Xin Huang

Agents that post-train AI revise their strategy 2% of the time

A Tsinghua, Renmin and UESTC study of 1,338 AI agent transcripts post-training language models found agents changed strategy in just 2.1% of 3,557 consecutive run pairs, even as execution gains lifted benchmark scores from 10.41% to 23.0%.