Trend Tuesday: Why AI Skill Installations Deserve Caution
Before you consume something powerful, you check what’s inside. AI skills are a recent invention. And marketplaces to share and reuse skills formed almost immediately…
Theory Thursday: Energy Efficiency as an Innovation Driver ✅
Today’s AI is energy-intensive. I get many questions about it. And it is true: today’s AI is largely a brute-force approach…
Workflow Wednesday: Circuit Breakers for Agentic AI
Remember the market drop on May 6th, 2010? The Dow Jones lost 560 points in four minutes. Perceived risk spiked, market participants pulled out, and a stampede followed, temporarily annihilating roughly one trillion dollars in market value…
Trend Tuesday: Minecraft, an AI lab for muscle memory
Remember when you played Minecraft for the first time? Building in 3D felt simple and endless. I assume few would have guessed that this game would become a serious training and evaluation ground for AI agents…
Theory Thursday: LLMs use scratchbooks, too
Chances are, you started the year with good resolutions. I applaud you. And maybe you acquired a scratchbook to journal your journey…
Workflow Wednesday: A Fireworks Way to Understand Data
Remember when you were a child on Silvester and were allowed to light a small firework for the first time? Chances are you were in awe, a little scared, and fascinated by the light at the same time. You kept your distance, careful about the splinters - and drawn to it…
Trend Tuesday: Teaching AI Skills Changes Collaboration
Remember how you learned to ride a bike? With the help of your parents or a friend, you acquired a skill through repetition and feedback (well, falling, actually ;). Skills are also the AI trend this week…
Theory Thursday: How to Build Your Own Specialised LLM
Most of us use ready-made LLMs - they’re reliable, versatile and tested. But sometimes, you need to train your own. Andrej Karpathy’s llm.c shows how to train a small model on sequences, like lines from Shakespeare, by turning each word into a number and learning which comes next…
Workflow Wednesday: The Power of Small Working Examples
When ants search for food, they try paths, explore, and when they find something, they let the others know. A simple tactic. If you’ve ever had ants in your kitchen, you know how effective it is…
Trend Tuesday: OCR: Still Full of Surprises
“Optical character recognition (OCR) is a solved problem.” That’s a common conviction in the industry: it is often treated as a mature technology. A commodity we can stop worrying about…
Theory Thursday: Multisperspectivity: The Importance of Holding Contradictions
Is today’s AI imperfect? Yes. Should we ignore it…
Book The Modern AI and Data Platform: The Why, The What, and The How
After months of writing, editing, and refining … my upcoming book The Modern AI and Data Platform is almost here. It’s a collection of 42 short, fun-to-read chapters capturing everything we’ve learned about building powerful, future-proof platforms that create real value from data and AI, including the human side: culture, collaboration, and clarity. The book is structured in three parts: why AI belongs at the core, what defines a modern architecture, and how to turn principles into practice…
Theory Thursday: From Molecules to Markets: Nobel Prizes and the Spirit of Discovery
Science is amazing. For example, it creates AI systems. This month, the Nobel committee has announced the winners of this year…
Workflow Wednesday: People, Skills, and Culture
When you open a mechanical watch, the first thing you notice is motion: dozens of moving parts. A marvel of alignment. Gears, springs, and jewels in perfect interplay…
Trend Tuesday: Turns Out, Reality Has Better Training Data
Much has been said about AI running out of text - “the internet has been read.” Maybe true, and irrelevant. Because the AI actually learns from patterns…
Theory Thursday: Exponential Growth
Do you remember the trick question: water lilies that double every day. Now the lake is half covered. When will it be fully covered…
Workflow Wednesday: From Questions to Data to AI Impact 🕵️♂️
AI without the right data is like a detective chasing the wrong lead. You look busy, but you won’t solve the case. The data model is the case board on the wall, the evidence map that guides every move…
Trend Tuesday The Paradox of AI-Driven Acceleration
Fast food feels great in the moment: hot, salty French fries land on your tray within seconds. What looks good and tempting often leaves you disappointed and with little lasting value. Using AI can feel similar…
Theory Thursday Why language models hallucinate
A Fata Morgana can be a pretty mirage. And for the thirsty traveler, a deadly trap: the shimmer looks like salvation but turns out to be an illusion all along. Hallucinations in LLMs carry similar risks…
Workflow Wednesday: ⚙️ Cut Artificial Complexity Like Michelangelo
Inherent complexity is the difficulty in the business problem; artificial complexity is the extra friction we add through design and org choices. Think Michelangelo: the figure is “already in the marble,” and the work is to remove what is not essential. When integrating AI into real workflows, we address business problems…