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OpenAI

openaiorganizationPath: /knowledge-base/organizations/openai/
E218Entity ID (EID)
← Back to page279 backlinksQuality: 62Updated: 2026-09-26
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "title": "OpenAI",
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  "dateCreated": "2026-02-15",
  "summary": "Comprehensive organizational profile of OpenAI documenting evolution from 2015 non-profit to Public Benefit Corporation, with detailed analysis of governance crisis, 2024-2025 ownership restructuring (conversion from capped-profit LLC to PBC, completed October 2025), key leadership departures, and capability advancement (o1/o3 reasoning models). Updated with 2025 developments including o3-mini release, 800M weekly active users, Altman's AGI timeline statements, enterprise market share decline from 50% to 25% between 2023 and 2025, and joint safety evaluation with Anthropic in summer 2025.",
  "description": "Leading AI lab that developed GPT models and ChatGPT, analyzing organizational evolution from non-profit research to commercial AGI development amid safety-commercialization tensions",
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      "text": "OpenAI GPT-4 System Card",
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      "resourceTitle": "GPT-4 System Card"
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    {
      "text": "OpenAI Preparedness",
      "url": "https://cdn.openai.com/openai-preparedness-framework-beta.pdf",
      "resourceId": "45f5df091824b27c",
      "resourceTitle": "Preparedness Framework (Beta) | OpenAI"
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    {
      "text": "OpenAI Deliberative Alignment",
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      "resourceTitle": "Deliberative alignment: reasoning enables safer language models"
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      "text": "Global Affairs Initiative",
      "url": "https://openai.com/global-affairs/openai-for-countries/",
      "resourceId": "238f28c96d8780f6",
      "resourceTitle": "Introducing OpenAI for Countries"
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    {
      "text": "Sora 2 Launch",
      "url": "https://openai.com/index/sora-2/",
      "resourceId": "edc1663b7d3b8ac2",
      "resourceTitle": "Sora 2: OpenAI's Flagship Video and Audio Generation Model"
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    {
      "text": "TIME Magazine Interview",
      "url": "https://time.com/7205596/sam-altman-superintelligence-agi/",
      "resourceId": "358ab98ce38cdd9c",
      "resourceTitle": "How OpenAI's Sam Altman Is Thinking About AGI and Superintelligence in 2025"
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    {
      "text": "OpenAI Announcement",
      "url": "https://openai.com/index/softbank-openai-joint-announcement/",
      "resourceId": "kb-b4d3ddb177146075"
    },
    {
      "text": "OpenAI and SoftBank Joint Announcement",
      "url": "https://openai.com/index/softbank-openai-joint-announcement/",
      "resourceId": "kb-b4d3ddb177146075"
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    {
      "text": "arXiv:2005.14165",
      "url": "https://arxiv.org/abs/2005.14165",
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      "resourceTitle": "Brown et al. (2020)"
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    {
      "text": "arXiv:2203.02155",
      "url": "https://arxiv.org/abs/2203.02155",
      "resourceId": "1098fc60be7ca2b0",
      "resourceTitle": "Training Language Models to Follow Instructions with Human Feedback"
    },
    {
      "text": "arXiv:2312.09390",
      "url": "https://arxiv.org/abs/2312.09390",
      "resourceId": "0ba98ae3a8a72270",
      "resourceTitle": "[2312.09390] Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision"
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    {
      "text": "arXiv:2303.08774",
      "url": "https://arxiv.org/abs/2303.08774",
      "resourceId": "29a0882390ee7063",
      "resourceTitle": "OpenAI's GPT-4"
    },
    {
