Thank you so much, Lon for being here at build. I know you started off as an intern at Microsoft, you were a Windows developer, and of course you're a big PC gamer. Still, you want to just talk about you in your early days with Windows and the kinds of things you build.
Yeah, well, actually started before Windows with us. I had one of the early IBM PCs with MS DOS and I think I had like a one hundred and twenty eight K in the beginning, and then at double T two fifty six K, which felt like a liar, so I yeah, pro programmed video games indus and then in Windows remember Windows three point one.
Yeah, no, it's wonderful. I mean even at the last time I chatted with you, you were talking all about everything, the intricacies of active directory, and so it's fantastic to have you at our developer conference. Obviously, the exciting thing for us is to be able to launch grock on Azure. I know you have a deep vision for what AI needs to be, and that's what got you to get this billed. It's a family of models that are both response and reasoning models, and you have a very exciting roadmap.
You want to just tell us a little bit about sort of your vision the capability you're pushing on both capability and efficiency, So maybe you can just talk about a little bit of that.
Sure. So yeah, with with GROC, especially with Rock three point five that is about to be released, it's it's trying to reason from first principles, so apply kind of the the tools of physics to thinking. So if you're trying to get to fundamental truths, you you try you boil things down to the axiomatic elements that are most likely to be correct, and then you reason up from there, and then you can test your conclusions against those axiomatic elements.
And you know, in physics, if if you violate conservation of energy or momentum, then you're either going to get a Nobel price or you're you're wrong, and you're certainly wrong basically. So so the the that's really the focus of Rock three point five is uh, sort of I find a fundamental physics and applying physics tools across all lines of reasoning and to aspire to truth with minimal error.
Like there's always gonna be some mistakes that are made, but we aim to get to truth with acknowledged error, but minimize that error over time, and I think that's actually extremely important for AI safety. So I've put a lot for a long time about AI safety and wealth. Book conclusion is the old maximum that honesty is the best policy. It really really is for safety. But any
want to have size. You know, we we haven't will make mistakes, but we aspire to correct them very quickly, and we are very much looking forward to feedback from the developer community to say like, what do you need? Where are we wrong? Cocker, we make it better, and to have Rock be something that the developer community community is very excited to use and where they can feel that their feedback is being heard and GROCK is improving and serving their need.
Yeah, I know it's in some sense, you know, cracking the physics of intelligence is perhaps the real goal for us to be able to use AI at scale, and so it's so good to you know, take that first principle's approach that you and your team are taking. And also you're deploying this. I mean one of the things about sort of what you do is you're doing you know, unsupervised FSD on one side, you're doing robotics. Of course there's Rock. You're deploying Rock across all of your businesses,
from SpaceX to Tesla. Obviously at X, I would love to even you know, one of the themes for this developer conference, Elan is we're building pretty sophisticated AI apps. Right, It's not even about any one model. It's about orchestrating multiple models, multiple agents, just anything that you're seeing in the real world application side, even inside of your own companies. When you think about even a Tesla or a space X where you put grock and needs the other AI models you're building.
Yeah, it's incredibly important for a model to be grounded in reality reality. You know, I was saying, which is like like physics is the low and everything else is the recommendation. Which is I'm not suggesting people break but the laws made by you know, humans. Uh, you know, we should generally avail laws of humans. But but I've seen many people break human made laws, but I have not seen anyone break the loads of physics. So for for any given AI grounding it against reality and reality.
For example, as you mentioned with with the car, it needs to drive safely and correctly. Uh, the human raid robot optimist needs to perform the task that that that it's being asked to perform these These are things that are very very helpful for issuing that the model is crucial and accurate because it has to adhere to the loads of physics. So so I think that's actually maybe so some somewhat overlooked or at least not talked about
it enough. Is that to really be intelligent, it's it's got to make predictions that are in line with reality. In other words, physics. That's that's it's a really fund metal thing and and being able to ground that with the cars and robots is very important. We are seeing Grock be very helpful in things like customer service, and you know that the AI is infinitely patient and apparently and you can yell at it and it's still going
to be very nice. Uh So that's good. Yeah, And so so I think in terms of improving the quality of customer service and sort of issue resolution, AI's were already uh Grock is already doing quite a good job that at SpaceX and Tesla, and and we look forward to like offering that to other companies.
No, that's fantastic, Really thrilled to get this journey started, getting that developer feedback and then looking forward to even how they deployed. There is these language models, there's you know, I think over time we will have this coming together of language models with vision with action, but to your point, being really grounded on a real world model, and that I think is ultimately the goal here. And so thank
you so much Eland for briefly joining us today. And we're really excited about working with you and getting this into the developers' hands.
Thank you, thank you very much. And I can't empsize enough that we're looking for feedback from you that develop an audience. Tell us what you want and we'll make it happen. Thank you,