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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…

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

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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 need to be supplemented by neurosymbolic AI. And that is EXACTLY what happened. Claude Code, for example, is absolute vindication of what I argued. So are code interpreters, tool use, symbolic harnesses, etc. (If you don’t understand that, you don’t understand the first thing about AI architecture, and are simply betraying your own ignorance.) @GaryMarcus @SenJohnKennedy Being wrong about deep learning for a decade is apparently great prep for shaping AI policy. The forecasters with the worst track records always push for the most restrictions.

Source: Gary Marcus (X) | 2026-06-02

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