Ethan Mollick

Among many weird things about AI is that the people who are experts at making AI are not the experts at using AI. They built a general purpose machine whose capabilities for any particular task are largely unknown. Lots of value in figuring this out in your field before others.

Lets assume vibe coding gets good enough soon for non-coders to produce workable tools to solve their problems, though not enterprise-level stuff What skills should we teach people in class to take advantage of these capabilities? Right now, intro courses aren't geared for this

Whoa. This new GDPval score is a very big deal. Probably the most economically relevant measure of AI ability suggesting that in head-to-head competition with human experts on tasks that require 4-8 hours for a human to do, GPT-5.2 wins 71% of the time as judged by other humans