The Library

The most impressive technology was often the technology nobody had to think about.

Reliability as a public promise — and what digital systems can learn from it.

Usually not because the model was weak — but because ownership was.

Consistency beats novelty when the stakes are operational.

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.

Control, resilience, and exit options — without the slogans.

Slide decks do not run inference, govern data, or absorb incident load.

Switzerland did not wake up to a traffic crisis. It watched a foreseeable capacity problem compound for more than a decade.

The world does not lack resources. It lacks readiness. From Ebola outbreaks to cyberattacks, infrastructure failures, and AI incidents, preparedness is the real measure of sovereignty.

Why currencies derive their value from productive societies—not the other way around.

Why protecting inference—not just model weights—will define the next generation of digital sovereignty.

A methodological note on separating probabilistic evidence extraction from reproducible decision logic.

What Germany’s political-crime statistics can—and cannot—tell us about right-wing, left-wing and Islamist violence

Platforms inherited copyright enforcement, not intellectual lineage. Until provenance is engineered into the social web, ideas will keep circulating without an audit trail.

How small states should decide what to produce, stockpile, control, diversify, or deliberately buy abroad.

The singularity may not have arrived. The sovereignty question already has.

Path dependency, lock-in, and why locally rational choices quietly outsource national and organisational autonomy.

The technology didn't fail. We changed what success meant.