神经符号AI的胜利：Chollet定义推理时编排架构
Chollet一句话把神经符号AI说透了：推理时用大段代码调神经网络就是。Marcus狂喜：我早说了。
神经科学家Gary Marcus发推称，对神经符号AI困惑的人应读François Chollet的观点。Chollet提出，推理时运行的百万行代码"harness"，编排数千次神经网络调用，就是神经符号架构的定义。Marcus称这是对他长期主张的彻底验证，并列举了自己关于Claude Code、o3和Grok 4的文章。
anyone confused about neurosymbolic AI—and its recent enormous victory—should read this. complete and total vindication for what I have been saying here all along. (see also my essays on Claude Code and o3 and Grok 4, which made the same point) François Chollet @fchollet I would have assumed it was fairly obvious, but in case it's not: a million-line codebase (also known as a "harness"), running at inference time, orchestrating thousands of calls to a neural network for any given task, is the exact definition of a "neurosymbolic architecture" 🔗 View Quoted Tweet 💬 2 🔄 0 ❤️ 5 👀 2089 📊 2 ⚡