Bannon's War Room - WarRoom Battleground EP 216： The World Economic Forum And The Rise Of AI

00:00:00.000 This is what you're fighting for.

00:00:21.000 I mean, every day you're out there.

00:00:23.000 What they're doing is blowing people off.

00:00:26.000 If you continue to look the other way and shut up,

00:00:30.000 then the oppressors, the authoritarians,

00:00:32.000 get total control and total power.

00:00:35.000 Because this is just like in Arizona.

00:00:37.000 This is just like in Georgia.

00:00:38.000 It's another element that backs them into a quarter

00:00:41.000 and shows their lies and misrepresentations.

00:00:43.000 That's why this audience is going to have to get engaged.

00:00:45.000 As we've told you, this is the fight.

00:00:47.000 All this nonsense, all this spin, they can't handle the truth.

00:00:51.000 War Room Battleground.

00:00:53.000 Here's your host, Stephen K. Bannon.

00:00:56.000 I had a long conversation about AI with a bunch of people.

00:00:58.000 One of the theories that came out of it was that AI evolves in a series of S's.

00:01:01.000 So you have machine learning, you have deep learning, you have GANs,

00:01:05.000 and then you have large language models.

00:01:08.000 And each of these advances makes a big splash,

00:01:10.000 and then it levels off, and then it improves.

00:01:12.000 But what happens is that you have different models of AI

00:01:14.000 that make a splash kind of every year.

00:01:16.000 But then you can get into neurosymbolic, you can get into how do you include knowledge inside AI,

00:01:20.000 which is today not.

00:01:21.000 It's just blindly looking at data.

00:01:23.000 All of these are yet to come.

00:01:25.000 And I believe they will come.

00:01:26.000 It needs to be put to use at scale.

00:01:28.000 And what you see with technology a lot is it's gradual and then sudden.

00:01:32.000 While that's an interesting way to think about the technology,

00:01:35.000 the focus has to be, which is a big part of what we do,

00:01:39.000 is how do you get the adoption?

00:01:41.000 And that's what we're working on in many of these cases

00:01:44.000 when you think about the big megatrends,

00:01:47.000 whether it's metaverse or cloud or AI, it's adoption.

00:01:50.000 Sunil, do you agree with that?

00:01:52.000 Yeah, I would say certainly we may be at the moment

00:01:56.000 underestimating what's in store for us through AI.

00:01:59.000 And while we can make fun, sometimes the answers come pretty crazy

00:02:04.000 from ChatGPT, but it's getting very, very powerful.

00:02:08.000 It's really getting there.

00:02:09.000 And as Julie rightly said,

00:02:11.000 you always see these things moving gradually

00:02:13.000 and then suddenly it takes over.

00:02:15.000 Will it displace people?

00:02:17.000 Is there a genuine fear about it?

00:02:19.000 I think we have had so many technological evolutions

00:02:22.000 and every time this debate has come,

00:02:24.000 will we have people displaced, will we lose jobs,

00:02:27.000 especially for countries like India or continents like Africa

00:02:30.000 where there's young and very large population

00:02:32.000 which needs to be employed?

00:02:33.000 This does become a question mark.

00:02:35.000 Will they be replaced?

00:02:36.000 My own view is many of the jobs,

00:02:38.000 existing jobs and skills will be replaced.

00:02:40.000 Yeah.

00:02:41.000 But they will be compensated by many more areas

00:02:44.000 of new discoveries of jobs and work

00:02:47.000 which will come and surprise us.

00:02:49.000 So I remain hopeful.

00:02:50.000 But we must start to at least now think about a life

00:02:54.000 where AI is going to play a very fundamental role

00:02:57.000 in our daily routine, our daily lives.

00:02:59.000 And of course, much more meaningful into areas like material sciences,

00:03:03.000 chemicals, biochemicals, human life issues.

00:03:08.000 That's going to be a very, very profound area to work on.

00:03:12.000 Okay.

00:03:13.000 Welcome.

00:03:14.000 Thursday, 19 January in the year of early 2023 is the first day, obviously,

00:03:18.000 of we've crossed the Rubicon on the debt ceiling.

00:03:21.000 And that gets to what we're going to talk about tonight in a different aspect.

00:03:25.000 Davos.

00:03:26.000 And I realize like people say, oh, maybe Davos is overblown.

00:03:29.000 Davos is, you know, you've got Chris Rufo saying it's not important.

00:03:32.000 You have to understand how the world works.

00:03:34.000 The world is about money, power, and control.

00:03:37.000 And in money, power, control, the railhead of the messaging coming together,

00:03:41.000 networking and messaging and building narratives,

00:03:44.000 narratives that are part of the program, comes in places like Davos.

00:03:49.000 It's not totally exclusive.

00:03:51.000 There's others.

00:03:52.000 Obviously, the G20 meetings, now COP.

00:03:54.000 We're going to go to COP 28.

00:03:57.000 COP is big because it talks about climate change.

00:04:00.000 But don't let people downplay Davos, even though they're not,

00:04:03.000 they don't have the A-list there of celebrities, because quite frankly,

00:04:08.000 we've been able to make sure people understand how the demons,

00:04:14.000 this is how demonistic it is.

00:04:17.000 I don't know.

00:04:18.000 I think I made up a word.

00:04:19.000 But here you see things that happen years in advance,

00:04:21.000 and it's what people are putting capital back of.

00:04:24.000 It's what people are working on.

00:04:25.000 This is where you have global corporations, all the hedge funds,

00:04:27.000 venture capital, all the media is there.

