Karpathy's Tip: Rambling to LLMs via Voice is a Great Prompting Strategy
nptacek · x · 2026-07-22
Andrej Karpathy shares a practical pattern for working with LLMs: having a nice long ramble session.
- The Method: When you're too lazy to type out complex context, switch to voice and just ramble for about 10 minutes in total stream of consciousness. LLMs are highly capable of reconstructing these incoherent rambles and often echo your tangled thoughts much cleaner than how you started.
Another developer added that this concept is similar to why auto-injecting context from a RAG vector database is so beneficial. Even if the retrieved information isn't a perfect match, providing the model with extra bits of context significantly helps it grasp your underlying intent.
Related event: Karpathy Recommends 10-Minute Voice Rambling for LLM Context(17 posts)→
More from coding & agent
- Cursor launches Agent SDK: agents as code with Markdown prompts and TypeScript tools — soleio · 2026-10-27
- Vibecheck, the 'usable formal methods' hackathon, sells out two floors in SF — spikedoanz · 2026-10-27
- How do you verify AI agent outputs beyond unit tests and LLM-as-judge? — Practical_Green5775 · 2026-10-27
- AI agents may soon become the only way to run code, not just write it — IgorCarron · 2026-10-27
- Hermes Agent used as browser QA tester finds 8 issues in a bug-seeded site — techlatest_net · 2026-10-27
- Open-source FableCut lets AI agents edit a real video timeline via remote MCP — FastPresence9799 · 2026-10-27