Unverified50% confidenceCautionExact time
Large models' inferences are based on probability rather than precise lookup and may give seemingly reasonable but inapplicable suggestions, so users still need to verify them through actual execution.
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Long-term
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10/13/2026
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UnverifiedThe study validates that candidate answers the model considers more probable are more persuasive, and that the effectiveness of evidence depends on whether it aligns with the model's prior inclinations.76% similarUnverified选择和使用不同模型档位时不能仅凭版本号判断，基于真实场景的多轮测试才是评估模型能力的可靠依据75% similarUnverifiedWhen the true effect cannot be directly verified, a round of A/A testing can be run on candidate causal models first, and then the model to trust can be determined based on estimation error.74% similarVerifiedBenchmarks tend to evaluate how much a model knows, rather than how much cognitive increment it can bring.74% similarUnverifiedThe benchmark uses a deterministic checker for scoring—answers are either correct or incorrect—and does not use a large model as a judge.73% similar
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