{
  "schema_version": "1.1",
  "meta": {
    "title": "The AI stack",
    "as_of": "2026-09-24",
    "root_ids": [
      "cx-abilene-buildout",
      "cx-astra-development",
      "cx-work-deployment",
      "cx-gpai-code"
    ],
    "coverage_status": "partial",
    "scope": "One shared chygraph classified by nine domains. Selected dated evidence across all nine domains; not an exhaustive inventory of the global AI stack.",
    "semantics": "Domain layers are metadata. Compounds preserve their internal hypergraphs. Repeated IDs preserve identity across compounds. Incidence and editorial inclusion do not establish causation, operational dependency, legal applicability or completed compliance.",
    "limitations": [
      "No named model is asserted to run on Abilene hardware",
      "No one campus, company or jurisdiction represents the full stack",
      "Historical announcements retain their dates and statuses; planned quantities are not operational measurements",
      "Model-development and product claims are attributed to their publishers",
      "One provider, three chapter compounds, and six selected commitments from the final Code of 10 July 2025. Atoms include named institutions, scoped actor roles and required artifact types; they do not assert particular completed deliveries. This is not an exhaustive transcription of the Code or a compliance assessment.",
      "The Safety and Security commitments concern GPAI models with systemic risk. No named model is classified here. Transparency preserves its specified free and open-source exception."
    ]
  },
  "layers": [
    {
      "id": "01",
      "label": "Capital",
      "color": "#F2CC0C",
      "summary": "Funding and financial claims",
      "definition": "Financing and allocating financial resources, risk and claims",
      "boundary": "Human work and expertise remain Labor objects; the layer does not absorb them into human capital",
      "population_status": "partial-seed"
    },
    {
      "id": "02",
      "label": "Substrate",
      "color": "#237A3C",
      "summary": "Material and environmental foundation",
      "definition": "Material inputs, energy, land, water, facilities and supporting utilities",
      "boundary": "Utility equipment belongs here by function; devices that compute, store, communicate, sense or act belong to Hardware",
      "population_status": "partial-seed"
    },
    {
      "id": "03",
      "label": "Hardware",
      "color": "#00BDD6",
      "summary": "Physical devices and production",
      "definition": "Devices for computation, storage, communication, sensing and embodied action, and their production chains",
      "boundary": "Separate a physical device from a provisioned compute service and from the utility machinery sustaining it",
      "population_status": "partial-seed"
    },
    {
      "id": "04",
      "label": "Platform",
      "color": "#D32F2F",
      "summary": "Reusable computing and services",
      "definition": "Reusable services for execution, state, coordination and resource access",
      "boundary": "Includes cloud, edge, local and embedded services; a provider corporation is not itself the entire platform layer",
      "population_status": "partial-seed"
    },
    {
      "id": "05",
      "label": "Experience",
      "color": "#E885AD",
      "summary": "Learning and assessment material",
      "definition": "Production, acquisition, curation and validation of material and situations through which AI learns or is assessed",
      "boundary": "This means learning and assessment experience, not product user experience, all data or all labor",
      "population_status": "partial-seed"
    },
    {
      "id": "06",
      "label": "Model",
      "color": "#8A2BAF",
      "summary": "Learned representations and mechanisms",
      "definition": "Learned representations and mechanisms for prediction, generation and decision",
      "boundary": "A model can change through learning; identity, memory and authority of the surrounding System can persist across model changes",
      "population_status": "partial-seed"
    },
    {
      "id": "07",
      "label": "System",
      "color": "#EB6B12",
      "summary": "Task-performing arrangements and agents",
      "definition": "Assembled AI arrangements that perform tasks through computation, interaction and action",
      "boundary": "Internal assembly belongs here; embedding the arrangement in an institution's working practices belongs to Integration",
