to me it's the other way around. this is exactly what already happened to modern AI, just on a longer timescale. people forget. we invented neural networks 70-something years ago, we started training functioning machine learning models 3 decades ago, computers started to see almost 15 years ago. every time, we said "real AI is around the corner". every time it didn't. and now... it just did?
we have systems that can converse indistinguishably from a highly educated person, they can negotiate, can see and write working code faster than engineers, they can lie, can plan, can browse the internet, trade, make medical analysis, defend a legal case
it all happened already. it's past us. no need to move the goalpost
what has still to happen is arguably the societal reckoning of having an army of PhDs in narrow contexts costing a few bucks per month (and that could very well include a bubble bursting), but we're well well underway in the capabilities ramp
My baseline case is that the AI being built right now is overrated; soon it will be a disappointment; then it will be a bubble; and, by the 2030s, it will be world-changing.
Self-driving cars are a model for this.
- In 2015, I heard autonomy was 5 years away from taking over the roads.
- In 2020, they were nowhere.
- Even in 2022, you could say they were a huge disappointment.
- Now, they're quietly a revolution.
Driverless taxi usage in CA grew 8x in one year, and Waymo is expanding to other cities.