and i did get this weird result w google, not asking about people. stochastic is as stochastic does
@garymarcus
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Mixed Results on AI Debugging Techniques
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mixed results on ai debugging https://
arxiv.org/pdf/2507.15822 -
AI Models Less Effective at Producing Verified Bug Fixes
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“Do AI Models Help Produce Verified Bug Fixes?” A lot less than you might think, mostly helping beginners, sometimes sending people off in tangents. In many cases AI-debugging actually makes things worse. new study, link below:
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Tesla Humanoid Robots Behind Schedule Through 2030
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Great news! Tesla is only a few thousand humanoid robots behind schedule for 2025. By 2030 they may behind by a few hundred thousand.
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Ontology Metaphysics and AI Risk Management Distinctions
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that’s a different question. let’s not confuse our ontology and metaphysics; i don’t that helps with responding to risk.
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Tetris Metaphor Fails: Identity Continuity in AI Systems
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This is an absurd argument, by confused metaphor. Does Tetris “come back to life” if you delete and reinstall it?
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Neural Networks Are Not Conscious Beings Geoffrey Hinton
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A neural network is not a “being”, @geoffreyhinton, any more than a Tetris app on your phone is. (Reinstall Tetris and it comes back to life!) https://t.co/qDbakkPYkN
— Gary Marcus (@GaryMarcus) 25 juillet 2025A neural network is not a “being”, @geoffreyhinton
, any more than a Tetris app on your phone is. (Reinstall Tetris and it comes back to life!) -
Symbol Manipulation Critical for AI Progress Beyond Current Limitations
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literally my critique (1998-2025) was that if you don’t add symbol-manipulation you fail in certain ways, and the systems failed in those ways. once you add in symbol-manipulation, things get more interesting, and the rate-limiting step becomes how you leverage those new tools.
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Code Interpreter: Why Neurosymbolic AI Deserves More Attention
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Code Interpreter is neurosymbolic, as @fchollet made clear a year ago. Why aren’t more people talking about that?
