002Fthomas-wolf\u002F07-recent-signals-2025-2026.md",4796,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fthomas-wolf\u002F07-recent-signals-2025-2026.md",{"path":1862,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":752,"sourceHtmlUrl":1863},"research\u002Ftim-dettmers\u002F01-biography-and-affiliation-trail.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F01-biography-and-affiliation-trail.md",{"path":1865,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1866,"sourceHtmlUrl":1867},"research\u002Ftim-dettmers\u002F02-quantization-canon-bitsandbytes-qlora-llm-int8.md",6786,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F02-quantization-canon-bitsandbytes-qlora-llm-int8.md",{"path":1869,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1870,"sourceHtmlUrl":1871},"research\u002Ftim-dettmers\u002F03-interconnects-interview-2024-11.md",4266,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F03-interconnects-interview-2024-11.md",{"path":1873,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1874,"sourceHtmlUrl":1875},"research\u002Ftim-dettmers\u002F04-why-agi-will-not-happen-2025-12.md",3041,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F04-why-agi-will-not-happen-2025-12.md",{"path":1877,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1878,"sourceHtmlUrl":1879},"research\u002Ftim-dettmers\u002F05-sera-coding-agents-2026-01.md",3471,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F05-sera-coding-agents-2026-01.md",{"path":1881,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1882,"sourceHtmlUrl":1883},"research\u002Ftim-dettmers\u002F06-use-agents-or-be-left-behind-2026-01.md",3281,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F06-use-agents-or-be-left-behind-2026-01.md",{"path":1885,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1886,"sourceHtmlUrl":1887},"research\u002Ftim-dettmers\u002F07-gpu-buying-guide-and-accessibility-philosophy.md",2821,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftim-dettmers\u002F07-gpu-buying-guide-and-accessibility-philosophy.md",{"path":1889,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1890,"sourceHtmlUrl":1891},"research\u002Ftri-dao\u002F01-tridao-me-personal-site.md",4082,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F01-tridao-me-personal-site.md",{"path":1893,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1894,"sourceHtmlUrl":1895},"research\u002Ftri-dao\u002F02-flashattention-paper-neurips-2022.md",2577,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F02-flashattention-paper-neurips-2022.md",{"path":1897,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1898,"sourceHtmlUrl":1899},"research\u002Ftri-dao\u002F03-mamba-paper-2023.md",3224,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F03-mamba-paper-2023.md",{"path":1901,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1902,"sourceHtmlUrl":1903},"research\u002Ftri-dao\u002F04-flashattention-4-blog-march-2026.md",4348,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F04-flashattention-4-blog-march-2026.md",{"path":1905,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1906,"sourceHtmlUrl":1907},"research\u002Ftri-dao\u002F05-mamba-3-inference-first-april-2026.md",3888,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F05-mamba-3-inference-first-april-2026.md",{"path":1909,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1910,"sourceHtmlUrl":1911},"research\u002Ftri-dao\u002F06-together-ai-atlas-inference-2026.md",3412,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F06-together-ai-atlas-inference-2026.md",{"path":1913,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1914,"sourceHtmlUrl":1915},"research\u002Ftri-dao\u002F07-interconnects-podcast-dec-2023.md",3122,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F07-interconnects-podcast-dec-2023.md",{"path":1917,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1918,"sourceHtmlUrl":1919},"research\u002Ftri-dao\u002F08-v2-panel-attribution.md",6289,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Ftri-dao\u002F08-v2-panel-attribution.md",{"path":1921,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1922,"sourceHtmlUrl":1923},"research\u002Fwoosuk-kwon\u002F01-identity-bio.md",3014,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F01-identity-bio.md",{"path":1925,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1926,"sourceHtmlUrl":1927},"research\u002Fwoosuk-kwon\u002F02-paged-attention-vllm-paper.md",2640,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F02-paged-attention-vllm-paper.md",{"path":1929,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1930,"sourceHtmlUrl":1931},"research\u002Fwoosuk-kwon\u002F03-vllm-v1-architecture.md",2878,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F03-vllm-v1-architecture.md",{"path":1933,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1020,"sourceHtmlUrl":1934},"research\u002Fwoosuk-kwon\u002F04-inferact-startup.