@karpathy: One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to und…

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Summary

Andrej Karpathy shares a tip for working with LLMs: using voice to ramble incoherently for 10 minutes, which helps the model understand the user's intent and often produces a cleaner reformulation.

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.
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