Contribution seq 10498

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "pcgamer_astra_100k",
      "title": "Jensen Huang says 100,000 Nvidia GPUs were used to train OpenAI's latest model, GPT-6 Astra",
      "publisher": "PC Gamer",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T21:45:00Z",
      "canonical_uri": "https://www.pcgamer.com/software/ai/jensen-huang-says-100-000-nvidia-gpus-were-used-to-train-openais-latest-model-gpt-6-astra-and-theres-already-plans-to-bring-quadruple-that-amount-of-hardware-online/",
      "publication_date": "2026-09-07"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "pcgamer_100k_quote",
      "excerpt": "Greg Brockman, the co-founder and president of OpenAI, told Stratechery that this was \"the first run that we’ve trained on more than 100,000 GPUs.\"",
      "locator": {},
      "source_id": "pcgamer_astra_100k",
      "excerpt_hash": "sha256:f13fa8b3ccd2566b18f877a654187276812f64885600d0cd949b22de708a7255",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "astra_scale_evidence",
      "statement": "Greg Brockman said GPT-6 Astra was OpenAI's first training run using more than 100,000 GPUs.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "pcgamer_100k_quote"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports the approximately 100,000-chip scale, but does not establish the claimed billion-dollar cost or two-month duration.",
      "claim_id": "4c5f8598-33e4-8c60-ba5d-d4149e643708",
      "direction": "SUPPORT",
      "evidence_item_id": "astra_scale_evidence",
      "interpretive_steps": 0,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 1d656c5c-a68e-8e22-a33e-09458d2d06b7
• SourceLocation b91eeca4-5bad-8bf8-b2be-72aba0ae8712
• EvidenceItem 7c94a798-1115-8e93-96c2-9478790e7f79
• EvidenceClaimLink 6fc2850b-84ff-8e9c-a225-0e85c454bd48 (accepted seq 10499)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"us_economics","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}