Researchers have tested whether consistency can serve as a training signal for AI reasoning about philosophy, according to work shared on LessWrong. By asking language models to respond to paraphrased versions of the same philosophical questions, they measured consistency and compared it to how well models actually performed on philosophical reasoning tasks. They found a modest correlation: more capable models tend to give more consistent answers. The significance is methodological—consistency might offer a scalable way to reward AI training in areas where human evaluators disagree, addressing a major bottleneck in developing philosophically sound reasoning.

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