Language models have not made misinformation meaningfully worse, because distribution, not the cost of writing convincing text, was always the limiting factor.

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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.

• Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew. RSRichard Sutton26 Sept 2025similar wording
• Language models are gullible by design — they do what they are told and believe nearly anything said to them — and that, not a bug, is what makes software built on them attackable. SWSimon Willison19 Mar 2026similar wording
• Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared. DHDavid Heinemeier Hansson26 Aug 2026similar wording
• Biology models are smaller than language models only because there is less data, not because biology is simpler. MZMark Zuckerberg10 Jun 2026similar wording
• A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. SCSean Carroll22 Apr 2024similar wording

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