Tim Scarfe: belief

Transcript context

…AI is operating in the real world. And I can prove it with 1 step. Unplug the reactor from the data center, no more AI. AI is absolutely in the real world. Its data stream was fed to it by layers of abstraction in the same way, much the same way that your data stream arrives to you as representations 8 neural networks deep from your op your optical nerve going all the way back, and by the by the time it hits the back of your occipital lobes, you're not seeing the fucking world. None of us see the world. It's abstraction all the way down. You can't process the photon density at your eyes. Full stop. And so arguably AI actually gets way more coherent data than we do, and so when it's thinking in its data center, it not only is truly embodied in the sense like as much as your brain is it just doesn't have effector arms, but like getting a data center effector arms is like a it's a nominal problem. Right? As a matter of fact, does have 1 because I have a Tesla of which I'm very proud. Yes. It's a it's someone's like, oh hello, can I talk to you? Oh my god, no. The unwashed masses. I have a Tesla. Tesla like Elon says it. It's an s but he says it like a z. My Tesla drives itself. It fucking drives itself. It's a chip inside the car. How the fuck does it know what's around? Cameras. It is already a an intelligent organ and an end as a suite of effector organs, sensory effector and intelligent. But his thing is, it drives it better than I do. Yeah. But we should we should distinguish. There's this famous effect called the McCordack effect after Pamela McCordack. And basically, it's that when technology does something that we thought was impossible, there's a chorus of people that say, oh, that's not really intelligent. Just becomes part of the standard thing. Maybe it just wasn't that hard of a thing to do in the first place. But I think in the case of machine learning, we really need to give credit where it's due here that nobody knew that these superficial statistical regularities have an insane amount of generalization. So it's possible to learn the statistical distribution of driving type data and your Tesla can drive And arguably, in some ways, assuming that there's no robustness issues, better than you do. But it's still dead. It's not alive. It's not intelligent. And Wait. Hold on. Back to your previous point. It's not alive. Why would you say it's not intelligent? It's solving real world problems at speed.…

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