From the first day, the excitement was clear. This was a debut not only for us as participants, but also for ETH Zurich Campus Heilbronn, whose team poured heart and precision into every detail. Their warmth and constant support made us feel welcome. From diverse keynotes and hands-on workshops to thoughtful activities and perfectly timed Lichtfest, the week felt thoughtfully crafted.

Each morning began with Smart Start Breakfasts, coffee, food, and short “thoughts to start the day” that nudged us to see AI as a paradigm shift in how we think. Throughout the week I learned from researchers at ETH Zürich and beyond, seeing how AI touches climate, health, language, and human–AI work. Talks from TU Berlin, TU Munich, UC Irvine, the University of Tennessee, and the Institute of Science Tokyo reshaped how I see AI’s role across fields. One lecture that truly stayed with me was Professor Torsten Hoefler’s public talk; it felt like time travel through the pivotal moments of modern technology. He argued about how we’ve moved beyond the Age of Data into the Age of Computation, and offered an angle I hadn’t considered before: that LLMs’ “hallucinations” might be seen not as flaws, but as sparks of intelligence and creativity.

Workshops with mentors from ETH Zurich, NASA, and Oak Ridge National Laboratory on foundation models turned hard ideas into tools I can use. Much of that learning happened in small teams; mine, XplorAI, included people from Kosova, Portugal, Ecuador, and China. We worked hard, laughed often, and proved that curiosity and good humor help as much as code.

On a very hot afternoon, likely the longest day of the year, we visited LVWO Weinsberg. Among the vineyards we heard how AI helps growers and cellars, from monitoring vines to tuning the process, subtly transforming even the most traditional of crafts. That mix of tradition and innovation mirrored Heilbronn itself, a city changing fast. All week we heard about Dieter Schwarz’s big support to turn the city into an AI innovation hub. It felt like watching a place build its future in real time. 

Perhaps my biggest takeaway was how deeply human this “ML&AI” week felt. We were a global mix of students, scientists, engineers, and thinkers, from all over the world united by open questions and a shared drive to explore them. I left with practical advice, clearer views of the research world, ideas that will stick, and friends. In my farewell note, I wished everyone a symbolic Dieter Schwarz to back their dreams. May readers of this piece find theirs, too.