"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.

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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.

• The age of scaling sucked the air out of the room and left the field with more companies than ideas, by quite a bit. ISIlya Sutskever25 Nov 2025similar wording
• Large language models start in exactly the wrong place, because they try to get by without a goal and therefore without any sense of better or worse. RSRichard Sutton26 Sept 2025similar wording
• 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
• The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture. FLFei-Fei Li4 Sept 2026similar wording
• Scaling down is half of scalability: cost and capacity should track load in both directions, right down to a service that is nearly free to run. MKMartin Kleppmann22 Apr 2026similar wording

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