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Anti-AIPerson

Gary Marcus

Cognitive Scientist & Author

Cognitive scientist, author of Taming Silicon Valley, and the media’s go-to AI skeptic — he testified to the U.S. Senate that we have built “bulls in a china shop.”

In his words

We have built machines that are like bulls in a china shop — powerful, reckless, and difficult to control.
U.S. Senate testimony, 2023
The choices we make now will have lasting effects for decades, maybe even centuries.
U.S. Senate testimony, 2023

Biography

Gary Marcus (born 1970) is an American cognitive scientist, professor emeritus at NYU, and serial author-entrepreneur: he founded the machine-learning startup Geometric Intelligence, acquired by Uber in 2016, and wrote Rebooting AI (2019) and Taming Silicon Valley (2024). Trained under Steven Pinker, he has spent two decades arguing that pure neural networks are a dead end without symbolic reasoning — a position that made him deep learning’s in-house heckler long before ChatGPT.

Skeptic-in-chief

When generative AI exploded, Marcus became the press corps’ default counterweight — cataloguing hallucinations, debunking capability claims, and predicting on his widely read Substack that scaling alone would hit a wall. In May 2023 he testified before the Senate Judiciary subcommittee alongside Sam Altman, warning that “democracy itself is threatened” by machine-generated persuasion and calling for an FDA-style agency that would make AI developers prove safety before deployment.

Crucially, Marcus is not against artificial intelligence — he is against the current recipe for it. He argues large language models are unreliable, ungrounded, and overhyped, and that trustworthy AI will require hybrid, neurosymbolic approaches plus real regulation. This has earned him fire from both directions: boosters call him a perpetual naysayer who moves goalposts as models improve, while some critics of the industry find him too invested in AI succeeding at all.

His refrain — that we are deploying systems we do not understand into infrastructure we cannot afford to break — has proven durable, even as the systems themselves keep outrunning his more specific predictions.

Where they stand in the war

Sources & further reading

Canonical record: https://battlelines.ai/topic/gary-marcus