Aachen, AI, and the Systems We Underestimate ποΈ
12 years ago, I came on a business trip to a small German town right on the border with Belgium and the Netherlands.
At the time, it was just another working dot on the map for me.
Stepping into the local cathedral, I stumbled upon the tomb of a monarch. The plaque read: Karl der GroΓe. With my German at the time, my only immediate association was "some big Karl." An unknown German king.
Yet, I remembered the history well: the Carolingian dynasty, Charles Martel, Pepin the Short, The Song of Roland. In my mind, Charlemagne was something purely French.
Standing in front of the tomb, reading the biography of "Big Karl," I felt a strange sense of dissonance. A sudden hunch prompted me to pull out my phone and search: "What is the French name for Aachen?"
The screen flashed back: Aix-la-Chapelle.
The very name I had encountered dozens of times in history books and diplomatic treaties. The puzzle pieces clicked into place with a bang. You go on a business trip to a quiet border town, only to find yourself standing in the first capital of a unified Europe.
In IT, continuous learning, and working with new technologies, the exact same thing happens.
Sometimes you start with a quick experiment- testing a small hypothesis, playing around with an AI tool, or prototyping a pet project over an evening. It feels like a brief, localized adventure.
But once you dig just a little deeper, that "small idea" becomes the gateway to a fundamental transformation. You suddenly realize you're not just looking at a handy script or a useful chat, but a paradigm shift that completely rewrites your approach to system architecture, learning, and daily engineering.
Over these 12 years, Aachen has become my ultimate reminder: the most profound systems and shifts rarely shout from their facades. They begin with curiosity, a single simple question, and the willingness to look beyond the obvious.
12 years in Aachen. Still discovering new layers- in history, code, and AI. π»β‘