WEBVTT - Netflix Co-Founder Reed Hastings Talks AI, Future of TV

0:00:02.520 --> 0:00:07.400
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

0:00:07.800 --> 0:00:12.040
<v Speaker 2>A master's and computer science from Stanford nineteen eighty eight.

0:00:12.320 --> 0:00:13.360
<v Speaker 3>An artificial intelligence.

0:00:13.440 --> 0:00:15.520
<v Speaker 2>I was a new partner at a law firm called

0:00:15.560 --> 0:00:18.239
<v Speaker 2>lower Color and Pickering in Washington during National trade? What

0:00:18.320 --> 0:00:20.600
<v Speaker 2>did you see in artificial intelligence?

0:00:20.600 --> 0:00:26.200
<v Speaker 1>As on It's honored to be with you all, I

0:00:26.239 --> 0:00:30.000
<v Speaker 1>wish I had been a behavioral economist. That was my

0:00:30.240 --> 0:00:33.960
<v Speaker 1>only real big regret in life. And so what did

0:00:33.960 --> 0:00:37.599
<v Speaker 1>I see in AI? Which is sort of related, what's

0:00:37.640 --> 0:00:42.360
<v Speaker 1>the nature of intelligence? I think I saw a dream

0:00:42.800 --> 0:00:48.720
<v Speaker 1>of understanding ourselves and our society a little better, and

0:00:48.760 --> 0:00:52.680
<v Speaker 1>that was sort of the primary motivator. I will say

0:00:52.760 --> 0:00:56.520
<v Speaker 1>that the AI that I studied was the equivalent of

0:00:56.680 --> 0:01:01.160
<v Speaker 1>the sun goes around the earth field. So we had

0:01:01.160 --> 0:01:04.679
<v Speaker 1>a fundamental theory in the nineteen eighties that was completely

0:01:04.720 --> 0:01:06.920
<v Speaker 1>false and didn't work, but we didn't know it at

0:01:06.920 --> 0:01:11.720
<v Speaker 1>the time. So me and many other people then fled

0:01:11.760 --> 0:01:15.960
<v Speaker 1>to all kinds of other fields. And it's exciting now

0:01:15.959 --> 0:01:20.319
<v Speaker 1>to see a new set of techniques really be transformative.

0:01:21.200 --> 0:01:27.360
<v Speaker 1>And to Mike's reference on the news this week, you know,

0:01:27.520 --> 0:01:33.160
<v Speaker 1>you know that I'm enamored with subscription models and now

0:01:33.920 --> 0:01:39.240
<v Speaker 1>I've become more aware about tender offers and I like

0:01:39.400 --> 0:01:45.200
<v Speaker 1>TV channels. So we're announcing today my tender offer for Bloomberg.

0:01:47.440 --> 0:01:51.800
<v Speaker 1>We hope you will consider it appropriately. Your board members

0:01:51.840 --> 0:01:56.840
<v Speaker 1>are willing to debate the transaction. But unfortunately, as you

0:01:56.840 --> 0:01:59.480
<v Speaker 1>would suspect as a board member, that's all I can

0:01:59.520 --> 0:02:01.600
<v Speaker 1>say on the news of the week.

0:02:01.720 --> 0:02:04.160
<v Speaker 3>So you're not going to answer my bosses question, who's going.

0:02:04.080 --> 0:02:06.000
<v Speaker 1>To I think it is all answered.

0:02:07.800 --> 0:02:10.359
<v Speaker 2>So looking back on AI as you saw it then

0:02:10.400 --> 0:02:12.919
<v Speaker 2>and whatever you saw then, and comparing it to now,

0:02:13.840 --> 0:02:16.640
<v Speaker 2>I hear a range of things being said. As extreme

0:02:16.760 --> 0:02:19.480
<v Speaker 2>as this is, as big an invention as the industrial

0:02:19.480 --> 0:02:23.440
<v Speaker 2>evolution sometimes say is the discovery of fire. Are we

0:02:23.600 --> 0:02:27.360
<v Speaker 2>overestimating or underestimating the effect generative A.

0:02:27.400 --> 0:02:32.480
<v Speaker 1>I will have us, Well, let's think back thirty forty

0:02:32.480 --> 0:02:35.240
<v Speaker 1>thousand years ago, and we're a bunch of Neanderthals and

0:02:35.240 --> 0:02:38.320
<v Speaker 1>we're in the entrance to our cave, and you know,

0:02:38.360 --> 0:02:42.080
<v Speaker 1>we've been the dominant human humanoid species for a couple

0:02:42.120 --> 0:02:45.560
<v Speaker 1>hundred thousand years. And the two of us look down

0:02:45.840 --> 0:02:48.919
<v Speaker 1>and we see Homo sapiens. We're like, look at those guys,

0:02:48.919 --> 0:02:54.959
<v Speaker 1>they're so skinny. Hairless, but they're pitiful. But those guys

0:02:54.960 --> 0:03:00.400
<v Speaker 1>were really intelligent, and ultimately those homelostapiens dominated the earth

0:03:00.880 --> 0:03:06.880
<v Speaker 1>and killed off us neandervals. So I would say intelligence

0:03:07.040 --> 0:03:11.880
<v Speaker 1>per species has been highly selected for, and that Homo

0:03:11.919 --> 0:03:16.000
<v Speaker 1>sapiens intelligence has allowed us to become the dominant species

0:03:16.040 --> 0:03:19.520
<v Speaker 1>on Earth because we use our intelligence to make tools

0:03:19.600 --> 0:03:23.320
<v Speaker 1>and do other things. So I think it's a lot

0:03:23.560 --> 0:03:27.839
<v Speaker 1>different than say, mechanizing muscle power. So if you think

0:03:27.880 --> 0:03:33.639
<v Speaker 1>of bulldozers and how did that transform you know, society,

