Andrej Karpathy on X: "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 minu
Quick Answer
Andrej Karpathy suggests using long ramble sessions with LLMs to enhance understanding, as they can reconstruct incoherent thoughts into clearer outputs.
Quick Take
This method helps articulate the 'why' behind decisions, which is often overlooked in typical interactions.
Key Points
- Ramble sessions allow to better understand user intentions.
- Voice input can capture more nuanced thoughts than typing.
- Karpathy emphasizes the importance of explaining the 'why' in discussions.
- LLMs can clean up incoherent thoughts into coherent responses.
- Switching to speech recognition can improve interaction quality.
Article Excerpt
From source RSS / original summaryOne pattern I find useful for working with 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... ".
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. Agree that most people say the what but omit the why The why is concretely useful for tie-breaking decisions during implementation Rambles and interviews are
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