A note is taken in against one question: does it sharpen a decision that comes before the build? What explains a tool stays in the workshop. Every note leads to the questions it leaves open – the answers belong to your project.
In 1995, Mark Weiser and John Seely Brown formulated a counter-model to the attention economy – before it existed. Now, as AI interfaces compete for our attention, their principles are more relevant than ever. Technology should work at the periphery, not at the center.
AI ethics keeps producing guidelines – and changing little. Critical Theory from the Frankfurt School offers an analytical toolkit that explains why. Four missing modes of analysis.
Claude now generates interactive charts and diagrams in chat. Sounds like a feature – it's a paradigm shift. Not just for designers: data-driven communication becomes accessible to every knowledge worker. What this changes, who it overwhelms, and why design matters more now, not less.
Detailed scenario by ex-OpenAI researchers and forecasting experts: month by month from 2025 to late 2027, from reliable coding agents to superintelligence. Alignment fails progressively, geopolitics escalate. Two endings: slowdown or arms race.
OpenAI has no unique technology, no moat, and a user base with a flat engagement curve. Benedict Evans poses four fundamental strategic questions – and draws the Netscape comparison: the early mover in browsers lost because value was created elsewhere.
AI agents haven't accelerated the traditional SDLC – they've dissolved it. Sequential phases collapse into an agentic loop: state intent, provide context, observe, repeat. What remains: Context Engineering and Observability.