      "population_status": "partial-seed"
    },
    {
      "id": "08",
      "label": "Integration",
      "color": "#FFFFFF",
      "summary": "Organizational use and adaptation",
      "definition": "Embedding AI in working practices and institutions, with changes to both",
      "boundary": "Distinguish operational adoption and organizational change from software assembly within System",
      "population_status": "partial-seed"
    },
    {
      "id": "09",
      "label": "Governance",
      "color": "#242323",
      "summary": "Authority rules and accountability",
      "definition": "Purposes, decision rights, constraints, oversight and accountability across the stack",
      "boundary": "Governance reaches every layer; position in the drawing does not make it a final production step",
      "population_status": "partial-seed"
    }
  ],
  "atoms": [
    {
      "id": "openai",
      "label": "OpenAI",
      "kind": "organization",
      "layer": "06",
      "layers": [
        "06",
        "07",
        "09"
      ],
      "description": "One shared organization identity; layer tags describe documented roles, not exclusive entity types",
      "short_label": "OpenAI"
    },
    {
      "id": "model",
      "label": "GPAI model",
      "kind": "model_scope",
      "layer": "06",
      "description": "A general-purpose AI model within the relevant commitment’s scope; this is a model category, not a named release"
    },
    {
      "id": "model-documentation",
      "label": "Model documentation",
      "kind": "required_artifact",
      "description": "Documentation specified by the Code; no claim that a particular document has been supplied"
    },
    {
      "id": "downstream-provider",
      "label": "Downstream provider",
      "kind": "actor_role",
      "layer": "08"
    },
    {
      "id": "ai-office",
      "label": "EU AI Office",
      "kind": "public_authority",
      "layer": "09"
    },
    {
      "id": "crawler",
      "label": "Web crawler",
      "kind": "software_role",
      "layer": "07",
      "description": "A crawler used by, or on behalf of, the signatory for text and data mining and model training; no named crawler is asserted"
    },
    {
      "id": "rights-reservation",
      "label": "robots.txt reservation",
      "kind": "rights_reservation",
      "layer": "09",
      "description": "A machine-readable reservation expressed through the Robot Exclusion Protocol; the chapter also addresses other protocols"
    },
    {
      "id": "rightsholder",
      "label": "Rightsholder",
      "kind": "actor_role"
    },
    {
      "id": "complaints-mechanism",
      "label": "Complaints mechanism",
      "kind": "required_procedure",
      "layer": "09"
    },
    {
      "id": "safety-framework",
      "label": "Safety framework",
      "kind": "required_artifact",
      "layer": "09",
      "description": "The Safety and Security Framework specified by the Code; not equated with any named company framework"
    },
    {
      "id": "model-report",
      "label": "Model report",
      "kind": "required_artifact",
      "description": "The Safety and Security Model Report specified by the Code; not equated with a public system card"
    },
    {
      "id": "crusoe",
      "label": "Crusoe",
      "kind": "organization",
      "layer": "02",
      "layers": [
        "01",
        "02"
      ],
      "short_label": "Crusoe"
    },
    {
      "id": "blue-owl-real-assets",
      "label": "Blue Owl funds",
      "kind": "investment_funds",
      "layer": "01",
      "description": "Funds managed by Blue Owl’s Real Assets platform",
      "short_label": "Blue Owl funds"
    },
    {
      "id": "primary-digital",
      "label": "Primary Digital",
      "kind": "organization",
      "layer": "01",
      "short_label": "Primary Digital"
    },
    {
      "id": "abilene-campus",
      "label": "Abilene campus",
      "kind": "physical_site",
      "layer": "02",
      "description": "The original eight-building Stargate campus, not the separate adjacent Microsoft campus",
      "planned_capacity": {
        "value": 1.2,
        "unit": "GW",
        "announced_on": "2025-05-21",
        "status": "Planned design capacity; not verified live electricity draw"
      },
      "short_label": "Abilene campus"
    },
    {
      "id": "nvidia-gb200",
