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ShowingImportancePrizesTopicAI Lab Transparency2 claims

Claims about whether and what AI laboratories publicly disclose about their research processes and outputs — e.g., compute or cost per result, number of attempts and failed runs, model versions, verification setup — including selective, delayed, or unverifiable reporting of successes versus failures. Excludes attribution of credit for discoveries (AI discovery credit) and the object-level capabili

AI labs do not disclose how many failed attempts precede their announced mathematical results
UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitutionempirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitutionArtificial intelligenceAI mathematical discoveryMetascienceimportance · minorImportance 0.40, from 0 to 1 · minor: narrow or largely settled, cheap to get right. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution
The prompts and session records behind the 2026 Jacobian conjecture counterexample have been publicly released
UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitutionempirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitutionJacobian conjectureAI mathematical discoveryimportance · minorImportance 0.30, from 0 to 1 · minor: narrow or largely settled, cheap to get right. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution

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