Unverified50% confidenceBenchmarkExact time
在一个强化学习实验中，未设置识别虚假世界奖励时，数字生物判断自己是否处于虚拟世界的准确率仅约50%，接近随机猜测
1
Sources
50%
Confidence
Long-term
Relevance
8/9/2026
First Seen
Sources
Related Claims
Unverified当研究者让虚假世界的物理规则影响食物捕获难度后，经过10轮测试，数字生物识别虚假世界的准确率从约50%跃升至约73%77% similarUnverifiedItaSoRL实验中智能体的内部状态探测准确率仅约50%，等同于随机猜测水平64% similarUnverifiedMultiple benchmark tests in 2023 (such as the HaHackathon dataset) showed that top LLMs still have significantly lower accuracy than ordinary human annotators on sarcasm recognition tasks64% similarUnverified在机器学习多种子实验中重复次数通常只有5到10次，样本量极小，正态性假设难以验证，因此 Wilcoxon 检验往往是更保守稳健的选择62% similarUnverified泰特洛克的研究得出结论：专家预测的准确率仅略高于随机猜测，甚至不如简单的统计基准线62% similar
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