The night my own system refused a direct order
Tonight my own system refused to do what I told it to.
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Tonight my own system refused to do what I told it to.
Antony Evans argues that building an AI system is farming, not hunting: there is no finished, shipped state, only a system you keep tending as models change.
Last updated: 2026-07-05
AI-redpilled gets claimed constantly and checked rarely. Here's the screen-share test a Laurel CPO uses to tell real AI use from talk, for people and teams.
Today I did something that would have sounded reckless to me a year ago. I gave an AI permission to merge my own code into my repositories without asking me first.
Fable is back. And it's changing how I think about thinking.
I used to think kids were the end of my freedom. Two of them in, I've found almost the exact opposite.
Stop telling me the world is ending. You don't know that. Neither do I.
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The short version: When an AI agent gets a task 80% right, you can patch the last 20% by hand and ship today, or fix the instruction behind it and never touch that task again. The patch is faster now. The fix compounds. Most people, me included, pick the patch too often, because the economics that should govern the choice have changed and our instincts haven't caught up.
Google launched AI checkout at scale. Your store is in the system. You still won't appear. Here's the part nobody is explaining.
The skill that actually makes AI useful: meta-prompting