Jason Calacanis

So now we have Google covertly installing this on everybody's operating system.

Hold on, hold on.

Covert's a strong word.

So let's not use that word.

Without telling people, without giving people a heads up.

Let's say it in a way that we can both agree.

We're in the phase now where I think breathlessly talking about every model improvement is a waste of time.

There's no ROI in it.

We are on a path of accelerated learning, and we're gonna start to see end user achievements that were heretofore impossible, that should be the focus.

So for example, we were able to solve, I'm just collectively saying we, in this case it was specifically OpenAI,

by the use of a human, and this is important, you know, a math problem that stood outstanding, not been solved for decades and decades.

I can tell you in a different example, there are drug candidates that are about to enter clinical trials and INDs that were sitting on the shelf and people didn't think were very viable at all.

So we're at the phase now where these things are front and center, they're useful to people, they're increasingly valuable,

I think what we should do now is focus on these end user use cases.

Because the way that you say it, in my opinion, is part of the problem, because it starts to create this boogeyman us versus them thing.

And I'm not saying you're doing it on purpose.

But I'm saying, this is exactly why I think

So many people are becoming sort of like, it's a four letter word now when you mention AI, because it's presented as this thing.

And I think we have to present the other side of it, at least so that people have the data.

So I don't think Google's in the business of doing or shady things.