      "label": "NVIDIA GB200",
      "kind": "accelerator_racks",
      "layer": "03",
      "description": "The GB200 racks reported delivered to Abilene; no individual rack or model-serving assignment is identified",
      "short_label": "NVIDIA GB200"
    },
    {
      "id": "oci",
      "label": "Oracle Cloud",
      "kind": "cloud_platform",
      "layer": "04",
      "canonical_label": "Oracle Cloud Infrastructure",
      "short_label": "Oracle Cloud"
    },
    {
      "id": "oracle",
      "label": "Oracle",
      "kind": "organization",
      "layer": "04",
      "short_label": "Oracle"
    },
    {
      "id": "abilene-cooling",
      "label": "Closed-loop cooling",
      "kind": "cooling_infrastructure",
      "layer": "02",
      "description": "Direct-to-chip, non-evaporative cooling specified for the original Abilene campus",
      "short_label": "Closed-loop cooling"
    },
    {
      "id": "gpt-6-astra",
      "label": "GPT-6 Astra",
      "kind": "model",
      "layer": "06",
      "short_label": "GPT-6 Astra"
    },
    {
      "id": "astra-training-data",
      "label": "Pre-training data",
      "kind": "training_material_scope",
      "layer": "05",
      "description": "Astra’s disclosed pre-training-data composition; corpus contents and identities are not publicly enumerated",
      "short_label": "Pre-training data"
    },
    {
      "id": "astra-rl-grading",
      "label": "RL grading",
      "kind": "learning_assessment_process",
      "layer": "05",
      "description": "Grading during Astra reinforcement learning; underlying graders and rubrics are not identified here",
      "short_label": "RL grading"
    },
    {
      "id": "astra-alignment-evals",
      "label": "Alignment evaluations",
      "kind": "evaluation_suite",
      "layer": "05",
      "description": "The suite of alignment evaluations reported with Astra’s launch",
      "short_label": "Alignment evaluations"
    },
    {
      "id": "chatgpt-work",
      "label": "ChatGPT Work",
      "kind": "agent_system",
      "layer": "07",
      "short_label": "ChatGPT Work"
    },
    {
      "id": "codex",
      "label": "Codex",
      "kind": "agent_system",
      "layer": "07",
      "short_label": "Codex"
    },
    {
      "id": "openai-agent-harness",
      "label": "Agent harness",
      "kind": "orchestration_software",
      "layer": "07",
      "description": "OpenAI’s shared Rust orchestration layer for Codex and ChatGPT Work, as described on 29 July 2026",
      "short_label": "Agent harness"
    },
    {
      "id": "airbnb",
      "label": "Airbnb",
      "kind": "organization",
      "layer": "08",
      "short_label": "Airbnb"
    },
    {
      "id": "airbnb-tooling",
      "label": "Airbnb engineering",
      "kind": "organizational_deployment",
      "layer": "08",
      "description": "Airbnb’s internal developer tooling and engineering workflows; not its public accommodation marketplace interface",
      "short_label": "Airbnb engineering"
    },
    {
      "id": "amazon-bedrock",
      "label": "Amazon Bedrock",
      "kind": "model_serving_platform",
      "layer": "04",
      "short_label": "Amazon Bedrock"
    },
    {
      "id": "openai-api",
      "label": "OpenAI API",
      "kind": "model_serving_platform",
      "layer": "04",
      "short_label": "OpenAI API"
    }
  ],
  "complexes": [
    {
      "id": "cx-gpai-code",
      "label": "EU AI Code of Practice",
      "vertex_ids": [
        "openai",
        "cx-transparency",
        "cx-copyright",
        "cx-safety"
      ],
      "edge_ids": [
        "r-adherence"
      ],
      "layer": "09",
      "kind": "commitment_arrangement",
      "scope": "A bounded selection of OpenAI’s Code commitments, not a complete model of the Code",
      "short_label": "EU AI Code",
      "scope_label": "Selected commitments · 2025 Code"
    },
    {
      "id": "cx-transparency",
      "label": "Transparency",
      "vertex_ids": [
        "openai",
        "model",
        "model-documentation",
        "downstream-provider",
        "ai-office"
      ],
      "edge_ids": [
        "r-documentation-downstream",
        "r-documentation-office"
      ],
      "layer": "09",
      "kind": "chapter",
      "scope": "Two selected disclosure commitments",
      "applicability": "Relevant GPAI models; the chapter preserves the Article 53(2) free and open-source exception unless a model has systemic risk."
