数学验证正在成为 AI 推理的下一个突破口，做代码智能体或形式化验证的开发者值得关注——这可能是从“生成”到“验证”的范式转变。
Axiom Math AI 创始人兼 CEO Carina Hong 在播客中解释，数学验证可能是从代码智能体迈向 AGI 的关键。她认为，通过 Lean 等形式化证明工具，可以将推理转化为更强的奖励信号，从而扩展 AI 的“聪明”而非仅仅修复幻觉。Axiom 将市场定位为所有 AI 生成的代码，并强调未来 AI 的瓶颈可能不是生成，而是验证。该方法还能以自验证方式证明研究猜想。
🆕Scaling Past Informal AI https://t.co/eZz4ziS9yh @axiommathai founder & CEO @CarinaLHong explains...
🆕Scaling Past Informal AI latent.space/p/axiom h @axiommathai founder & CEO @CarinaLHong explains why math may be the missing path from code agents to AGI, why verified AI is about scaling brilliance not just fixing hallucinations, how Lean and formal proofs turn reasoning into a stronger reward signal, why Axiom sees the TAM as all AI-generated code, what it means to prove research conjectures in a self-verified way, and why the next bottleneck for AI may be not generation but verification. 💬 0 🔄 0 ❤️ 1 👀 146 ⚡