Sean Kelly

Yeah, but, like, you're right, but you should be able to talk about that with your LLM if you want to.

It's not, like, who cares?

Right, which...

it should answer that there's nothing wrong with that but like it's at the end of the day it's it still is software and it is still you know behaving based on its prompt it's it's pre-prompt yeah um so that's kind of an annoying example whereas you maybe you want to make a model that knows all the epstein stuff because people are super interested in it right and you could really only build that off of a open source model no i was trying to get one of them on the show just to hear their perspective and it wouldn't provide me any details

Yeah, that is crazy.

I think the funny thing about it is just that the definition keeps changing.

The goal post keeps moving.

So back in the day, Alan Turing was the ultimate OG for this space.

Alan Turing essentially invented computer science or formalized it at least.

And he essentially invented the concept of AI.

He wrote a paper, I believe it was his 1950 paper.

That was his super famous AI paper.

In it, he posed this concept of the Turing test, which I'm sure you've heard of.

Yeah.

Yeah.

And the whole premise was, as soon as we can have a human talk to a machine and the human can't decipher whether or not it's talking to a human or machine,

ai is like arrived and we have you know super smart agi type technology but now like we've passed that turning test obliterated yeah and people are still now like it we're still pursuing agi so the goal post keeps changing and i think the reality is just like

Artificial intelligence, it's always going to look a little bit different than human intelligence.

And we're always going to experience it just a little bit differently.

Whereas we keep trying to compare it to ourselves with this AGI concept.