    },
    {
      "id": "cx-copyright",
      "label": "Copyright",
      "vertex_ids": [
        "openai",
        "model",
        "crawler",
        "rights-reservation",
        "rightsholder",
        "complaints-mechanism"
      ],
      "edge_ids": [
        "r-rights-reservations",
        "r-copyright-complaints"
      ],
      "layer": "09",
      "kind": "chapter",
      "scope": "Two selected copyright-policy commitments"
    },
    {
      "id": "cx-safety",
      "label": "Safety & security",
      "vertex_ids": [
        "openai",
        "model",
        "safety-framework",
        "model-report",
        "ai-office"
      ],
      "edge_ids": [
        "r-framework-notification",
        "r-model-report"
      ],
      "layer": "09",
      "kind": "chapter",
      "scope": "Two selected notification commitments",
      "applicability": "Only GPAI models with systemic risk within the Safety and Security chapter’s scope. This record does not classify any named OpenAI model."
    },
    {
      "id": "cx-abilene-buildout",
      "label": "Abilene",
      "kind": "infrastructure_arrangement",
      "layer": "02",
      "layers": [
        "01",
        "02",
        "03",
        "04"
      ],
      "scope": "Selected financing, physical design, hardware delivery and operating relationships",
      "scope_label": "Reports · 2025",
      "edge_ids": [
        "r-abilene-finance",
        "r-abilene-cooling"
      ],
      "vertex_ids": [
        "crusoe",
        "blue-owl-real-assets",
        "primary-digital",
        "abilene-campus",
        "abilene-cooling",
        "cx-abilene-cloud"
      ],
      "short_label": "Abilene",
      "containment_semantics": "Editorial analytical scope; inclusion is not a source assertion of ownership, deployment, physical composition or causation"
    },
    {
      "id": "cx-abilene-cloud",
      "label": "Cloud operation",
      "kind": "operating_arrangement",
      "layer": "04",
      "layers": [
        "02",
        "03",
        "04"
      ],
      "scope": "Reported GB200 delivery and OCI operation at the original Abilene campus",
      "scope_label": "OpenAI · 2025",
      "edge_ids": [
        "r-abilene-racks",
        "r-abilene-oci"
      ],
      "vertex_ids": [
        "oracle",
        "nvidia-gb200",
        "abilene-campus",
        "openai",
        "oci"
      ],
      "short_label": "Cloud operation",
      "containment_semantics": "Editorial analytical scope; inclusion is not a source assertion of ownership, deployment, physical composition or causation"
    },
    {
      "id": "cx-astra-development",
      "label": "Astra development",
      "kind": "model_development_arrangement",
      "layer": "06",
      "layers": [
        "05",
        "06"
      ],
      "scope": "Selected disclosed learning and assessment relationships",
      "scope_label": "OpenAI · Sep 2026",
      "edge_ids": [
        "r-astra-training",
        "r-astra-evaluation"
      ],
      "vertex_ids": [
        "openai",
        "gpt-6-astra",
        "astra-training-data",
        "astra-rl-grading",
        "astra-alignment-evals"
      ],
      "short_label": "Astra development",
      "containment_semantics": "Editorial analytical scope; inclusion is not a source assertion of ownership, deployment, physical composition or causation"
    },
    {
      "id": "cx-work-deployment",
      "label": "Agents and adoption",
      "kind": "deployment_arrangement",
      "layer": "08",
      "layers": [
        "04",
        "06",
        "07",
        "08"
      ],
      "scope": "Selected software architecture and organizational use",
      "scope_label": "Reports · 2026",
      "edge_ids": [
        "r-airbnb-model-access",
        "r-airbnb-engineering"
      ],
      "vertex_ids": [
        "openai",
        "airbnb",
        "gpt-6-astra",
        "openai-api",
        "amazon-bedrock",
        "airbnb-tooling",
        "codex",
        "cx-work-system"
      ],
      "short_label": "Agents and adoption",
      "containment_semantics": "Editorial analytical scope; inclusion is not a source assertion of ownership, deployment, physical composition or causation"
    },
    {
      "id": "cx-work-system",
      "label": "Work and Codex",
      "kind": "agent_arrangement",
      "layer": "07",
      "layers": [
        "06",
        "07"
      ],
      "scope": "Model availability and shared orchestration software",
      "scope_label": "OpenAI · 2026",
      "edge_ids": [
        "r-astra-work-access",
        "r-shared-harness"
      ],
      "vertex_ids": [
        "openai",
        "gpt-6-astra",
        "chatgpt-work",
        "codex",
        "openai-agent-harness"
      ],
      "short_label": "Work and Codex",
      "containment_semantics": "Editorial analytical scope; inclusion is not a source assertion of ownership, deployment, physical composition or causation"
    }
  ],
  "relations": [
    {
      "id": "r-adherence",
      "label": "Signed commitments",
      "complex_id": "cx-gpai-code",
      "member_ids": [
        "openai",
        "cx-transparency",
        "cx-copyright",
        "cx-safety"
      ],
