People who say this kind of thing are completely lost about what I actually said about deep learning, and I would strongly encourage them to read “Deep learning is hitting a wall” (2022). What I said there (and in 2018 etc), completely explicitly, was that deep learning would
@garymarcus
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Gary Marcus argues Claude Code vindicates his neurosymbolic AI prediction
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dude i was not wrong; you don’t understand the arguments. what i said was that deep learning would need to be supplemented by (neuro)symbolic AI. and indeed over the last three years that’s EXACTLY what happened. Claude Code is absolute vindication of what I argued.
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Why AI will fall apart: Winner-take-all competition and similar technical solutions
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Why things will eventually fall apart: 1. Everybody, even Google, seems to be treating AI as if it were some kind of winner take all competition like web search was, in which Google taking over 95% 2. But everybody is building essentially the same technical solution with
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Did you read the paper? Deep learning needs neurosymbolic AI, a fact you seem blind to.
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again, i ask if you actually read the paper. because the main argument was that deep learning would need to be supplemented with neurosymbolic AI – which it has – and you seem blind to that part of the argument. which suggests you did not actually read the paper, as i
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Gary Marcus compares generative AI to insanity
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If “Insanity is doing the same thing over and over again and expecting different results”, what the heck is Generative AI?
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Large scale pretrained models remain important in AI
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This was right five years ago, and still is: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved with them
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Marcus and Davis 2021 insight on large pretrained models
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and see Marcus and Davis, all the way back in 2021: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved
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LLMs as bandaids: need for a sounder AI foundation
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Current AI is bandaids all the way down; LLMs can’t play nicely with basic tools like databases and knowledge graphs, and you never know what you are going to get. It’s long time to face facts: LLMs have their uses, but we need a sounder foundation for AI.
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Gary Marcus questions definitions for AlphaFold and Claude consciousness
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on what possible set of definitions?? and do you think AlphaFold is a conscious being? if how would you draw a line between that and say Claude? it doesn’t hold up to careful inspection.
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Pope’s AI Insight vs. Hinton: We’re Creating Fiction, Not Beings
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Weird how the Pope seems to understand AI better than @geoffreyhinton, but I am 100% with the Pope on this.
— Gary Marcus (@GaryMarcus) 31 mai 2026
We are NOT creating beings. The Pope is right.
We are creating interactive fiction that is trained to predict the language of actual beings.
Those two are NOT the same.… https://t.co/1xXedkXGEzWeird how the Pope seems to understand AI better than @geoffreyhinton
, but I am 100% with the Pope on this. We are NOT creating beings. The Pope is right. We are creating interactive fiction that is trained to predict the language of actual beings. Those two are NOT the same.