Jason Lampkin

We're missing something.

You know, look, there's a lot here, but I think this is so important for B2B companies.

I was at a board meeting of a B2B company with a powerful AI agent costing $100 million and just seeing some of the dumb points in this board meeting of saying, hey, guys, in 2026, we've really got to drive down inference costs now.

And I'm like, do you realize you have six mega funded competitors and a huge amount of your, like the only differentiation is who has the best agent.

Now you're going to cut back your inference.

It doesn't make sense.

Right.

And this is the point Amjad was making so many times.

I'm sure Anton from lovable has made his own version, but Amjad's always been like, no, you're, it's going to, everything's going to get more expensive because as soon as we figure out how to do this stuff, we're going to burn even more tokens.

We will actually burn an infinite amount of tokens if we can.

It even happened to Anthropic.

Right.

Right.

It happened to everybody.

And I think for a lot of a lot of folks, especially folks that aren't quite growing it at the open evidence levels today or ramp are thinking, God, I got to what am I going to do with these inference costs?

And I got to tell you, the idea that you can use cheap models and cut back on your inference and still be competitive.

That's the thing.

Still be competitive with the hot Andreessen funded company.

Like no chance you can be competitive without that inference.

It's easy to say we're going to use three orders of magnitude more inference in 24 months.