      "claim": "The European Commission lists OpenAI as a signatory to the General-Purpose AI Code of Practice, comprising Transparency, Copyright, and Safety and Security",
      "source_refs": [
        {
          "source_id": "ec-code-signatories",
          "locator": "The 3 chapters of the code; Signatories of the code of practice — OpenAI listed; xAI separately identified as signing only Safety and Security"
        }
      ],
      "claim_type": "listed_signatory",
      "status": "Listed signatory",
      "causal_claim": false,
      "signature_date": null,
      "limitations": "The public list establishes OpenAI’s Code signatory status but does not publish its exact signature date or signed form. Full-Code coverage follows the Commission’s distinction between the general signatory list and the separately named chapter-only signatory. Signature is not proof of adherence or compliance.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-documentation-downstream",
      "label": "Share documentation",
      "complex_id": "cx-transparency",
      "member_ids": [
        "openai",
        "model",
        "model-documentation",
        "downstream-provider"
      ],
      "claim": "For covered models, OpenAI commits to provide downstream providers the current model information intended for them, subject to confidentiality safeguards",
      "source_refs": [
        {
          "source_id": "ec-code-transparency",
          "locator": "Commitment 1; Measure 1.2, pages 5–6"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources.",
      "applicability": "Relevant GPAI models; the chapter preserves the Article 53(2) free and open-source exception unless a model has systemic risk.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-documentation-office",
      "label": "Disclose on request",
      "complex_id": "cx-transparency",
      "member_ids": [
        "openai",
        "model-documentation",
        "ai-office"
      ],
      "claim": "OpenAI commits to provide the AI Office requested model information necessary for its statutory tasks, within the period specified in the request",
      "source_refs": [
        {
          "source_id": "ec-code-transparency",
          "locator": "Measure 1.2, page 5"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources.",
      "applicability": "Relevant GPAI models; the chapter preserves the Article 53(2) free and open-source exception unless a model has systemic risk.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-rights-reservations",
      "label": "Respect reservations",
      "complex_id": "cx-copyright",
      "member_ids": [
        "openai",
        "model",
        "crawler",
        "rights-reservation"
      ],
      "claim": "When crawling for text and data mining and model training, OpenAI commits to use crawlers that read and follow robots.txt instructions",
      "source_refs": [
        {
          "source_id": "ec-code-copyright",
          "locator": "Measure 1.3(1)(a), page 5"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources. This selects one protocol commitment; it does not exhaust the chapter’s treatment of rights reservations.",
      "applicability": "When web crawlers are used by or on behalf of the signatory for text and data mining and training of its GPAI models",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-copyright-complaints",
      "label": "Handle complaints",
      "complex_id": "cx-copyright",
      "member_ids": [
        "openai",
        "rightsholder",
        "complaints-mechanism"
      ],
      "claim": "OpenAI commits to provide an electronic mechanism for substantiated rightsholder complaints about the chapter’s commitments and to handle them diligently",
      "source_refs": [
        {
          "source_id": "ec-code-copyright",
          "locator": "Measure 1.5(1)–(2), page 6"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources. The commitment includes exceptions for manifestly unfounded or already answered identical complaints.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-framework-notification",
      "label": "Notify framework",
      "complex_id": "cx-safety",
      "member_ids": [
        "openai",
        "safety-framework",
        "ai-office"
      ],
      "claim": "For models within this chapter’s scope, OpenAI commits to give the AI Office unredacted access to its safety framework and confirmed updates within five business days",
      "source_refs": [
        {
          "source_id": "ec-code-safety",
          "locator": "Commitment 1, page 6; Measure 1.4, page 10"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources.",
      "applicability": "Only GPAI models with systemic risk within the Safety and Security chapter’s scope. This record does not classify any named OpenAI model.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-model-report",
      "label": "Submit model report",
      "complex_id": "cx-safety",
      "member_ids": [
        "openai",
        "model",
        "model-report",
        "ai-office"
      ],
      "claim": "For models within this chapter’s scope, OpenAI commits to give the AI Office a safety and security model report by market placement, subject to the Code’s stated exceptions",
