John Coogan

Obviously, some people have flawless experiences.

Some people probably still run into problems every once in a while.

That's going to happen.

But a really good turning of the tide, really good different way to interact with the developer community.

I'm interested to know, how big do you have to be to go multi-platform now?

Do you have to be one of the trillion dollar labs or are there smaller companies that say, hey, we have this model that we're fine tuning, it's pretty good, it's built on some open source architecture and we'd like the flexibility to not be locked into one chip, but is that a million dollar,

like a year of 10 researchers' time?

How are we bucketing this idea of diversifying the options for a company?

Yep, we've had him on the show.

Yeah.

A lot of times people sort of put AI as like a monolith.

And I mean, we were talking yesterday about how just in the customer support, we're talking about Brett Taylor at Sierra, just in the customer support world, you know, speed might not matter for

agentically going and solving a problem in the back end after a customer support ticket closed, but if you're on the phone with someone and you need a real-time voice model, it might actually make sense to co-locate that or distribute that.

We talked to Matthew Prince from Cloudflare about this,

There are certain models that need to be in certain places.

Speed might be more important.

Others, it's just raw horsepower.

It's going to take an hour anyway.

Send it off to the big data center.

But I'm interested in the other pockets, like where is AMD