Karen Hao
👤 SpeakerAppearances Over Time
Podcast Appearances
what capabilities they want to advance.
And you know how they pick them?
It's based on which industries would be able to pay them the most money for their services.
So they pick finance, law, medicine, healthcare, commerce.
It's not actually intelligent like a baby, where the more that the baby grows up, they start having these general abilities.
Yeah, but you also have the capability to learn and acquire knowledge by yourself.
And you also have the ability to choose what you're going to learn and acquire by yourself.
And you can learn how to drive in one place and then immediately know how to drive in another place.
These models cannot do that.
Every time a self-driving car is shifted to another location, it has to completely retrain on that location.
It's like all the self-driving cars.
I mean, we're sitting in Austin right now, and there's all these self-driving cars that are driving through Austin.
Well, it's just because it's an operating system that has an AI model as part of it, and you're training the AI model, and then you deploy the AI model across all the self-driving cars.
Or it could not because they could be learning the wrong thing, which has also happened again and again with these technologies, is that all of them then learn the wrong thing and they all have the same failure mode.
I mean, part of the resilience of human society is that we do have different expertises and we also have different failure modes.
Yes, but it's once again like using this analogy that was specifically picked in the early days of the field as a way to market these technologies.
Like we're repeatedly using the intelligence analogy and relating these machines to human intelligence as a way to try and gauge whether or not it is good or worthy or capable in society.
then as far as I'm concerned, intelligence or not, it's like... Yes, but that was not the original argument that you made, which was like, these systems are just generally going to become more intelligent across different things based on the prediction.
This is a prediction that you're making, right?
And do you know what the common future of all of them is?