How to think in the age of answers

I recently did an online salon with Douglas Rushkoff and others for Andus Labs. Here is the AI summary they provided.

AI is a know-how problem before it is a technology problem. Rheingold builds the point on Doug Engelbart’s 1962 framework, which described human capability as the product of four things working together: language, artifacts, methodology, and training. The artifacts have advanced far beyond what Engelbart could demonstrate. The methodology and training have barely moved. We have extraordinary tools and almost no shared practice for using them well, and the distance between the two is where most of the trouble lives.