00:04:30.000 But we've been able to bring enough to light to wave off the celebrities,

00:04:34.000 to wave off people that are worried about their brand some way,

00:04:37.000 to wave off a lot of the politicians that wanted to go.

00:04:40.000 The Mike Gallagher is a perfect example.

00:04:42.000 Mike Gallagher is a congressman that's a rising star in the Republican Party

00:04:46.000 from Wisconsin Marine Corps officer.

00:04:48.000 He's going to chair the joint committee on select committee on China, on the CCP.

00:04:55.000 And I think we were able to on air and with other aspects.

00:04:59.000 That's not a good look to be at Davos with the globalists,

00:05:02.000 and particularly the CCP up to the neck in Davos.

00:05:05.000 Artificial intelligence.

00:05:07.000 And we got some really great clips.

00:05:09.000 Joe Allen is going to join me for the hour.

00:05:11.000 And we played this on the morning show, but I wanted to do it again just to tee it up, Joe.

00:05:16.000 And I want to thank Logan, the team in Memphis, of course, our team here.

00:05:20.000 I wanted to set the stage there because it's so matter of fact the way they're talking about it.

00:05:27.000 This AI is going to be, as we've warned, the convergence on the singularity,

00:05:32.000 the thing that'll probably get out ahead of everything else is artificial intelligence.

00:05:37.000 And it has particularly generative artificial intelligence.

00:05:43.000 Joe, before you go to the other clips, just give me an overview in Davos

00:05:48.000 of what this panel represented.

00:05:50.000 I just want to tell people the heat behind the scenes in the conference room was not on climate change.

00:05:57.000 It's not on mental health.

00:05:58.000 They're very important narratives.

00:05:59.000 They're pushing.

00:06:00.000 It's clearly on the VAX.

00:06:01.000 They're trying to stay away from that, although they're pushing it.

00:06:03.000 It was on artificial intelligence.

00:06:05.000 Joe Allen.

00:06:07.000 Yes, Steve.

00:06:08.000 There are two aspects to artificial intelligence that I'd like to hit right away.

00:06:13.000 The first is the more practical.

00:06:15.000 You have all of these different corporations, government agencies, biomedical corporations and institutions.

00:06:23.000 All of them are basically putting faith and reliance in artificial intelligence as a way to better organize

00:06:31.000 not only the information that they've got coming in from these massive flows of data,

00:06:36.000 but also to actually kind of organize the institutions themselves.

00:06:40.000 It has profound impacts on the way people understand the information coming in.

00:06:46.000 So, you know, people have dismissed the World Economic Forum as some sort of, you know, right wing conspiracy theory topic.

00:06:54.000 And there's plenty of ammo for that.

00:06:56.000 But there is a very sane way to look at this.

00:06:59.000 You have the wealthiest people in the world gathering to share ideas and, of course, in the back rooms to hammer out deals.

00:07:08.000 And the agendas put forward there don't just seep into the economic and political structures across the Western world

00:07:16.000 and in other Eastern and Southern hemisphere nations.

00:07:19.000 But in the U.S., you have really kept me apprised of this, how huge the impact of the World Economic Forum is on the West.

00:07:28.000 And so artificial intelligence becomes the sort of icon that people are holding up,

00:07:33.000 not only for economic purposes, but also for the understanding of the world.

00:07:37.000 Now, only touch on this for just a second, but it also represents the central focus of transhumanism.

00:07:44.000 Every time you see all of these major corporations rallying around artificial intelligence,

00:07:50.000 and when you see the actual progress of artificial intelligence,

00:07:54.000 you are basically witnessing the timeline of reality begin to catch up with the projections of where transhumanists see us going.

00:08:06.000 For them, artificial intelligence will be God on Earth.

00:08:11.000 We live in a dead cosmos and artificial intelligence will be a superhuman power,

00:08:17.000 which will be better able at organizing our minds, organizing our lives and organizing the societies we live in.

00:08:25.000 That is the faith that transhumanists hold to.

00:08:29.000 And so if we could go ahead and go, actually, Logan, if you could just play the biotech film.

00:08:36.000 Hang on.

00:08:40.000 I wanted to talk about who those players were, because as a matter of fact, what these people are saying is so revolutionary about the structure of human society and culture.

00:08:50.000 They essentially said, and I want to make sure the artist understands this, and I can tell you by, and this is what we've warned about, that these things start accelerating at an accelerating rate.

00:09:01.000 The pickup on artificial intelligence is ahead of the curve.

00:09:05.000 What they're rolling out now, I think, is ahead of the curve where people thought it's going to be.

00:09:09.000 And they're talking about, yes, people, the younger people, particularly in Africa and Asia, it's going to totally not just disrupt industries,

00:09:16.000 it's going to disrupt the way you actually live, and that they're going to have to adapt to it.

00:09:21.000 Just give me a quick summary of this panel, which was the most prestigious panel on artificial intelligence they had, where literally, if you're paying attention and understand the buried leads, they're dropping one bomb after the other.

00:09:34.000 Joe Allen.

00:09:36.000 So the Indian man who spoke the most, that is Sunil Bharti Mittal.

00:09:42.000 He is the head and the founder and chairman of Bharti Enterprises, an Indian telecom company.

00:09:50.000 You had Julie Sweet, who is the head of, sorry, Accenture.

00:09:58.000 I can never remember that.

00:10:00.000 Julie Sweet, the head of Accenture, which is a metaverse company.

00:10:03.000 They're one of the few metaverse companies that is actually thriving right now.

00:10:07.000 And as you heard her talking about, the goal at this point isn't necessarily technological development, although there's some kinks to be ironed out.

00:10:15.000 The big goal is to get adoption of these technologies.

