Are we nearing a singularity?

1:47:48what it would feel like to be right there >> when the flip was about to switch. And to me, even as a layman, you can start to feel the ground moving. >> Yeah. >> Underneath our feet. It's not to say the killer robot outcome and Skynet, that's not what we're talking about. But if the raw power of machines at the edges of what human capability is is is here now, what does that mean? And there are so many ways in which mathematically scientifically engineering wise, socially, politically,

1:48:32economically, religiously, all of the ease. >> Uh, you know, it's like it's someone made the joke. It's like when people say that they're uh why do I care about politics? It doesn't affect me. Oh, that must mean you're not, you know, a public employee, a veteran, a young person, an old person, a disabled. >> You come from wealth. like [laughter] you know but it is I I know I know that everyone is tired of hearing about AI. I I know that I get it. I totally understand it. Um however um if we could have stopped the bankers from doing '08 before it happened. Would people say no to that? >> Yeah. >> And it feels like a similar situation where there's a runaway train here

1:49:14>> and we need to do something. >> Yeah. >> Yeah. >> I don't know what Yeah. And maybe it's not to stop the progress because progress is always good, >> right? >> But we got to we got to talk about it >> and we have to engage in it and we have to have these discussions and >> and we got to have some kind of policy, right? It can't just be, oh, it's like too late, >> right? >> Everyone's unemployed >> cuz it's not >> and now let's try to solve it. >> Solve it because right now it's not too late but very quickly it might be too late for mathematicians for for some of these industries a lot of as oh it's the white collar jobs. Who cares? I I'm blue collar. It's not going to impact me. Well, humanoid robotics are coming. So, it is this is, you know, I I know I'm

1:49:54making this larger philosophical and sociological point. >> Yeah. But the detail of what we walked through today is the canary in the coal mine. The second time I'm saying this this episode for I think a larger shift that is part of the reason we do this show which is to make sure that the frontier of research in all of these industries does not get so far ahead of the everyday person that people don't understand what people are doing on their behalf. Especially with taxpayer funded money. >> Yeah. Yeah, this was so good, dude. Like, >> yeah, >> this was really, really good. I can't believe I can go around be like, "Oh, yeah, the Jacobian." Yeah, it equals

1:50:35one. >> Yeah, it just [laughter] It's a ratio of uh areas are multi. >> You should say volumes. Yeah, volumes because because to mathematicians, an area is really a 2D volume. [laughter] >> Oh, those mathematicians, they crack me