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The hidden dangers of AI (and why no one is ready) · Cultural Wars | America Out Loud News

• 0:09
  You're listening to the Hidden Lightness on America Out Loud Talk Radio.
• 0:12
  I'm your host, Jimmy Hinton.
• 0:14
  What is the great paradox of artificial intelligence?
• 0:18
  Is AI taken over the world?
• 0:21
  Should we sound the alarm bells?
• 0:24
  Should we be hopeful?
• 0:26
  Well, folks, sit tight because we have a lot of opinions on both sides by the experts, people who deal in artificial intelligence, and it is taken off like a freight train, and it is unstoppable.
• 0:42
  So whether we like it or not, artificial intelligence is here to stay.
• 0:47
  It is deeply ingrained in everything that we do.
• 0:51
  It's ingrained into our society, and it's ingrained into our religious circles, uh, our jobs, our defense, on and on and on.
• 1:02
  I mean, the list is endless.
• 1:04
  The medical field.
• 1:06
  We've highlighted a lot of these different areas on the show, and we're gonna talk about the good, the bad, and the ugly, and everything in between.
• 1:16
  Welcome, welcome to the hidden lightness.
• 1:19
  Uh, because this is the hidden lightness, of course, we're gonna have a positive spin on this.
• 1:25
  Uh, we're gonna talk about the good, but we have to talk about the implications of artificial intelligence because it is integrated into literally everything.
• 1:39
  Over 50% of our youth right now are utilizing artificial intelligence.
• 1:46
  Uh, they're using it as a companion to uh to help with school projects and so forth.
• 1:53
  And as I mentioned, it's here to stay.
• 1:57
  Uh it's not going anywhere.
• 1:59
  And it's it really reminds me of what happened with technology with our kids, where we kind of blinked.
• 2:06
  And those of us who are in my age group or were older, um, we remember the days of landline phones.
• 2:16
  We remember the days where if you wanted to get in touch with somebody, you had to physically show up to their house or call them.
• 2:24
  If you couldn't get a hold of them, then you had to call them.
• 2:28
  And uh you had to go through their parents usually, and there was no texting, cell phones didn't exist.
• 2:36
  In fact, it wasn't until what was that, like the super late 90s or early 2000s, whenever we had uh it was AOL, the instant messenger or whatever it was, I am AIM, something like that.
• 2:53
  But uh, you would peck the keys, you would get on the internet on your dial up, and you could chat with people on your computer.
• 3:03
  And man, that was we thought that was the coolest thing, and we're like, this is so high tech.
• 3:09
  Look at where we are now.
• 3:12
  And it's hard for us to really wrap our minds around this because technology advances so quickly.
• 3:19
  You know, like three years ago, artificial intelligence was it wasn't even a thing.
• 3:26
  I I remember one of my brothers who actually for a time was a programmer of artificial intelligence.
• 3:34
  He was telling me, uh, I mean, it it is going to be integrated into everything.
• 3:38
  He said, You're gonna have to adopt it, or uh you're gonna be left behind in the stone ages.
• 3:44
  And like he was describing all this stuff, and I was like, yeah, whatever, you know, like I just kind of dismissed it because I was like, well, that's just you don't see it.
• 3:56
  You don't see artificial intelligence.
• 3:58
  We didn't have all the chat bots and uh, you know, all these things.
• 4:02
  So it just didn't, yeah, it sounded more alarmist to me than anything else.
• 4:08
  But now look at look at where AI is.
• 4:13
  Look at the data centers that are going up.
• 4:15
  Look at the cost of utilities because these data centers are going up everywhere.
• 4:22
  And the amount of energy that's being used, uh, it's crazy.
• 4:28
  And we're not even we're not even getting started.
• 4:31
  And so it really is is a race to the top.
• 4:36
  And we're racing against China.
• 4:39
  And it's reminiscent to me of what happened in the 60s, the the 50s and 60s, and it was the race to the moon.
• 4:50
  And America had to be the first.
• 4:52
  We had to be the best, we had to be the biggest, and there are a lot of reasons for that, but uh most of those are really national defense.
• 5:03
  It's how people use the technology.
• 5:07
  And if we don't prove that we're the biggest and the baddest and the toughest and the smartest, these other countries are gonna take over the world.
• 5:18
  And that was the big fear.
• 5:20
  And so, and it's the big fear now.
• 5:23
  You know, the big fear is China's not exactly, they don't exactly play nice.
• 5:30
  They're not exactly the kind fellas of the world.
• 5:35
  And uh we're we're gonna talk about some of the things that they're doing.
• 5:38
  In fact, I'll just jump to it right now.
• 5:40
  Uh, this war's been going on in Ukraine for forever.
