not saying that nobody will lose their job (and in many cases AI is just a fig leaf). but i doubt eg we will lose 50% white collar jobs in two years.
@garymarcus
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LLMs often make illegal moves; article’s validity doubted
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LLMs often make illegal moves; i don;t know that this article held up.
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Gary Marcus criticizes neural networks and deep learning misnomers
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also “neural networks” that have almost nothing to do with actual brains, and “deep learning” that isn’t not that (conceptually) deep.
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Gary Marcus contrasts past AI science with current greed
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Disagree. Certainly there has always been hype, but not this kind of unabashed greed or indifference to social consequence. People always courted funding to be sure, but people like Minsky and McCarthy (I met both) were primarily interested in science and ideas; money was
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This poses a problem for the near-AGI narrative
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This creates problems for @Kevinroose's narrative that AGI is near.
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Marcus: AI nearing 2020 predictions but long way to go
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it’s getting closer to what i described in my 2020 article the next decade in AI, which you should read, but we still have a long way to go.
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Benchmarks are gameable and 100% is hard due to glitches
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1. some other criteria, since benchmarks can often be gamed: https://
open.substack.com/pub/garymarcus
/p/where-will-ai-be-at-the-end-of-2027?r=8tdk6&utm_medium=ios
… 2. 100% is often hard because the benchmarks themselves have glitches (eg you cant really get 100% on mnist without cheating because some items have errors) -
Paying for the infrastructure that steals your jobs and your pension
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it’s great! you can pay for the infrastructure that will eventually take your jobs!
— Gary Marcus (@GaryMarcus) 25 mai 2026
and if it fails and the bubble bursts? you can bail the hyperscalers out, and watch your pension fund die. https://t.co/YNDKsVditpThat's great! You can pay for the infrastructure that will eventually take your jobs! And if it fails and the bubble bursts? You can bail out the hyperscalers, and watch your pension fund die.
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Deep passage on physics: LLMs any world, humans our world, and Chomsky
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this bit on physics is deep and actually resonates with the fact that LLMs are equally comfortable learning any world, whereas humans are built for our world.
— Gary Marcus (@GaryMarcus) 25 mai 2026
See also Chomsky’s 2023 conversation with me Web Summit on YouTube. https://t.co/56dkrTORf5This passage on physics is profound and really resonates with the fact that LLMs are just as comfortable learning any world, while humans are designed for our world. See also the conversation of Chomsky with me in 2023 at Web Summit on