Google DeepMind
deepmindorganizationPath: /knowledge-base/organizations/deepmind/
E98Entity ID (EID)
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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| id | title | type | relationship |
|---|---|---|---|
| gemini | Gemini | ai-model | created-by |
| gemini-1-0-ultra | Gemini 1.0 Ultra | ai-model | created-by |
| gemini-1-5-pro | Gemini 1.5 Pro | ai-model | created-by |
| gemini-1-5-flash | Gemini 1.5 Flash | ai-model | created-by |
| gemini-2-0-flash | Gemini 2.0 Flash | ai-model | created-by |
| gemini-2-5-pro | Gemini 2.5 Pro | ai-model | created-by |
| gemini-2-5-flash | Gemini 2.5 Flash | ai-model | created-by |
| scientific-research | Scientific Research Capabilities | capability | — |
| corporate-influence | Corporate Influence on AI Policy | crux | — |
| deep-learning-era | Deep Learning Revolution Era | historical | — |
| anthropic-impact | Anthropic Impact Assessment Model | analysis | — |
| anthropic | Anthropic | organization | — |
| govai | GovAI | organization | — |
| uk-aisi | UK AI Safety Institute | organization | — |
| ssi | Safe Superintelligence Inc (SSI) | organization | — |
| frontier-model-forum | Frontier Model Forum | organization | — |
| goodfire | Goodfire | organization | — |
| geoffrey-hinton | Geoffrey Hinton | person | — |
| neel-nanda | Neel Nanda | person | — |
| scalable-oversight | Scalable Oversight | safety-agenda | — |
| safety-cases | AI Safety Cases | approach | — |
| rsp | Responsible Scaling Policies | policy | — |
| language-models | Large Language Models | capability | — |
| long-horizon | Long-Horizon Autonomous Tasks | capability | — |
| solutions | AI Safety Solution Cruxes | crux | — |
| interpretability-sufficient | Is Interpretability Sufficient for Safety? | crux | — |
| pause-debate | Should We Pause AI Development? | crux | — |
| scaling-debate | Is Scaling All You Need? | crux | — |
| why-alignment-hard | Why Alignment Might Be Hard | argument | — |
| agi-development | AGI Development | concept | — |
| agi-timeline | AGI Timeline | concept | — |
| miri-era | The MIRI Era (2000-2015) | historical | — |
| claude-code-espionage-2025 | Claude Code Espionage Incident (2025) | concept | — |
| ai-talent-market-dynamics | AI Talent Market Dynamics | analysis | — |
| ai-timelines | AI Timelines | concept | — |
| capabilities-to-safety-pipeline | Capabilities-to-Safety Pipeline Model | analysis | — |
| capability-alignment-race | Capability-Alignment Race Model | analysis | — |
| frontier-lab-cost-structure | Frontier Lab Cost Structure | analysis | — |
| goal-misgeneralization-probability | Goal Misgeneralization Probability Model | analysis | — |
| intervention-effectiveness-matrix | Intervention Effectiveness Matrix | analysis | — |
| intervention-timing-windows | Intervention Timing Windows | analysis | — |
| pre-tai-capital-deployment | Pre-TAI Capital Deployment: $100B-$300B+ Spending Analysis | analysis | — |
| projecting-compute-spending | Projecting Compute Spending | analysis | — |
| risk-interaction-matrix | Risk Interaction Matrix Model | analysis | — |
| safety-research-allocation | Safety Research Allocation Model | analysis | — |
| safety-researcher-gap | AI Safety Talent Supply/Demand Gap Model | analysis | — |
| safety-spending-at-scale | Safety Spending at Scale | analysis | — |
| scaling-laws | AI Scaling Laws | concept | — |
| ai-impacts | AI Impacts | organization | — |
| ai-revenue-sources | AI Revenue Sources | organization | — |
| apollo-research | Apollo Research | organization | — |
| cais | CAIS (Center for AI Safety) | organization | — |
| ea-global | EA Global | organization | — |
| epoch-ai | Epoch AI | organization | — |
| founders-fund | Founders Fund | organization | — |
| frontier-ai-comparison | Frontier AI Company Comparison (2026) | concept | — |
| __index__/knowledge-base/organizations | Organizations | concept | — |
| kalshi | Kalshi (Prediction Market) | organization | — |
| labs-overview | Frontier AI Labs (Overview) | concept | — |
| lesswrong | LessWrong | organization | — |
| mats | MATS ML Alignment Theory Scholars program | organization | — |
| meta-ai | Meta AI (FAIR) | organization | — |
| metr | METR | organization | — |
| microsoft | Microsoft AI | organization | — |
| openai-foundation | OpenAI Foundation | organization | — |
| openai | OpenAI | organization | — |
| pause-ai | Pause AI | organization | — |
| redwood-research | Redwood Research | organization | — |
| safety-orgs-overview | AI Safety Organizations (Overview) | concept | — |
| swift-centre | Swift Centre | organization | — |
| xai | xAI | organization | — |
| chris-olah | Chris Olah | person | — |
| connor-leahy | Connor Leahy | person | — |
| dan-hendrycks | Dan Hendrycks | person | — |
| demis-hassabis | Demis Hassabis | person | — |
| eliezer-yudkowsky | Eliezer Yudkowsky | person | — |
| elon-musk | Elon Musk (AI Industry) | person | — |
| ilya-sutskever | Ilya Sutskever | person | — |
| jaan-tallinn | Jaan Tallinn | person | — |
| jan-leike | Jan Leike | person | — |
| max-tegmark | Max Tegmark | person | — |
| nick-bostrom | Nick Bostrom | person | — |
| paul-christiano | Paul Christiano | person | — |
| sam-altman | Sam Altman | person | — |
| ai-control | AI Control | safety-agenda | — |
| alignment-evals | Alignment Evaluations | approach | — |
| alignment | AI Alignment | approach | — |
| bletchley-declaration | Bletchley Declaration | policy | — |
| california-sb1047 | California SB 1047 | policy | — |
| california-sb53 | California SB 53 | policy | — |
| constitutional-ai | Constitutional AI | approach | — |
| cooperative-ai | Cooperative AI | approach | — |
| coordination-tech | AI Governance Coordination Technologies | approach | — |
| corporate | Corporate AI Safety Responses | approach | — |
| dangerous-cap-evals | Dangerous Capability Evaluations | approach | — |
| evals | Evals & Red-teaming | safety-agenda | — |
| governance-policy | AI Governance and Policy | crux | — |
| international-summits | International AI Safety Summits | policy | — |
| lab-culture | AI Lab Safety Culture | approach | — |
| mech-interp | Mechanistic Interpretability | approach | — |
| model-spec | AI Model Specifications | policy | — |
| monitoring | Compute Monitoring | policy | — |
| red-teaming | Red Teaming | approach | — |
| responsible-scaling-policies | Responsible Scaling Policies | policy | — |
| scalable-eval-approaches | Scalable Eval Approaches | approach | — |
| seoul-declaration | Seoul AI Safety Summit Declaration | policy | — |
| sparse-autoencoders | Sparse Autoencoders (SAEs) | approach | — |
| training-programs | AI Safety Training Programs | approach | — |
| whistleblower-protections | AI Whistleblower Protections | policy | — |
| concentrated-compute-cybersecurity-risk | Concentrated Compute as a Cybersecurity Risk | risk | — |
| existential-risk | Existential Risk from AI | concept | — |
| winner-take-all | AI Winner-Take-All Dynamics | risk | — |