It's disruption from below. It radically drops the cost of doing simple/forumlaic things, probably/possibly. But so far, to me, these are all cool amazing demo

It's disruption from below. It radically drops the cost of doing simple/forumlaic things, probably/possibly. But so far, to me, these are all cool amazing demos, but none of them at all mirror the real challenges of working significant & interesting systems. There's a real chance that means significant job loss. Maybe this is a "I never thought the leopards would eat my face" mistake, and it has some ego to it, but I personally cant imagine wanting to do any of the work these systems have done. Code tends to be kind of long journeys, iterative, and we've seen from ML what, so far to me, look mostly like boilerplate-generators and modest-tweakers. I cant imagine spending months building product with one, it being a coworker. We're in a new day, but I've been preaching a book that meant so much to me, After the Internet: Alien Intelligence (2001), which is pretty wild & course & miscellaneous & not super gripping, but sold an interesting core message to me of expert intelligences that are in their own realm. That have incredible powers, but which are unintelligble & vast & distant. Right now these coursely trained ML systems have a lot of embedded expertise, but whether they can show up again and again and become a useful ongoing part of workflow, can work with existing systems & ideas, is very much unknown & tbd. So, yes, I agree: > it will be a very long time until there is no need, or even declining need for computer science majors.