Nonsense beats coherent prose every time. Results are from GPT, but may perhaps be an apt metaphor for our time?
@garymarcus
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LLMs vs. Neurosymbolic Approaches: A Performance Comparison
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I *think* what we are seeing here is that if you use a pure LLM breaks down but that if you add a neurosymbolic harness it can do better. but nothing is really published anymore so we don’t really know exactly what is going on.
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Essay Anticipates Security Nightmare from LLMs and Coding Agents
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and see the essay that anticipated the chaos: https://
open.substack.com/pub/garymarcus
/p/llms-coding-agents-security-nightmare?utm_campaign=post-expanded-share&utm_medium=web
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LLMs, Coding Agents, and Security Nightmare
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https://
garymarcus.substack.com/p/llms-coding-
agents-security-nightmare
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AI Agents Compromise Personal Data at Amazon and Meta
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Scoop below. Get used to this kind of story. And get used to have your personal data compromised. Amazon last week; Meta this week. Not even the biggest companies can really handle the consequences of AI agents.
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AGI from Scaling: The Most Expensive Experiment with Unpromising Results
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Not so, not at all. The most expensive experiment in history is *not* the Metaverse. It is trying to derive AGI from scaling. Far more expensive. So far the results are not promising.
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AGI Discussion: Contrasting Financial Losses with Lack of True AGI and Questioning Benchmarks
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now plot losses, which have grown even faster but anyway that is $, not AGI, of which there is nothing to plot, because there is none. (just benchmarks, which often appear to be gamed).
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Vibe Coding vs. Traditional Coding: A Skill Comparison
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Don’t use a calculator until you can do the math on your own. Don’t vibe code until you can code – and debug and maintain code – on your own. It’s that simple.
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Cognitive Offloading Perils for LLM Users
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*completely* wrong. the perils of cognitive offloading apply to all regular users of LLMs.
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LLM Performance Falls Apart on Unmemorizable Coding Benchmarks Due to Distribution Shift
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Pretty shocking result (that once again confirms what I wrote about the perils of distribution shift, 25 years ago):
— Gary Marcus (@GaryMarcus) 19 mars 2026
Translate coding benchmarks into languages LLMs can’t memorize and performance utterly falls apart. https://t.co/wu5fh57nLZPretty shocking result (that once again confirms what I wrote about the perils of distribution shift, 25 years ago): Translate coding benchmarks into languages LLMs can’t memorize and performance utterly falls apart.