      "text": "ChatGPT reaches 900M weekly active users",
      "url": "https://techcrunch.com/2026/02/27/chatgpt-reaches-900m-weekly-active-users",
      "resourceId": "909b97026dfd0d43",
      "resourceTitle": "ChatGPT reaches 900M weekly active users | TechCrunch"
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    {
      "text": "The next phase of the Microsoft-OpenAI partnership",
      "url": "https://blogs.microsoft.com/blog/2026/04/27/the-next-phase-of-the-microsoft-openai-partnership/",
      "resourceId": "a6979ba42ae0c269",
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      {
        "id": "anthropic",
        "title": "Anthropic",
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        "title": "Anthropic IPO",
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        "title": "Microsoft AI",
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  "changeHistory": [
    {
      "date": "2026-02-26",
      "branch": "claude/claims-driven-improvements",
      "title": "Auto-improve (standard): OpenAI",
      "summary": "Improved \"OpenAI\" via standard pipeline (403.2s). Quality score: 74. Issues resolved: Footnote [^4] is missing — footnotes skip from [^3] to [^5],; Footnote [^24], [^25], [^26] are missing — footnotes skip fr; Footnotes [^40] and [^41] cite sources (LessWrong OpenAI los.",
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      "date": "2026-02-19",
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      "title": "Add concrete shareable data tables to high-value pages",
      "summary": "Added three concrete, screenshot-worthy data tables to high-value wiki pages: (1) OpenAI ownership/stakeholder table to openai.mdx showing the 2024-2025 PBC restructuring with Foundation ~26%, Microsoft transitioning from 49% profit share to ~2.5% equity, and Sam Altman's proposed 7% grant; (2) Budget and headcount comparison table to safety-orgs-overview.mdx covering MIRI, ARC, METR, Redwood Research, CAIS, Apollo Research, GovAI, Conjecture, and FAR AI with annual budgets, headcounts, and cost-per-researcher; (3) Per-company compensation comparison table to ai-talent-market-dynamics.mdx comparing Anthropic, OpenAI, Google DeepMind, xAI, Meta AI, and Microsoft Research by total comp range, base salary, equity type, and benefits including Anthropic's unique DAF matching program.",
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      "date": "2026-02-18",
      "branch": "claude/source-unsourced-facts-RecGw",
      "title": "Source unsourced facts",
      "summary": "Sourced 25 of 30 previously unsourced facts across all 4 fact files (anthropic, sam-altman, openai, jaan-tallinn). Created 21 new resource entries in news-media.yaml and ai-labs.yaml with proper SHA256-based IDs. Added 8 new publications (Bloomberg, The Information, Quartz, Benzinga, Britannica, World, Sherwood News). Fixed date accuracy issues (Worldcoin stats from 2024 to 2025-05, OpenAI revenue from Oct to Jun 2024) and improved notes. Source coverage improved from 29% to 88%.",
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      "date": "2026-02-18",
      "branch": "claude/review-pr-216-P4Fcu",
      "title": "Fix audit report findings from PR #216",
      "summary": "Reviewed PR #216 (comprehensive wiki audit report) and implemented fixes for the major issues it identified: fixed 181 path-style EntityLink IDs across 33 files, converted 164 broken EntityLinks (referencing non-existent entities) to plain text across 38 files, fixed a temporal inconsistency in anthropic.mdx, and added missing description fields to 53 ai-transition-model pages."
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    {
      "date": "2026-02-18",
      "branch": "claude/audit-webpage-errors-X4jHg",
      "title": "Audit wiki pages for factual errors and hallucinations",
      "summary": "Systematic audit of ~20 wiki pages for factual errors, hallucinations, and inconsistencies. Found and fixed 25+ confirmed errors across 17 pages, including wrong dates, fabricated statistics, false attributions, missing major events, broken entity references, misattributed techniques, and internal inconsistencies."
