No AI system has ever achieved a high success rate in these types of problems, making the achievement of solving four out of six Math Olympiad problems significant.
AlphaProof uses reinforcement learning to teach itself math problem-solving, fine-tuned with 1 million mathematics problem statements translated into Lean.
AlphaProof solved three math Olympiad problems, while AlphaGeometry 2 solved the geometry problem, showcasing the AI systems' capabilities.
The AI team utilized synthetic data due to the scarcity of training data for math-focused AI models, indicating the innovation in overcoming challenges.
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