Modelling AI Futures

This morning at Stanford. I asked if the model will be dynamic (e.g., will we lose 20% of jobs currently driving vehicles faster than new jobs arise)? “Yes, the transients are the most ambitious part of the model” — Prof. Marco Pavone, seen here.

From the first annual Stanford Catalyst Future 10 Symposium, an interdisciplinary initiative to fund winning teams with $3m each for catalytic studies. I like this new name for what I think is the locus of meaningful innovation and potentially, the more rapid formation of new academic disciplines.