Reid Hoffman

And, you know, like all the companies you mentioned, you know, that I've been involved with from the early stages, whether it's, you know, personally, you know, LinkedIn and PayPal, or as an investor and board member, Airbnb, OpenAI, all of it has a kind of a theory of like, how does this improve

Like human life, human work, you know, quality of experience, how do we elevate ourselves, become more, you know, kind of the people we aspire to be.

Well, in one sense, my undergraduate major at Stanford was artificial intelligence.

It was called symbolic systems, but it was kind of the earliest undergraduate AI major.

But then I concluded the time wasn't right, and I went off to do other things.

And then it was discussions with...

you know, kind of a set of different people.

Demis Asavis at DeepMind, Sam Altman, Elon Musk, you know, relative to OpenAI, and some other things that, okay, actually, in fact, now is the time.

And the particular thing wasn't so much the invention of an algorithm.

A lot of the

a lot of the kind of the way, the fundamentals of the kind of algorithms that are being used for the magic of today, you know, there's been a bunch of inventions, but the fundamentals were already somewhat there.

What the transformation was, was essentially scale compute and learning machines and data to learn from.

And it was like, oh, this is going to generate magic.

Actually, none of us are quite sure exactly all the kinds of magic that will come out of it and what will happen once it's GPD-5, for example.

But we know that we're going to be able to create things that are like kind of capabilities, cognitive capabilities that have never been seen before.

And that this is like, you know, simple ways to parallel metaphors like, well, actually, in fact, every single computational device isn't going to no longer have an interface and a manual.

It's just you're going to talk to it.

Right.

You know, or everybody's going to have multiple agents and assistants for everything they're doing, whether it's.

podcasting or writing or analyzing or speaking or, you know, or comprehending.