Thariq：跨领域用 AI 提示词不精确是常见失败
the most common failure case I see is when people are working outside their domain of expertise and don't know how to be precise with their prompts and plans, s
AI 导读
我看到的最常见失败案例是：人们在自己专业领域之外工作时，不知道如何让提示词和计划变得精确，因此不得不花费大量轮次进行不精确的迭代。
查看原帖I think programmers kind of underestimate their vibe coding advantage versus non-programmers. I know a guy who spent 4 billion tokens to make a chess webapp.
正文
当前显示原文，中文全文译文尚未就绪。
the most common failure case I see is when people are working outside their domain of expertise and don't know how to be precise with their prompts and plans, so they have to spend a lot of turns iterating imprecisely