The field notes are a public working book: readings that come out of our own practice first. What does technological change do to organisations, roles and processes? Where are the openings? Which risks should we address?
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.
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.
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.
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.