AI From Silicon to Intelligence: Understanding the Hardware Behind AI A short video about NPUs and TPUs led to a deeper look at the physical side of AI. From the Neural Engine in your iPhone to the massive processors powering data-centre models.
AI Flying Blind: Measuring Traffic When Your Readers Are Machines As readers move into ChatGPT, Perplexity and Google’s AI Overviews, we lose sight of them. Can Cloudflare and Plausible help us measure what’s missing?
Tools When Rules Learn to Think: Discovering Google Workspace Flows A small ‘Flows’ button in Gmail opened a new chapter in how we automate our work. What began as simple rules now behaves like intelligent agents. Powered by Gemini, Google’s expanding AI layer for Workspace and beyond.
AI Compute: A New Measure of the World Compute once meant calculation. Now it shapes work, art, and power. An invisible current running through the modern world’s every action.
Future of Work Reskilling the Mind: Europe’s Next Transition No one truly knows what lies ahead. We can sense that work is changing, that the ground beneath knowledge and skill is moving, but the direction is still uncertain. This article is an exploration, a way to think aloud about what reskilling could mean for Europe when intelligence, both human and art
AI Elections and AI Two reports on AI and politics sparked debate in the Netherlands. Beyond the headlines lies a deeper unease: how do we live with technologies that not only reflect language but act within it?
AI From Free to Paid: Choosing the Right AI Model (with a European Lens) Building on Ethan Mollick’s excellent ‘Opinionated Guide to Using AI Right Now’, this article explores how to choose between the leading AI systems. And what a European perspective adds when moving from free to paid use.
AI When Research Turns Into Action: Understanding Deep Research vs. Agent Mode in ChatGPT Both modes inside ChatGPT seem to “think”, yet one begins to “do”. Exploring the quiet shift from analysis to operation in everyday AI tools.
Content When Bots Become Readers: Publishing in the Age of AI Crawlers Listening to Matthew Prince on Azim Azhar’s podcast made me reflect on who actually reads my blog. People (like you), machines, or both.
Tools When AI Makes the Calendar Click A hotel booking, a single prompt, and a small glimpse of how AI quietly starts to understand our everyday tools.
Tools Tracing and Telling: From GPX Tracks to KML Stories GPX shows where you went. KML explains what it means. With Komoot and AI, maps become not just navigation tools but narratives.
AI From Hype to Workflows: Where AI’s Real Shift is Happening We expected AI to change everything overnight. Instead, progress is hidden in pilots and processes. The sinkhole is forming beneath us.
Future of Work AI’s Impact on Work, People, and Labour Law AI drives growth and efficiency, but also reshapes rights, rules, and daily work. A look at the double effect of AI on organisations and labour law.
AI Oracle’s Surprise Role in the AI Economy Oracle’s return to AI relevance shows how capital is flowing upstream. From apps to infrastructure. Training fits their strengths, inference remains a question.
Sovereignty From Sand to Software: A Whistle-Stop Tour of the AI Value Chain AI may look like pure software, but it rests on a fragile chain of quartz, optics, fabs, and GPUs. This post traces the journey, stop by stop.
AI Why I Keep Mixing Up Hortensia, Hibiscus and Rhododendron A mix-up of flower names becomes a window into how human memory works and how it contrasts with AI models.
Tools From Ideas to Precision: Why I Use Mermaid with LLMs Image generation is messy for structure. With Mermaid + LLMs, diagrams become clear, tweakable, and practical. A real tool for strategy and logic.
AI Chrome, Gemini Nano, and the Browser as AI Platform The AI race is moving into the browser. Experiments with local models helped me recognise Chrome’s Gemini Nano for what it is.
AI AI Fine-Tuning for Non-Engineers Compact AI models make fine-tuning possible for non-engineers. I tried it myself and learned how AI becomes portable, local and real.
AI Running GPT-OSS Locally: What OpenAI Just Made Possible (And What It Didn't) OpenAI released GPT‑OSS under an open licence. Here's what that really means, how I ran it on a Mac mini, and where you might start experimenting too.
AI Model Cards, System Cards and What They’re Quietly Becoming What are AI model cards, and why are they becoming the documents regulators will turn to first? I read a few and it taught me more than I expected.
AI From Benchmarks to Evals: How We Measure AI and Why It Matters Benchmarks score models. Evals test them in real workflows. This is your guide to understanding how we measure and trust AI performance today.
AI From API Users to Embedded Agents: How Systems Are Becoming Smarter From Within From passive APIs to embedded agents: systems now host autonomous, AI‑powered modules that live inside and act proactively rather than wait for calls.
AI Running a Local LLM on Your iPhone I explored how far mobile AI has come by running LLMs directly on my iPhone. No cloud, no upload. Here’s what I learned from testing Haplo AI.
AI When to Structure, When to Listen Standardisation helps machines, but messiness is often human. This post explores when it’s wiser to build better tools than to force better inputs.