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F04-inferact-startup.md",{"path":1936,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1937,"sourceHtmlUrl":1938},"research\u002Fwoosuk-kwon\u002F05-quotes-and-public-stances.md",4493,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F05-quotes-and-public-stances.md",{"path":1940,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1941,"sourceHtmlUrl":1942},"research\u002Fwoosuk-kwon\u002F06-vllm-ecosystem-position.md",3687,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F06-vllm-ecosystem-position.md",{"path":1944,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1138,"sourceHtmlUrl":1945},"research\u002Fwoosuk-kwon\u002F07-recent-signals-12mo.md","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fwoosuk-kwon\u002F07-recent-signals-12mo.md",{"path":1947,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1948,"sourceHtmlUrl":1949},"research\u002Fyann-lecun\u002F01-biography-and-career.md",3266,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F01-biography-and-career.md",{"path":1951,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1952,"sourceHtmlUrl":1953},"research\u002Fyann-lecun\u002F02-canonical-works-cnn-jepa.md",3871,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F02-canonical-works-cnn-jepa.md",{"path":1955,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1956,"sourceHtmlUrl":1957},"research\u002Fyann-lecun\u002F03-meta-departure-ami-labs.md",3598,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F03-meta-departure-ami-labs.md",{"path":1959,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1960,"sourceHtmlUrl":1961},"research\u002Fyann-lecun\u002F04-public-stances-and-debates.md",5459,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F04-public-stances-and-debates.md",{"path":1963,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1964,"sourceHtmlUrl":1965},"research\u002Fyann-lecun\u002F05-v2-panel-attribution.md",4573,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F05-v2-panel-attribution.md",{"path":1967,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1968,"sourceHtmlUrl":1969},"research\u002Fyann-lecun\u002F06-recent-signals-2025-2026.md",4430,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F06-recent-signals-2025-2026.md",{"path":1971,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1972,"sourceHtmlUrl":1973},"research\u002Fyann-lecun\u002F07-voice-and-quotes.md",4681,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyann-lecun\u002F07-voice-and-quotes.md",{"path":1975,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1976,"sourceHtmlUrl":1977},"research\u002Fyejin-choi\u002F01-identity-and-affiliations.md",3661,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F01-identity-and-affiliations.md",{"path":1979,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1980,"sourceHtmlUrl":1981},"research\u002Fyejin-choi\u002F02-canonical-works.md",5376,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F02-canonical-works.md",{"path":1983,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1984,"sourceHtmlUrl":1985},"research\u002Fyejin-choi\u002F03-public-stances-and-framings.md",5654,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F03-public-stances-and-framings.md",{"path":1987,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1988,"sourceHtmlUrl":1989},"research\u002Fyejin-choi\u002F04-recent-signals-12mo.md",5435,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F04-recent-signals-12mo.md",{"path":1991,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1992,"sourceHtmlUrl":1993},"research\u002Fyejin-choi\u002F05-voice-and-register.md",4919,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F05-voice-and-register.md",{"path":1995,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":1996,"sourceHtmlUrl":1997},"research\u002Fyejin-choi\u002F06-blind-spots-and-conflicts.md",5275,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F06-blind-spots-and-conflicts.md",{"path":1999,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2000,"sourceHtmlUrl":2001},"research\u002Fyejin-choi\u002F07-summon-routing.md",4764,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyejin-choi\u002F07-summon-routing.md",{"path":2003,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2004,"sourceHtmlUrl":2005},"research\u002Fyoshua-bengio\u002F01-wikipedia-bio.md",4808,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F01-wikipedia-bio.md",{"path":2007,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2008,"sourceHtmlUrl":2009},"research\u002Fyoshua-bengio\u002F02-lawzero-launch-june-2025.md",4498,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F02-lawzero-launch-june-2025.md",{"path":2011,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2012,"sourceHtmlUrl":2013},"research\u002Fyoshua-bengio\u002F03-international-ai-safety-report.md",3114,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F03-international-ai-safety-report.md",{"path":2015,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2016,"sourceHtmlUrl":2017},"research\u002Fyoshua-bengio\u002F04-ted2025-catastrophic-risks.md",3095,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F04-ted2025-catastrophic-risks.md",{"path":2019,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2020,"sourceHtmlUrl":2021},"research\u002Fyoshua-bengio\u002F05-canonical-works-and-publications.md",4616,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F05-canonical-works-and-publications.md",{"path":2023,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2024,"sourceHtmlUrl":2025},"research\u002Fyoshua-bengio\u002F06-bengio-lecun-disagreement.md",4044,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F06-bengio-lecun-disagreement.md",{"path":2027,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2028,"sourceHtmlUrl":2029},"research\u002Fyoshua-bengio\u002F07-recent-signals-2025-2026.md",3913,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fresearch\u002Fyoshua-bengio