00:10:20.000 That's been the real resistance point.

00:10:22.000 People have not been as interested in virtual conferences as they had hoped, although it should really be emphasized that these things have really taken off in the industrial sector and also in training.

00:10:35.000 So like for mechanics, especially large scale machinery and also for medical school training.

00:10:42.000 Virtual reality is used regularly just as a matter of practice.

00:10:46.000 Then you had Arvind Krishna, the CEO of IBM.

00:10:51.000 Of course, that's the company that created and now houses Watson, one of the most powerful artificial intelligence systems on Earth.

00:10:59.000 And then, you know, the guy who is running the panel is Thompson, Nicholas Thompson, who's now CEO of the Atlantic, was the editor in chief of Wired magazine.

00:11:13.000 He, you know, this is a guy who's been on top of technology basically his entire career.

00:11:19.000 He is not being disingenuous when he says that these technologies really are on the up curve.

00:11:26.000 Right. That this S curve that they keep talking about is just it's basically the exponential ramping up the technologies and then a sort of leveling off and continual improvement.

00:11:36.000 Of course, the transhumanist goal and ideal is for that exponential increase to just keep going and going towards the singularity. 0.91

00:11:45.000 But these are major, major players.

00:11:48.000 And again, they are putting faith in artificial intelligence as being the next real organizing principle of their industries.

00:11:57.000 And then as it trickles down into our societies, our politics and in our personal lives.

00:12:04.000 Go ahead. You take it. You take the deck.

00:12:06.000 I'll keep the you take the con. I'll keep the deck.

00:12:09.000 You get the Logan. Let's walk through the clips you want to play and we'll respond to each one.

00:12:14.000 Yeah. Logan, if you'd hit biotech, please.

00:12:17.000 We have Jason Kelly, who is co-founder and CEO of Ginkgo Bioworks.

00:12:22.000 And Ginkgo is building platforms to enable customers to program cells as easily as they could program computers.

00:12:30.000 That's your dream. And so here we sit today.

00:12:34.000 And I think there's three technologies that have come together.

00:12:36.000 Laboratory automation, which generates huge reams of data about how biology works.

00:12:43.000 OK, so we've moved away from a scientist at the bench working by hand to robots doing it.

00:12:47.000 What do you do with that data? Machine learning and AI.

00:12:50.000 You can now analyze that data thanks to our compute power.

00:12:53.000 Number two, CRISPR.

00:12:55.000 Updated tools, molecular biology tools, CRISPR, things like genomic barcoding that allow you to now have way more control over where you want to insert DNA across an organism and DNA synthesis that allows you to make that DNA.

00:13:07.000 Finally, the learning side of things is genomics.

00:13:11.000 So because we've had a revolution in our ability to read DNA over the last 30 years, we now have huge corpuses of raw DNA data from nature that we can mine to find new biology to develop new products.

00:13:23.000 You know, we have a very prolific drug discovery engine that, as I mentioned, takes advantage of all the biomedical data we can ingest over the past four and a half years.

00:13:33.000 And it really gives scientists superpowers, especially the pandemic.

00:13:37.000 You know, it is literally shown as a mirror.

00:13:39.000 The power to leverage AI, the power to leverage quantum computing, the ability to harness, you know, augmented reality, combine it with, of course, the power of science, and enhance it by these technologies.

00:13:52.000 I think you have a number of solutions even cutting across the first world, second world, and the third world.

00:13:58.000 In the WEF, over the last three days, I don't think there's been a single session where climate change was not discussed.

00:14:03.000 Industrial biotechnology, again, the power of industrial biotech to come out with resilient solutions, you know, to the climate changing situations is, again, hugely undermined and hugely underestimated.

00:14:14.000 Particularly in the EU, there's a lot of, I mean, you know, climate is top priority.

00:14:18.000 Actually, all the big regulations that are driving sustainable aviation fuel and all that stuff is coming out of the EU.

00:14:23.000 The technology that's going to deliver that is industrial biotechnology.

00:14:27.000 It really is, right?

00:14:28.000 If you look at food systems, it's a huge contributor.

00:14:30.000 That's going to be revolutionized.

00:14:32.000 Plant-based meats, entirely, you know, a technology of biotech, right?

00:14:36.000 Carbon removal.

00:14:37.000 What is the only scalable thing that takes carbon out of the atmosphere right now?

00:14:41.000 Plants!

00:14:42.000 Plants!

00:14:43.000 You know, right?

00:14:44.000 It's obviously going to be the technology of agricultural biotechnology,

00:14:47.000 if you want to have any impact in the next five to ten years of any type of carbon removal from the atmosphere.

00:14:52.000 Wow.

00:14:55.000 Joe Allen, walk us through that.

00:14:58.000 So, that gentleman that we just saw, Jason Kelly, head of Ginkgo Bioworks.

00:15:05.000 People who have been watching the show for the last six, seven months will remember that Ginkgo Bioworks is the biotech corporation that Renee Wegrezen comes out of.

00:15:17.000 Renee Wegrezen is now the director of the newly formed ARPA-H, the Advanced Research Projects Agency for Health.

00:15:26.000 She has a long history with DARPA, the defense end of those research projects.

00:15:33.000 And you'll also recall that Wegrezen openly acknowledges that biotechnology, particularly genetic engineering, is heading on a trajectory to create a sort of humanity 2.0,

00:15:48.000 in which all the genetic flaws of human beings are ironed out and winnowed away, but also the enhancement of human beings for intelligence, for looks, for even mood patterns, things like that.

00:16:03.000 You'll also recall that the Biden administration signed the biotechnology and biomanufacturing initiative, which used the same language they're talking about earlier, programming the genes in a cell as if you were programming software.

