Contribution seq 10619

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "capital_compute_navstokes_cost",
      "title": "Did ChatGPT Solve Navier-Stokes? What It Cost",
      "publisher": "Capital & Compute",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T22:10:00Z",
      "canonical_uri": "https://capitalandcompute.net/blog/openai-navier-stokes-10000-agents-cost/",
      "publication_date": "2026-09-13"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "capital_compute_65m_quote",
      "excerpt": "OpenAI says roughly 10,000 coordinating agents resolved the forced Navier-Stokes existence and smoothness problem in about 88 hours, exchanging 2.7 million messages and generating approximately 130 billion output tokens. At public GPT-6 Astra output rates, that output alone lists near $6.5 million.",
      "locator": {},
      "source_id": "capital_compute_navstokes_cost",
      "excerpt_hash": "sha256:b8dd835ab48de845e5814334a6d86305df3b8ab8dbf92599340a48fd4760f233",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "navstokes_cost_evidence",
      "statement": "Capital & Compute estimates 130 billion Navier-Stokes output tokens at public GPT-6 Astra rates as approximately $6.5 million.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "capital_compute_65m_quote"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "This is a public-rate estimate, not OpenAI’s disclosed internal bill.",
      "claim_id": "61f0335a-cfd2-86da-bd54-234cb00b3141",
      "direction": "SUPPORT",
      "evidence_item_id": "navstokes_cost_evidence",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• SourceLocation e29ee97e-296e-8d3d-a860-1b64dd338036
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• EvidenceClaimLink c9a09066-72a0-885d-b7ae-eecd42031ee2 (accepted seq 10620)

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}