[clbrmbr]

Hard to figure out how to innovate on education (slow to change institutions) in the face of such rapid change.

I actually feel my university education prepared me well for what’s going on. I studied a mix of theoretical comp science, physics, philosophy, and mathematics (esp calculus and number theory). Very little of what I learned is obsoleted, and especially probability theory and NLP are turning out to be very valuable to know when working with even CoPilot.

But man, I feel bad for those studying “programming” as a trade rather than computer science as a scientific / engineering discipline.

[cudgy]

Your background has no domain knowledge though. It is structured and foundational stem skills (except philosophy) which the ai’s can more easily handle.

Domain knowledge about specific industries and what is required by the software seems the more valuable skillset going forward. How does physics and computer science help with that? Communication skills and ability to learn new, more unstructured domains is likely to be more critical like those learned by strong liberal arts disciplines, for example.