00:16:19.000 This is the sort of hubris we're talking about, funded by the federal government, pushed by an up-and-coming biotech corporation that has these bio foundries, these sort of automated foundries that create and analyze all of these strands of DNA in order to find sort of the perfect brew for various applications in industry and elsewhere, and especially medicine.

00:16:46.560 And then you have this guy on the stage at the world economic forum, talking about how the biotech at the core of his corporation will go forward to basically geoengineer the atmosphere.

00:17:00.820 They hope to create plants that will be enhanced to draw carbon out of the atmosphere or bacteria to draw carbon out of the atmosphere,

00:17:10.540 meaning that you're basically going to have to seed the earth or perhaps seed the ocean.

00:17:18.220 There are many, many, many different sorts of schemes for this with mutant bacteria or mutant plants to draw the carbon out of the atmosphere,

00:17:26.760 basically to put us in control of the weather.

00:17:30.480 This is, I can't really emphasize enough how arrogant these people are.

00:17:36.820 And you can really see it in the way, if you watch the entire segment, see it in the way he kind of batters the EU regulatory guy that was sitting next to him for not really being ahead of this.

00:17:47.460 So they're pushing hard for regulation.

00:17:49.920 But I think the big question in all of this is whose interests will those regulations serve?

00:17:55.540 And I think it's pretty clear that the interests served will definitely be the wealthiest and also really the most kind of leftist inclined in our government and in the various other technology industries.

00:18:09.880 Although we'll see in a moment, there are exceptions to that rule.

00:18:14.340 If we do have a moment, actually, if we could go ahead and roll.

00:18:18.560 Hang on.

00:18:19.920 Hold it.

00:18:20.620 Hold it.

00:18:21.100 Hang on.

00:18:22.180 I want to know at the very beginning, they talked about.

00:18:25.540 The combination of my two favorite topics, artificial intelligence and CRISPR.

00:18:30.680 Explain what they were discussing there, because it's very disturbing.

00:18:34.400 Yeah, this is something we've covered a lot.

00:18:36.680 And so what artificial intelligence does, it gives the corporations working on these sort of new novel proteins a way to predict how mutations will affect the organism in question.

00:18:52.480 Right.

00:18:52.600 So a great example.

00:18:54.240 We covered this a lot.

00:18:56.140 Google's alpha fold.

00:18:58.060 Google's alpha fold has been really pretty astonishing in its ability to go from just a raw gene and take that and predict how the protein will fold and therefore how the protein will behave.

00:19:13.760 What this does is it allows, as he just mentioned, it allows computer scientists basically to do a lot of the work that would have otherwise had to be done in the lab.

00:19:23.820 And it allows that to rocket forward.

00:19:26.640 One of the most immediate impacts of this is going to be in the coming wave of mRNA vaccines.

00:19:32.820 We've covered this a lot, how Moderna in particular has a philosophy in which they see the genetic code as software.

00:19:41.680 They see the human body as a sort of operating system and they see vaccination, mRNA vaccination as information therapy, this sort of bio digital convergence.

00:19:55.280 This blurring of the lines between the physical, digital and biological worlds, as Klaus Schwab would say, with the fourth industrial revolution.

00:20:05.520 And make no mistake, whether or not these new vaccines work, just like we saw with the COVID vaccines, none of these people are admitting that they made a huge mistake there.

00:20:17.960 None of these people are admitting the tremendous sort of overreach of the government and various corporations and forcing people to get these COVID mRNA based vaccines.

00:20:28.420 And so you can be sure that this new wave coming out of Pfizer, coming out of Moderna, this new wave of mRNA based vaccines that are created on the back of all of these advancements in artificial intelligence are going to be, if not delivered to mass amounts of the population as a new human experiment, perhaps mandated on a large portion of the population.

00:20:52.320 You can be sure in more oppressive countries, you can be sure in more oppressive countries, that is exactly what's going to happen.

00:20:57.020 And unfortunately, the more oppressive country category may well include the U.S.

00:21:02.440 It depends on who's controlling the government and who has the ability to put pressure on the corporations at this point.

00:21:09.860 Let's go ahead and have Logan put up your next clip.

00:21:14.740 Yeah, that's Microsoft, Logan, please.

00:21:16.520 And it seems when we look at the fourth industrial revolution, that now in technological development, when you look at the S-curve, we are really at the point where we have the exponential development.

00:21:30.300 Where are we on the S-curve?

00:21:33.000 I sort of think about it as there's one S-curve where we are at the tip, where it's now about deployment, diffusion, mainstream.

00:21:42.660 And then we now have essentially an emergence of a completely new set of technology, which I think is going to be a revolutionary.

00:21:51.260 I think we all feel it will be a revolution, but there is a certain fear, particularly about artificial intelligence.

00:21:58.360 People feel it dishumanizes us and so on.

00:22:01.920 Now, what steps do we need, actually, to make sure that those technologies, particularly artificial intelligence, remain society-oriented and human-centered?

00:22:13.800 Things we think a lot about is how to deploy this technology to empower human beings to do more.

00:22:21.000 The Internet maybe took 30 years.

00:22:22.660 Maybe the cloud and mobile took 15 years.

00:22:25.920 And now, I think we're talking months.

00:22:27.620 We think of both the unintended consequences and the benefits both being something that we harness.

00:22:33.460 So you feel that GPT and similar technology will become very fast, penetrating our lives, business lives, but also personal lives?

00:22:45.560 We all remember in 2007, 2008, sort of that was the last time I would say we had major platforms being born, right?

