跳到正文
原文
The Decoder· Jonathan Kemper·· 4 小时前AI 评分62

Sakana AI 与 UC Berkeley 提出 MASS:单模型自我改进,但共享盲点会累积

Sakana AI's self-improving model gets better at solving and judging, but can't catch its own blind spots

AI 导读

Sakana AI 与 UC Berkeley 提出 Multi-Agent Self-Supervision(MASS),让同一个语言模型同时承担解题、评判和优化三种角色,实现递归自我改进。

来源:The Decoder · the-decoder.com