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Google DeepMind

deepmindorganizationPath: /knowledge-base/organizations/deepmind/
E98Entity ID (EID)
← Back to page142 backlinksQuality: 37Updated: 2026-05-10
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "summary": "Comprehensive overview of DeepMind's history, achievements (AlphaGo, AlphaFold with 200M+ protein structures), and 2023 merger with Google Brain. Documents racing dynamics with OpenAI and new Frontier Safety Framework with 5-tier capability thresholds, but provides limited actionable guidance for prioritization decisions.",
  "description": "Google's merged AI research lab behind AlphaGo, AlphaFold, and Gemini, formed from combining DeepMind and Google Brain in 2023 to compete with OpenAI",
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External Links
{
  "wikipedia": "https://en.wikipedia.org/wiki/DeepMind",
  "wikidata": "https://www.wikidata.org/wiki/Q15733006"
}
Backlinks (142)
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geminiGeminiai-modelcreated-by
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gemini-1-5-proGemini 1.5 Proai-modelcreated-by
gemini-1-5-flashGemini 1.5 Flashai-modelcreated-by
gemini-2-0-flashGemini 2.0 Flashai-modelcreated-by
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gemini-2-5-flashGemini 2.5 Flashai-modelcreated-by
scientific-researchScientific Research Capabilitiescapability—
corporate-influenceCorporate Influence on AI Policycrux—
deep-learning-eraDeep Learning Revolution Erahistorical—
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anthropicAnthropicorganization—
govaiGovAIorganization—
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ssiSafe Superintelligence Inc. (SSI)organization—
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goodfireGoodfireorganization—
partnership-on-aiPartnership on AIorganization—
geoffrey-hintonGeoffrey Hintonperson—
rlhfRLHFresearch-arearesearch
interpretabilityInterpretabilityresearch-arearesearch
value-learningValue Learningresearch-arearesearch
safety-casesAI Safety Casesapproach—
california-sb53California SB 53policy—
rspResponsible Scaling Policiesapproach—
language-modelsLarge Language Modelscapability—
long-horizonLong-Horizon Autonomous Taskscapability—
accident-risksAI Accident Risk Cruxescrux—
solutionsAI Safety Solution Cruxescrux—
interpretability-sufficientIs Interpretability Sufficient for Safety?crux—
is-ai-xrisk-realIs AI Existential Risk Real?crux—
pause-debateShould We Pause AI Development?crux—
scaling-debateIs Scaling All You Need?crux—
why-alignment-hardWhy Alignment Might Be Hardargument—
agi-developmentAGI Developmentconcept—
agi-timelineAGI Timelineconcept—
miri-eraThe MIRI Era (2000-2015)historical—
claude-code-espionage-2025Claude Code Espionage Incident (2025)concept—
ai-actor-feedback-loopsAI Actor Feedback Loopsanalysis—
ai-power-and-influence-mapAI Power and Influence Mapanalysis—
ai-revolving-door-analysisAI Revolving Door Analysisanalysis—
ai-talent-market-dynamicsAI Talent Market Dynamicsanalysis—
ai-timelinesAI Timelinesconcept—
bioweapons-ai-upliftAI Uplift Assessment Modelanalysis—
capabilities-to-safety-pipelineCapabilities-to-Safety Pipeline Modelanalysis—
capability-alignment-raceCapability-Alignment Race Modelanalysis—
frontier-lab-cost-structureFrontier Lab Cost Structureanalysis—
goal-misgeneralization-probabilityGoal Misgeneralization Probability Modelanalysis—
intervention-effectiveness-matrixIntervention Effectiveness Matrixanalysis—
intervention-timing-windowsIntervention Timing Windowsanalysis—
multi-actor-landscapeMulti-Actor Strategic Landscapeanalysis—
pre-tai-capital-deploymentPre-TAI Capital Deployment: $100B-$300B+ Spending Analysisanalysis—
projecting-compute-spendingProjecting Compute Spendinganalysis—
regulatory-capture-risks-in-aiRegulatory Capture Risks in AIanalysis—