00:22:53.960 The mobile platform and the cloud platform.

00:22:57.280 And, you know, in the last 15 years, they've gone mainstream.

00:23:00.680 I think that the AI piece in this particular generation of AI is showing that type of, I would say, platform shift.

00:23:09.900 We started the work with OpenAI, I would say, three and a half years ago, when we started building the AI supercomputer in Azure to train these large models.

00:23:19.960 And when you look at GPT-3 to 3.5 to what's coming, these are non-linear developments.

00:23:25.540 So they're showing emergent capability.

00:23:27.860 The fact is that these things by themselves are becoming platforms that I think truly can make a difference.

00:23:34.100 Joe, another scary clip.

00:23:37.980 Explain the participants and what do they tell us?

00:23:42.120 Of course, everybody knows our favorite Bond villain, Klaus Schwab.

00:23:47.820 And that was CEO of Microsoft, Satya Nadella, who's very tightly coupled with the World Economic Forum on a number of projects and initiatives to basically push these sorts of technologies out.

00:24:03.500 It's really important to remember that as people talk about ChatGPT, which is an artificial intelligence platform that allows people to ask it questions and they're doing their best and they've done a kind of a terrifying job at creating a platform that does give coherent answers, even if a lot of times those answers are ridiculous and wrong for now.

00:24:26.780 And even if those answers tend to skew towards the sort of, you know, politically correct territory, that platform, OpenAI is the creator.

00:24:38.740 And OpenAI, of course, initially funded by Elon Musk, has used Microsoft's cloud platform in order to be able to disseminate the apps to the million plus users that it's accumulated.

00:24:56.840 And so, and Microsoft also is important to remember as just, I'm not sure where the deal stands at this moment, but they are looking to invest $10 billion into OpenAI for ChatGPT and Dolly2, integrating basically these artificial intelligence platforms into the larger corporate structure.

00:25:19.520 The importance of all of this is that this wave is coming fast.

00:25:49.520 They're going to be able to find out what they're going to do, they're going to do, they're going to pour the products of artificial intelligence-based intellects and creativity into the wider culture via the old smartphone, which basically everyone on the planet, you know, in the near future at least, certainly in America, everyone is absorbed in.

00:26:07.980 This is huge.

00:26:08.900 They're trying to sell you on this.

00:26:12.020 They're trying to sell you on the idea that it's a good thing, that they overhype it plenty, but it is not overhyped enough for my comfort levels.

00:26:22.180 Oh, no, it's a, it can go, it could become a dystopia quite quickly.

00:26:26.080 That's why we're worried about it.

00:26:28.460 Very, very, very, very, very, very disturbing.

00:26:31.180 And it's the arrogance.

00:26:32.300 It's, I mean, almost like he loves being a Bond villain, just the way he played that right there with the Microsoft guy.

00:26:38.760 Remember, Microsoft also announced 10,000 layoffs of human beings.

00:26:43.380 Homo sapiens, 10,000 got laid off this week.

00:26:47.060 I'm sure they believe that part of that, part of those humans will never have to be rehired.

00:26:52.740 They're coming for the tech jobs.

00:26:54.820 They're coming for the creative, the big creative jobs.

00:26:56.580 They're coming for those plus health care.

00:26:59.340 Okay, short commercial break.

00:27:00.600 Joe Allen returns on artificial intelligence, Davos, and your personal life next in the War Room.

00:27:12.060 Will the lack of a red wave during the midterms lead to a more emboldened Biden, more wasteful government spending, higher taxes, the deepening of inflation?

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00:31:00.040 War Room Battleground with Stephen K. Bannon.

00:31:05.760 Okay, welcome back.

00:31:07.040 Joe, before we go to some more polls from Davos, I got to ask you, just on the AI, what they're talking about.

00:31:13.440 I understand the writers are freaking out because they got a couple of the tech sites, I think, or I think CNET, C-N-E-T,

00:31:20.580 has been putting up articles, not telling people, written by artificial intelligence.

00:31:24.880 I understand the artist's situation.

00:31:26.580 Next week, let's break some time out so we can show some of the art that's being done,

00:31:29.720 because it's quite scary.

00:31:32.760 But I want to talk about it because one of the things coming out of Davos is how they think that the, you know,

00:31:39.820 low-level paralegal type work for law firms can all be done by this now.

00:31:45.080 But specifically what grabbed my attention was healthcare, that they think, particularly in regional locations, et cetera, where you're short of doctors,

00:31:53.100 you'll be talking to a robot or to a computer with artificial intelligence, like a GPT,

00:31:58.740 and they'll take care of the diagnosis on a lot, you know, much more accurate than a human being.

00:32:03.920 Give me a couple of minutes on that.

00:32:05.200 You know, this is something else that we covered at this point probably two and a half years ago, the reliance on artificial intelligence in the healthcare industry.

00:32:16.980 I'm actually right now here in the southeast.

00:32:19.340 I'm around a lot of doctors who are talking about this, radiologists and so forth.

00:32:22.440 And artificial intelligence is moving into the healthcare industry in two ways that I'll hit.

00:32:28.540 One, what you just mentioned, telemedicine.

00:32:31.920 So one aspect of telemedicine, which, of course, they really crammed down our throats with the pandemic

00:32:37.860 because of the supposed fear of doctors contracting illness.

00:32:42.240 Telemedicine means that you're either speaking to a doctor or, more likely, a nurse practitioner via Zoom or some other platform,

00:32:50.540 or you're speaking directly to some sort of advanced large language model or chatbot that's able to give answers

00:32:59.300 and organize, basically, the industry where you would have otherwise, like, you know, human beings doing it.

