Core Insights - DeepSeek has launched its new model, DeepSeekMath-V2, which has won the IMO 2025 gold medal, showcasing capabilities that rival or even surpass Google's IMO gold medal model [1][3][22] - This is the first open-source IMO gold medal model, marking a significant advancement in AI [1][24] Model Performance - DeepSeekMath-V2 demonstrated strong theorem-proving abilities, solving 5 out of 6 problems in the IMO 2025, achieving a gold medal level [3][4] - In the CMO 2024, it also reached gold medal status, and in the Putnam 2024, it scored 118 out of 120, surpassing the highest human score of 90 [3][4] Comparison with Competitors - DeepSeekMath-V2 outperformed Google's Gemini Deep Think in the ProofBench-Basic tests and closely followed it in the ProofBench-Advanced tests [5][22] - The model's performance indicates a significant leap in capabilities compared to existing models like OpenAI's GPT-5 and Gemini 2.5-Pro [26][28] Self-Verification Mechanism - A key breakthrough of DeepSeekMath-V2 is its self-verification capability, allowing it to self-assess and improve its proofs [12][36] - The model employs a unique "three-in-one" system consisting of a Generator, Verifier, and Meta-Verifier to enhance its proof quality [15][16] Training Methodology - The training process involved a high-compute search strategy, generating numerous candidate proofs and validating them rigorously [32][35] - The model's ability to self-correct and refine its proofs through multiple iterations significantly improved its performance [38] Implications for AI Development - The success of DeepSeekMath-V2 suggests a shift in AI from merely mimicking human responses to emulating human thought processes, emphasizing the importance of self-reflection in achieving advanced AI [36][37]