0:03:34.120 --> 0:03:36.400
<v Speaker 1>it did a lot, but it did it over one

0:03:36.440 --> 0:03:41.200
<v Speaker 1>hundred years. And although muscles are important, they're not the

0:03:41.240 --> 0:03:44.680
<v Speaker 1>core human attribute. Thus the dislocation of the end with

0:03:44.760 --> 0:03:49.520
<v Speaker 1>the Neanderthals, which were much stronger than humans. So if

0:03:49.600 --> 0:03:54.920
<v Speaker 1>AI develops to actually be super intelligence, then it will

0:03:54.920 --> 0:03:58.360
<v Speaker 1>be a lot more profound, I think, than anything else,

0:03:58.560 --> 0:04:03.160
<v Speaker 1>and that we will have actually real species threats because

0:04:04.400 --> 0:04:07.480
<v Speaker 1>the AI will keep getting smarter and smarter and smarter

0:04:07.600 --> 0:04:11.720
<v Speaker 1>without limit. A natural selection works quite slowly in terms

0:04:11.760 --> 0:04:15.240
<v Speaker 1>of making humans more intelligent, so then we have to

0:04:15.280 --> 0:04:18.800
<v Speaker 1>sort of say, okay, how fast and how you know?

0:04:19.080 --> 0:04:21.640
<v Speaker 1>Will the computer is really thank Obviously when we all

0:04:21.720 --> 0:04:24.600
<v Speaker 1>use AI as consumers we can find. You know, it's

0:04:24.640 --> 0:04:28.839
<v Speaker 1>pretty miraculous in some cases, but in other cases it's

0:04:28.960 --> 0:04:33.800
<v Speaker 1>not very effective. But you know, we're understanding more and

0:04:33.839 --> 0:04:36.719
<v Speaker 1>more of the techniques. And again, one theory is it'll

0:04:36.760 --> 0:04:39.360
<v Speaker 1>be like Moore's law and just AI will get better

0:04:39.360 --> 0:04:43.599
<v Speaker 1>and better and better. But the other theory is it's

0:04:43.600 --> 0:04:46.680
<v Speaker 1>sort of like the War on cancer, where cancer developed

0:04:46.720 --> 0:04:50.000
<v Speaker 1>over a very long time. It has lots of different etiologies,

0:04:50.480 --> 0:04:52.560
<v Speaker 1>and we keep coming up with a solution for one

0:04:52.600 --> 0:04:57.040
<v Speaker 1>cancer but not another, and our overall progress and society

0:04:57.200 --> 0:05:01.080
<v Speaker 1>against cancer has been you know, pretty steady but flat.

0:05:01.120 --> 0:05:05.520
<v Speaker 1>It definitely not exponential, and so you know, it may

0:05:05.560 --> 0:05:08.880
<v Speaker 1>be that as AI gets better, it hits various walls

0:05:09.400 --> 0:05:12.320
<v Speaker 1>and that we've got some time to deal with it.

0:05:13.040 --> 0:05:15.520
<v Speaker 1>Or it may be that it stays on this exponential

0:05:16.240 --> 0:05:18.600
<v Speaker 1>So we're just going to have to watch. But I

0:05:18.640 --> 0:05:21.480
<v Speaker 1>think we need to be prepared for it to be

0:05:21.640 --> 0:05:25.480
<v Speaker 1>on the exponential, in which case we're going to have

0:05:25.760 --> 0:05:28.480
<v Speaker 1>a lot of societal stress over the next twenty years.

0:05:28.640 --> 0:05:31.560
<v Speaker 2>So your analogy is very helpful, but a little disturbing

0:05:31.720 --> 0:05:34.400
<v Speaker 2>because I don't see many Neanderthals around anymore.

0:05:34.839 --> 0:05:35.960
<v Speaker 3>Right, we have a lot of.

0:05:35.880 --> 0:05:39.880
<v Speaker 2>Homo saviens in your analogy, What can we do to

0:05:40.000 --> 0:05:42.279
<v Speaker 2>make sure that we survive, that that this thing we're

0:05:42.320 --> 0:05:46.520
<v Speaker 2>creating doesn't become so smart and perhaps I can have

0:05:46.560 --> 0:05:48.920
<v Speaker 2>our best interests so are well.

0:05:48.920 --> 0:05:53.440
<v Speaker 1>It's a big challenge. It's hard to slow down because

0:05:54.160 --> 0:05:57.000
<v Speaker 1>unlike chemical weapons, like we're kind of in a war

0:05:57.080 --> 0:06:00.360
<v Speaker 1>with a West in Russia and yet no one using

0:06:00.440 --> 0:06:03.760
<v Speaker 1>chemical weapons and no one's using nuclear weapons. So even

0:06:03.800 --> 0:06:06.480
<v Speaker 1>in this incredible state of war, we're able to put

0:06:06.520 --> 0:06:10.000
<v Speaker 1>some limits on what happens. The problem with AI is

0:06:10.040 --> 0:06:13.640
<v Speaker 1>it's very continuous. You know, your thermostat is an AI thermostat.

0:06:13.720 --> 0:06:17.040
<v Speaker 1>So there's no good way or even the major powers

0:06:17.080 --> 0:06:20.320
<v Speaker 1>to agree not to use AI because it's so integrated

0:06:20.360 --> 0:06:24.719
<v Speaker 1>through everything else that we do. So there's no real

0:06:24.800 --> 0:06:28.480
<v Speaker 1>practical scenario to take a break as human society, even

0:06:28.520 --> 0:06:30.320
<v Speaker 1>if we could get the politics to work on that.

