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We've seen hype and critique of the significance of new AI and what it's capable of. The "truth" is tritely "somewhere in the middle".
What I feel critics and down-players miss, from what I've seen, is an awareness of the broader dynamics, the momentum the tech has, the realistic economic implications and what it means to be unprepared for tech shifts.
I also feel critics aren't those who've watched gpt decently mimic part of their job in a fraction of the time/cost.
@maegul I kinda felt the same so we had a more detailed look at the "momentum" in my company. The tech has a lower cieling than most people think. When it comes to AI being integrated into expert systems, that is impossible with the current tech, and we don't know if it can be developed towards that. Companies will only use open-source solutions for sensitive stuff also, and everyone is missing that fact.
@braincell That tracks and makes lots of sense. Thanks!
Only counter I have is that part of the momentum is that current hype means more money and more hands trying to make it "work" which raises the question of whether the ceiling or limitations can move and how quickly.
Additionally, not everyone is working in "expert systems". Plenty of work is dumb(er). Economic consequences could therefore be real. Moreover, if AI gets a foothold, a training feedback loop could further the momentum
@maegul Yeah, I agree. There are a lot of unknowns, so nobody can make very accurate predictions. If you ask different AI experts what they think can be developed, they all have different opinions, so how should we (non-experts) know. Sure there will be economic impact.