Um learning is a a I'll sort of like half pause on that one. I think, you know, some of the biggest issues that we've seen, it's it's not that a a model by itself is is not smart or whatever. I mean, models have gotten incredi- incredibly capable over the last um year, let's say, right? But especially over the last like 6 months or so. Um but the idea of understanding, like truly understanding your environment um and the way that your services interact and where the hotspots are, keeping track of all of that sort of understanding is incredibly difficult. But it's incredibly important for any model to be successful at, you know, the task that it needs to do. It has to have an underlying sort of learning system to be able to capture that knowledge um and that sort of understanding of how your system operates. Um so we spend a lot of time thinking about how do we have systems that not just can understand your environment at any one point, but grow as as your system evolves? Because again, your system is evolving faster and faster. We need to keep up with learning about what's the current state, um what's the current sort of causal chains that we need to be sort of keeping keeping an eye on. Um and then of course all the enterprise