Ethan Mollick · @emollick · X·2026-09-21 01:52·38分钟前
AI 导读

讽刺的是,如今用大语言模型跑长时间智能体任务时,最让人头疼的不是写代码、不是报错、也不是模型幻觉,而是随着任务推进,它们的语言会因漂移而变得越来越差 名字里就写着呢!写得好一点不行吗!

Ethan Mollick@emollick
32AI 编辑部评分,满分 100
2026-09-21 01:52· 38分钟前
AI 导读

讽刺的是,如今用大语言模型跑长时间智能体任务时,最让人头疼的不是写代码、不是报错、也不是模型幻觉,而是随着任务推进,它们的语言会因漂移而变得越来越差 名字里就写着呢!写得好一点不行吗!

It is ironic that the thing that is now most annoying about long-running agentic tasks with Large Language Models isn't coding or errors or hallucinations, but the fact that their language gets worse due to drift as a task goes on

Its in your the name! Just write better already!

来源:Ethan Mollick· x.com