I'm not really trying to be snarky; I'm trying to point out to you that you're being really vague. And that when you actually get really, really concrete about what we have it ... starts to seem a little less magical than saying "computers that talk and think". Computers that are really quite good at sampling from a distribution of high-likelihood next language tokens based upon complex and long context window is still a pretty incredible thing, but it seems a little less likely to put us all out of a job in the next 10 years.
And it became and industry that as completely and totally changed the world. The world was just so analog back then.
>starts to seem a little less magical than saying "computers that talk and think"
Computer thinking will never become magical. As soon as we figure something out it becomes "oh that is just X". It is human thinking that will become less magical over time.
LLMs may be a stepping stone to AGI. It's impressive tech. But nobody's proven anything like that yet, and you're running on pure faith not facts here.
I'm enjoying the new LLM based tooling a lot, but nothing about it suggests that we're in any way near to AGI because it's very much a one trick pony so far.
When we see generative AI that updates its weights in real time (currently an intractible problem) as part of the feedback loop then things might get very interesting. Until then it's just another tool in the box. CS interns learn.
Slightly different cohorts.