Ethan Mollick· @emollick · X·· 1 天前
事实摘要
我认为,日常工作中对AI输出进行核查的担忧被过度放大了,理由是存在事实性错误的风险。 这种担忧过去确实成立,但针对较新模型的数据表明,它们在查找事实和核查论断方面已胜过人类专家,包括博士级专家。
正文 · 原文
I think there is way too much concern expressed about verification of AI output in everyday work due to a risk of factual errors.
It used to be true, but data on more recent models suggest they beat human experts, including PhD specialists, in finding facts and checking claims.
来源:Ethan Mollick · x.com