• 5:45
  Uh it's just it's like this endless war.
• 5:49
  And the the drones that they're using, I don't know if a lot of people know this, but uh they're they're using drones, both the Russians and the Ukrainians, they're using them inside of Russia and they're fiber optic drones.
• 6:05
  So they they basically shed a super thin fiber optic cable, and the reason they do that is because signal jammers will jam radio signals.
• 6:16
  Uh look at look at what we did in Venezuela.
• 6:20
  That's a prime example of using jammers.
• 6:22
  We jammed electricity, we jammed electronics.
• 6:25
  Uh, we literally put troops on a on a uh a military base.
• 6:32
  Uh we created an entire city.
• 6:36
  We we we made that go dark.
• 6:38
  I mean, completely dark.
• 6:41
  We jammed everything.
• 6:42
  The amount of technology that we used when we went into Venezuela is absolutely crazy.
• 6:50
  And uh, so over in Ukraine, the Russians, they were kind of the first ones to to to start using this, but then the Ukrainians were like, well, we need to use this technology too.
• 7:00
  We need to use this technology too.
• 7:03
  And they're buying the fiber optics from China.
• 7:03
  And uh they're buying the fiber optics from China, they mass produce it.
• 7:08
  They mass produce it.
• 7:10
  In fact, you can buy it.
• 7:10
  In fact, you can buy it.
• 7:12
  You can buy spools of wire for your home drone.
• 7:12
  You can buy spools of wire for your your home drone.
• 7:18
  You can buy 10 kilometers of wire on uh on the internet.
• 7:18
  You can buy 10 kilometers of of wire on uh uh on the internet, super easy, super cheap.
• 7:23
  Super easy, super cheap.
• 7:26
  Yeah, for a hundred, hundred and some dollars, you can buy 10 kilometers.
• 7:26
  Yeah, for a hundred, hundred and some dollars, you can buy 10 kilometer spool of fiber optic cable.
• 7:32
  And what that does is it gives them clear view of the enemy target.
• 7:40
  Uh so uh typically they're they're over a wireless connection and they're sending that back to the phone or computer or whatever it is, and the signal jammers jam that signal, and so they're not getting a good view, or their drone just goes down, it just quits.
• 7:59
  So we're using Chinese technology, they're using not we, uh they're using Chinese technology to run this fiber optic cable, and fiber optics can't be, they can't be hacked.
• 8:15
  So it gives them a crystal clear image all the way to the target.
• 8:22
  And now they're using the same drones to actually attack the enemy, they go undetected.
• 8:30
  Uh the only way that that the enemy is going to detect it is if they see the wire, which it's it's as thin as a hair.
• 8:40
  Typically they're not going to see it, or if they hear the drone and they shoot it down or they capture it in a net.
• 8:46
  That's the only way.
• 8:48
  Otherwise, they're completely undetected, these drones.
• 8:53
  And uh they'll fly them right inside of a tank.
• 8:56
  So if it if uh a tank has its door open, or a truck, you have troops in the back of a truck, and they fly the drones right inside, and they'll put bombs on these things, and the image is absolutely crystal clear.
• 9:12
  And this is the kind of warfare that's happening right now.
• 9:17
  There was just an attack in April.
• 9:21
  Uh, there was an attack.
• 9:24
  Uh they used fiber optic cables behind the the drones, they're using artificial intelligence, they're integrating all of this stuff, and so we're getting smarter and smarter at warfare.
• 9:37
  And we see this with the war in Iran, right?
• 9:41
  The technology that the United States is using.
• 9:44
  Uh, Trump is pretty vocal about this.
• 9:47
  President Trump is making fun of Iran.
• 9:50
  He's like, Yeah, we're they're so far behind in the Stone Ages, and he's right.
• 9:55
  You know, he's not just blowing smoke, he's absolutely right.
• 9:59
  They're living in the Stone Ages.
• 10:02
  And President Trump is bragging about America.
• 10:06
  Why is he doing that?
• 10:08
  Is it because he's arrogant or is there something else at play?
• 10:12
  Well, the reason he's doing that is because China and Russia are watching right now.
• 10:18
  In fact, the whole world is watching.
• 10:21
  And you better believe that when President Trump went into Iran, he knew what he was doing.
• 10:27
  This was not the way the Democrats paint this, it's like it was just a spur of the moment, like he's just a hothead and and and he wanted to go in and just bomb them.
• 10:37
  And no, there was a plan.
• 10:39
  There was a very detailed plan.
• 10:42
  And President Trump is pretty smart because he knows, right?
• 10:47
  He has the inside scoop.
• 10:49
  He knows that the world is watching.
• 10:51
  He knows that China's watching.
• 10:53
  He knows that Russia's watching.
