This is the first time in computer science I can think of where we've actually abdicated like correctness and logic to us. Like in the past, it was a resource, right? So maybe the performance is different. Maybe the availability is different. But like, whatever I put in, I'm going to get back out. But now we're like, figure out this problem for me. You talk to some devs and they're like, you know, I've never been more productive, but coding isn't fun anymore. That's one of the things that we're trying to solve for it.

It's like amazing new technology.

It feels like magic. I talked to some devs and they're like, you know, I've never been more productive, but coding isn't fun anymore.

That's one of the things that we're trying to solve for it. It's like amazing new technology. It feels like magic. Never experienced anything like this before my life. And the narrative that was spun was like, this thing will just, you know, run our lives for us. Or it's going to kill us all. Total annihilation. Like Terminator. And there's just like absolutely no danger that like this thing's going to, you know,

acquire a mind of its own and like try to reach out of the computer and kill you. If you use this every day, right, this idea that this thing could take over the world. Yeah, exactly. That narrative, I think, is largely been dispelled within our circles. But I think that it's sort of like taken on a life of its own

in other circles and it's made its way

to the halls of policy making in the US.

This is the old adage of like, you know,

do you blame it on ignorance or malice?

I honestly don't know, but it is clearly like nonsensical

and I think very much in the national interests to be still telling this story.

The United States invented the AI revolution.

We built the chips, trained the frontier models, and created the entire ecosystem.

For right now, if you're a start of building AI products, you're probably writing your code on Chinese models. Today's guest is Biangliu, one of the co-founders of Sourcegraph.

Biang is joined by A16Z's Martin Casado and Guido Abenzeller to talk about the shift he's

seeing on the front lines of software development today. Sourcegraph's coding agent, which

is hit number one on the benchmark for merged pull requests, runs on open source models.

Many of them are Chinese, not because of ideology, but because they work better for what the company needs.

Here's the tension. Beyond study machine learning under Daphne Kohler at Stanford, he spent a decade building developer tools.

He knows the technology

cold. And his view is that we're sleepwalking into a dependency problem, not because Chinese

models are dangerous, but because American policy has made it nearly impossible to compete

...