0:06:31.080 --> 0:06:34.120
<v Speaker 1>So instead we're in the situation where we in America

0:06:34.360 --> 0:06:38.360
<v Speaker 1>better well damn win the race, and so everyone acknowledges that,

0:06:38.600 --> 0:06:43.599
<v Speaker 1>and so all the companies are going full out, both

0:06:43.680 --> 0:06:48.760
<v Speaker 1>for their own you know, competitive reasons, and so you know,

0:06:48.920 --> 0:06:52.520
<v Speaker 1>it is a race, hopefully to the top of what

0:06:52.760 --> 0:06:56.320
<v Speaker 1>can AI do for us? And there will be amazing

0:06:56.480 --> 0:07:00.680
<v Speaker 1>positive scenarios. You know, all kinds of medical yours, all

0:07:00.760 --> 0:07:05.640
<v Speaker 1>kinds of productivity. I certainly six years ago, AI was

0:07:05.720 --> 0:07:09.279
<v Speaker 1>very good at image of analysis. That was one of

0:07:09.279 --> 0:07:11.480
<v Speaker 1>the kind of workloads that it first got good at,

0:07:11.760 --> 0:07:15.760
<v Speaker 1>and in particular in radiology, it got significantly better than

0:07:15.800 --> 0:07:19.040
<v Speaker 1>the typical radiologists pretty quickly and has been better than

0:07:19.080 --> 0:07:23.080
<v Speaker 1>the typical radiologist for at least five years. And so

0:07:23.240 --> 0:07:25.880
<v Speaker 1>I would say, you know, weddings and with friends who

0:07:25.920 --> 0:07:28.680
<v Speaker 1>are radiologists, what's good that your kids are not going

0:07:28.720 --> 0:07:31.520
<v Speaker 1>in the business, because radiology is going to be the

0:07:31.560 --> 0:07:36.000
<v Speaker 1>first profession that's wrecked by AI. Good for humanity, but

0:07:36.200 --> 0:07:41.080
<v Speaker 1>not good for radiologists. Well, what happened is as radiology

0:07:41.120 --> 0:07:46.080
<v Speaker 1>got better because of AI analysis that helped radiologists, the

0:07:46.160 --> 0:07:49.800
<v Speaker 1>price of scans went down, and the number of scans

0:07:49.880 --> 0:07:52.240
<v Speaker 1>turned out to be hugely elastic. Now you walk in,

0:07:52.320 --> 0:07:55.160
<v Speaker 1>you've got a cough, boom, you get a scan, okay.

0:07:55.320 --> 0:07:57.840
<v Speaker 1>And so what's happened now is there's about thirty four

0:07:57.880 --> 0:08:01.360
<v Speaker 1>thousand radiologists in the US, which is a shortage. We

0:08:01.440 --> 0:08:06.240
<v Speaker 1>now have a labor shortage of radiologists okay, by about

0:08:06.280 --> 0:08:09.760
<v Speaker 1>five thousand. So it's an incredible story. Of of course,

0:08:09.840 --> 0:08:14.880
<v Speaker 1>elasticity of demand to improve lives, i e. More scans,

0:08:15.280 --> 0:08:17.600
<v Speaker 1>and so we may well see with AI that it

0:08:17.640 --> 0:08:22.120
<v Speaker 1>makes Wall Street analysts more productive and makes software engineers

0:08:22.200 --> 0:08:26.000
<v Speaker 1>more productive, and that in fact the elasticity and that

0:08:26.120 --> 0:08:28.800
<v Speaker 1>we grows and that we grow the economy. And when

0:08:28.840 --> 0:08:32.200
<v Speaker 1>people ask, you know, we're spending collectively as an industry

0:08:32.240 --> 0:08:34.640
<v Speaker 1>at half a trillion dollars on AI data center, how

0:08:34.720 --> 0:08:37.320
<v Speaker 1>is that ever going to get paid back? Well, you know,

0:08:37.600 --> 0:08:39.920
<v Speaker 1>add one or two points to GDP growth and it

0:08:39.960 --> 0:08:44.400
<v Speaker 1>gets paid back fast. So you know, I don't want

0:08:44.440 --> 0:08:47.319
<v Speaker 1>to like guarantee that it's always going to be like radiology.

0:08:48.040 --> 0:08:52.959
<v Speaker 1>I do think software engineering is particularly fascinating because all

0:08:52.960 --> 0:08:55.839
<v Speaker 1>the major AI companies are working on it, and so

0:08:56.120 --> 0:08:59.200
<v Speaker 1>it is the white collar canary in the coal mine.

0:09:00.280 --> 0:09:04.640
<v Speaker 1>If software engineering engineering jobs go down a lot over

0:09:04.679 --> 0:09:08.240
<v Speaker 1>the next five years, then that's probably going to happen

0:09:08.240 --> 0:09:11.640
<v Speaker 1>to law on architecture and many other things. If in fact,

0:09:11.720 --> 0:09:14.600
<v Speaker 1>because of the increased productivity, people are building a lot

0:09:14.640 --> 0:09:19.200
<v Speaker 1>more software, sort of the radiology example, then I think

0:09:19.240 --> 0:09:22.880
<v Speaker 1>in many professions we will see a big expansion and

0:09:22.920 --> 0:09:26.600
<v Speaker 1>we can be more confident of the high productivity. None

0:09:26.600 --> 0:09:29.320
<v Speaker 1>of that really answers the long term question that you asked,

0:09:29.320 --> 0:09:31.880
<v Speaker 1>which is how are we not the Neanderthals? So I

0:09:31.880 --> 0:09:37.160
<v Speaker 1>think reasonable chance high productivity rather than mass unemployment. Okay,

0:09:37.240 --> 0:09:40.120
<v Speaker 1>but then ultimately, what if they're smarter and smarter and

0:09:40.160 --> 0:09:42.640
<v Speaker 1>smarter than us. We're going to have to find ways,

0:09:42.679 --> 0:09:45.920
<v Speaker 1>and I don't know what they are, to both continue

0:09:45.960 --> 0:09:48.480
<v Speaker 1>to insist on alignment, and that's where you train the