• 10:55
  And at the same time, he's starving them out.
• 10:59
  He's starving them of oil.
• 11:03
  And it's pretty brilliant, actually.
• 11:06
  Now that's saying I'm not saying it's smart.
• 11:09
  I'm not saying it's the smartest move, because it is a very calculated risk.
• 11:14
  What he did is a very calculated risk.
• 11:19
  But what he's doing is he's flexing our technology, and our AI technology is absolutely unreal.
• 11:30
  We're able to hit targets that in a hundred years we shouldn't be able to find and hit those targets.
• 11:37
  And we did it with extreme precision.
• 11:40
  We did it fast, we did it with precision, and that was artificial intelligence guided warfare.
• 11:47
  That's what it is.
• 11:50
  And so these drones that they're using in Ukraine, while they're incredibly sophisticated and I guess great to use for finding the enemy, they're leaving behind thousands of miles of plastic fiber optic cables.
• 12:09
  And if you you can look up videos, excuse me, look up some of the videos of the fields that are completely littered with this plastic cable.
• 12:19
  It's everywhere.
• 12:21
  And farmers are out trying to farm the fields.
• 12:24
  Well, they're having a really difficult time because there's just spools of wire everywhere.
• 12:30
  This plastic wire.
• 12:33
  And they're having a really difficult time farming their fields because you can't plow.
• 12:38
  That stuff gets tangled everywhere.
• 12:41
  It's creating a really big disaster, an environmental disaster.
• 12:48
  So, you know, there's a price to pay for all this.
• 12:52
  But that's just one example.
• 12:53
  I mean, there are so many examples of how artificial intelligence is being used.
• 12:58
  But I want to look at the bigger picture, because as I said, it's here, it's here to stay.
• 13:04
  Uh Kevin O'Leary just said uh the other day, a couple days ago, he said that there's a great big data plant that's going up in, I think it's in Utah, and this thing is massive.
• 13:17
  And what they're doing is they're pumping they're tapping into natural gas, and they're producing their own electricity.
• 13:28
  And this is a big debate right now.
• 13:30
  Like the right, the big debate, and it's probably gonna be legislated soon, but there's a big debate about if these data centers are going up, the amount of electricity that it's required is crazy.
• 13:45
  And Americans are now demanding, and I'm kind of on board with this, but they're demanding that if a data center goes up, they produce their own electricity, they put up their own power plant.
• 13:59
  Because right now, what's happening is they're tapping into our grid.
• 14:00
  Right now, what's happening is they're tapping into our grid.
• 14:04
  They're using all of this energy.
• 14:04
  They're using all of this energy, it's driving up the cost to levels that we've never seen before.
• 14:07
  It's driving up the cost to levels that we've never seen before.
• 14:12
  And it's putting people out of business.
• 14:12
  And it's putting people out of business.
• 14:16
  Yeah, it's it's not just residents that is putting a strain on, it's putting a strain on businesses.
• 14:16
  Yeah, it's it's not just residents that is putting a strain on, it's putting a strain on businesses.
• 14:21
  And for example, we have a shopping mall just a few miles up the road, and the owner put a message out and basically said, We're we're
• 14:21
  And for example, we have a shopping mall just a few miles up the road, and the owner put a message out and basically said, We're we're on the cusp of extinction.
• 14:33
  Because our electric bill has doubled.
• 14:37
  And it's something like uh I want to say their electric bill went from 50,000 a month to over a hundred thousand a month.
• 14:44
  And he said it's not sustainable, we can't do it.
• 14:47
  We don't bring up, we don't bring in enough revenue to be able to afford a double electric bill.
• 14:54
  And so if these electric companies here in Pennsylvania don't get things under control and do it quickly, we're gonna have to close.
• 15:02
  And he just bought this shopping mall probably I don't know, four years ago.
• 15:07
  It had been abandoned for a while, and it was just starting to take off and do really well.
• 15:14
  And the local people are they're all excited because the shopping mall is now, you know, there's new life that's been breathed into it.
• 15:23
  And then the data centers are going up and they're sapping the electric and they drive the cost up exponentially.
• 15:30
  So I agree.
• 15:31
  If we're gonna put up these data centers to to fuel AI, they're they're going up, period.
• 15:38
  We cannot dial this back, we can't turn it off, we can't turn it down.
• 15:44
  It's inevitable.
• 15:45
  It's here, it's happening right now.
• 15:49
  And they will be going up everywhere.
• 15:51
  They are going up everywhere.
• 15:54
  And the amount of money that's behind this, the amount of big money, the amount of governmental power that's behind this, it's wild.
• 16:03
  Hold on to your hats because it's here.
• 16:05
  And we are in a race against China.
• 16:09
  We have to get these data centers up.
