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KindShowingImportancePrizesTopicInference-Time Compute Scaling
Claims about how allocating additional computation during inference, testing, or deployment changes AI model performance or capability, including test-time scaling and its relation to training compute. Excludes compute used to train model parameters.
Inference-time compute is a capability axis substantially independent of training compute in frontier AI models.
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.constitution →empirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitution →AI Scaling Trendsimportance · notableImportance 0.45, from 0 to 1 · notable: a contested point in a live debate (also the default before judging). Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →
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