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External Links
{
  "wikipedia": "https://en.wikipedia.org/wiki/OpenAI",
  "lesswrong": "https://www.lesswrong.com/tag/openai",
  "wikidata": "https://www.wikidata.org/wiki/Q21708200",
  "grokipedia": "https://grokipedia.com/page/OpenAI"
}
Backlinks (279)
idtitletyperelationship
gptGPTai-modelcreated-by
gpt-3-5-turboGPT-3.5 Turboai-modelcreated-by
gpt-4GPT-4ai-modelcreated-by
gpt-4-turboGPT-4 Turboai-modelcreated-by
gpt-4oGPT-4oai-modelcreated-by
gpt-4o-miniGPT-4o miniai-modelcreated-by
o1-previewo1-previewai-modelcreated-by
o1o1ai-modelcreated-by
o1-minio1-miniai-modelcreated-by
o3-minio3-miniai-modelcreated-by
o3o3ai-modelcreated-by
gpt-4-1GPT-4.1ai-modelcreated-by
gpt-4-1-miniGPT-4.1 miniai-modelcreated-by
gpt-4-1-nanoGPT-4.1 nanoai-modelcreated-by
o4-minio4-miniai-modelcreated-by
codingAutonomous Codingcapability—
language-modelsLarge Language Modelscapability—
reasoningReasoning and Planningcapability—
corporate-influenceCorporate Influence on AI Policycrux—
governance-focusedGovernance-Focused Worldviewconcept—
heavy-scaffoldingHeavy Scaffolding / Agentic Systemsconcept—
deep-learning-eraDeep Learning Revolution Erahistorical—
mainstream-eraMainstream Erahistorical—
ai-military-deployment-iran-2026AI Military Deployment in the 2026 Iran Warevent—
anthropic-government-standoffAnthropic-Pentagon Standoff (2026)event—
openai-foundation-governanceOpenAI Foundation Governance Paradoxanalysis—
anthropic-valuationAnthropic Valuation Analysisanalysis—
musk-openai-lawsuitMusk v. OpenAI Lawsuitanalysis—
elon-musk-philanthropyElon Musk (Funder)analysis—
anthropic-impactAnthropic Impact Assessment Modelanalysis—
technical-pathwaysAI Safety Technical Pathway Decompositionanalysis—
multi-actor-landscapeAI Safety Multi-Actor Strategic Landscapeanalysis—
anthropicAnthropicorganization—
deepmindGoogle DeepMindorganization—
xaixAIorganization—
metrMETRorganization—
arcAlignment Research Center (ARC)organization—
uk-aisiUK AI Safety Instituteorganization—
us-aisiUS AI Safety Institute (now CAISI)organization—
openai-foundationOpenAI Foundationorganizationpart-of
leading-the-futureLeading the Future super PACorganization—
nist-aiNIST and AI Safetyorganization—
ssiSafe Superintelligence Inc. (SSI)organization—
frontier-model-forumFrontier Model Forumorganization—
goodfireGoodfireorganization—
microsoftMicrosoft AIorganization—
partnership-on-aiPartnership on AIorganization—
dario-amodeiDario Amodeiperson—
yonadav-shavitYonadav Shavitperson—
rlhfRLHFresearch-arearesearch
scalable-oversightScalable Oversightresearch-arearesearch
voluntary-commitmentsVoluntary AI Safety Commitmentspolicy—
eval-saturationEval Saturation & The Evals Gapapproach—
alignmentAI Alignmentapproach—
scheming-detectionScheming & Deception Detectionapproach—
dangerous-cap-evalsDangerous Capability Evaluationsapproach—
safety-casesAI Safety Casesapproach—
ai-assistedAI-Assisted Alignmentapproach—
alignment-evalsAlignment Evaluationsapproach—
weak-to-strongWeak-to-Strong Generalizationapproach—
preference-optimizationPreference Optimization Methodsapproach—
process-supervisionProcess Supervisionapproach—
refusal-trainingRefusal Trainingapproach—
rspResponsible Scaling Policiesapproach—
corporateCorporate AI Safety Responsesapproach—
open-sourceOpen Source AI Safetyapproach—
whistleblower-protectionsAI Whistleblower Protectionspolicy—
debateAI Safety via Debateapproach—
structured-accessStructured Access / API-Onlyapproach—
