为什么大型语言模型（LLMs）似乎总是高估实施时间？
我有我的怀疑：他们估计人们实现某个功能所需的时间，因为他们是基于这样的数据进行训练的。我经常看到的估计时间是2周、3周或5天等。但实际上，使用Claude/GPT的代理进行实现最多只需要一两天。难道我漏掉了什么吗？还有其他人注意到这个问题吗？
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I have my suspicion: they estimate how long people would have taken to implement some feature, becasue they were trained on such data. I consistently see estimates of 2 week/3 weeks or 5 days, etc. But then implementation takes a day or 2 max using agents within Claude/GPT. Unless I am missing something? Anybody else notice this?