Sam Schillace: prediction

Transcript context

…What should, how should the outsider or the AI engineer just as a sort of final word, like, How should they view the Microsoft portfolio things? I know you're not here to be a salesman, but What, how do you explain You know, Microsoft's AI work to people. There's a lot of stuff going on. Like, first of all, like, I should, I'll be a little tiny bit of a salesman for, like, two seconds and just point out that, like, one of the things we have is the Microsoft for Startups Founders Hub. So, like, you can get, like, Azure credits and stuff from us. Like, up to, like, 150 grand, I think, over four years. So, like, it's actually pretty easy to get. Credit you can start, I 500 bucks to start or something with very little other than just an idea. So like there's, that's pretty cool. Like, I like Microsoft is very much all in on AI at, at many levels. And so like that, you mentioned, you mentioned Autogen, like, So I sit in the office of the CTO, Microsoft Research sits under him, under the office of the CTO as well. So the Autogen group came out of somebody in MSR, like in that group. So like there's sort of. The spectrum of very researchy things going on in research, where we're doing things like Phi, which is the small language model efficiency exploration that's really, really interesting. Lots of very technical folks there that are building different kinds of models. And then there's like, groups like my group that are kind of a little bit in the middle that straddle product and, and, and research and kind of have a foot in both worlds and are trying to kind of be a bridge into the product world. And then there's like a whole bunch of stuff on the product side of things. So there's. All the Azure OpenAI stuff, and then there's all the stuff that's in Office and Windows. And I, so I think, like, the way, I don't know, the way to think about Microsoft is we're just powering AI at every level we can, and making it as accessible as we can to both end users and developers. There's this really nice research arm at one end of that spectrum that's really driving the cutting edge. The fee stuff is really amazing. It broke the chinchella curves. Right, like we didn't, that's the textbooks are all you need paper, and it's still kind of controversial, but like that was really a surprising result that came out of MSR. And so like I think Microsoft is both being a thought leader on one end, on the other end with all the Azure OpenAI, all the Azure tooling that we have, like very much a developer centric, kind of the tinkerer's paradise that Microsoft always was. It's like a great place to come and consume all these things. There's really amazing stuff ideas that we've had, like these very rich, long running, rag based chatbots that we didn't talk about that are like now possible to just go build with Azure AI Studio for yourself. You can build and deploy like a chatbot that's trained on your data specifically, like very easily and things like that. that are like now possible to just go build with Azure AI Studio for yourself. You can build and deploy like a chatbot that's trained on your data specifically, like very easily and things like that. So like there's that end of things. And then there's all this stuff that's in Office, where like, you could just like use the copilots both in Bing, but also just like daily your daily work. So like, it's just kind of everywhere at this point, like everyone in the company thinks about it all the time. There's like no single answer to that question. That was way more salesy than I thought I was capable of, but like, that is actually the genuine truth. Like, it is all the time, it is all levels, it is all the way from really pragmatic, approachable stuff for somebody starting out who doesn't know things, all the way to like Absolutely cutting edge research, silicon, models, AI for science, like, we didn't talk about any of the AI for science stuff, I've seen magical stuff coming out of the research group on that topic, like just crazy cool stuff that's coming, so. You've…

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