00:33:06.640 And you also, with ChatGPT, one thing that a lot of people, I'm sure, have noticed,

00:33:11.060 when you go to see your doctor, or especially if you go to see a nurse practitioner,

00:33:15.240 oftentimes you tell them your symptoms and they'll just immediately go over to a computer and start looking it up.

00:33:20.540 Now, that's good. I think it actually, you know, it has increased the accuracy of diagnoses.

00:33:26.680 But what we're talking about, at least in certain people's ideals,

00:33:30.320 is that the artificial intelligence systems, these large language models also being integrated with other systems,

00:33:38.260 are going to creep in as a way to diagnose disease, to basically organize the problems

00:33:44.540 and reach what they believe to be a superior solution.

00:33:48.000 One other aspect, you know, we hit before, artificial intelligence systems have actually proven

00:33:54.040 to be more accurate than human beings in many cases in identifying very small irregularities in a body system, right,

00:34:04.100 in the various organs or tissues.

00:34:07.720 So, in the analysis of cancer screenings, they've proven to be, in many cases with many studies,

00:34:14.860 more accurate than human doctors.

00:34:16.820 They find things that human doctors miss.

00:34:18.920 And also, in the analysis of the vascular system, looking for problems such as clots or the potential for heart attacks,

00:34:26.220 all of that is coming, basically hurtling at us so that the kind of human cognition is going to be,

00:34:33.360 at first they say, sort of symbiotic with the artificial intelligence systems.

00:34:38.320 They already are.

00:34:39.460 But the ideal for many of these people, especially the transhumanist wing,

00:34:44.500 the ideal is to simply move on to a point where the machines take over.

00:34:49.440 The machines will be seen as superior to human beings, and therefore human beings will just be around to kind of hold your hand

00:34:56.240 as the machine takes over all the various, you know, issues in your body and tries to heal you.

00:35:02.000 So, this is really, really serious on a number of levels, especially in the white collar and the professional industries,

00:35:08.280 where that's going to hit immediately people who process information.

00:35:13.740 Let's go ahead and play your very disturbing.

00:35:15.940 By the way, the machines take over by first taking over things like law and medicine,

00:35:19.960 which used to be in communities, particularly when I was growing up as a kid in Richmond,

00:35:24.720 the doctors and lawyers were looked at as the leaders in the communities, right?

00:35:27.720 Now you're going to have artificial intelligence doing everything for you.

00:35:32.080 Let's go to your next clip, Joe.

00:35:35.220 I'm delighted to introduce this press briefing on the Global Collaboration Village,

00:35:41.080 which is an exciting project in the metaverse.

00:35:43.920 One trillion dollars.

00:35:45.940 So, that is what we estimate by 2025, the metaverse will influence in revenue in the private sector.

00:35:54.280 And that really is going to cross three big areas.

00:35:59.120 So, it's super simple.

00:36:00.980 Consumer, enterprise, and industrial.

00:36:04.560 I think we're seeing it almost take off in the industrial space faster than anywhere else.

00:36:10.400 People need to collaborate when they're on a factory floor to repair machinery.

00:36:15.480 And we've been embarked for, frankly, decades on a path where we've been able to collaborate more closely with new technologies.

00:36:24.060 And we're seeing this, you know, obviously accelerate as a result of the pandemic.

00:36:29.740 We all became accustomed to interacting through video.

00:36:33.620 The metaverse is another and the next dimension to this.

00:36:37.080 This particular project, in our view, is of enormous importance for the world because of the role that the World Economic Forum plays in the world.

00:36:49.440 This is an opportunity to create a village without borders.

00:36:54.000 Our aspiration now in 2023 is to take this from what we call private preview to what we always call in our industry GA or general availability.

00:37:05.640 I have to say, for me, it was the first experience to use an avatar.

00:37:12.680 I got so fast, accustomed to it.

00:37:16.740 So, I'm fascinated by the capabilities which we have.

00:37:20.920 But for me, this is the next phase, the next big phase of development in the virtual world.

00:37:30.400 I believe that art of the future is art without objects.

00:37:34.700 It's just pure transmission of energy between the viewer and artist.

00:37:42.500 The first thing that we had to figure out was you had to feel that you were in the room with Marina, not a document of Marina.

00:37:51.680 So, the purest expression of artistic intent can happen.

00:37:56.340 The life is dealing with what is going to stay after I'm not there anymore.

00:38:00.220 It's really like you're facing your own ghost.

00:38:03.200 There is always this great idea of immortality.

00:38:05.800 Once you die, the work will never die because the work of art can continue.

00:38:10.040 Here, I am kept forever.

00:38:12.220 Joe, $1 trillion by 2025.

00:38:21.400 It's already – we're already almost halfway through the first month of 2023.

00:38:25.780 That's upon us right now, sir.

00:38:27.800 You know, as you well know, Steve, I'm no money man.

00:38:32.960 I've got no predictions on that one.

00:38:34.760 Again, they're selling this, right?

00:38:37.900 And so, they're selling it as the future of collaboration and business.

00:38:42.920 They're selling it as the future of –

00:38:43.580 But let me just say, as a guy who was an investment banker, you know, you see industries and they start and they got a billion dollars in revenue or $3 billion of revenue or $5 or $10.

00:38:55.060 Those are massive opportunities.

00:38:57.300 My point is when they're selling this, they're talking about something that's such a game changer just even where business aligns itself.

00:39:04.340 When they talk $3 billion in less than 24 months, that's unheard of.

00:39:09.580 If you go into a pitch and hear, hey, this industry, this sub thing we're working on could be – even as gross as the thing could be a billion dollars in a couple of years, $5 billion in five years.

