thealepo/hybrid-atp

The 'hybrid-atp' project implements a standard architectural pattern in the emerging field of neuro-symbolic reasoning: using an LLM as a policy/value network to guide search (MCTS/DFS) within a formal proof assistant (Lean 4). While the approach is conceptually sound and reflects the current state-of-the-art in mathematical AI, the project has virtually no adoption (1 star, 0 forks) and zero development velocity after 200+ days. It functions as a personal research prototype or tutorial-level implementation. It faces extreme competition from well-funded frontier labs and academic consortiums. For example, NVIDIA's 'LeanDojo', Google DeepMind's 'AlphaProof', and the InternLM-Math team have already developed significantly more robust, data-rich, and high-performance versions of this exact workflow. Frontier labs see formal verification as the primary path to solving LLM hallucinations and achieving high-level reasoning, meaning they are actively building these capabilities directly into their foundation models or associated tooling. Without a unique dataset, a specialized hardware-efficient search algorithm, or massive community momentum, this project is highly susceptible to obsolescence as standard LLMs (like GPT-4o or Gemini 1.5) improve their native Lean 4 coding and reasoning capabilities.