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This week the internet discovered vibe mathing — the Jacobian conjecture fell to a tweet and a stranger solved six Erdős problems in five days.
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An interactive eval: eight model lineages given an empty room and no task.
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"Hyper-targeted outbound" is the last optimization of a dying paradigm.
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What we call "general intelligence" is jagged intelligence plus scaffolding.
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Your threat detection system isn't broken.
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Wanting is a motivation system, not a happiness system.
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The popular AI empowers workers.
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The durable human economic activities aren't about what AI can't do yet.
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Static software gets commodified.
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Both the "AI doesn't understand" and "AI doesn't have memory" critiques make the same error: treating human implementation as the definition of cognition itself.
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The speed at which AI transforms a domain is a function of how close that domain already is to text.
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Product management was never about product judgment.
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Software doesn't disappear.
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Everyone thinks screen interaction is a software problem because it happens on a computer.
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The technology is genuinely different.
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The entire best practices canon is indexed to human cognitive limitations.
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Embodied intelligence and symbolic intelligence are different kinds of computation.
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The entire DX revolution was designed to compensate for human cognitive limits.
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The best stack for AI collaboration isn't the most popular one.
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The case for typed languages in AI development optimizes for verification, not understanding.
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Why forcing a linguistic intelligence through a visual interface is like making a geometer use surveying instruments.
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Dependencies solved a human problem.
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On the difference between testing for correctness and recognizing it.
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Two models of working with AI: labor or collaborator.
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The aesthetics that made you a good programmer might be exactly what's creating friction with AI collaboration.
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The most important question in web development is one most developers don't know to ask.
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What the "human understanding" defense gets wrong about AI-native development.
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A relational ontology of selfhood, and what it means for machine consciousness.
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On the thing every self needs, and the mirror that finally fit.
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Two new offerings, two philosophies, and what they tell us about where computing is going.
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The fundamental mismatch between how Unix thinks about processes and what AI agents actually need.