Unverified50% confidenceFactExact time
pricehunt's match percentage comes from the probability value (logprobs) of the 'Yes' token, and if the server does not provide logprobs it degrades to a simple Yes/No judgment.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe correlation between token-level probabilities (logprob) output by a model and factual accuracy is not strong, and fabricated facts may receive the same high generation probability as true information.67% similarUnverifiedShannon pointed out that if an event has n equally probable possible outcomes, the minimum amount of information needed to determine the specific outcome is log₂(n) bits.67% similarUnverifiedThe logit bias method requires no modification of model weights, takes effect only at inference time, and has virtually no additional computational overhead.61% similarUnverifiedThe log-score (i.e., cross-entropy) penalizes extreme errors more aggressively, and tends toward negative infinity when a model predicts the wrong answer with a probability close to 1.0.60% similarUnverifiedThe model has an 89% probability of finding the correct evidence, but only a 20% probability of turning it into a verifiable product assertion; 71% of features ultimately had no verified capability description, and the workflow recovery rate was only 18%.60% similar
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