risk-interaction-matrixRisk Interaction Matrix Modelanalysis—
safety-research-allocationSafety Research Allocation Modelanalysis—
safety-researcher-gapAI Safety Talent Supply/Demand Gap Modelanalysis—
safety-spending-at-scaleSafety Spending at Scaleanalysis—
scaling-lawsAI Scaling Lawsconcept—
ai-impactsAI Impactsorganization—
ai-revenue-sourcesAI Revenue Sourcesorganization—
alphabet-google-ai-governance-structureAlphabet Google AI Governance Structureorganization—
apollo-researchApollo Researchorganization—
caisCenter for AI Safety (CAIS)organization—
ea-globalEA Globalorganization—
epoch-aiEpoch AIorganization—
founders-fundFounders Fundorganization—
frontier-ai-comparisonFrontier AI Company Comparison (2026)concept—
__index__/knowledge-base/organizationsOrganizationsconcept—
kalshiKalshi (Prediction Market)organization—
labs-overviewFrontier AI Labs (Overview)concept—
lesswrongLessWrongorganization—
matsMATS ML Alignment Theory Scholars programorganization—
meta-aiMeta AI (FAIR)organization—
meta-open-source-strategy-policy-impactMeta Open-Source Strategy Policy Impactorganization—
metrMETRorganization—
microsoftMicrosoft AIorganization—
openai-foundationOpenAI Foundationorganization—
openaiOpenAIorganization—
pause-aiPause AIorganization—
redwood-researchRedwood Researchorganization—
safety-orgs-overviewAI Safety Organizations (Overview)concept—
shareholder-and-board-influence-in-ai-labsShareholder and Board Influence in AI Labsorganization—
swift-centreSwift Centreorganization—
uk-ai-governance-actorsUK AI Governance Actorsorganization—
xai-and-musk-political-influencexAI and Musk Political Influenceorganization—
xaixAIorganization—
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chris-olahChris Olahperson—
connor-leahyConnor Leahyperson—
dan-hendrycksDan Hendrycksperson—
david-dalrympleDavid Dalrympleperson—
david-silverDavid Silverperson—
demis-hassabisDemis Hassabisperson—
eliezer-yudkowskyEliezer Yudkowskyperson—
elon-muskElon Muskperson—
ilya-sutskeverIlya Sutskeverperson—
jaan-tallinnJaan Tallinnperson—
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max-tegmarkMax Tegmarkperson—
mustafa-suleymanMustafa Suleymanperson—
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nick-bostromNick Bostromperson—
paul-christianoPaul Christianoperson—
pushmeet-kohliPushmeet Kohliperson—
richard-ngoRichard Ngoperson—
rohin-shahRohin Shahperson—
sam-altmanSam Altmanperson—
shane-leggShane Leggperson—
victoria-krakovnaVictoria Krakovnaperson—
ai-controlAI Controlresearch-area—
alignment-evalsAlignment Evaluationsapproach—
alignmentAI Alignmentapproach—
bletchley-declarationBletchley Declarationpolicy—
california-sb1047California SB 1047policy—
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cooperative-aiCooperative AIapproach—
coordination-techAI Governance Coordination Technologiesapproach—
corporateCorporate AI Safety Responsesapproach—
dangerous-cap-evalsDangerous Capability Evaluationsapproach—
evalsEvals & Red-teamingresearch-area—
governance-overviewAI Governance & Policy (Overview)concept—
governance-policyAI Governance and Policycrux—
international-summitsInternational AI Safety Summitsevent—
lab-cultureAI Lab Safety Cultureapproach—
maimMAIM (Mutually Assured AI Malfunction)approach—
mech-interpMechanistic Interpretabilityresearch-area—
model-specAI Model Specificationsapproach—
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scalable-eval-approachesScalable Eval Approachesapproach—
seoul-declarationSeoul AI Safety Summit Declarationpolicy—
sparse-autoencodersSparse Autoencoders (SAEs)approach—
stampy-aisafety-infoStampy / AISafety.infoproject—
training-programsAI Safety Training Programsapproach—
voluntary-ai-commitments-enforcementVoluntary AI Commitments Enforcementapproach—
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existential-riskExistential Risk from AIconcept—
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