people who are building this? >> Yeah, like I I think it's a really important point is to set um so I can say it like be able to take those open models, like customize them, be able to like build on top of them. And I think like all the different components are going to it, like especially from like the pre-training to mid-training to post-training, I think >> [music] >> like need to be more accessible, right? Like so more people can also like take those uh amazing models and like make them work for their specific use cases. So, I think when we started like we we also took a look at the whole stack that was out there and and tried to figure out like what is missing for ourselves to train open models and for like helping our partners to do so. And a lot of this was around the RL and post-training stack. So, we basically went deep into building out like a lot of infra around that, like around our environment, Evals, around like making it much more accessible to do post-training also because it's like the most economically viable way to maybe like customize those models, to take an open model, and um to have like a specific Eval environment, and the um specific domain and dimension that you want to improve it on. And this This of like what we're are doing with Prime Intel now, is like enabling people to post train specialized agentic models. Um so, being able to take models like um Trinity, for example, from RC or Nematron or others and and specialize them, post train them for the use cases that ultimately enterprises care about. So, good example of this was like a company like, for example, Ramp or Saber to like take an open model and like specialize it to automate finance within like a week or two to get like better performance than like Opus at a fraction of the cost of Haiku. And I think really this Pareto frontier of like being able to create these specialized models that are much better than the frontier, but also faster, cheaper. Um I think it's like a key thing enterprises care about increasingly. It's really like just making it work for their use cases,