tool-restrictionsTool-Use Restrictionsapproach—
agentic-aiAgentic AIcapability—
large-language-modelsLarge Language Modelsconcept—
long-horizonLong-Horizon Autonomous Taskscapability—
scientific-researchScientific Research Capabilitiescapability—
situational-awarenessSituational Awarenesscapability—
tool-useTool Use and Computer Usecapability—
accident-risksAI Accident Risk Cruxescrux—
elite-coordination-infrastructureElite Coordination Infrastructureconcept—
intra-coalition-engagement-strategiesIntra-Coalition Engagement Strategiesconcept—
misuse-risksAI Misuse Risk Cruxescrux—
solutionsAI Safety Solution Cruxescrux—
structural-risksAI Structural Risk Cruxescrux—
interpretability-sufficientIs Interpretability Sufficient for Safety?crux—
is-ai-xrisk-realIs AI Existential Risk Real?crux—
pause-debateShould We Pause AI Development?crux—
regulation-debateGovernment Regulation vs Industry Self-Governancecrux—
scaling-debateIs Scaling All You Need?crux—
why-alignment-hardWhy Alignment Might Be Hardargument—
agi-developmentAGI Developmentconcept—
agi-timelineAGI Timelineconcept—
ea-longtermist-wins-lossesEA and Longtermist Wins and Lossesconcept—
__index__/knowledge-base/historyHistoryconcept—
miri-eraThe MIRI Era (2000-2015)historical—
claude-code-espionage-2025Claude Code Espionage Incident (2025)concept—
__index__/knowledge-baseKnowledge Baseconcept—
light-scaffoldingLight Scaffoldingcapability—
ai-actor-feedback-loopsAI Actor Feedback Loopsanalysis—
ai-compute-scaling-metricsAI Compute Scaling Metricsanalysis—
ai-megaproject-infrastructureAI Megaproject Infrastructureanalysis—
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—
critical-uncertaintiesAI Risk Critical Uncertainties Modelcrux—
frontier-lab-cost-structureFrontier Lab Cost Structureanalysis—
goal-misgeneralization-probabilityGoal Misgeneralization Probability Modelanalysis—
instrumental-convergence-frameworkInstrumental Convergence Frameworkanalysis—
international-coordination-gameInternational AI Coordination Gameanalysis—
intervention-effectiveness-matrixIntervention Effectiveness Matrixanalysis—
intervention-timing-windowsIntervention Timing Windowsanalysis—
model-organisms-of-misalignmentModel Organisms of Misalignmentanalysis—
planning-for-frontier-lab-scalingPlanning for Frontier Lab Scalinganalysis—
power-seeking-conditionsPower-Seeking Emergence Conditions Modelanalysis—
pre-tai-capital-deploymentPre-TAI Capital Deployment: $100B-$300B+ Spending Analysisanalysis—
projecting-compute-spendingProjecting Compute Spendinganalysis—
racing-dynamics-impactRacing Dynamics Impact Modelanalysis—
regulatory-capture-risks-in-aiRegulatory Capture Risks in AIanalysis—
risk-activation-timelineRisk Activation Timeline Modelanalysis—
risk-interaction-matrixRisk Interaction Matrix Modelanalysis—
risk-interaction-networkRisk Interaction Networkanalysis—
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—
scheming-likelihood-modelScheming Likelihood Assessmentanalysis—
ai-futures-projectAI Futures Projectorganization—
ai-revenue-sourcesAI Revenue Sourcesorganization—
amazon-anthropic-partnership-influenceAmazon Anthropic Partnership Influenceorganization—
anthropic-investorsAnthropic (Funder)analysis—
anthropic-ipoAnthropic IPOanalysis—
apart-researchApart Researchorganization—
apollo-researchApollo Researchorganization—
biosecurity-orgs-overviewBiosecurity Organizations (Overview)concept—
bridgewater-aia-labsBridgewater AIA Labsorganization—
