Why do we have such vastly different perspectives on what's next for AI if we're all looking at the same data and what's actually going to happen next?

Let's talk about it with Dwar Keshe Patel, one of the leading voices on AI who's here with us in studio to cover it all.

Dwar Keshe, great to see you. Welcome back to the show.

Thanks for having me, man.

Thanks for being here. I was listening to our last episode, which we recorded last year. And we were anticipating what was going to happen with GPT5. Still no GPT5. That's right. Oh, yeah. That would have surprised me a year ago.

Definitely. And another thing that would have surprised me is we were saying that we were at a moment where we were going to figure out basically

what's going to happen with AI progress, whether the traditional method of training

LLMs was going to hit a wall or whether it wasn't. We were going to find out. We were basically

months away from knowing the answer to that. Here we are a year later. We have, everybody's

looking at the same data. Like I mentioned in the intro. Right.

We have no idea.

There are people who are saying AI, artificial general intelligence or human level intelligence

is imminent with the methods that are available today.

And there are others that are saying 20, 30, maybe longer, maybe more than 30 years until we reach it.

So let me start by asking you this.

If we're all looking at the same data, why are there such vastly different perspectives on where this goes?

I think people have different philosophies around what intelligence is.

That's part of it.

I think some people think that these models are just basically baby agey eyes already.

And they just need a couple additional little unhop legs, a little sprinkle on top.

Things like test time thinking.

So we already got that with 01 and 03 now.

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