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Your Refactor Needs an Oracle: Characterization Tests vs. AI Diffs

AI-generated refactors fail silently. The code looks clean. The tests pass. Then a production edge case breaks. Characterization tests catch that break before it ships.

  • Characterization tests capture legacy code behavior
  • Run AI-generated refactor, re-run tests
  • Passing tests confirm safe refactor

The Hugging Face hack

That is the topic of my latest Free Press column. Some people are taking this in very dramatic fashion: One commentator is worried about a “full-blown AI takeover within months,” and another wrote…

  • Hugging Face hack raises alarm and AI takeover concerns
  • Nate Soares warns this might be last warning
  • Author advocates technocratic approach with quantified estimates

AI Operating Model: Why Scaling AI Is an Organisational Design Problem

AI adoption is getting easier. Scaling AI is not. Models are more capable. APIs are easier to access. Copilots can be deployed quickly. Teams can prototype useful workflows in days.

  • AI scaling demands structured approach known as AI operating model.
  • AI operating model governs decision-making, funding, building, adoption, improvement.
  • Balances centralized and federated approaches for consistency and agility.

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