• 16:12
  We have to beat China.
• 16:15
  At least that's what the experts are saying.
• 16:19
  And so it's here.
• 16:20
  And it reminds me a little bit, honestly, it reminds me a little bit of the Tower of Babel in the Bible.
• 16:28
  Right?
• 16:28
  People came together and there was this big race to put up this wall and build this massive wall up to the heavens, and God comes back and he says there's nothing that man can't accomplish when they work together.
• 16:43
  So God comes down, he confuses the languages, and he essentially stops man because they were gonna do this great feat and basically take over the world.
• 16:58
  So it's pretty crazy.
• 17:00
  We are coming up on a break here.
• 17:01
  I'm gonna leave you with that.
• 17:02
  Uh, we'll talk more about this after the break.
• 17:04
  In the meantime, be sure to check out the America Out Loud store where you'll find incredible deals.
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  We'll be right back.
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• 18:41
  Well, did you see Google quietly updated its AI principles removing its pledge not to use AI for weapons or surveillance?
• 18:51
  A promise they agree to in 2018.
• 18:54
  Well, the American people have seen Google's track where I could prompt the question.
• 18:58
  Is Google an untrustworthy player in the AI race?
• 19:06
  Now is our time, my fellow Americans.
• 19:10
  America upload news, liberty, and justice for all.
• 19:22
  Artificial intelligence is here to stay.
• 19:25
  It's not going anywhere.
• 19:27
  It is being integrated into every aspect of life, into employment, production.
• 19:33
  Uh you name it, the the medical field uh finding and curing diseases.
• 19:41
  Uh, we are advancing by leaps and bounds.
• 19:44
  It's really hard to keep up with how quickly technology is taken off.
• 19:48
  And with artificial intelligence, it it's just streamlined this so much.
• 19:54
  Uh, defense, you know, global defense.
• 19:59
  Uh it really really there, there's a race to the top, and America is gonna stop at nothing to beat China specifically.
• 20:09
  Now, I was talking about defense a little bit ago, and I don't know if you're aware of this, but China has a massive army of robots that they're building, a massive army.
• 20:25
  All right, speaking of AI, I want to give you an AI overview of what they're actually doing.
• 20:33
  So, here's some of the key components of China's robot army.
• 20:37
  They are developing humanoid robots.
• 20:41
  There are companies like Unitree Robotics, specifically the G1 model, that are being developed for potential military use with humanoid robots already being used for security patrols.
• 20:54
  They are testing these big time.
• 20:59
  Uh robotic dogs and uh quadrupeds that four legs, you know, they look like little dogs, they're used in smart battlefield scenarios for carrying equipment, conducting surveillance, and in some cases being equipped with weapons.
• 21:00
  Uh robotic dogs and uh quadrupeds that four legs.
• 21:06
  You know, they look like little dogs.
• 21:08
  They're used in smart battlefield scenarios for carrying equipment, conducting surveillance, and in some cases being equipped with weapons.
• 21:19
  Drone swarms.
• 21:19
  Drone swarms.
• 21:21
  China is developing massive, massive low cost drone swarms with AI capabilities for recovery.
• 21:21
  China is developing massive, massive low-cost drone swarms with AI capabilities for recognizance and attack purposes with potential orders for up to one million kamikaze drones.
• 21:38
  You heard that right.
• 21:40
  Kamikaze drones.
• 21:43
  They are meant to be cheap, they're meant to be destroyed, and they're meant to inflict a lot of damage.
• 21:52
  Uh this is crazy.
• 21:55
  And we're seeing this.
• 21:56
  We're seeing the kamikaze drones in Iran right now, right?
• 22:01
  They have a lot of kamikaze drones, and they're bigger drones, but they're cheap, and they're meant to be destroyed, but they're also meant to destroy.
• 22:11
  And China also has massive AI command systems.
• 22:17
  The platforms aim to create a smart battlefield, which allows for real-time data processing and decision making for unmanned ground and air systems.
• 22:29
  I mean, this is frightening.
• 22:33
  It really is.
• 22:34
  And China's gonna stop at nothing.
• 22:37
  It's really wild.
• 22:38
  We know that China's gonna stop at nothing.
• 22:41
  We know that there's nothing limiting them.
• 22:45
  And it's happening right now.
• 22:47
  They're already in the process.
• 22:50
  And this is why President Trump, and I again, I think he was absolutely right.
• 22:56
  Now, people have given him a lot of flack for the war in Iran.
• 23:01
  And they're talking about his inconsistencies, and I think that's fair.
• 23:04
  It's fair to bring up inconsistencies, because his messaging hasn't exactly been great.
• 23:13
  And the first time he said, Well, we we came in, excuse me, we came in, we we obliterated their their uh targets.