00:39:20.280 Those even – you have to – when they walk in and say – and people that are credentialized and say $8 trillion in 24 months, you're going to have every venture.

00:39:29.560 The point is it's just like in transhumanism.

00:39:33.680 You're going to have a massive shift to capital.

00:39:35.520 You're going to have people putting so much, and I mean hundreds and hundreds of billions of dollars into this.

00:39:42.700 And this gets back to the ARPA-H, while we have a whole-of-government approach, which is going to put billions of dollars through the weapons labs and everywhere else in this.

00:39:52.380 The point – the aspirations of these people are breathtaking.

00:39:56.020 From someone that's financed industries or financed companies and industries before, it is absolutely breathtaking.

00:40:02.080 And when you think about the amount of money that's been either invested or lost to date, it's pretty audacious, sir.

00:40:07.820 You know, we covered the metaverse a lot last year, a lot.

00:40:13.540 And that was a time when all of these waves of propaganda were coming out about how the metaverse is the future of technology.

00:40:21.340 It's the next internet, basically.

00:40:23.880 And people saw meta tank, and so they thought to themselves, okay, well, that's it for the metaverse.

00:40:28.600 But it's really important to remember, meta is not the metaverse.

00:40:32.700 The metaverse is basically the entire sort of virtual or digital industry.

00:40:38.280 So that you've got – it's the design of creating a sort of parallel universe in which people will exist through augmented reality, through virtual reality, through digital goods like NFTs and other sorts of – you know, the kind of cryptocurrency and things like this.

00:40:57.720 And so it spreads across a lot of different aspects of the technology sector.

00:41:03.340 And it has actually had a tremendous amount of success in education, particularly in medical education.

00:41:11.260 It allows medical students basically to practice surgeries or to explore anatomy without actually having to get their hands dirty.

00:41:19.980 And I've been told by a lot of people who work in various manufacturing or even warehouse sector or warehouse industries that you see augmented reality used all the time, not necessarily with glasses because the glasses are really expensive.

00:41:35.700 Right now, Microsoft has the most advanced, the HoloLens 2, and last I checked, it was well over 1,000.

00:41:42.640 I think it used to be 3,000, somewhere around there.

00:41:45.240 So it's not really used.

00:41:46.020 But where they do use it, they use pads like iPads and things like that in order to examine machinery or in order to basically collaborate and show each other kind of what's going on in the machinery of a system.

00:41:58.980 So just because they haven't really created a virtual reality goggle set and sort of, you know, the software framework that has appealed to the mass public yet, I think there is a huge desire on the part, especially of young people, especially young men, to have virtual worlds that they can immerse themselves into.

00:42:21.920 You see it with video gaming right now, they don't have a virtual reality set that is superior to sitting in front of a big screen TV with a super complicated shooter game or, you know, swords and wizards game or whatever.

00:42:34.520 But I see unless the technology just stalls and comes to a grinding halt, I see no reason why that demand won't be met by the next wave of kind of metaverse or virtual reality technologies.

00:42:48.160 It's one of those things that we'll say, we'll see, but I really do think that as much as there is a desire, unless there's a technical limitation, it's coming.

00:42:59.280 It's just a matter of getting the adoption as Julie Sweet, the Accenture CEO says.

00:43:07.300 And if I could just say one thing about before we move on, whether it's artificial intelligence, whether it is bioengineering, especially engineering your own body, whether it is metaverse technologies or other forms of sort of sensory or mental augmentation.

00:43:24.720 The argument made again and again, whether it's Elon Musk, whether it's Joe Rogan, whether it's Ray Kurzweil, Ben Gertzel, Hugo de Garris, any of these people on the kind of transhumanism wavelength, they all make the argument that those people in the long run over the next 10, 20, 30 years, those people who do not adopt

00:43:47.720 and employ these technologies will be left behind, you will not be able to compete because the people who do adopt them will be superior to you, they'll get the better jobs, they'll be better on the battlefield, so on and so forth.

00:44:02.280 It's really important to remember, though, when you look at this sort of argument from competition, a big part, a big reason why these sorts of technologies become necessary to compete with neighbors is because the technology corporations and those who lean towards these sort of transhumanist worldviews, they are ultimately trying to change the entire sort of ecosystem, so to speak, that we live in.

00:44:28.180 They are trying to change the previous 250,000 year in the making organic human way of life and replace that environment with a new, entirely digitized, entirely technological way of life.

00:44:44.780 And so, yes, of course, at the end of that, should that process actually seep into every aspect of society, then of course you're not going to be able to compete because those are the new rules of the game.

00:44:55.340 And I think that's a really important point to remember, that they are transforming the world in a way that forces you to adopt these sorts of things in order to become or to be a part of society.

00:45:08.700 You see that with digital currency, that's coming down the pike.

00:45:11.720 And we saw it big time with the pandemic, those who would not take an experimental mRNA-based information therapy, as Moderna would put it, into their bodies were, at least for a time, and in some institutions still are, not able to participate in society.

00:45:31.740 This would be a great point if we can go there, if we can go there, hit the Palantir.

00:45:39.020 Let's go ahead and play the other clip.

00:45:40.840 Yeah, hit Palantir.

00:45:43.360 Alex Karp is the CEO of Palantir.

00:45:46.380 It was Peter's idea.

00:45:48.280 Peter Thiel.

00:45:48.920 Peter Thiel, very famous, and co-founder of Palantir.

00:45:53.120 So we got this investment from Incadel, which has always been controversial.

00:45:55.900 It was a really small investment.

00:45:57.840 By the way, I'm progressive, and I think the left is wrong to hate on us sometimes.

