look at these as like what is the future of evaluating code maintainability. Um there's a really cool one called Sweep Marathon from Abundant AI where they do like 400-hour tasks of like clone all of Microsoft Excel, every single feature. Uh and they have some sophisticated reward channel stuff. Uh Deep Sweep from Data Curve is also like large tasks on OSS repos that are not actually in the training set cuz they were never actually built in the real world. Uh and then you have Frontier Code from Cognition, um which is multi-PR tasks. They do interesting things like hey, if the model writes tests that don't fail on the pre-patch code, then it gets penalized. And then we have a judge model that says, "Okay, uh did this follow all of our code quality rules?" Um so we're getting better, but I think models judging quality can only go so far uh cuz if the new model if the model knew what good code looks like, it would probably write it in the first place.