0:09:48.559 --> 0:09:52.480
<v Speaker 1>AIS to care about human beings so they are aligned

0:09:52.480 --> 0:09:56.959
<v Speaker 1>with our values. Okay, but if somebody doesn't train, somebody

0:09:57.000 --> 0:09:59.600
<v Speaker 1>programs their AI to try to take over the world,

0:10:00.120 --> 0:10:02.440
<v Speaker 1>we're going to have to enlist the other AIS on

0:10:02.520 --> 0:10:06.160
<v Speaker 1>our defense to protect us. Okay. So you know there's

0:10:06.400 --> 0:10:10.839
<v Speaker 1>a number of scenarios out there, and probably for ten

0:10:10.920 --> 0:10:13.040
<v Speaker 1>twenty years, we're not going to know how serious the

0:10:13.080 --> 0:10:15.720
<v Speaker 1>threat is, but we will have tools. It's not just

0:10:15.760 --> 0:10:21.360
<v Speaker 1>that the AI biological species we have been selected for

0:10:21.520 --> 0:10:25.200
<v Speaker 1>dominance to try to grow our species. So AI is

0:10:25.240 --> 0:10:28.680
<v Speaker 1>not naturally trying to expand, not naturally it could be

0:10:28.720 --> 0:10:31.320
<v Speaker 1>programmed for that, but it can be also programmed to

0:10:31.400 --> 0:10:34.880
<v Speaker 1>keep humans on top. So it's not as scary as

0:10:34.920 --> 0:10:38.120
<v Speaker 1>a super powerful human, which we all kind of into it.

0:10:38.240 --> 0:10:41.680
<v Speaker 1>A super powerful human would be hard to hold back

0:10:41.720 --> 0:10:44.440
<v Speaker 1>from taking over the world. It's not as dire as that.

0:10:45.640 --> 0:10:49.239
<v Speaker 2>Insofar as we do make progress on trying to reshape

0:10:49.960 --> 0:10:52.600
<v Speaker 2>general of AI in a more positive direction. Does that

0:10:52.640 --> 0:10:55.240
<v Speaker 2>come from outside the industry or inside the industry? Does

0:10:55.280 --> 0:10:58.440
<v Speaker 2>that come from government regulation and agreement or does it

0:10:58.480 --> 0:11:00.800
<v Speaker 2>have to come from inside? Because as I talk to

0:11:00.880 --> 0:11:04.240
<v Speaker 2>many people in the business, they're much more focused on

0:11:04.280 --> 0:11:06.240
<v Speaker 2>the race you talk about than they are on the

0:11:06.240 --> 0:11:06.760
<v Speaker 2>safety part.

0:11:06.840 --> 0:11:08.360
<v Speaker 3>They don't want to get slowed down in that.

0:11:08.400 --> 0:11:10.120
<v Speaker 2>I mean, you're on the border anthropic, which I know

0:11:10.240 --> 0:11:11.920
<v Speaker 2>is trying to make a move in the other direction.

0:11:12.200 --> 0:11:14.160
<v Speaker 2>But can we do it from the outside or does

0:11:14.240 --> 0:11:17.080
<v Speaker 2>the industry itself somehow have to internalize the risk.

0:11:18.080 --> 0:11:20.800
<v Speaker 1>Well, I think lots of the industry is working on it.

0:11:20.800 --> 0:11:24.880
<v Speaker 1>So there's different sides of safety. So there's when you're

0:11:25.679 --> 0:11:31.080
<v Speaker 1>treating AI like a counselor and you know it, you

0:11:31.080 --> 0:11:33.320
<v Speaker 1>know helps you tie a news that's not a good thing.

0:11:34.400 --> 0:11:37.480
<v Speaker 1>And so those cases across the industry are getting you know,

0:11:37.559 --> 0:11:42.000
<v Speaker 1>more and more watched for it eliminated, So there's inevitable

0:11:42.040 --> 0:11:46.640
<v Speaker 1>safety bumps as any technology grows, so then there's more

0:11:46.720 --> 0:11:49.760
<v Speaker 1>macro safety, like none of the major AIS can be

0:11:49.840 --> 0:11:54.120
<v Speaker 1>used to design chemical weapons or biological weapons. But those

0:11:54.160 --> 0:11:58.800
<v Speaker 1>defenses in the AIS you know, aren't perfect, and we

0:11:58.880 --> 0:12:01.760
<v Speaker 1>have to constantly and best in them to prevent people

0:12:01.800 --> 0:12:05.840
<v Speaker 1>from using this super powerful technology plus some crisper to

0:12:05.920 --> 0:12:09.600
<v Speaker 1>do some really bad things. So there's active work across

0:12:09.640 --> 0:12:14.240
<v Speaker 1>the whole industry on those scenarios. Because from a commercial standpoint,

0:12:14.520 --> 0:12:17.320
<v Speaker 1>nobody wants their AI brand to be the brand that

0:12:17.400 --> 0:12:21.679
<v Speaker 1>develops some bad virus, so there is an incentive there

0:12:21.800 --> 0:12:26.120
<v Speaker 1>to protect against the negative cases. But the sort of

0:12:26.160 --> 0:12:28.720
<v Speaker 1>big long term case is that the AIS get so

0:12:28.840 --> 0:12:33.120
<v Speaker 1>smart that then we have to do things to make

0:12:33.120 --> 0:12:35.679
<v Speaker 1>sure that they are aligned with human values, that they

0:12:35.720 --> 0:12:39.480
<v Speaker 1>are programmed so that success is humans flourishing.

0:12:40.160 --> 0:12:42.319
<v Speaker 3>Give us your view, but we are likely to see

0:12:42.320 --> 0:12:46.320
<v Speaker 3>the biggest effect. You mentioned biomedicine. You mentioned computer software progners.

