The conjecture that natural-language-trained large language models cannot reliably reason at professional mathematics
The conjecture that natural-language-trained large language models cannot reliably reason at professional mathematics
Large language models (LLMs) are systems trained to generate text from natural-language data. Natural-language reasoning conjecture. Large language models (LLMs) trained on natural language alone will not reason reliably at the level of professional mathematics. This motivates training AI systems on formal mathematical data and integrating them with interactive theorem provers; the source gives a counterpoint that some groups are actively working to disprove the claim, so its resolution remains open.
Sources & referencesView supporting material
Primary source
Alex Kontorovich, “Notes on a Path to AI Assistance in Mathematical Reasoning”, arXiv:2310.02896 (2023).
Progress summary
Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.
Solutions 0
Sign in to submit a solution.
No solutions have been posted yet.