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  1. A global bank open-sourced its AI last month and shipped the harness, the guardrails and the governance — not a model.

  2. Stop prompting, start looping — but the loop is the easy 20%.

  3. Becoming AI-native is an ordered path you walk one pipeline at a time — tools, then teammates, then autonomy.

  4. Clearing the wall: what Phase 3 autonomy actually looks like, the regulatory gate that turns out to be the design, and the two gates that tell you when you're allowed to move.

  5. One viral stat says low-paid women are most at risk from AI.

  6. I feed an AI my diet, training and sleep every morning, and somewhere along the way it started to feel like it's the one keeping me alive — and the wry truth is the dependence runs both ways.

  7. An MCP agent on my own OAuth token only ever sees what I could see — so the access boundary is the vendor's job.

  8. Personalized medicine used to mean being rich enough to afford a doctor who knew your name.

  9. Two Papers That Puncture the Hype

    One paper shows frontier models degrade as context grows — even on trivial tasks.

  10. Anthropic let Claude run a real shop for a month.

  11. Prince says AI is coming for measurers, not builders.

  12. Principles 26–30.

  13. Principles 21–25.

  14. Principles 15–20.

  15. Principles 6–14.

  16. Principles 1–5.

  17. Practitioner consensus puts the cliff around fifteen tool calls per prompt.

  18. Anthropic's multi-agent Research feature beat single-agent Opus 4 by 90.2% — at 15× the token cost.

  19. Agents over-refactor stable code without a safety net.

  20. Karpathy named one mode.