AI Basics
Understand how today's AI models really work, and where they fall short. Learn to use them with judgment instead of blind trust. Learn from industry experts and put it into practice in our AI City Quest mini-game. The essential starting point for anyone new to working professionally with AI.
AI Skills
Go from user to builder, step by step. Learn the practical skills that set you apart: coding with AI, using tools through MCPs, and designing workflows that automate real tasks. Build from your first prompt to complete AI systems in professional work environments.
THINKBEYONDAI
The best professionals of the next decade won't ignore AI, and they won't trust it blindly either. They will be the ones who define what counts as correct in their field, not in spite of automation but through it.
ThinkBeyondAI exists to support exactly that: understanding how these systems work and recognizing where they fail, so that you remain the standard AI is measured against rather than the one it overtakes.
We study how AI is reshaping professional work and what it means for institutions whose authority rests on human judgment. And we go beyond theory: we show how the tools are used in everyday practice and create learning materials for teams and individuals.
Our work grows out of an international collaboration between students, professors and practitioners. Students bring the questions their future professions have stopped asking. Professors bring methodological rigor. Practitioners bring the reality of everyday work.
Think beyond the forecast.
Featured posts
A Bain partner on where AI has already changed consulting work, which roles it creates, and what he now expects from applicants.
by Carl Erhard, Sep 18, 2026
A field study of a service robot in a campus store found that perceived usefulness and the robot's way of speaking shaped acceptance. That transfers to prompting.
by Carl Erhard, Sep 18, 2026
Bain's consultants have built more than 19,000 custom GPTs, and in the UK the firm says it will hire 25 percent more graduates, not fewer.
by Carl Erhard, Sep 18, 2026
Push a model past a perfect fit on its training data and test error starts falling again. Double descent, and what it did to learning theory.
by Tom Buchholz, Sep 16, 2026
A language model puts a probability on every possible next word, picks one, and runs the calculation again. Everything else follows from that loop.
by Emil Ohligs, Sep 16, 2026
A KKR managing director on where AI lands in a private equity firm, what the deal market looks like, and how to get noticed when applying.
by Emil Ohligs, Sep 16, 2026
Latest posts
(80 Posts)
Credit scoring is named as high-risk in the AI Act itself. What the law demands of a lender, and which rulebooks apply at the same time.
by Emil Ohligs, Sep 16, 2026
Self-attention weighs every token at once, a convolution slides across pixels. Why one system writes a summary and another spots a tumor.
by Emil Ohligs, Sep 16, 2026
One prompt cannot be creative, skeptical and precise at once. Splitting the work across defined agents is a process decision, not a tooling one.
by Emil Ohligs, Sep 16, 2026
Correct the labels in ImageNet and ResNet-18 overtakes ResNet-50. Benchmarks are treated as ground truth and almost never audited.
by Emil Ohligs, Sep 16, 2026
Anfang August 2026 passiert etwas, das viele Unternehmen noch nicht auf dem Radar haben: Die nationalen Marktüberwachungsbehörden beginnen mit der Durchsetzung von Artikel 4 der EU-KI-Verordnung. Die Verordnung nennt den 2. August, das Q&A der Kommission den Folgetag. Die Pflicht selbst ist nicht neu, sie gilt
by Carl Erhard, Jul 07, 2026
GPT-4 hat mehr Parameter als die Menschheit Bücher geschrieben hat. Laut klassischer Statistik müsste ein solches Modell bei neuen Daten katastrophal versagen. Stattdessen funktioniert es außergewöhnlich gut. Dieser Artikel erklärt, warum. Das zerbrochene Gesetz: Wenn das Lehrbuch schweigt Stell dir vor, du baust ein Haus mit hundertmal mehr Säulen,
by Tom Buchholz, Jul 07, 2026