it’s also partly an issue of time frame. i don’t particularly buy into a magic moment of singularity but I think AI will some day be robust to carry its own freight, in a domain general way. just not soon.
@garymarcus
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Gary Marcus: LLMs useful but long road ahead per 2020 article
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LLMs are useful but we still have a long way to go. See my 2020 article The Next Decade in Arxiv, which remains a good guide to the future and offers a road map that the companies are increasingly following (without really saying so out loud).
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Gary Marcus explains why NSAI is insufficient in 2020 article
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read my 2020 Next Decade in AI for why I don’t believe NSAI is sufficient.
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Gary Marcus argues transformers alone insufficient for AGI
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No. Not by itself. Sergey Brin is absolutely wrong. Transformers by themselves are not “sufficient” for AGI.
— Gary Marcus (@GaryMarcus) 8 juin 2026
Nobody uses transformers on their own anymore. Everybody is supplementing them tools and harnesses and other aspects of architecture from (neuro)symbolic AI.… https://t.co/zAfdPwJVH3No. Not by itself. Sergey Brin is absolutely wrong. Transformers by themselves are not “sufficient” for AGI. Nobody uses transformers on their own anymore. Everybody is supplementing them tools and harnesses and other aspects of architecture from (neuro)symbolic AI.
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Gary Marcus challenges Hinton on radiologists, memorization, consciousness
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I will start to take Geoff Hinton seriously again (I used to and don’t anymore) when
— Gary Marcus (@GaryMarcus) 8 juin 2026
– radiologists actually start losing jobs
– he acknowledges that LLMs do sometimes effectively memorize things
– he stops over-attributing consciousness to algorithms or at least addresses the… https://t.co/5bKA4zJlTrI will start to take Geoff Hinton seriously again (I used to and don’t anymore) when – radiologists actually start losing jobs
– he acknowledges that LLMs do sometimes effectively memorize things
– he stops over-attributing consciousness to algorithms or at least addresses the -
Gary Marcus: AI investors bad at math or blind to risk
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further evidence that people shoveling money into AI are either bad at math or blind to risk
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Gary Marcus: Not close to RSI despite Anthropic’s hints
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tl;dr: we aren’t close to RSI, regardless of the hints IPO-bound Anthropic tried to drop last week.
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Lack of useful tasks for 330,000 H100s questions scaling hypothesis
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fair point that the contracts aren’t long term, but it still doesn’t speak well for their confidence in their original scaling hypothesis if they can’t find something useful to do with 330,000 H100s.
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SpaceX/xAI gives up frontier model race by arming competitors
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Whether SpaceX/ Xai is making money on the deals with Google and Anthropic or losing money, they are waving the towel on winning the frontier model race— by arming their competitors rather than themselves.
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Seismic shift: Mistral benefits as US AI trust declines
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Seismic shift It’s a good day to be Mistral. Nobody is going to trust an American AI company that is partly owned by the US Government. Just the way the US doesn’t trust Huawei. After this meeting, everything is going to change. I don’t think either Washington or