Talks

A ten-step framework for people who use AI but don't build it: exponentials, frontiers, centaurs, prompts, creativity, code, agents, AGI, risk and the endgame. Each step builds on the one before. The examples change with every run, the steps have stayed the same.

AI as a tool that adds to human abilities instead of replacing them. For most people, the gain is in bringing AI into the work they already do, not in a career in machine learning.

How technology changes societies and development work, and why reading the patterns of that change is a skill in its own right. With examples of emerging technology aimed at the Sustainable Development Goals.

Technology looks fast and unpredictable, but it follows patterns, such as accelerating returns, future shock and unintended consequences. Knowing them helps you build more realistic scenarios. The talk also introduced the idea of technological centaurs.

What rapid technological change does to culture, autonomy and society, from social credit systems to surveillance, and how audiences can prepare for it together.