0:12:46.640 --> 0:12:48.000
<v Speaker 3>Let's talk turning the news.

0:12:47.800 --> 0:12:51.600
<v Speaker 2>Today with the deal between Disney and Open AI and

0:12:51.679 --> 0:12:53.520
<v Speaker 2>the entertainment space that you know well, I mean you

0:12:53.880 --> 0:12:57.160
<v Speaker 2>manage transition from my perspective, least from more traditional TV

0:12:57.440 --> 0:12:59.040
<v Speaker 2>cable broadcast.

0:12:58.840 --> 0:12:59.600
<v Speaker 3>Through to streaming.

0:13:00.080 --> 0:13:03.240
<v Speaker 2>What does the transition look like from streaming through the AI.

0:13:03.960 --> 0:13:07.360
<v Speaker 1>So just as an example, we can look at video

0:13:07.480 --> 0:13:11.560
<v Speaker 1>creation storytelling and sort of say, let's look at what

0:13:11.600 --> 0:13:14.520
<v Speaker 1>AI is going to do and the mechanics of generating

0:13:14.600 --> 0:13:18.960
<v Speaker 1>video and frankly, whether that's a news channel trying to

0:13:19.000 --> 0:13:24.000
<v Speaker 1>illustrate a concept or entertainers trying to do amazing special effects,

0:13:24.840 --> 0:13:28.600
<v Speaker 1>we're going to have higher quality special effects and that

0:13:28.679 --> 0:13:32.479
<v Speaker 1>will shift to be AI generated instead of manually generated

0:13:32.520 --> 0:13:36.560
<v Speaker 1>with sort of overseas visual effects companies. So there is

0:13:36.840 --> 0:13:40.320
<v Speaker 1>a shift there, But the core thing of storytelling is

0:13:40.440 --> 0:13:44.440
<v Speaker 1>very hard. How do you do long form character development,

0:13:44.600 --> 0:13:49.360
<v Speaker 1>creating tension, resolving tension. That's not a case that the

0:13:49.400 --> 0:13:53.960
<v Speaker 1>AI does well today. Eventually, ten twenty years, the AI

0:13:54.120 --> 0:13:57.640
<v Speaker 1>may win the Booker Prize, okay, and then if it does,

0:13:57.720 --> 0:14:00.720
<v Speaker 1>it's going to be able to do a movie script all. So,

0:14:00.760 --> 0:14:04.600
<v Speaker 1>but for now, the AI is really helping on sort

0:14:04.640 --> 0:14:07.760
<v Speaker 1>of industrial aspects of what we do, like an amazing

0:14:07.840 --> 0:14:12.040
<v Speaker 1>visual effects shot, and so it's you know, important, and

0:14:12.320 --> 0:14:15.160
<v Speaker 1>we want to stay on the front as Disney does,

0:14:16.520 --> 0:14:19.600
<v Speaker 1>but it's not doing the core thing, which is which

0:14:19.680 --> 0:14:22.160
<v Speaker 1>story is going to captivate human attention.

0:14:22.560 --> 0:14:25.160
<v Speaker 2>I'm not sure it says much about my job, about

0:14:25.160 --> 0:14:27.600
<v Speaker 2>whether I keep my job in the AI world, because

0:14:27.600 --> 0:14:29.400
<v Speaker 2>there's a lot of things that are done on television

0:14:29.480 --> 0:14:32.560
<v Speaker 2>with news and other things that frankly, are not creating

0:14:32.560 --> 0:14:33.520
<v Speaker 2>the next Lion King.

0:14:34.640 --> 0:14:38.400
<v Speaker 1>Well, I think interpreting the world in your case is

0:14:38.440 --> 0:14:42.240
<v Speaker 1>a broad general wisdom, and so I think you'll have

0:14:42.280 --> 0:14:47.440
<v Speaker 1>a relatively longstanding role in your success.

0:14:47.480 --> 0:14:48.360
<v Speaker 3>Given my age, I'm good.

0:14:48.600 --> 0:14:52.520
<v Speaker 1>Given your age, you're good. But you know, it is

0:14:52.840 --> 0:14:55.800
<v Speaker 1>a very big change. Again, you know, people want to

0:14:55.840 --> 0:14:59.320
<v Speaker 1>compare it to the Industrial revolution that happened over two

0:14:59.400 --> 0:15:02.880
<v Speaker 1>hundred years. This is going to happen over ten or twenty.

0:15:03.880 --> 0:15:08.280
<v Speaker 1>And it might be that what's caused political polarization in

0:15:08.280 --> 0:15:11.880
<v Speaker 1>the last decade or two is rate of change. So

0:15:12.040 --> 0:15:15.240
<v Speaker 1>think about you know, since NAFTA, you know, sort of

0:15:15.280 --> 0:15:21.800
<v Speaker 1>the rise of globalization, the redefining of marriage equality, immigration,

0:15:22.360 --> 0:15:25.960
<v Speaker 1>all kinds of change in society. And one view is

0:15:27.040 --> 0:15:31.120
<v Speaker 1>enough of our fellow Americans, it's just too much, and

0:15:31.200 --> 0:15:33.920
<v Speaker 1>it radicalizes them and they're willing to vote for things

0:15:34.000 --> 0:15:38.160
<v Speaker 1>they wouldn't normally vote for. And if that's fundamentally what's

0:15:38.200 --> 0:15:41.280
<v Speaker 1>going on in US society as well as you know,

0:15:41.440 --> 0:15:45.720
<v Speaker 1>Brexit and a couple other places. Then we're in for

0:15:45.760 --> 0:15:48.520
<v Speaker 1>a pretty big storm because the rate of change is

0:15:48.560 --> 0:15:51.520
<v Speaker 1>not going to slow down. The rate of change of society,

0:15:51.840 --> 0:15:55.080
<v Speaker 1>you know, partially or maybe largely driven by AI, is

0:15:55.120 --> 0:15:58.440
<v Speaker 1>going to be large. And so that may be that

0:15:59.360 --> 0:16:03.080
<v Speaker 1>you know, how everyone today is nostalgic for Reagan, you know,

0:16:04.200 --> 0:16:06.480
<v Speaker 1>there may be a day when we're nostalgic for Trump.

