NVIDIA CEO: AI Needs 1000x More Energy & Continuous Computing

So, uh, here's the head of Nvidia, uh, Mr. Huang talking about we need one but when I say 100 times when I say 100 times, that's Schmidt a year ago at Stanford. Now it's a thousand times. Here it is. last last half decade, uh, helping people understand the amount of compute that's likely to be coming. And I just told you guys something about how I reason through uh how much energy is going to be necessary. The amount of energy that we need for compute for computing is likely, um, you know, probably a thousand times more than we currently have. And that's an enormous amount of energy. Um, however, the way to think about that is in the future, uh computers are going to be two things. It's always going to be generative because it's intelligence contextually aware. So it's going to be generated. And then number two, it's going to be continuous. And so you this generative computing in a continuous way, um, compared to pre-recorded retrieval based computing that is only um uh initiated on, you know, stop there. What about this issue that AI is backward-looking only on previous stuff, copying what humans ...