Yeah, I think it is a mistake to think of a single AI winning or that there will be one sort of mother ship AI that we interact with. I think it's much more reasonable to think of this as there will be millions, like literally millions and millions of individual AIs that we interact with that will be specialized for different things. So whether that's open AI powered by Microsoft or Google with what they're coming out within the next couple weeks and months is apparently going to be amazing or whoever the big player is, I don't think it's going to be giant versus giant. I think it's going to be more foundation models that get built and then we will refine and tune and customize individual deployments. So in the same way that there's HubSpot and Salesforce as CRMs and Pipeline and all these different companies, you don't say, okay, well, there is only one winner. There's all these different companies that do it. You can say, look, this is the way it's going to be. There's going to be a whole bunch of different features, a whole bunch of different reasons that a different value prop wins in this tool versus that tool. I don't think it's going to be a winner-take-all scenario. Yeah, I would agree with that totally because not only that and therefore I would vote at even that the more the open source communities involve the better it is because you see in that moment we have right now are almost a hundred million our programmers are alone on the open platform GitHub and it's growing because the young population that comes out right now and growing out of schools and universities they are joining. So we will see very soon in let's say 10, 15 years, probably 200 million people. Therefore I agree with Scott completely. Can I add something to it? I think yeah, like in this is a really great real world like as of right now like today July of 2023, you know, one of the things like if you look at chat GPT it's better for creative writing and strategic thinking I think and creativity and then if you look at Bard, like Bard is Google's basically chat GPT version, right? There's some really really good use cases for like to the second research capabilities. Now chat GPT used to have that but they just disenabled their browser because it was going behind people's paywalls. So I think Google has got a step up on that because they have a really large collection from all the search data that they have and then there's like Claude which is Anthropics large language model that literally just got released I think was yesterday or the day before to a public beta and that that's really interesting as well because that's got there's limits to chat GPT's like language length in terms of pages of data and that has like exponentially more capacity. So kind of just to tap into like a couple of use cases that I'm seeing just across those different and then compound it with niche language models and then I think that that gives some a little more illustration what kind of Scott was talking about. Yeah and if I may Claude's a great example there of like what Claude is it's a large language model but they put really interesting guardrails on that and really tuned it in the way that's optimizing for like customer service and support and those kinds of deployments and so you look at that as a perfect example and Ryan you're right you know looking at Bard versus chat GPT that's where you're seeing flavors and companies saying this is what we want to specialize in and optimize for and I think the smart companies like Google you know they've been working on this in secret for a long long time I mean deep mind and those sort of labs that they've been doing so that when when they bring out their their next tool that I'm blanking on the internal name of it but that's going to be a product that they're really proud of and that it's going to really make waves and Thropic I think did a great job as well. I see that as the good version of what the next year and a half looks like.