DeepSeek has just introduced a cutting-edge mathematical reasoning model, DeepSeekMath-V2, which incorporates a self-verifying training framework. This model is constructed on the foundation of DeepSeek-V3.2-Exp-Base. It harnesses the power of a large language model (LLM) verifier to meticulously examine mathematical proofs. Moreover, it employs challenging samples to fine-tune and enhance its overall performance.

The model has achieved remarkable feats, securing gold medal-level results in both the IMO 2025 (International Mathematical Olympiad) and CMO 2024 (Chinese Mathematical Olympiad). Additionally, it scored an outstanding 118 out of 120 in the Putnam 2024 competition. These accomplishments underscore the viability of self-verifying reasoning pathways and pave the way for a novel approach in constructing dependable mathematical intelligence systems.

At present, the model's code and weights are freely accessible and open-sourced on both the Hugging Face and GitHub platforms. However, it is crucial to bear in mind that the market is fraught with risks, and investments should be approached with due diligence and caution. Please note that this article is not intended to serve as personalized investment advice.