Available worldwide via Amazon (Kindle Edition)
US: $5.99
Other regions: Local Amazon pricing
Available here:
https://www.amazon.nl/dp/B0GMXLX56T
Europe is no longer only regulating AI—it is building it. Through efficiency, openness and speed, Mistral is redefining how intelligence is deployed, shifting control away from hyperscale platforms toward those who can run, adapt and apply it.
Universities are accelerating their adoption of artificial intelligence. But in that speed, something essential risks being lost. This essay argues for a deliberate pause—not as resistance, but as a condition to preserve depth, judgment and the role of friction in learning.
Engineering is no longer just about building systems, but about shaping outcomes. As AI becomes more capable, the question shifts from what we can build to what we are willing to be responsible for—and how universities prepare engineers for that reality.
Europe is not just building AI models. It is shaping a different philosophy of intelligence — one that balances speed with transparency and performance with control. Between Mistral and Aleph Alpha, a deeper question emerges: what kind of systems do we trust?
As artificial intelligence enters education, care and social work, the nature of these professions becomes clearer. Not efficiency, but presence defines them. This essay explores why human judgment, context and relationships remain essential in an increasingly system-driven world.
As artificial intelligence generates fluent text instantly, writing is no longer the same act of thinking it once was. This essay explores how language education must shift from producing sentences to interpreting meaning, authorship and responsibility in an age of generated words.
Artificial intelligence is transforming legal work, but not legal judgment. As analysis and drafting become automated, the core of law remains human—requiring interpretation, responsibility and the ability to justify decisions under conditions of uncertainty.
In digital environments, identity is increasingly shaped by design. From interfaces and avatars to algorithmic aesthetics, the self is no longer simply expressed but constructed—raising new questions about agency, authenticity and how we see ourselves.
As artificial intelligence generates answers instantly, education must shift from knowledge to judgment. This essay explores how universities should redesign curricula to focus on problem definition, critical thinking and responsibility in an age where knowing is no longer enough.
Artificial intelligence is breaking the link between effort, output and understanding. As essays and exams become less reliable signals, universities must rethink assessment—not as a measure of performance, but as a way to reveal how students actually think.
