Jake Cooper

speaker

1,106 appearances 1 recordings 1 series first heard May 2026 last heard 20 May

Jake Cooper’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in May 2026 with 1.

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Latent Space: The AI Engineer Podcast · Railway: The Agent-Native Cloud — Jake Cooper · 20 May 2026 podcast

I think, like, so we've prioritized almost, like, Agentic as, like, a top-of-funnel thing.

And probably over the last, like, six months, we've probably deeply prioritized, like, Agentic as a mechanism to go and build and deploy things, just because we believe fundamentally, like, the...

the curve is so sheer and like that is the way that people are going to go and build and deploy software.

And it almost like fundamentally doesn't matter if it's, if like this is .com or not because we're all on the internet now anyways, right?

And so if agents are going to go and deploy a bunch of things and we hit an inference wall at some point, then like at some point we will go in and fix those problems.

But like that will be kind of the dominant species over the next like 10 years is we've moved from assembly to C to C++ to JavaScript to now like words, right?

And you're going to need to be able to close that loop

right um but that's that's where it goes you know so when you say this is.com did you mean like buying the domain or no no no no i i mean like actually just like you know they had a bunch of run-up in the dot-com era for companies because they were like the internet is really really important and then you hit kind of like bottlenecks fundamental laws of physics math didn't work all those other things and and everybody kind of like you know went back down to the earth right um but at the end of the day it didn't matter because the internet is like so so impactful for our lives that if you operate on a long enough time horizon that

you should just build these things anyways because you can see where that's going, right?

And that's where I fundamentally believe a lot of the agent stuff is, right?

And we can talk about a little bit of it later, but you're going to get to a point where you're running thousands of these agents in parallel, right?

One, what's the inference cost for that?

What's the compute cost?

How are you going to make that efficient?

All of those other things.

But two, how do you coordinate all this stuff?

We have issues coordinating humans in general, right?

We don't have a good tooling for that.

And now we're starting to figure out, oh, how do you get...

agents to coordinate?

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