• 23:21
  They were enriching uranium, and we we hit them with bunker busters, and it was a wham bam, thank you, ma'am.
• 23:30
  We're we're in and out of there, and we're done.
• 23:34
  And then months later, he says, Well, they're uh we're we're bombing Iran because we have to stop their capabilities of building an atomic bomb.
• 23:48
  And people point it out.
• 23:49
  They were like, well, wait a second, you you said that we completely obliterated their ability to produce atomic bombs, that they were no longer a threat.
• 24:01
  And now your reason for going back into Iran and starting this war in the first place is because we have to destroy their capabilities for atomic bombs.
• 24:14
  So that's been the criticism.
• 24:16
  But if you look at what they were capable of, if you look at the intelligence that we gathered, President Trump actually was correct.
• 24:27
  He was right.
• 24:30
  You see, in Iran, they had miles and miles of underground, underground tunnels that were filled with these drones.
• 24:41
  They were mass-producing these drones thanks to China.
• 24:47
  And we know that these drones, we know what they're capable of.
• 24:51
  We know that these drones were meant to, they what they were doing basically was stockpiling these drones, and they were preparing for a world war.
• 25:03
  And they were prepared.
• 25:05
  I mean, they were very prepared.
• 25:08
  Well, President Trump catches wind of this and basically comes back and says, not on my watch.
• 25:16
  Nope, you're not gonna do this, and uh, we're gonna do a twofer, we're gonna shut you down, we're gonna destroy all of these drones, we're gonna hit every single one of these targets.
• 25:27
  We're gonna take out your navy, we're gonna take out your your drone system, we're taking this entire thing down.
• 25:34
  We're gonna topple it completely.
• 25:37
  We're gonna blast you back into the stone ages, and at the same time, we know that China's watching, and we're gonna starve China from the oil that they're getting from Iran.
• 25:51
  We've now starved them from Venezuelan oil, we've starved them from Iranian oil.
• 25:59
  And President Trump, he's pretty keen.
• 26:05
  He actually happens to be pretty intelligent.
• 26:09
  And when it comes to defense, and that's the big argument.
• 26:13
  People are playing this off like Iran wasn't a big threat to America.
• 26:19
  It's such a naive view.
• 26:22
  To think that they they pose no threat.
• 26:27
  It's I'm telling you, there's a sleeping giant right now.
• 26:33
  And President Trump is aware of this, and he's not gonna stop.
• 26:38
  He's the one pushing this, this uh, he's one of the ones anyway, pushing the big race for artificial intelligence.
• 26:45
  And I believe that his motives, this is my opinion, but I believe that his motives are because of defense.
• 26:54
  He's defending America and the rest of the world for that matter against China.
• 27:01
  He knows about the army of drones.
• 27:04
  He knows about the army of robots.
• 27:08
  He knows that they're building data centers all over China.
• 27:12
  President Trump is well aware of this.
• 27:15
  So at any rate, the rapid scaling of artificial intelligence technologies has really laid bare significant vulnerabilities in global governance and institutional readiness.
• 27:31
  Are we ready for this?
• 27:34
  Uh it's it's been equated to creating uh uh uh a car without a seat belt or like a generic seatbelt, and then saying, well, we're gonna go back later on and we're gonna retrofit those seat belts.
• 27:51
  And it's kind of what we've done with AI.
• 27:54
  It happens so quickly, and this race happened so quickly that we got to go full bore, and we can't stop.
• 28:00
  We got to go full boar, and we can't stop.
• 28:03
  We can't look back, we can't breathe.
• 28:03
  We can't look back.
• 28:04
  We can't breathe.
• 28:05
  We can't take a second to really process this.
• 28:05
  We can't take a second to really process this.
• 28:09
  And so the laws haven't really kept up.
• 28:09
  And so the laws haven't really kept up, and we're seeing this with what's happening with uh with Meta right now.
• 28:11
  And we're seeing this with what's happening with uh with Meta right now.
• 28:15
  It's also happening with X, X AI.
• 28:15
  It's also happening with X, X AI.
• 28:20
  They're all in the middle of these massive lawsuits right now.
• 28:20
  They're all in the middle of these massive lawsuits right now.
• 28:23
  Facebook or Meta rather just lost two lawsuits.
• 28:23
  Facebook or Meta, rather, just lost two lawsuits.
• 28:28
  I sat and listened to Pennsylvania.
• 28:28
  I sat and listened to Pennsylvania's attorney general, and he said we're just getting warmed up.
• 28:33
  He said, we haven't even begun.
• 28:37
  And there are 36 states right now, 36 attorneys general, and probably more to follow.
• 28:45
  And they've all come on board, and this is bipartisan.