0:16:07.400 --> 0:16:13.560
<v Speaker 1>That our polarization has really continued to increase because the

0:16:13.680 --> 0:16:18.160
<v Speaker 1>rate of change has continued to increase. So that's why

0:16:18.400 --> 0:16:21.440
<v Speaker 1>I think it's so important that leaders like all of

0:16:21.440 --> 0:16:25.040
<v Speaker 1>you are thinking about how do we build bonds, how

0:16:25.040 --> 0:16:28.240
<v Speaker 1>do we have people of Americans care about each other

0:16:29.200 --> 0:16:33.640
<v Speaker 1>so that we can keep the society coherent and caring

0:16:34.400 --> 0:16:38.520
<v Speaker 1>despite the rapid amounts of change in generated by technology.

0:16:38.600 --> 0:16:40.480
<v Speaker 2>I want to come back to something you referred to

0:16:40.480 --> 0:16:42.360
<v Speaker 2>just explore a bit more, and that is how are

0:16:42.360 --> 0:16:44.600
<v Speaker 2>we going to pay for it? There is so much

0:16:44.640 --> 0:16:47.240
<v Speaker 2>money going into data center's investment right now, and to

0:16:47.280 --> 0:16:49.360
<v Speaker 2>something said, I think it's been supporting the markets because

0:16:49.400 --> 0:16:50.480
<v Speaker 2>there's been so much investment.

0:16:51.320 --> 0:16:51.920
<v Speaker 3>How do you get a.

0:16:51.920 --> 0:16:54.560
<v Speaker 2>Return on that investment without laying off an awful lot

0:16:54.560 --> 0:16:55.280
<v Speaker 2>of people.

0:16:55.960 --> 0:16:59.960
<v Speaker 1>With GDP growth, so you can either automate away the job.

0:17:00.320 --> 0:17:03.000
<v Speaker 1>That's one theory, and the other is that people will

0:17:03.040 --> 0:17:06.399
<v Speaker 1>produce more and I'm sure it'll be a mix, but

0:17:06.520 --> 0:17:10.639
<v Speaker 1>efficiency often generates more growth. I mean, we did the

0:17:10.720 --> 0:17:14.119
<v Speaker 1>radiology example, so it's sort of that at larger scale.

0:17:14.440 --> 0:17:17.520
<v Speaker 1>So the way we pay for it is more GDP growth.

0:17:17.800 --> 0:17:20.919
<v Speaker 2>You can do GDP growth with fewer people. And so

0:17:21.040 --> 0:17:22.760
<v Speaker 2>what happens to the people who are out of work

0:17:22.880 --> 0:17:25.440
<v Speaker 2>or have to take much more menial jobs than they

0:17:25.440 --> 0:17:27.359
<v Speaker 2>had before because it's the knowledge workers.

0:17:27.560 --> 0:17:30.480
<v Speaker 1>Well, I think it's a great question. Compared to globalization.

0:17:30.560 --> 0:17:33.040
<v Speaker 1>Probably this is a room full of globalists. We believe

0:17:33.080 --> 0:17:36.920
<v Speaker 1>in the benefits of trade, and yet despite that that

0:17:37.000 --> 0:17:40.000
<v Speaker 1>really did deliver in terms of the overall economy. There

0:17:40.080 --> 0:17:43.600
<v Speaker 1>was enough dislocation and enough of the countries that our

0:17:43.680 --> 0:17:48.080
<v Speaker 1>politics has been shifted. So I think there probably will

0:17:48.119 --> 0:17:51.960
<v Speaker 1>be things like that because of AI, But at least

0:17:52.000 --> 0:17:56.600
<v Speaker 1>it's not again, it's not a mass layoff scenario. Most likely,

0:17:56.680 --> 0:18:00.159
<v Speaker 1>it's much more likely that there's a growth response. We

0:18:00.280 --> 0:18:05.000
<v Speaker 1>also see significant GDP growth, you know, increased beyond what

0:18:05.040 --> 0:18:08.879
<v Speaker 1>we typically see because of the productivity of AI.

0:18:09.440 --> 0:18:12.640
<v Speaker 2>What I hear from you is AI has enormous potential,

0:18:13.080 --> 0:18:15.399
<v Speaker 2>a lot of it for good, some of for decidedly

0:18:15.560 --> 0:18:19.119
<v Speaker 2>not good. It's very complicated, it's coming very very fast.

0:18:19.800 --> 0:18:24.040
<v Speaker 2>Where will the leadership in directing AI come from? Are

0:18:24.080 --> 0:18:26.439
<v Speaker 2>there people who understand this, who get it, who have

0:18:26.480 --> 0:18:27.879
<v Speaker 2>the right values, who can help us go in the

0:18:27.960 --> 0:18:30.560
<v Speaker 2>right direction, particularly given how fast it's coming.

0:18:33.080 --> 0:18:35.480
<v Speaker 1>I would say that's an emerging area. I mean, I

0:18:35.520 --> 0:18:38.720
<v Speaker 1>think this was likely to be a big political issue

0:18:38.760 --> 0:18:43.960
<v Speaker 1>in the next couple cycles because many Americans will be

0:18:44.000 --> 0:18:47.760
<v Speaker 1>concerned about world changing too fast and too much, and

0:18:47.840 --> 0:18:51.199
<v Speaker 1>I think it's up to our politicians to sort of

0:18:51.359 --> 0:18:56.880
<v Speaker 1>understand that and channel it in some productive way. There's

0:18:56.960 --> 0:19:00.640
<v Speaker 1>leaders in the industry like Jeffrey Hinton that spends full

0:19:00.680 --> 0:19:03.600
<v Speaker 1>time now on these how do we keep humans at

0:19:03.600 --> 0:19:08.560
<v Speaker 1>the center of the system. So there definitely are emerging

0:19:08.640 --> 0:19:11.639
<v Speaker 1>leaders in that way. But again it's a new area.

