The only way the AI boom doesn’t go bust is if it takes most people’s jobs.
@garymarcus
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AI’s minimal GDP impact and burden of proof for radical change
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so far AI has done basically nothing to the GDP; burden of proof is on him to show things are likely to change radically.
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Skepticism over AI doubling GDP by 2030s
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AI is absolutely not going to double humanity’s GDP by the early 2030s.
— Gary Marcus (@GaryMarcus) 3 octobre 2026
Why do we platform these crazy claims that never come true? https://t.co/yrGkugFmGAAI is absolutely not going to double humanity’s GDP by the early 2030s. Why do we platform these crazy claims that never come true?
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AI industry refuses aviation’s regulation lesson on public trust
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one of the lessons aviation learned was that regulation is useful for gaining public trust. the AI industry refuses to learn that lesson – and then wonders why everyone hates them.
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Auditable AI reasoning needed for trustworthy scientific insights
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💯💯💯: “If AI is going to produce trustworthy and genuinely novel insights in science, medicine and beyond, we need systems whose conclusions arise from an auditable process of evidence, inference and belief revision.” It is madness to believe otherwise.
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NYC bill would require third-party validation of AI models
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🚨Potentially huge deal: @SpeakerMenin has introduced NYC legislation that would OBLIGATE third party validation of AI models.
— Gary Marcus (@GaryMarcus) 2 octobre 2026
Self-policing is not enough. Thrilled to see NYC stepping in where the federal government is doing too little. https://t.co/jljTZrH76p🚨Potentially huge deal: @SpeakerMenin has introduced NYC legislation that would OBLIGATE third party validation of AI models. Self-policing is not enough. Thrilled to see NYC stepping in where the federal government is doing too little.
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Algebraic mind, next decade in AI, deep learning wall
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read the algebraic mind, the next decade in AI, and deep learning is hitting a wall.
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GPT 5.6 delay extends beyond Anthropic
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nb OpenAI GPT 5.6 has also been delayed; it’s not just about Anthropic, anymore.
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Dark June for US generative AI: policy, Chinese models, OpenAI IPO delay
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June has been a dark month for the US generative AI industry, between hamfisted US policy and the transition to cheaper Chinese AI models. And then there is the delay of the OpenAI IPO. Is that the consensus? Do people disagree?
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AGI requires innovative ideas, not just fast code writing
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no, innovative ideas rendered into code will create AGI. we still need the ideas. (but yes writing code faster is helpful; then again the code they write tends not to be innovative)