\u002F07-recent-signals-2025-2026.md",{"path":2031,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2032,"sourceHtmlUrl":2033},"ROSTER.md",8223,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002FROSTER.md",{"path":2035,"resourceType":2036,"resourceTypeDesc":2037,"sizeBytes":2038,"sourceHtmlUrl":2039},"scripts\u002Fbuild_commands.py","SCRIPT","脚本",37274,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fscripts\u002Fbuild_commands.py",{"path":2041,"resourceType":2036,"resourceTypeDesc":2037,"sizeBytes":2042,"sourceHtmlUrl":2043},"scripts\u002Fbuild_registry.py",8264,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002Fscripts\u002Fbuild_registry.py",{"path":2045,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":2046,"sourceHtmlUrl":2047},"VALIDATION-OFFLINE.md",2451,"https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fai\u002FVALIDATION-OFFLINE.md",[2049,2068,2078,2094,2122,2141],{"skillNo":2050,"name":2051,"nameZh":6,"description":2052,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2053,"categories":2054,"keywords":2056,"publishedAt":55},"01M71KEJXF9KMT0BWCMRSRFA4M","trading-super-intelligence","Trading Super Intelligence Team. Named real-world personas across 8 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Ftrading\u002FSKILL.md",[2055],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[36,2057,37,2058,2059,41,2060,2061,2062,51,49,2063,2064,2065,47,2066,2067],"trading super intelligence","trading","validator","local","composites","studio","world","first","gated","lm studio","local-first",{"skillNo":2069,"name":2070,"nameZh":6,"description":2071,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2072,"categories":2073,"keywords":2075,"publishedAt":55},"01M71KEFWS3CMAP7DF1P0FWTDE","strategy-super-intelligence","Strategy Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fstrategy\u002FSKILL.md",[2074],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[2076,36,2077,37,2059,41,2060,2061,2062,51,49,2063,2064,2065,47,2066,2067],"strategy","strategy super intelligence",{"skillNo":2079,"name":2080,"nameZh":6,"description":2081,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2082,"categories":2083,"keywords":2088,"publishedAt":55},"01M71KED56ZEPK2QE84QSQPMT0","risk-compliance-super-intelligence","Risk & Compliance (GRC) Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Frisk-compliance\u002FSKILL.md",[2084,2085],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":2086,"categoryName":2087,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000037","律师与法务",[2089,36,2090,2091,2092,37,2059,41,2060,2061,2093,2062,51,49,2063,2064,2065,47,2066,2067],"risk","risk compliance super intelligence","compliance","risk compliance","grc",{"skillNo":2095,"name":2096,"nameZh":6,"description":2097,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2098,"categories":2099,"keywords":2109,"publishedAt":55},"01M71KE9A2FWSC74VA96W1EZSN","product-design-super-intelligence","Your product + design brain trust and decision partner. Named personas across 8 cells spanning product strategy, discovery\u002Fresearch, growth\u002Fmetrics, design foundations\u002Fusability, design leadership\u002Fcraft, UX\u002Fcontent, design systems, and a…","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fproduct-design\u002FSKILL.md",[2100,2103,2104,2105,2106],{"categoryNo":2101,"categoryName":2102,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":32,"categoryName":33,"taxonomyType":29,"taxonomyTypeDesc":30},{"categoryNo":2107,"categoryName":2108,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000032","设计师",[2110,48,37,2111,36,2112,2113,2114,2115,2116,2117,51,49,2118,2119,47,46,2120,2121,42],"design","product design","product design super intelligence","foundations","product-design","decision","design systems","usability","leadership","ux","craft","metrics",{"skillNo":2123,"name":2124,"nameZh":6,"description":2125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2126,"categories":2127,"keywords":2130,"publishedAt":55},"01M71KE6H9FPSD9TECYFBPXZ8Y","legal-ip-super-intelligence","Your legal, IP, and regulatory brain trust. 31 named personas across 7 cells covering patent strategy, tech licensing, regulatory litigation, AI governance, open-source compliance, privacy law, and antitrust.","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Flegal-ip\u002FSKILL.md",[2128,2129],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":2086,"categoryName":2087,"taxonomyType":29,"taxonomyTypeDesc":30},[2131,36,2132,37,2133,2134,42,2135,41,2136,2137,2138,2076,51,49,2139,2091,2140,47,46],"ip","legal ip super intelligence","legal","sep","tech","litigation","ai governance","open","open-source","governance",{"skillNo":2142,"name":2143,"nameZh":6,"description":2144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":2145,"categories":2146,"keywords":2148,"publishedAt":55},"01M71KE36QRY610V6YVB9JWRND","healthcare-life-sciences-super-intelligence","Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.","https:\u002F\u002Fgithub.com\u002Fcoco-research\u002Fcoco\u002Fblob\u002Fmain\u002Fsystems\u002Fsuperintelligence\u002Fhealthcare-life-sciences\u002FSKILL.md",[2147],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[2149,36,2150,2151,37,2134,42,2152,2153,41,2154,2155,2076,51,49,2156,2157,2158,2159,47],"healthcare","healthcare life sciences super intelligence","life","economics","discovery","policy","clinical","clinical trials","health","trials","genomics"]