      "source_refs": [
        {
          "source_id": "ec-code-safety",
          "locator": "Commitment 7, pages 18–19; Measure 7.7, pages 22–23"
        }
      ],
      "claim_type": "code_commitment",
      "status": "Documented commitment",
      "causal_claim": false,
      "limitations": "A selected commitment drawn from the final Code, attributed to OpenAI as a listed signatory. Fulfilment is not established by these sources. National-security redactions and a conditional delay of up to 15 business days are addressed in Measure 7.7.",
      "applicability": "Only GPAI models with systemic risk within the Safety and Security chapter’s scope. This record does not classify any named OpenAI model.",
      "as_of": "2026-09-24"
    },
    {
      "id": "r-abilene-finance",
      "label": "Finance",
      "complex_id": "cx-abilene-buildout",
      "member_ids": [
        "crusoe",
        "blue-owl-real-assets",
        "primary-digital",
        "abilene-campus"
      ],
      "claim": "Crusoe, Blue Owl-managed funds and Primary Digital announced a $15 billion joint venture funding the original Abilene campus expansion",
      "source_refs": [
        {
          "source_id": "crusoe-abilene-financing",
          "locator": "Opening paragraphs and joint-venture terms"
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      "event_date": "2025-05-21",
      "reported_date": "2025-05-21",
      "observed_on": "2026-09-24",
      "status": "Announced financing",
      "claim_type": "primary_source_report",
      "causal_claim": false,
      "limitations": "Announced project financing is not a statement of cash fully disbursed or campus completion",
      "member_roles": {
        "crusoe": "joint sponsor",
        "blue-owl-real-assets": "joint sponsor",
        "primary-digital": "joint sponsor",
        "abilene-campus": "financed site"
      },
      "short_label": "Finance"
    },
    {
      "id": "r-abilene-cooling",
      "label": "Cool",
      "complex_id": "cx-abilene-buildout",
      "member_ids": [
        "crusoe",
        "abilene-campus",
        "abilene-cooling"
      ],
      "claim": "Crusoe specified direct-to-chip, closed-loop non-evaporative cooling for the eight-building campus",
      "source_refs": [
        {
          "source_id": "crusoe-abilene-financing",
          "locator": "Eight-building design and cooling paragraph"
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      "status": "Specified design",
      "claim_type": "primary_source_report",
      "causal_claim": false,
      "limitations": "This is a published design statement; no measured water or energy consumption is inferred",
      "short_label": "Cool"
    },
    {
      "id": "r-abilene-racks",
      "label": "Deliver",
      "complex_id": "cx-abilene-cloud",
      "member_ids": [
        "oracle",
        "nvidia-gb200",
        "abilene-campus"
      ],
      "claim": "Oracle began delivering NVIDIA GB200 racks to the original Abilene site in June 2025",
      "source_refs": [
        {
          "source_id": "openai-abilene-first-workloads",
          "locator": "Paragraph beginning Meanwhile, construction of Stargate I"
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      "event_date": "2025-06",
      "reported_date": "2025-07-22",
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      "status": "Reported delivery",
      "claim_type": "primary_source_report",
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      "limitations": "The number of installed racks and current total operating capacity are not established here",
      "member_roles": {
        "oracle": "deliverer",
        "nvidia-gb200": "hardware delivered",
        "abilene-campus": "destination"
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      "short_label": "Deliver",
      "event_precision": "month"
    },
    {
      "id": "r-abilene-oci",
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      "complex_id": "cx-abilene-cloud",
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        "oracle",
        "oci",
        "abilene-campus"
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      "claim": "OpenAI reported early training and inference workloads at Abilene, operating on Oracle Cloud Infrastructure",
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      "status": "Reported operation",
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      "limitations": "No named model, user request or downstream service is assigned to this campus",
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        "abilene-campus": "physical site"
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      "short_label": "Run workloads",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
    },
    {
      "id": "r-astra-training",
      "label": "Train",
      "complex_id": "cx-astra-development",
      "member_ids": [
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        "gpt-6-astra",
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        "astra-rl-grading"
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      "claim": "OpenAI describes Astra alignment work spanning pre-training-data composition and grading during reinforcement learning",
