All of my long-form thoughts on AI, programming, product development, and more, collected in chronological order.
A practical pipeline for high-quality Retrieval-Augmented Generation: remove duplicates, split semantically, fuse lexical + dense search, rerank, and measure.
If AI does most work, what does "income" become? This piece explores plausible UBI designs for an AI-heavy future - cash dividends from AI windfalls, "universal basic compute" credits, and data-as-labor royalties - grounded in what we've learned from real basic-income pilots and existing dividend models. It sketches how such systems might emerge, who funds them, and how access to powerful AI could be rationed fairly without stifling innovation.
What the EU AI Act requires in 2025–2027, how it lines up with the UK ICO's AI & Data Protection Risk Toolkit, and the exact outputs your team should ship.
Why skepticism improves ideas, why timing dominates outcomes, and why shipping many rough attempts increases your odds of a win.