Core Viewpoint - DeepSeek has launched a new mathematical reasoning model, DeepSeekMath-V2, which features a self-verifying training framework, marking a significant advancement in the development of reliable mathematical intelligence systems [1] Group 1: Model Development - DeepSeekMath-V2 is built on the foundation of DeepSeek-V3.2-Exp-Base and utilizes an LLM verifier to automatically review generated mathematical proofs [1] - The model continuously optimizes its performance using high-difficulty samples [1] Group 2: Performance Achievements - The model has achieved gold medal levels in both IMO2025 and CMO2024 competitions [1] - In the Putnam 2024 competition, the model scored 118 out of 120 [1] Group 3: Open Source Initiative - The model's code and weights have been open-sourced and are available on Hugging Face and GitHub platforms [1]

Core Insights - DeepSeek launched a new mathematical reasoning model, DeepSeekMath-V2, on November 27, featuring a self-verifying training framework [1] Group 1 - The model is built on DeepSeek-V3.2-Exp-Base and utilizes an LLM verifier to automatically review generated mathematical proofs [1] - DeepSeekMath-V2 continuously optimizes its performance using high-difficulty samples [1]