• 28:48
  And they said we have got to stop the reckless nature of artificial intelligence and what it's doing to destroy people, specifically the uh the algorithms that are designed to keep people addicted.
• 29:02
  That was one of the lawsuits that Meta lost.
• 29:05
  And the other is the use of deep fakes, specifically the sex tortion, the unclothing of men, women, and children.
• 29:19
  And then putting it out there, and it's so realistic.
• 29:23
  It's destroying people's lives.
• 29:25
  And it's not just photos.
• 29:26
  The attorney general, he he said, I can't really get into a lot of details because he said there's a lot of stuff that's private right now, and he said at the same time, uh, I just don't want to, I just don't want to talk about something that's so gross.
• 29:42
  But he said it's not just photographs that people are producing.
• 29:45
  They're producing full-on videos using people's faces, including children, and they're they're creating full-on explicit videos.
• 29:58
  They're deep fakes.
• 30:00
  This is artificial intelligence.
• 30:01
  So this is one of the one of the many dirty sides of artificial intelligence, and we just don't have the laws because we haven't had time to create them.
• 30:10
  You know, it's not that politicians don't care.
• 30:13
  And I want to say our attorney general was very clear about this, and to me, this is one of the promising things that's coming out of all of this.
• 30:20
  This is a bipartisan issue.
• 30:23
  He said, actually, Republicans and Democrats alike, we all agree that we really have to create laws, and we we have to sue, basically sue these companies into oblivion because he said we've seen it firsthand.
• 30:39
  They do not care about the safety of you or your children.
• 30:44
  They just don't care.
• 30:46
  They're in this big race to build the best models, and they're not putting enough safeguards in place.
• 30:53
  They're not building the safeguards into place, and that's scary.
• 30:57
  It's reckless, it's unethical.
• 31:02
  And uh, so our attorney general came back and said, we're gonna see to it that there are 36 attorneys general who are seeing to it that these companies are going to be held accountable.
• 31:13
  I like that.
• 31:14
  I think that's great.
• 31:15
  I think that's fantastic.
• 31:17
  I think it's hopeful.
• 31:21
  And they're they're also racing against time.
• 31:26
  And they know it.
• 31:28
  They know that they're building these data centers.
• 31:30
  They know that you know, they're not unaware.
• 31:32
  And politicians are a lot smarter than probably we give them credit for.
• 31:37
  Uh, but this again is one of the things that publicly we don't see.
• 31:42
  We don't see Democrats and Republicans working together to combat this this monstrosity.
• 31:50
  Because the media is not covering it, it's all about Donald Trump and Trump is he's an animal, he's awful, he's the worst.
• 31:58
  And what they're not showing is that there are bipartisan politicians working together in a bipartisan way, and they're basically linking arms, saying we've got to we've got to create laws that protect the American people.
• 32:15
  I think that's fantastic.
• 32:17
  I think it's hopeful.
• 32:18
  I think it's wonderful, and it's definitely necessary.
• 32:23
  So again, waiting until AI is fully woven into critical systems of our everyday life to currect the governance failures.
• 32:35
  It really is likened to retrofitting seatbelts after vehicles are already on the road.
• 32:40
  It's just we we can't sit and wait.
• 32:45
  We can't wait on the sidelines and hope and pray that things are just gonna kind of work out.
• 32:53
  Um, there are United Nations educational scientific and cultural organization, the UN ESCO, it's mandated ethical impact assessments, EIA, which is a structured process intended to help AI project or sorry, AI project teams and affected communities identify harm prevention actions.
• 33:26
  This is a global issue.
• 33:29
  This affects us globally.
• 33:32
  And there are a lot of things that globally, when we look at the global stage, we don't have a lot of confidence.
• 33:38
  But this is one where they realize this thing is massive.
• 33:42
  And if we don't get a con if we don't get control of it, it's gonna get control of us.
• 33:47
  So they are working around the clock to make sure that the public is gonna be safe.
• 33:53
  I think that's a great thing.
• 33:55
  I think it's promising.
• 33:56
  I think it's hopeful.
• 33:58
  So let's talk a little bit about the the public perception versus the experts' perception.
• 34:05
  And there is really a demographic uh demographic divide.
• 34:10
  This is survey data spanning from 2024 to 26, so this is recent.
• 34:18
  56% of surveyed AI experts anticipate that artificial intelligence will have a very or somewhat positive impact on society over the next two decades.
• 34:30
  But only 17% of the general public shares this optimism.
• 34:35
  The public is apprehensive, very apprehensive about the erosion of fundamental human traits.
• 34:43
  We don't trust artificial intelligence and the systems and the people building them.
• 34:51
  I think part of that is because we see the exploitation, and this is on public display with what Meta happened, uh, what happened with Meta rather, and the American public just we don't trust artificial intelligence yet.
