Talia Ringer: labs won't fix incomprehensible AI proofs—it earns no benchmark points
TaliaRinger · x · 2026-09-20
In an X thread, Princeton CS professor Talia Ringer argues that big AI labs have no incentive to make AI-generated math proofs more comprehensible, because readability doesn't earn benchmark points—even though mathematicians complain such proofs don't advance understanding. On whether it's tractable, she floats using a reward model judging proof clarity for post-training, while RL researcher Csaba Szepesvári counters that 'ease of exposition' has no unique scalar measure—it depends on the reader and taste.
Related event: Researchers Debate Why AI Math Proofs Remain Unreadable(3 posts)→
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