Been doing a deep dive into all the second derivative resources that all of the new tech will need… there are a massive amount of different kinds of things that I could scarcely even begin to imagine are needed for AI, Space, Self-driving cars, robots… it seems almost infinite. Is it that the thought is that somehow AI will learn quickly enough to build its own data centers, wiring, coolant technology, etc. etc. etc. That it will be building its own robots and the software needed to program itself, designing it’s structure, engineering movements, creating its sensors and chips and all. Same with the self-driving cars and the space expeditions, and the satellites. Or, honestly, am I missing something? Maybe the thought is that that AI will achieve AGI and then immediately gain the ability to replicate its own hardware - is that realistically what the concern is? And, then build everything in the physical it needs, or maybe it won’t need infrastructure? I just truly am trying to think this through as thoroughly as possible. I’m genuinely trying to see if I’m missing a piece of the puzzle here: Is the ‘all jobs lost’ argument based on the idea that AGI will almost immediately automate all the acts of creating, building and maintaining its own hardware? I’m struggling to see how we bypass the human in the loop needed for the planning, engineering, infrastructure, power grids, and sensors that this ‘infinite’ new tech requires to even exist. Also, am trying to determine why I keep seeing posts that Google is hiring even without degree… Space X presentation the other day had a pitch to come work with them – is it that they will just be speeding up the jobs lost, since people will be training how AI how to build, launch, maintain the satellites, etc. I know I must simplifying and missing something, but why is this not possible that work will just look much different and where/how we work will also look different… submitted by /u/77thway
Originally posted by u/77thway on r/ArtificialInteligence