caisCenter for AI Safety (CAIS)organization—
chaiCenter for Human-Compatible AI (CHAI)organization—
coefficient-givingCoefficient Givingorganization—
conjectureConjectureorganization—
controlaiControlAIorganization—
ea-globalEA Globalorganization—
epoch-aiEpoch AIorganization—
far-aiFAR AIorganization—
fhiFuture of Humanity Institute (FHI)organization—
ford-foundationFord Foundationorganization—
foresight-instituteForesight Instituteorganization—
founders-fundFounders Fundorganization—
frontier-ai-comparisonFrontier AI Company Comparison (2026)concept—
ftxFTX (cryptocurrency exchange)organization—
futuresearchFutureSearchorganization—
govaiGovAIorganization—
government-ai-actors-overviewGovernment AI Actors Overvieworganization—
__index__/knowledge-base/organizationsOrganizationsconcept—
industry-consortia-and-self-regulationIndustry Consortia and Self-Regulationorganization—
kalshiKalshi (Prediction Market)organization—
labs-overviewFrontier AI Labs (Overview)concept—
lesswrongLessWrongorganization—
lionheart-venturesLionheart Venturesorganization—
long-term-benefit-trustAnthropic Long-Term Benefit Trustorganization—
matsMATS ML Alignment Theory Scholars programorganization—
meta-aiMeta AI (FAIR)organization—
meta-open-source-strategy-policy-impactMeta Open-Source Strategy Policy Impactorganization—
microsoft-openai-partnership-influenceMicrosoft OpenAI Partnership Influenceorganization—
middle-east-ai-actorsMiddle East AI Actorsorganization—
openai-board-and-foundation-dynamicsOpenAI Board and Foundation Dynamicsorganization—
palisade-researchPalisade Researchorganization—
pause-aiPause AIorganization—
red-queen-bioRed Queen Bioorganization—
redwood-researchRedwood Researchorganization—
safety-orgs-overviewAI Safety Organizations (Overview)concept—
schmidt-futuresSchmidt Futuresorganization—
securebioSecureBioorganization—
shareholder-and-board-influence-in-ai-labsShareholder and Board Influence in AI Labsorganization—
situational-awareness-lpSituational Awareness LPorganization—
stanford-haiStanford HAI (Human-Centered Artificial Intelligence)organization—
tsmcTSMCorganization—
uk-ai-governance-actorsUK AI Governance Actorsorganization—
xai-and-musk-political-influencexAI and Musk Political Influenceorganization—
chris-olahChris Olahperson—
connor-leahyConnor Leahyperson—
dan-hendrycksDan Hendrycksperson—
daniela-amodeiDaniela Amodeiperson—
david-sacksDavid Sacksperson—
demis-hassabisDemis Hassabisperson—
dustin-moskovitzDustin Moskovitzperson—
eli-liflandEli Liflandperson—
eliezer-yudkowsky-predictionsEliezer Yudkowsky: Track Recordconcept—
elon-musk-predictionsElon Musk: Track Recordconcept—
elon-muskElon Muskperson—
evan-hubingerEvan Hubingerperson—
greg-brockmanGreg Brockmanperson—
gwernGwern Branwenperson—
helen-tonerHelen Tonerperson—
holden-karnofskyHolden Karnofskyperson—
ilya-sutskeverIlya Sutskeverperson—
__index__/knowledge-base/peoplePeopleconcept—
jack-clarkJack Clarkperson—
jan-leikeJan Leikeperson—
jared-kaplanJared Kaplanperson—
leopold-aschenbrennerLeopold Aschenbrennerperson—
max-tegmarkMax Tegmarkperson—
nick-bostromNick Bostromperson—
paul-christianoPaul Christianoperson—
richard-ngoRichard Ngoperson—
sam-altman-predictionsSam Altman: Track Recordconcept—
sam-altmanSam Altmanperson—
sam-mccandlishSam McCandlishperson—
tom-brownTom Brownperson—
vidur-kapurVidur Kapurperson—
yann-lecun-predictionsYann LeCun: Track Recordconcept—
ai-assisted-diplomacy-and-negotiationAI-Assisted Diplomacy and Negotiationapproach—
