Notes / Index
Notes.
Build notes and positions from inside the studio: what gets tested, what fails, what changes, and what leadership owes people when the machines get better.
Published: observations / tradeoffs / failures / principles. Kept private: client data / credentials / security details / proprietary implementation specifics.
AI needs receipts.
A model can move on in a second. The evidence around what happened needs to last longer than that.
We are not going back to horses.
Technology changes work. Leadership is not pretending the change can be stopped. Leadership is deciding how people move through it.
Break it before you build it.
Capsize is a decision tool for finding the assumption an idea cannot survive without, then turning that assumption into the cheapest real test you can run next.
AI should do the adapting.
A tiny model does not need to know the world. It needs to choose the next valid move while the harness supplies tools, memory, rules, and proof.
The noetic baseline.
How much does a system need to know before it knows enough to act?
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