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Gary Marcus

Scientist · Author · Public LLM critic

  • AI Policy
  • Neurosymbolic AI
  • Author
Gary Marcus, red-ink portrait in the thehype style

Editorial bio

Gary Marcus is the most audible counterweight to the "scaling solves everything" camp. He entered Hampshire College young (BSc Cognitive Science), earned his PhD at MIT at 23 under Steven Pinker (on language acquisition), and went on to publish widely in Science, Nature and the broader cognitive-science literature. Professor Emeritus of Psychology and Neural Science at NYU; founder of Geometric Intelligence (acquired by Uber in 2016), where he briefly directed Uber AI Labs.

His books – The Algebraic Mind, Kluge, Guitar Zero (NYT bestseller), Rebooting AI (with Ernest Davis) and Taming Silicon Valley – run a consistent thesis across two decades: deep learning alone won't get to robust reasoning, hybrid neurosymbolic architectures are undervalued, and the industry is overselling what the models can actually do. He writes the Marcus on AI Substack and has testified in front of the US Senate on AI oversight.

Worth following if you want the counter-case to the AGI-is-imminent position argued with scientific receipts.

Key facts

based in
New York / NYC
current
Professor Emeritus (Psychology & Neural Science), NYU · author · publisher of Marcus on AI
prior
Founder & CEO, Geometric Intelligence (acquired by Uber, 2016); briefly directed Uber AI Labs · Founder, Robust.AI (2019)
education
BSc Cognitive Science, Hampshire College · PhD, MIT (advisor: Steven Pinker)
author
The Algebraic Mind · Kluge · Guitar Zero (NYT bestseller) · Rebooting AI (with Ernest Davis) · Taming Silicon Valley
focus
Neurosymbolic AI · LLM critique · AI safety & policy

Featured work

  1. book · MIT Press, 2024

    Taming Silicon Valley

    Case for AI regulation and against Big Tech self-governance.

  2. book

    Rebooting AI (2019, with Ernest Davis)

    Argues deep learning alone is insufficient for robust reasoning.

  3. newsletter

    Marcus on AI newsletter

    Weekly critique of LLM claims and the AI hype cycle.

  4. testimony · 2023

    US Senate testimony on AI oversight

    Alongside Sam Altman; one of the most cited policy appearances of the cycle.

  5. book

    Guitar Zero (NYT bestseller)

    On adult learning and musical skill acquisition.

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