Gary Marcus:2017年后最大突破是模型加入工具和代码解释器

AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from bas...

精选理由

Gary说最大突破是模型加工具和代码解释器,像Claude Code;另有人说9年没真突破。

AI 摘要

Gary Marcus在推文中称,2017年以来除规模扩展外,最大突破是将基础模型扩展为整合工具和代码解释器的系统,例如Claude Code。João Mendonça则反驳,LLM领域已有9年没有突破,自2017年6月《Attention Is All You Need》和2017年1月应用稀疏MoE之后,架构没有质变。这场辩论的双方都承认,Claude Code是工具化系统路线的代表产品。

原文 · Gary Marcus

AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from bas...

AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from base models into larger systems that incorporate symbol/manipulating entities like harnesses, tools, and code interpreters, enabling things like Claude Code. João Mendonça @joaomendoncaaaa we haven't gotten any breakthrough in LLMs for 9 years attention is all you need: june 2017 applied sparse MoE: january 2017 🔗 View Quoted Tweet 💬 1 🔄 2 ❤️ 8 👀 2196 📊 2 ⚡

Gary Marcus:2017年后最大突破是模型加入工具和代码解释器 · AI 热点