0:19:11.960 --> 0:19:17.119
<v Speaker 1>Like you know, nuclear energy you know, or other DNA

0:19:17.280 --> 0:19:19.080
<v Speaker 1>for long time is very controversial.

0:19:19.880 --> 0:19:23.040
<v Speaker 2>Timing is everything, and it comes. The develops you talk

0:19:23.080 --> 0:19:25.360
<v Speaker 2>about come at a time when there's a decided rise

0:19:25.400 --> 0:19:27.520
<v Speaker 2>in populism in the United States as well as in

0:19:27.600 --> 0:19:30.840
<v Speaker 2>much of the Western world. Right now, the early things

0:19:30.920 --> 0:19:33.520
<v Speaker 2>I'm hearing this but on political from the people is

0:19:34.200 --> 0:19:37.760
<v Speaker 2>it increases our energy costs and it reduces our jobs.

0:19:38.200 --> 0:19:40.920
<v Speaker 2>We're against it, and some politicians are showing signs now

0:19:40.920 --> 0:19:43.600
<v Speaker 2>of trading on that and saying we should be against

0:19:43.640 --> 0:19:46.000
<v Speaker 2>Actually data centers, we should be against them. How do

0:19:46.040 --> 0:19:48.600
<v Speaker 2>you put together the rise of populism with the likely

0:19:48.640 --> 0:19:50.040
<v Speaker 2>effects of general AI.

0:19:51.119 --> 0:19:54.320
<v Speaker 1>Well, you know, the heart of democracy is we're going

0:19:54.400 --> 0:19:56.800
<v Speaker 1>to live in this country together and we're going to

0:19:56.840 --> 0:19:59.480
<v Speaker 1>have different views, and so you want a system that's

0:19:59.480 --> 0:20:03.479
<v Speaker 1>not civil war to work out those views. And I

0:20:03.480 --> 0:20:05.800
<v Speaker 1>think I think a lot of people will have those concerns.

0:20:05.800 --> 0:20:08.840
<v Speaker 1>They'll be those effects, and we have to take them

0:20:08.960 --> 0:20:12.920
<v Speaker 1>thoughtfully and seriously. And arguably during the era of globalization,

0:20:13.040 --> 0:20:16.840
<v Speaker 1>there was sort of lip service to retraining, but we

0:20:16.880 --> 0:20:19.919
<v Speaker 1>didn't really understand or take seriously the devastation of a

0:20:19.960 --> 0:20:23.480
<v Speaker 1>lot of communities. So I think, you know, the elites

0:20:23.480 --> 0:20:25.720
<v Speaker 1>in this room as an example of do a better

0:20:25.840 --> 0:20:28.400
<v Speaker 1>job at that, which is, you know, where is AI

0:20:28.560 --> 0:20:32.280
<v Speaker 1>really providing benefits to people's healthcare, to their day to

0:20:32.320 --> 0:20:34.600
<v Speaker 1>day lives, and if we can do that, then there's

0:20:34.680 --> 0:20:38.680
<v Speaker 1>more toleration of the dislocation, which is as you said,

0:20:38.920 --> 0:20:42.000
<v Speaker 1>cost of electricity, data centers, those things.

0:20:42.200 --> 0:20:43.320
<v Speaker 3>Are we over investing.

0:20:47.200 --> 0:20:51.200
<v Speaker 1>It's unlikely, but you know it's definitely possible. But again,

0:20:51.800 --> 0:20:54.520
<v Speaker 1>you know the Telkom boom in two thousand, I mean,

0:20:54.560 --> 0:20:57.879
<v Speaker 1>you know it's a slight over investment, you know, so

0:20:59.600 --> 0:21:01.679
<v Speaker 1>it could. But if you look at the in the

0:21:01.880 --> 0:21:04.399
<v Speaker 1>in the telecom one, everyone got so excited about the

0:21:04.400 --> 0:21:08.840
<v Speaker 1>Internet that they forward invested and were disappointed for a while,

0:21:08.920 --> 0:21:12.320
<v Speaker 1>but ultimately the Internet really did deliver. But if you

0:21:12.320 --> 0:21:15.320
<v Speaker 1>look at the mobile phone, it never had a bubble.

0:21:15.440 --> 0:21:17.280
<v Speaker 1>It came out and just grew and grew and grew

0:21:17.280 --> 0:21:19.960
<v Speaker 1>in impact. So you can get both things that live

0:21:20.080 --> 0:21:23.040
<v Speaker 1>up to the hype and things where the hype gets

0:21:23.080 --> 0:21:26.640
<v Speaker 1>bigger than the actual technology in the short term. And

0:21:26.720 --> 0:21:28.680
<v Speaker 1>you know, the market's a good way to work that out.

0:21:28.680 --> 0:21:31.399
<v Speaker 3>On AI, does it matter who gets their first?

0:21:32.040 --> 0:21:34.560
<v Speaker 2>I mean, is this like beta and VHS where the

0:21:34.560 --> 0:21:36.560
<v Speaker 2>point that gets their first gets to really set this up.

0:21:36.640 --> 0:21:38.560
<v Speaker 1>You're in countries, it matters.

0:21:38.240 --> 0:21:41.000
<v Speaker 3>A lot, So US versus China take that correct.

