"Aletheia produced candidate proofs completely autonomously, with expert human evaluators judging 6 of the 10 proposed solutions as 'publishable after minor revisions.'"
"This self-filtering feature was one of the key design principles of Aletheia; we view reliability as the primary bottleneck to scaling up AI assistance on research mathematics."
"OpenAI initially reported solving 6 of the 10 problems, but that estimate was later revised downward to 5 after their solution to Problem 2 was found to be logically flawed."
Google's Aletheia AI, utilizing Gemini 3 Deep Think, autonomously solved 6 of 10 novel math problems in the FirstProof challenge. This challenge featured unpublished mathematical lemmas, ensuring no prior exposure for the AI. Aletheia's solutions were evaluated by experts, with 6 deemed publishable after minor revisions. The AI's self-filtering capability prevented it from providing incorrect answers. OpenAI also participated but revised their success rate downward after identifying flaws in their solutions. Aletheia's design emphasizes reliability over raw problem-solving ability.
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