Andrej Karpathy 分享一个与 LLM 协作的实用模式:当模型需要更多信息而你懒得打字时,切换到 /voice 语音模式随意说约 10 分钟,内容可以完全不连贯。他有时会先声明是语音输入请忽略错字,有时改成几轮小型访谈。他发现 LLM 很擅长重建长篇不连贯的絮叨,回显出的思路往往比原本更清晰,从而改善与模型的理解契合、减少后续纠正。
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
来源:Andrej Karpathy · x.com