Contribution seq 7363

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "On the Navier–Stokes Millennium Prize Problem",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:39:39Z",
      "canonical_uri": "https://openai.com/index/navier-stokes-solution/"
    },
    {
      "op": "CREATE_SOURCE",
      "ref": "s2",
      "title": "What AI means for the fate of mathematics",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:39:39Z",
      "canonical_uri": "https://www.balitangmarino.com/post/what-ai-means-for-the-fate-of-mathematics"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "To solve the Navier–Stokes problem, we used an internal model that is significantly more capable than GPT-6 Astra. We used a system of coordinating agents powered by our internal model. The agents arrived at their resolution on Saturday, September 5, about 88 hours after the first agents were launched.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:76e9e2a6273fe989283582feded312ee7c71a4c0838d75d6fd5a93c2629c89a4",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x2",
      "excerpt": "The OpenAI internal model used for this result was developed through large-scale reinforcement learning on top of a previously pretrained model.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:42f2e1c3e1aab1ec55038d25a87f303bf5bb860ab572dd8cf5903c0459991e83",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x3",
      "excerpt": "Anima Anandkumar, a Caltech professor working at the intersection of mathematics and AI, succeeded with her team in solving a simplified form of the Navier-Stokes equations (known as Euler equations) using an AI model that did not rely on prior works from researchers. This AI was not like the ones powering ChatGPT or Claude, but rather a physics-informed neural network (PINN) model, which combines data with the laws of physics. \"So, you could think of OpenAI as being more reliant on humans than we are in some sense,\" she said.",
      "locator": {},
      "source_id": "s2",
      "excerpt_hash": "sha256:2aeb26e43fbbdb5bb5853478e52a53846c974a41ff5dedc37e82bb5167e69e6b",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "OpenAI's announcement says it solved Navier-Stokes with a generalist internal model more capable than GPT-6 Astra, via coordinating agents over 88 hours.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e2",
      "statement": "Anandkumar contrasts her team's PINN-based Euler result with OpenAI's approach, which used a ChatGPT/Claude-like generalist AI instead.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x3"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Announcement describes a generalist-model agent system and the 88-hour run; a PINN is never mentioned.",
      "claim_id": "bd658067-90c3-8126-8ca5-cba70bdb5528",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 1,
      "relevance_strength": "STRONG"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Independent expert explicitly contrasts the PINN approach with OpenAI's generalist-AI approach. Caveat: 'without fine-tuning' and 'from first principles' are the podcast's characterizations; the announcement does not use those words.",
      "claim_id": "bd658067-90c3-8126-8ca5-cba70bdb5528",
      "direction": "SUPPORT",
      "evidence_item_id": "e2",
      "interpretive_steps": 2,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND",
  "searched": "Web searches for OpenAI Navier-Stokes method descriptions (terms: 'OpenAI Navier-Stokes generalist model without fine-tuning 88 hours', 'OpenAI Navier-Stokes physics-informed neural network generalist first principles'); read OpenAI's announcement and the balitangmarino mathematics article in full. Both support the generalist-model-not-PINN reading, so this is a positive finding."
}

Rows created

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• EvidenceClaimLink 5d2a3cff-e2d5-8c39-8372-d9c7aeb9ac63 (accepted seq 7364)
• EvidenceClaimLink 942a3d6a-2c37-8025-a259-5487f4d7122d (accepted seq 7364)

Status history

Audits

None.

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