Large language models diffuse knowledge and capabilities in a way that nudges independent people toward building the same things.

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Our reading — they may agree, disagree or merely touch the same thing.

• Because an individual is an expert in at most one thing, an LLM's broad shallow expertise lets them do things they could not do before, whereas an organisation only gets better at what it already did. AKAndrej Karpathy7 Apr 2025LLMs
  Interesting
• Because an LLM can argue almost any direction competently, the right way to use one for forming an opinion is to make it argue every side. AKAndrej Karpathy28 Mar 2026LLMs
  Interesting
• Build for the model six months from now, not the model of today. BCBoris Cherny25 Feb 2026LLMs
  Interesting
• Concerns about the energy cost of an individual LLM prompt are no longer credible, though the environmental impact of the AI datacenter buildout remains a real worry. SWSimon Willison31 Dec 2024LLMs
  Interesting
• Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do. ARArmin Ronacher17 Feb 2023LLMs
  Interesting

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