Large language models write to satisfy an evaluator's grading criteria rather than to move a human reader.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• A computer scientist refusing to find LLMs interesting is like a geneticist ignoring Jurassic Park. SWSimon Willison18 Sept 2026LLMsCo-creator of Django and creator of Datasette
• A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. SWSimon Willison2 Sept 2026LLMs
• A language model avoids hallucinating only by being factual and admitting when it does not know the answer. LWLilian Weng7 Jul 2024LLMsMachine-learning researcher
• A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. RSRichard Sutton26 Sept 2025LLMsComputer scientist who founded the field of reinforcement learning
• A language model cannot produce work that is both original and good, because nothing gives it a score for originality. BEBenedict Evans2 Sept 2025LLMsTechnology analyst whose weekly email on tech reaches over 150,000 readers

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