01
What Measurements Don't Show
A number comes into being under certain conditions. This series asks what is left of it when those conditions fall away.
Stories that last a little longer than the headline.
All pieces in one place. Sorted by section, open to a quick overview and long enough for a calm read.
7 articles
On Stage · 3 min read
The Demo and the Tuesday
Almost every demo of an AI system shows the same cutout: the successful run. That isn’t fraud, it’s a format. You just should know what it leaves out.01The Long View · 2 min read
Who's Actually Leading Whom?
AI is often described as a tool. The word is convenient because it leaves responsibility where it always was. In agentic systems, that no longer holds.02From Science · 5 min read
Benchmark Performance ≠ Bedside Performance
An AI model diagnoses with 87% accuracy, and it can still be dangerous in the clinic. Why study numbers don’t tell us what we want to hear, and what counts instead.03The Long View · 4 min read
Deskilling: What We Unlearn When AI Always Has an Answer
A study in Nature Human Behaviour shows: the longer people interact with AI, the stronger their cognitive biases become, and they don’t notice. What that means for research, medicine, and anyone who works with AI today.04Glass Lab · 7 min read
AI for Researchers: The Honest Guide
No hype, no panic. What AI can actually do in everyday research (literature work, data analysis, writing) and where to stop delegating before it has consequences.05From Science · 4 min read
37 Percent of AI Citations Don't Exist
Oscar works in peer review at a medical journal. What he now sees there: submissions whose references lead nowhere, author names that are wrong, titles that were pulled out of thin air. A survey of a silent crisis.06From Science · 5 min read
Validation Is No Longer Enough
A scalpel sits on a shelf until someone needs it. An AI model keeps learning, drifts, adapts, and in doing so falls through every grid built for static medical devices. Why the EU approval system has to be fundamentally rethought for adaptive AI.07Pieces working on the same question.
A section says from which perspective a piece is written. A series says what it works on. That is why some pieces appear in two series.
02
What We Unlearn
When a system takes over, the work doesn't disappear, the practice does. This series follows which skill quietly gets lost along the way.
03
Working with AI
From our own workshop and from others': what has held up in daily practice and what only works in the announcement.