please welcome Jensen Wong. Jensen, come on out to have you. Our industry is, you know, call it about a trillion dollars, and it's an industry of tools, you know, computers, software, their industry of tools. For the very first time, this is going to be an industry of skills, and you capture that phrase, and you call it agents, but it's going to be for the very first time agents sitting on top of tools, agents using tools, and the opportunity for agents is gigantic, as we know. You know, we now know. I'm hoping so, by the way. Yeah, it sounds insane, but here's the amazing thing. We're going to have agents that obviously understand the subtleties of the things that we ask it to do, but it can also use tools, and it can reason, and it can reason with each other and collaborate with each other. And you know, going to, we're going to give a problem to

agent force and uh uh agents are going to go find other agents uh that that can help achieve this Mission. uh They'll work together, assemble together, and work together and solve this problem. And and so I I think the the the Breakthrough uh for for me was was at a moment when when um we realized that unsupervised learning was going to be possible because the ability for humans to to uh be able to L label data at scale. uh We would become the limit limiters of these digital digital AI to to uh uh expand their capabilities. And uh when when unsupervised learning came along which allowed us to use language models to create language models which codify human prior knowledge using that to now learn multimodality multimodal uh uh data. uh From that point forward the scale was going to be exponential. Now the you know for for everybody here this is this is an extraordinary time because uh in no time in history has computer technology not only uh uh moved faster than Mo's law. I mean we're Mo's law for

example over the course of a decade would be about 100x. We are probably advancing at somewhere near 100. That was our other neighbor in Hawaii, Gord Moore. Oh, is that right? Great person, great leader, great person. And so we're at a stage now, we're in an era now where we're moving way faster than Moore's law, and arguably easily Moore's law squared. And the reason for that, of course, is at every single layer. Computers went from CPUs to GPUs, from human-engineered software to machine learning software, and now this feedback loop that allows us to create new AIs. And these new AIs are helping us create new computer systems, and these new computer systems are advancing at such incredible rates, which allows us to create even better AI. That feedback, that flywheel is really flying now. And so I think the progress that you're going to have with

a agents over the next year or two is going to be spectacular and surprising. The challenges that we have in front of us are many and worthy to be tackled right away. Um, of course, some of the most inspiring advances has to do with fine-tuning supervised um uh guard and guard railing and um uh and uh um all of the work that's surrounds safety um everything from using AI to curate the data to create safe curriculum to teach the AI which then fine-tunes the AI on particular skills to grounded on values. Then then all of this wonderful AI technology to guardrail it um and guard railing and then reflection uh using using chain of thought to reflect on the quality of the answers that it's producing. You know, it's no longer AI this one shot producing information. It's now reasoning about is this is the the the uh the answer I'm generating uh sufficiently safe and proper and is it the best possible answer I could be I could be

providing its reasoning with itself and it's uh it's reflecting on the answers before it answers and so I I think the progress that we're making in safety is phenomenal isn't it so important that people can actually understand uh this is what I call they need to get their hands in the soil they need to understand the basic ideas to make this possible and that's what I hope you know happen with the thousands of people here that they can get in the code while they're here yeah to really understand so when they're going back to their offices you know that exactly what you're saying that we've demystified the AI that you know they don't have to worry about how they're going to DIY their AI that they can somehow put all the hard work that your team has done right into some very practical use because this leap of faith that you've had this strategic motion of your company has enabled so much of this now how do we put it in the hands of

everybody to like just get to work in building an agent should not be some computer science fair project. It should be something that we can easily do because it's going to be a lot more like onboarding employees than writing software. So, I think the ambition of wanting to reinvent computing to create what we now know is such a great endeavor. So, somewhere between being inspired by all the stimulus, the incredible challenge ahead of us, you know, it's kept us propelled, inspired, and fired up for a long, long time. And now here we are. We now have the instruments, the tools, this capability called artificial intelligence that can solve all of those other problems that we've, you know, been excited about ever since we were kids. And so, that's pretty exciting times. Yeah, the summation of that whole thing, right? Because now that I know, like, you were there when the TR80 model 1 was there, and we were at Radio Shack, and we're working on that, you know, BASIC and

then we're moving into the 6502 computers, and the Commodore, and the Ataris, and the Apples, and all of that. And then all of a sudden, yeah, we're under these mini computers and mainframes. And now, all of a sudden, we're in this next-generation systems that can do things that we could have never imagined. And that's right. If somebody had asked us when we were in high school to start programming on those things, we'd be like, Whoa, yeah, unbelievable times. And so, I think for all of the industry, this is what we're all fired up about because we're now seeing it, and we get the benefit of being inside the industry, looking at the early indications of all this work. And I'm excited to be here today, helping to celebrate the beginning of the Enterprise AI ERA. This is a big deal. Don't forget, you know, we say Enterprise is a name of an industry or, you know, but the fact of the matter is this is how society is

built. This is how industries are built, and we're going to bring a level of automation capability that the world's never seen. And I love that you codified it as agents, gave it a theme song, um.

Watch Nvidia’s Jensen Huang Talk AI Agents at Dreamforce in 8 Minutes

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