Antithesis on Dwarkesh Podcast

AI is great at writing software because it's easy to generate synthetic leak code problems and are all on them. But AI is bad at more complex engineering. Things like choosing the right system architecture. Because no signal tells you what design choices will prevent an outage months down the road. AIs can't just write more unit tests to catch this kind of stuff. And neither can humans. It's that old joke that programmers make where a tester walks into a bar and asks for two beers, negative one beers, 0.3 beers. And then a real customer walks in and asks where the bathroom is. Where's the bathroom? And the whole bar is in flames. Antithesis is a testing platform that helps you find bugs that no human or AI could ever anticipate. Antithesis does this by running thousands of copies of your software inside a fully deterministic computer. It injects faults and generally steers each trajectory towards the one in a billion failure that only happens when systems interact in a wonky way. As soon as you or your agents push a change, Antithesis tries to break it. That way you can find these bugs yourself within minutes rather than having your users discover them in production weeks or months later. And I don't think anybody's used it for AI training yet, but Antithesis also provides an extremely obvious reward signal for AIs to write very complicated bug-free code. Go to antithesis.com slash thwarkash to learn more.