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AI CLUSTERED EVENT · 10/13/2026

Jiuzhang Cloud's Yanbiao Lab Tops Terence Tao's Math Distillation Challenge with Reinforcement Learning for Lean 4 Proofs

1 reports archived1 independent sourcesupdated 10/13/2026, 12:00:00
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Yanbiao Lab from Jiuzhang Cloud achieved a perfect score across all four tracks and topped the leaderboard with 221 points in Terence Tao's Mathematics Distillation Challenge. The competition mandates verifiable Lean 4 proofs or counterexamples instead of simple answer accuracy, demonstrating the efficacy of reinforcement learning in generating formally verified mathematical reasoning and shifting AI for Science towards conceptual understanding.

LATEST/Yanbiao Lab from Jiuzhang Cloud achieved a perfect score across all four tracks and topped the leaderboard with 221 points in Terence Tao's Mathematics Distillation Challenge. The competition mandates verifiable Lean 4 proofs or counterexamples instead of simple answer accuracy, demonstrating the efficacy of reinforcement learning in generating formally verified mathematical reasoning and shifting AI for Science towards conceptual understanding.

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  1. 机器之心 (微信公众号)T2·68 pts
    • Yanbiao Lab from Jiuzhang Cloud secured first place in Terence Tao's Mathematics Distillation Challenge with a total score of 221 and perfect scores in all four tracks among 294 teams.
    • The competition requires submitting Lean 4 formal proofs or counterexamples verified by deterministic checkers, prioritizing 'verifiability' over simple 'accuracy'.
    • This result indicates that reinforcement learning can serve as infrastructure for AI for Science, shifting AI from batch problem-solving to assisting humans in deep mathematical conceptual understanding and discovery.
Jiuzhang Cloud's Yanbiao Lab Tops Terence Tao's Math Distillation Challenge with Reinforcement Learning for Lean 4 Proofs | Today for AI