{"slug": "ramble-sessions-with-llm-s", "title": "Ramble Sessions with LLM's", "summary": "A user describes a pattern of using long, incoherent voice rambles with large language models to improve understanding and reduce corrections, noting that LLMs effectively reconstruct messy thoughts into cleaner outputs.", "body_md": "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.", "url": "https://wpnews.pro/news/ramble-sessions-with-llm-s", "canonical_source": "https://twitter.com/karpathy/status/2079610838143623371", "published_at": "2026-07-21 19:46:38+00:00", "updated_at": "2026-07-21 20:12:53.536711+00:00", "lang": "en", "topics": ["large-language-models", "ai-tools"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/ramble-sessions-with-llm-s", "markdown": "https://wpnews.pro/news/ramble-sessions-with-llm-s.md", "text": "https://wpnews.pro/news/ramble-sessions-with-llm-s.txt", "jsonld": "https://wpnews.pro/news/ramble-sessions-with-llm-s.jsonld"}}