Thank you. So let's talk about the evals. Cursor Bench, which is like a built-in benchmark that you guys have internally, which if I'm not mistaken, GROC 4.5 have had them leaked into the training weights. And you mentioned this in the model card. So that was essentially this card. It was really good at Cursor Bench and somewhat because it was trained on it. There is no mention of that in the GROC 4.6 card. So that is not the case anymore. It was cleared out. I think Lee Robson confirmed that this was the case. This GROC 4.6 and Cursor Bench is the clear winner. 69.9, obviously, because you guys trained on the data that you see from the folks who share the data with you.

I just wanted to add that this is exactly what we, the experts in evaluation always tell people. We can give you scores and everything, but in the end you have to do your own evaluation. You can use the scores to think about which models come the inner circle you are trying to really make use of. So make your own evaluations and it's easier said than done. So this is a way to actually do that. Pick your favorite models and see which one of those works the best for your specific use cases. Yeah, I think that's right.

Which if folks want to, they can do in GROC bot as well. They don't have to. It's not by default. You have to check box box. GPT 5.6 sold on the same Cursor Bench is 67. So this model like beats even so on this like benchmarks. Frontier code, which is from a competitor of yours, Devin, which is like essentially Cursor Devin doing like stuff in the cloud agents. I think they gave you a huge shout out or you gave them a huge shout out for like testing and posting this result as well. Frontier code GROC 4.6 is 61%. We had SWIX from the advisor for cognition here on the show talking about Frontier code and how difficult of a task it is and how cracked people from Devin like actually created all these tasks.