I think AI has great potential to change as much as the internet. But i dont consider LLMs to be the right type to do that.
Self driving cars and intelligent robotics is the real goldmine. But we still don't seem to have the right architecture or methods.
I say that because self driving cars are entirely stagnant despite the boom AI interest and resources.
Personally i think we need a major breakthrough in reinforcement learning, computer vision (which are still mostly stuck at feed forward CNNs) and few shot learning. The tranformer is a major leap, but its not enough on its own.
I'm not saying things couldn't change. I'm only looking at the landscape as it is now and imagining what would happen if the funding stops because of lack of consumer interest.
In general I do not agree that the economy is overleveraged on AI just like it is not overleveraged on cyrpto currency. If the money dries up, I don't expect economy wide layoffs.
If money dries up, a bunch of startups living on speculative assets will trip, and the s&p will fall in evaluation. But that doesn't actually affect the core economy much.
I think we're in a massive AI bubble, but its a bubble that doesn't affect normal consumers much, so it's not too dangerous or concerning.
As for my prediction of what is needed for truly useful AI automation... i suspect the current bubble will pop before we solve it.
Self driving cars and intelligent robotics is the real goldmine. But we still don't seem to have the right architecture or methods.
I say that because self driving cars are entirely stagnant despite the boom AI interest and resources.
Personally i think we need a major breakthrough in reinforcement learning, computer vision (which are still mostly stuck at feed forward CNNs) and few shot learning. The tranformer is a major leap, but its not enough on its own.