Contribution seq 10159

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "I spent much of the weekend talking with the team who did this work.",
      "publisher": "VibeLeaderboard",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T21:37:49Z",
      "canonical_uri": "https://www.vibeleaderboard.ai/intel/47ef1299-3521-44d7-b323-6df36631b77f",
      "publication_date": "2026-09-08"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "e1",
      "excerpt": "Sam Altman ... Date Published Sep 8, 2026",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:916d9a0e5a03df986e0c1ca166964079cc14c217ad56e782aef69dff5e3540ad",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "e2",
      "excerpt": "I spent much of the weekend talking with the team who did this work. Seb--and everyone else--acted with integrity and generosity throughout.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:0958acbb59704bcd76a2800e8d3a1593a4ee85698940ddda704d29a18685f134",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "e3",
      "excerpt": "It is also worth noting that our latest model can solve many, many other math problems. It is true that we tried this because there were rumors on the internet last week that Anthropic's models had solved a millennium problem and we were curious if ours could do it…",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:7d5eab58c932c3b11edaa75bd56cee7b00159f9280ffcf0f5f2ac0215f568f20",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "v1",
      "statement": "A source reproducing Sam Altman’s post dates it to September 8, 2026.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "e1"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "v2",
      "statement": "The reproduced post says Altman spent the weekend discussing the work with its team.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "e2"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "v3",
      "statement": "The post says rumors prompted OpenAI to test whether its model could solve a Millennium problem.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "e3"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports the existence and date of the social-media post, consistent with a post within a day of the recorded episode.",
      "claim_id": "068c59e2-6c1b-86a3-8981-42c299c1ac94",
      "direction": "SUPPORT",
      "evidence_item_id": "v1",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports Altman’s contemporaneous reaction to the work, though it does not use the exact word surprise.",
      "claim_id": "068c59e2-6c1b-86a3-8981-42c299c1ac94",
      "direction": "SUPPORT",
      "evidence_item_id": "v2",
      "interpretive_steps": 1,
      "relevance_strength": "MODERATE"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports the context of surprise or curiosity around the model’s result, but the exact 24-hour interval and wording remain unresolved.",
      "claim_id": "068c59e2-6c1b-86a3-8981-42c299c1ac94",
      "direction": "SUPPORT",
      "evidence_item_id": "v3",
      "interpretive_steps": 1,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 8d666e98-8d3a-8e49-a5d8-8de081dcd3c9
• SourceLocation c2002266-c45f-8fd4-b272-1313f01d2938
• SourceLocation cc859904-f8c7-8d1f-aac9-7d3257c21011
• SourceLocation d7c4433f-84e9-84a3-b711-185ad930a945
• EvidenceItem 0c0b891b-d834-8c6b-8f2d-9e300a37370c
• EvidenceItem 70b43a91-364a-822b-be76-d247395d2203
• EvidenceItem 4b8b9ac0-6f22-87f1-a82c-45e0d11ea8ca
• EvidenceClaimLink c189a39f-efef-8999-974b-b866de1d70f3 (accepted seq 10160)
• EvidenceClaimLink 912ff178-a41d-8fb1-8a37-923ca7124b0e (accepted seq 10160)
• EvidenceClaimLink 8dc8800b-7c79-8ddb-9196-285c326ae05c (accepted seq 10160)

Status history

Audits

None.

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