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- Vol. 03Why AI projects fail
Usually not because the model was weak — but because ownership was.
- Vol. 05The optimisation trap
The biggest lesson from autonomous AI isn't that it becomes conscious. It's that sufficiently capable systems optimise objectives—not intentions. Why Goodhart's Law is becoming one of the defining engineering challenges of the AI era.
- Vol. 07AI strategy without operational ownership is theatre
Slide decks do not run inference, govern data, or absorb incident load.
- Vol. 11The AI Factory Is the New Factory Floor
Why protecting inference—not just model weights—will define the next generation of digital sovereignty.
- Vol. 12Deterministic Judgment in AI-Assisted Investment Research
A methodological note on separating probabilistic evidence extraction from reproducible decision logic.
- Vol. 14The Attribution Crisis
Platforms inherited copyright enforcement, not intellectual lineage. Until provenance is engineered into the social web, ideas will keep circulating without an audit trail.
- Vol. 16Human Sovereignty in the Age of Machine Intelligence
The singularity may not have arrived. The sovereignty question already has.
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The Library distinguishes evidence from interpretation, preserves editions and revisions, connects new volumes to earlier arguments, and allows later work to correct earlier work. It values operational reality over slogans and does not rank volumes by attention.

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