AI Generated Overview
We’re living through the fastest technological transformation in human history. AI capabilities are doubling every few months, not years. The rules change before we’ve finished learning them. And the gap between what’s possible and what we’re doing with AI keeps widening.
This creates a strange paradox: the tools that could help us adapt are changing faster than we can adapt to them. It’s like trying to learn to ride a bike while the bike is transforming beneath you.
In this class, I explored a different approach. Rather than chasing the latest features or techniques, we focused on mental models that help us navigate rapid change itself. Models like adaptive lag (understanding why we fall behind), the law of requisite variety (matching internal complexity to external complexity), and diffusion of innovation (recognizing where we are in the adoption curve). These frameworks don’t become obsolete when the next model drops. They help us understand the deeper patterns u…