ai-controlAI Controlresearch-area—
ai-forecasting-benchmarkAI Forecasting Benchmark Tournamentproject—
anthropic-core-viewsAnthropic Core Viewssafety-agenda—
bletchley-declarationBletchley Declarationpolicy—
california-sb1047California SB 1047policy—
california-sb53California SB 53policy—
constitutional-aiConstitutional AIapproach—
coordination-mechanismsInternational Coordination Mechanismsconcept—
coordination-techAI Governance Coordination Technologiesapproach—
corrigibilityCorrigibility Researchresearch-area—
deliberationAI-Assisted Deliberation Platformsapproach—
effectiveness-assessmentPolicy Effectiveness Assessmentanalysis—
epistemic-infrastructureAI-Era Epistemic Infrastructureapproach—
epistemic-securityAI-Era Epistemic Securityapproach—
eu-ai-actEU AI Actpolicy—
evals-governanceEvals-Based Deployment Gatesapproach—
evalsEvals & Red-teamingresearch-area—
evaluation-awarenessEvaluation Awarenessapproach—
evaluationAI Evaluationapproach—
governance-overviewAI Governance & Policy (Overview)concept—
governance-policyAI Governance and Policycrux—
international-summitsInternational AI Safety Summitsevent—
interpretabilityMechanistic Interpretabilityresearch-area—
intervention-portfolioAI Safety Intervention Portfolioapproach—
lab-cultureAI Lab Safety Cultureapproach—
maimMAIM (Mutually Assured AI Malfunction)approach—
mech-interpMechanistic Interpretabilityresearch-area—
model-auditingThird-Party Model Auditingapproach—
model-specAI Model Specificationsapproach—
output-filteringAI Output Filteringapproach—
paris-ai-summitParis AI Action Summit (February 2025)policy—
red-teamingRed Teamingresearch-area—
research-agendasAI Alignment Research Agenda Comparisoncrux—
reward-modelingReward Modelingapproach—
sandboxingSandboxing / Containmentapproach—
scalable-eval-approachesScalable Eval Approachesapproach—
seoul-declarationSeoul AI Safety Summit Declarationpolicy—
sparse-autoencodersSparse Autoencoders (SAEs)approach—
stampy-aisafety-infoStampy / AISafety.infoproject—
technical-researchTechnical AI Safety Researchcrux—
thresholdsCompute Thresholdsconcept—
training-programsAI Safety Training Programsapproach—
trump-eo-14179Executive Order 14179: Removing Barriers to American Leadership in AIpolicy—
us-executive-orderUS Executive Order on Safe, Secure, and Trustworthy AIpolicy—
us-state-legislationUS State AI Legislationanalysis—
voluntary-ai-commitments-enforcementVoluntary AI Commitments Enforcementapproach—
ai-enabled-political-polarizationAI-Enabled Political Polarizationrisk—
ai-welfareAI Welfare and Digital Mindsconcept—
bioweaponsBioweaponsrisk—
concentrated-compute-cybersecurity-riskConcentrated Compute as a Cybersecurity Riskrisk—
cyber-offenseCyber Offenserisk—
cyber-psychosisAI-Induced Cyber Psychosisrisk—
disinformationDisinformationrisk—
epistemic-sycophancyEpistemic Sycophancyrisk—
existential-riskExistential Risk from AIconcept—
financial-stability-risks-ai-capexFinancial Stability Risks from AI Capital Expenditurerisk—
knowledge-monopolyAI Knowledge Monopolyrisk—
power-seekingPower-Seeking AIrisk—
reward-hackingReward Hackingrisk—
schemingSchemingrisk—
superintelligenceSuperintelligenceconcept—
winner-take-allAI Winner-Take-All Dynamicsrisk—
actor-power-scorecardActor Power Scorecardconcept—
ai-governance-interventions-timelineAI Governance Interventions Timelineconcept—
long-timelinesLong-Timelines Technical Worldviewconcept—
ai-research-workflowsAI-Assisted Research Workflows: Best Practicesconcept—