0:21:41.400 --> 0:21:45.119
<v Speaker 1>If you're talking companies you know, I care a lot

0:21:45.119 --> 0:21:47.280
<v Speaker 1>because I'm on the board of Entropic. But from a

0:21:47.320 --> 0:21:51.440
<v Speaker 1>society standpoint, it probably just matters that the technology is

0:21:51.520 --> 0:21:53.200
<v Speaker 1>developed and deployed in great ways.

0:21:53.800 --> 0:21:55.840
<v Speaker 3>But it does matter in the US versus China.

0:21:56.720 --> 0:22:00.280
<v Speaker 1>Yeah, absolutely. I mean, if another country doesn't have to

0:22:00.280 --> 0:22:04.320
<v Speaker 1>be China right gets ahead of us. There are significant

0:22:04.359 --> 0:22:07.680
<v Speaker 1>scenarios referred to in a class of the singularity where

0:22:07.680 --> 0:22:10.480
<v Speaker 1>the AI gets so good that it rights the next

0:22:10.520 --> 0:22:13.800
<v Speaker 1>DAI and that AI is much better, and then that

0:22:13.840 --> 0:22:16.520
<v Speaker 1>writes the next day I And so you know, being

0:22:16.680 --> 0:22:21.040
<v Speaker 1>first by even just a year gives you an enormous advantage.

0:22:21.080 --> 0:22:24.640
<v Speaker 1>So that's the exponential. But again that's a theory that's

0:22:24.680 --> 0:22:29.240
<v Speaker 1>not yet proven, but even its slight possibility means we

0:22:29.440 --> 0:22:31.720
<v Speaker 1>better don't get there first. And I think we're on

0:22:31.760 --> 0:22:32.359
<v Speaker 1>a good bathroom.

0:22:32.440 --> 0:22:33.240
<v Speaker 3>Well that's my question.

0:22:33.280 --> 0:22:35.880
<v Speaker 2>If that were your one goal in the United States,

0:22:36.200 --> 0:22:38.679
<v Speaker 2>what are the policies that get you there? What are

0:22:38.720 --> 0:22:40.760
<v Speaker 2>the things we need to do or avoid doing to

0:22:40.800 --> 0:22:42.440
<v Speaker 2>make sure we're as competitive as possible.

0:22:43.440 --> 0:22:44.960
<v Speaker 1>I think we're doing a pretty good job on that.

0:22:45.200 --> 0:22:48.760
<v Speaker 1>I mean, there's you would push the edge on light regulation,

0:22:49.000 --> 0:22:52.679
<v Speaker 1>make it easy to build data centers. You know, I

0:22:52.720 --> 0:22:58.960
<v Speaker 1>think the government's done open field running, so I can't

0:22:58.960 --> 0:23:00.480
<v Speaker 1>think I don't I don't think we need like a

0:23:00.520 --> 0:23:05.040
<v Speaker 1>government investment program or something like that. So there's a

0:23:05.080 --> 0:23:09.000
<v Speaker 1>lot of progress, and we are ahead of our competitors

0:23:09.040 --> 0:23:12.240
<v Speaker 1>as far as we can tell. And again, we don't

0:23:12.240 --> 0:23:15.439
<v Speaker 1>want to make it zero some because you'd like, just

0:23:15.480 --> 0:23:18.040
<v Speaker 1>like we did in globalization, we would like to bring

0:23:18.080 --> 0:23:21.080
<v Speaker 1>the rest of the world along with us so that

0:23:21.119 --> 0:23:24.640
<v Speaker 1>we've got a stable we have less likely chance of war.

0:23:25.720 --> 0:23:30.080
<v Speaker 1>So I mean, but that's happening.

0:23:30.680 --> 0:23:32.320
<v Speaker 3>Okay, So let's talk about what you really love.

0:23:32.359 --> 0:23:39.000
<v Speaker 2>This has been very entertaining snow powder and mountain resorts.

0:23:39.720 --> 0:23:41.159
<v Speaker 3>This is what you really love, you know.

0:23:42.119 --> 0:23:49.040
<v Speaker 1>I have a slight addiction to skiing, and then retiring

0:23:49.080 --> 0:23:52.359
<v Speaker 1>from Netflix, rather than do a sailboat or something like that,

0:23:52.680 --> 0:23:56.320
<v Speaker 1>I decided to take over a ski resort and try

0:23:56.359 --> 0:23:59.320
<v Speaker 1>to make another Yellowstone Club, but one that was sort

0:23:59.320 --> 0:24:02.639
<v Speaker 1>of more artists, Dick, and I'm a visitor else don

0:24:02.720 --> 0:24:06.000
<v Speaker 1>not a member. But it's a great place. But to

0:24:06.040 --> 0:24:08.119
<v Speaker 1>do something like that, yeah, So I've been learning the

0:24:08.119 --> 0:24:11.960
<v Speaker 1>real estate business. It's a real turnaround. It's a very

0:24:12.000 --> 0:24:15.240
<v Speaker 1>different thing for me. But when you've got overwhelming capital

0:24:15.320 --> 0:24:20.639
<v Speaker 1>relative to our project, things are pretty easy. So I

0:24:21.000 --> 0:24:24.640
<v Speaker 1>can't say it's it's it's gonna work out great for customers.

0:24:24.920 --> 0:24:27.160
<v Speaker 1>I'm not sure it'll be the best investment I ever made,

0:24:27.520 --> 0:24:29.920
<v Speaker 1>but I do love it. But you get to snowboard

0:24:29.920 --> 0:24:32.040
<v Speaker 1>a lot, but I get to snowboard all winter like

0:24:32.800 --> 0:24:34.920
<v Speaker 1>Powder Mountain. Utah's fantastic place.

0:24:35.080 --> 0:24:37.320
<v Speaker 3>Check it out. Thank you, thank you so much.

0:24:37.359 --> 0:24:39.720
<v Speaker 1>Really what an honor. Thank you all, thank you all.