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        {
          "source_id": "openai-astra-safety",
          "locator": "Numbered point 3"
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      "status": "Reported development",
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      "limitations": "Training-data contents, grader identities and detailed recipes are not disclosed by this summary",
      "short_label": "Train",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
    },
    {
      "id": "r-astra-evaluation",
      "label": "Evaluate",
      "complex_id": "cx-astra-development",
      "member_ids": [
        "openai",
        "gpt-6-astra",
        "astra-alignment-evals"
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      "claim": "OpenAI reports a suite of alignment evaluations for Astra, including authorized-scope and boundary behavior",
      "source_refs": [
        {
          "source_id": "openai-astra-safety",
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      "status": "Reported evaluation",
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      "limitations": "The edge records reported evaluation activity, not independent confirmation of performance or universal safety",
      "short_label": "Evaluate",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
    },
    {
      "id": "r-astra-work-access",
      "label": "Make available",
      "complex_id": "cx-work-system",
      "member_ids": [
        "openai",
        "gpt-6-astra",
        "chatgpt-work",
        "codex"
      ],
      "claim": "OpenAI documents Astra access in ChatGPT Work and Codex, subject to plan and workspace permissions",
      "source_refs": [
        {
          "source_id": "openai-work-codex-help",
          "locator": "Opening paragraphs; Models in Work and Codex; Astra usage"
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      "limitations": "Model choice, plan and permissions vary; this does not say every task uses Astra",
      "short_label": "Make available",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
    },
    {
      "id": "r-shared-harness",
      "label": "Orchestrate",
      "complex_id": "cx-work-system",
      "member_ids": [
        "openai",
        "chatgpt-work",
        "codex",
        "openai-agent-harness"
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      "claim": "OpenAI describes a Rust agent harness shared by ChatGPT Work and Codex that orchestrates model requests and tool calls",
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          "source_id": "openai-agent-harness-engineering",
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      "causal_claim": false,
      "limitations": "Shared software architecture does not imply one running instance or a fixed model",
      "short_label": "Orchestrate",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
    },
    {
      "id": "r-airbnb-model-access",
      "label": "Provide access",
      "complex_id": "cx-work-deployment",
      "member_ids": [
        "openai",
        "airbnb",
        "gpt-6-astra",
        "openai-api",
        "amazon-bedrock"
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      "claim": "Airbnb announced expanded access to OpenAI frontier models including Astra through OpenAI APIs and Amazon Bedrock",
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        {
          "source_id": "airbnb-astra-access",
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      "limitations": "No provider allocation, contract value or per-request routing is disclosed",
      "short_label": "Provide access"
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    {
      "id": "r-airbnb-engineering",
      "label": "Embed",
      "complex_id": "cx-work-deployment",
      "member_ids": [
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        "airbnb-tooling",
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      "claim": "Airbnb reports Codex use and early Astra work within its engineering tooling, including debugging and system design",
      "source_refs": [
        {
          "source_id": "airbnb-astra-access",
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      "as_of": "2026-09-24",
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      "reported_date": "2026-09-23",
      "observed_on": "2026-09-24",
      "status": "Reported organizational use",
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      "limitations": "This does not establish a particular agent configuration or that Astra runs in ChatGPT Work at Airbnb",
      "short_label": "Embed",
      "date_note": "Date of the underlying activity or initial availability is not established here; reported_date and observed_on retain the evidence dates"
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    "topics_with_selected_evidence": 19,
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    "exhaustively_populated_topics": 0,
    "meaning": "Presence of one or more selected claims is not complete coverage. No topic has a complete entity/source census."
  }
}