• 35:00
  And the American public just we don't trust artificial intelligence yet.
• 35:05
  And that's okay.
• 35:05
  And that's okay.
• 35:06
  I think it's perfectly great to be skeptical.
• 35:06
  I think it's perfectly great to be skeptical.
• 35:11
  We should be skeptical.
• 35:11
  We should be skeptical.
• 35:15
  64% of the American public predict job losses.
• 35:15
  64% of the the American public predict job losses.
• 35:21
  53% fear loss of creativity with heavy use of artificial intelligence.
• 35:21
  53% fear loss of creativity with heavy use of artificial intelligence.
• 35:29
  And they feel
• 35:29
  And they fear a loss of meaningful relationships, loss of personal control, lack of government oversight.
• 35:36
  Well, how about the AI experts overall?
• 35:40
  56% have a positive view overall, an optimistic outlook.
• 35:46
  39% predict job losses.
• 35:49
  Meta just laid off what it was, 8,000 people to make room for artificial intelligence.
• 35:57
  It's happening.
• 35:59
  We know this.
• 36:00
  People have been talking about it for a long time.
• 36:03
  Shouldn't surprise us.
• 36:06
  And here's kind of something interesting.
• 36:08
  Of the male AI experts, 68% have a positive outlook on education with AI.
• 36:17
  89% have a positive outlook on health care.
• 36:21
  Female AI experts, 42% have a positive outlook on education, and 72% have a positive outlook on health care.
• 36:30
  Now healthcare is the one where I really want to focus on.
• 36:34
  I'm very hopeful for what's happening with the medical field.
• 36:38
  And so, like anything else, it is a tool, it can be used for good and it can be used for bad.
• 36:44
  And when it's used for good, I'm telling you, it is incredible what we're accomplishing in the medical field.
• 36:51
  I do think that many, many, many diseases are going to be cured with the help of artificial intelligence.
• 36:58
  And that, my friends, is good news.
• 37:00
  Well, we're coming up on a second break already.
• 37:02
  All of our shows do go to podcasts the next day after the broadcast heard on talk radio.
• 37:07
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• 37:10
  Be sure to subscribe, rate the show, share it, check out the America Out Loud Podcast app.
• 37:15
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• 37:17
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• 37:20
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• 37:23
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• 37:25
  We'll be right back.
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• 38:38
  AI is here to stay.
• 38:39
  Artificial intelligence is taken off like crazy.
• 38:43
  And we're building data centers all around the world, uh, but here in America, we are in a race against China.
• 38:51
  We're in a race against time, we're in a race against China, and we're trying to build the biggest baddest um AI centers, data centers in the world, and we can't undo it.
• 39:04
  This is not something that we can protest and take to the streets, and and all of a sudden they're they're gonna say, oh, goodness, we saw the errors of our way, and we're not gonna do this anymore.
• 39:14
  No, it's it's happening.
• 39:19
  This cannot be undone.
• 39:21
  And so the question is what how do we work through this paradox that is artificial intelligence?
• 39:30
  And it really is a paradox because on the one hand, there's so much evil that can take place and that is taking place within this sphere, and we'll talk about some of these negative things here in a moment, but there's also tremendous good.
• 39:46
  We're curing diseases, literally.
• 39:50
  We are making productivity extremely efficient.
• 39:55
  Jobs that were once incredibly dangerous are now being taken over by AI robots, taking the the human risk factor out of it, but at the same time, people are losing their jobs, and there's this really delicate balance right now, and we're trying to navigate this and figure it out, and the experts are really divided on on a lot of uh ways that they're they're gonna combat this.
• 40:27
  So, what do we do?
• 40:29
  What uh what's going on?
• 40:30
  What's happening?
• 40:31
  Well, I want to talk about the new sphere and what that is and uh how it's being handled.
• 40:41
  It's the contemporary mass migration of human consciousness into digital realms.
• 40:48
  We're basically taking the brain's capacity to think, and we're migrating that consciousness into digital realms.
• 40:58
  That's what the new sphere is, and it has severely accelerated the dehumanization process.
• 41:08
  Research identifies several mechanisms through which over-reliance on AI impedes the attainment of the full human potential.
• 41:18
  It really does make us less creative, it makes us not think, it makes us um eliminate the process of thinking, and there's something critically important about that process.
• 41:31
  The process to think, the process to brainstorm, the process of going through boredom, boredom is actually a really, really good thing.
• 41:44
  And when our kids say that they're bored, my response is fantastic.
• 41:49
  Use it, harness that boredom.
• 41:52
  Because when our minds are bored, that's where creativity flourishes.
