Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages and highly specialized subfields.
ConclusionWhen I am exhausted from working with an LLM - it might actually be a "skill issue". I need to recognize when I'm tired and entering the doom-loop psychosis. Cognitive outsourcing of requirements is seductive, but it's a trap. If I'm not enjoying the act of writing the perfect prompt and absolutely confident I will return to a result I'm 95% happy with, I need to either take a break or ponder if I've really thought through the problem. If things are moving slow and it feels as though context is filling up too quickly - I need to make that the problem to solve. Find a path, with the help of the LLM, to iterate faster and use up less context.
，这一点在币安 binance中也有详细论述
FT Edit: Access on iOS and web。谷歌对此有专业解读
脆弱比完美更动人，真实挣扎引发共鸣在情感极性分析中，我发现一个反直觉的现象：互动量高的文章，往往不只展示成功，还展示挣扎。完美产生距离，而脆弱产生连接。在《谈谈不自律的良好生活》里，作者承认「以前靠严格节食反复反弹」，这次靠「简单缓慢的方法」才成功；在《副业淘宝小店》里，作者直言「目前我们还没回本」。这种看似祛魅的过程，恰恰建立了最强的连接。读者也是普通人，他们不需要一个完美的导师，需要一个真实的同伴。，推荐阅读移动版官网获取更多信息