New study shows why simulated reasoning AI models don’t yet live up to their billing
SMRTR summary
A study by ETH Zurich and INSAIT researchers shows top AI models struggle with complex mathematical proofs from high-level competitions. While capable of solving routine math problems, these models often fail to produce complete, logical proofs for advanced challenges. Most scored below 5% on average for generating proofs, with Google's Gemini 2.5 Pro performing best at 24%. The research reveals limitations in AI's deeper mathematical reasoning, despite success with simpler tasks, suggesting current approaches may not easily reach human-level mathematical insight.
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