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
@garymarcus
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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. -
AI stumble predicted as ‘too big to fail’ with potential carnage
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Anyone remember how I said in January 2025 that AI was going to be stumble and be dubbed “too big to fail”, along with cries for bailouts? If that call was correct – which increasingly seems likely, as the bets escalate to insane heights – the carnage could be immense:
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Gary Marcus claims he first noted LLM fabrication before Grok
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all LLMs fabricate things, i was first to point that out in 201, before grok existed
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Confirmed again: LLMs cannot handle the truth, says Marcus
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Why LLMs rarely payoff—and what I have been saying literally for 7 years—confirmed yet again: LLMs can’t handle the truth. (Nor apparently can my critics, who keep saying I am “always wrong”, when I have been saying keeps being confirmed, over and over again.)
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Gary Marcus questions pronoun reference and investor returns in AI companies.
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In “most of the companies that invested massively in them will have massive returns:” does “them” refer to LLMs? and companies = OpenAI, Anthropic, xAI, Google, Meta etc?
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Hot take on AI companies after tokenmaxxing decline
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Hot take on what comes next, after the sudden decline of tokenmaxxing:
– OpenAI will struggle – with the decline of tokenmaxxing Anthropic will struggle (aside from this quarter) to make a profit – Google will catch up to Anthropic – some Chinese companies might, too
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We don’t owe current AI kindness, future grounded AI might
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i don’t think we owe the current generation of AI kindess, any more than we owe spreadsheets or AlphaFold kindness. it might be worth asking the question again in the future though with AI with a different architecture that was more grounded in the world, if it somehow had