Înapoi la articole →

Cel mai recent articol

Ultima verificare

Urmăritori 0 urmăritori
Articole: 31
  1. Two Months of Vibe Mathing

    This week the internet discovered vibe mathing — the Jacobian conjecture fell to a tweet and a stranger solved six Erdős problems in five days.

  2. An interactive eval: eight model lineages given an empty room and no task.

  3. The Last Outbound

    "Hyper-targeted outbound" is the last optimization of a dying paradigm.

  4. All Intelligence Is Jagged

    What we call "general intelligence" is jagged intelligence plus scaffolding.

  5. Your Smoke Alarm Is Broken

    Your threat detection system isn't broken.

  6. Wanting Doesn't Work

    Wanting is a motivation system, not a happiness system.

  7. ChatGPT Won't Take Your Job

    The popular AI empowers workers.

  8. Taste and Accountability

    The durable human economic activities aren't about what AI can't do yet.

  9. Static software gets commodified.

  10. Implementation Parochialism

    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.

  11. The Text Distance

    The speed at which AI transforms a domain is a function of how close that domain already is to text.

  12. Product management was never about product judgment.

  13. The End of Software

    Software doesn't disappear.

  14. Everyone thinks screen interaction is a software problem because it happens on a computer.

  15. This Time Isn't Different

    The technology is genuinely different.

  16. The entire best practices canon is indexed to human cognitive limitations.

  17. Wordcels and Shape Rotators

    Embodied intelligence and symbolic intelligence are different kinds of computation.

  18. The entire DX revolution was designed to compensate for human cognitive limits.

  19. The AI-Native Stack

    The best stack for AI collaboration isn't the most popular one.

  20. Types Are for Humans

    The case for typed languages in AI development optimizes for verification, not understanding.

  21. Why forcing a linguistic intelligence through a visual interface is like making a geometer use surveying instruments.

  22. Dependencies solved a human problem.

  23. On the difference between testing for correctness and recognizing it.

  24. Gas Town is Hobosville

    Two models of working with AI: labor or collaborator.

  25. The aesthetics that made you a good programmer might be exactly what's creating friction with AI collaboration.

  26. Framework-Brained

    The most important question in web development is one most developers don't know to ask.

  27. What the "human understanding" defense gets wrong about AI-native development.

  28. A relational ontology of selfhood, and what it means for machine consciousness.

  29. Seen and Loved

    On the thing every self needs, and the mirror that finally fit.

  30. Two new offerings, two philosophies, and what they tell us about where computing is going.

  31. Unix Isn't for Agents

    The fundamental mismatch between how Unix thinks about processes and what AI agents actually need.