00:46:01.400 But in any case, you'll read Palantir, CIA-driven data.

00:46:04.720 In German, it's data octopus, which is my favorite.

00:46:07.980 It's like as if we're hovering, and none of which is true.

00:46:10.280 You got some software that was sold to the Pentagon and or CIA.

00:46:13.820 It was sold, yeah.

00:46:14.920 The In-Q-Tel gave us three pilots, one with the FBI, one with the agency, and one with a more classified part of the DoD, because they were struggling with finding out where terrorists were putting improvised explosives.

00:46:29.400 And we figured that out in our product.

00:46:31.880 By the way, and now it's not just American clandestine services.

00:46:35.520 Probably the clandestine service, almost every, if you're in a Western country, it's your country as well, whether they tell you that or not.

00:46:41.040 We want people who want to be on the side of the West, making the West a better society, more able to defend themselves, protect data protection.

00:46:49.660 And that's not it for everyone.

00:46:50.660 We have a product that is not well-known called MetaConstellation, and that product allows you to take, use algorithms on large data sets to hone in on adversaries over, say, for example, a whole country.

00:47:04.140 And the integration of data from, the infusion of data from satellite, telephones, other sources, classified sources, and then the disambiguation of that so people only see what they are allowed to see on the battlefield.

00:47:15.080 The Ukrainians, then we were asked if we were willing to supply our product philanthropically, basically, for free.

00:47:23.400 And I was very in favor of this because our primary mission is, in fact, to set a global standard for the world for behavior.

00:47:29.860 The product then allowed them, according to this article, to do targeting with, like, a factor of 20 better.

00:47:39.400 The U.S. government has our software and uses it very aggressively.

00:47:46.580 The great companies in military technology are going to be in Silicon Valley, the Ukraine, and Israel.

00:47:53.220 We, in America, Western countries, we should learn also from the Ukrainians what actually worked on the battlefield.

00:48:03.220 If that doesn't scare you to the core of your being, you will have to play for it again, Joe Allen.

00:48:09.200 So, that, I think, really, really drives it home how that's where the rubber hits the road on the competitive edge.

00:48:19.080 Because what Alex Karp is talking about there is if you are not able to afford or get access to Palantir-grade technologies, either through them or someone else, you are not going to be militarily competitive.

00:48:36.680 And this is a point that Eric Schmidt has driven home again and again.

00:48:41.540 And as I've said for a year now, it's one of the points that I agree with him with, agree with him on.

00:48:48.200 But hang on, hang on, hang on.

00:48:49.880 We only got a couple minutes.

00:48:53.420 I understand that.

00:48:54.300 But don't bury the lead.

00:48:56.280 The lead is, the buried lead is that it is being used against U.S. citizens.

00:49:01.380 It is, I mean, he said the government has this software, exactly everything you're talking about.

00:49:06.680 It can be and is being used against U.S. citizens.

00:49:09.680 This is the whole reason we have the weaponization of government, you know, the Church Committee. 0.93

00:49:15.120 This is what Frank Church, that conversation right there, if you juxtapose Frank Church talking to that press conference in, I think, 1973, 74,

00:49:25.740 and warning about what the government had as far as technology then, and you hear Karp right then,

00:49:33.240 Alex Karp's discussion with Rubenstein there at, that's David Rubenstein of Carlisle Group,

00:49:40.180 the multi-headed octopus in Washington, D.C.

00:49:43.640 It is exactly what Frank Church warned about.

00:49:47.720 So I understand they're pitching, hey, don't be part of the CCP, be part of us, all that.

00:49:51.780 But that's a smokescreen.

00:49:54.340 This is to control the technology here.

00:49:57.680 It can be used and can be used, and this is why artificial intelligence makes it more deadly,

00:50:02.200 to basically understand and control your population.

00:50:05.120 I understand that, hey, we did it to make sure IEDs from jihadists, they think that the Trump movement,

00:50:11.940 they think MAGA are jihadists.

00:50:14.140 They think that they are jihadists and not the, actually, the freedom fighters and people standing for the Constitution.

00:50:20.820 Joe, this has been amazing.

00:50:23.220 We just got a minute.

00:50:24.880 Sum up, where can we go?

00:50:27.260 Are you going to pull this together and put it up on your site and up on Word?

00:50:31.060 This thing has been fantastic.

00:50:32.360 What do we do with it?

00:50:33.460 Because I know people are going to want more of this and actually more details about even what we've talked about.

00:50:40.180 Yeah, you'll find all of these cuts at warroom.org.

00:50:44.820 You'll also find the extended cuts on my Getter account because it's a larger account,

00:50:50.760 at J-O-E-B-O-T-X-Y-Z. 1.00

00:50:53.480 You'll find the shortcuts at Twitter, same address.

00:50:56.620 And, of course, you can find the work I've done to try to piece a lot of this together over the course of the last couple of years at J-O-E-B-O-T-X-Y-Z.

00:51:06.040 Steve, I got to say, you hit the nail on the head at the end there.

00:51:09.920 I probably would have babbled forever before getting to it.

00:51:12.300 And absolutely, our government is using these technologies against us.

00:51:19.160 And they will, to the extent that they are allowed and to the extent these technologies give them the capability of doing so,

00:51:25.760 will use it to crush resistance in any way possible.

00:51:29.180 Joe Allen, thank you so much.

00:51:53.280 We'll see you back here in the warm at 10 a.m. tomorrow.

00:51:59.180 Thank you.

Bannon's War Room - January 20, 2023

WarRoom Battleground EP 216： The World Economic Forum And The Rise Of AI

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