IT之家 · 智能时代T2·68 pts
- Rapid AI answers risk eroding human understanding of reasoning processes, creating dangerous 'black box' dependencies.
- In non-pure-math fields like power grids and drug discovery, AI may satisfy surface metrics while deviating from real-world constraints.
- Proposes 'Math 2.0', arguing AI should enhance rather than replace human understanding, requiring incentive changes to prioritize verification.