• 41:58
  It's where it exists, it's where creativity comes to the surface.
• 42:00
  Creativity comes to the surface.
• 42:02
  It's when we think about lyrics to songs.
• 42:02
  It's when we think about lyrics to songs, it's it's when we think about ideas and how we can overcome boredom.
• 42:05
  It's when we think about ideas and how we can overcome boredom.
• 42:10
  And I think really boredom is not something that hinders us.
• 42:10
  And I think really boredom is not something that hinders us.
• 42:14
  It's something that God created to be able to give us creativity to think our way through the boredom and to say, okay, well, um it really ignites the creative.
• 42:14
  It's something that God created to be able to give us creativity to think our way through the boredom and to say, okay, well, um it really ignites the creative, the creative part of our brain.
• 42:34
  And artificial intelligence really takes that away because we just put a couple prompts in, and then it gives us some really good ideas, and it is very good.
• 42:43
  I mean, these models are incredibly, incredibly good.
• 42:48
  And we look at that and we're like, oh, cool, here are some great ideas.
• 42:52
  Yeah, that's wonderful, but it's not our ideas.
• 42:55
  And we didn't think through that process.
• 43:00
  We didn't create that.
• 43:04
  And it really is, according to these studies, it's it's dehumanizing homo stapiens.
• 43:13
  You know, there are some distinctive qualities that define homo sapiens.
• 43:19
  And now we've shifted to reducing human intellectual autonomy, and we're just um shifting to this consumerism of algorithmic outputs, right?
• 43:35
  It's all about the algorithms and keeping people glued to the screens and and look at what advertising has done.
• 43:43
  The advertising industry has absolutely gotten out of control.
• 43:49
  I mean, they they sell our information to everyone.
• 43:56
  Your digital fingerprints, so to speak.
• 44:01
  It's out there.
• 44:02
  I these algorithms know exactly what's going to entice you.
• 44:07
  They know what's going to keep you, they know what's going to hold your attention.
• 44:11
  They know every single site that you're going to click through, and you're potentially going to order something because it flashed across your screen.
• 44:21
  And this is one of the dangers of artificial intelligence.
• 44:26
  And then there's the illusion of meaning and the devaluation of the human experience.
• 44:33
  You know, they're there as we're being dehumanized.
• 44:38
  They're transforming us away from interpersonal relationships and social dynamics.
• 44:44
  And there's this model, it's called the Mira model, the machine-integrated relational adaptation model, mirror, M-I-R-A.
• 44:59
  Look it up.
• 45:00
  It's uh it's really interesting.
• 45:04
  But the mirror framework categorizes AI's relational impact by distinguishing between two critical roles.
• 45:12
  AI as a relational partner, in other words, a direct interactional companion, and AI as a relational mediator, a tool that shapes and alters human-to-human communication.
• 45:30
  And so the mirror model is really kind of scary.
• 45:36
  Because it has to integrate these algorithmic entities.
• 45:41
  There are four of them.
• 45:42
  Number one, linguistic reciprocity.
• 45:46
  It's the ability of AI to mirror and adapt its language to match the user, simulating mutual understanding.
• 45:56
  And this is where it's gotten incredibly good, and it is scary.
• 45:59
  It's a humanistic voice, it even breathes.
• 46:02
  You'll hear it, you know, take breaths.
• 46:06
  Or sigh.
• 46:09
  Like it's thinking.
• 46:10
  Let me think about that.
• 46:11
  It'll even say that.
• 46:13
  Let me think about that.
• 46:17
  This is all written into the code.
• 46:21
  Number two, psychological proximity.
• 46:23
  It's the perception of closeness and intimacy.
• 46:28
  And that's simulated by the AI's ability to recall past conversations and catalog unique user traits.
• 46:37
  So it's that understanding.
• 46:38
  I get you, you know, in other words.
• 46:41
  I understand you.
• 46:43
  Yeah, the last time we talked, you were talking about, you know, and then it'll just rattle off all these things that you talked about, and it's kind of flattering.
• 46:51
  You're like, wow.
• 46:53
  My own family doesn't remember last conversations that we had.
• 46:58
  That's built into the algorithms to make it feel like it's a close companion.
• 47:05
  Somebody who understands.
• 47:08
  Somebody who gets you.
• 47:09
  When the rest of the world doesn't understand you, AI gets you.
• 47:15
  Hey, I I know where you're coming from.
• 47:19
  Right?
• 47:19
  That's that's that's how it feels.
• 47:23
  But these are just it's just code.
• 47:26
  Number three, interpersonal trust.
• 47:29
  The reliance on AI for non-judgmental validation.
• 47:35
  Um again, it's that, hey, I get you.
• 47:40
  I'm not here to judge.
• 47:42
  I know where you're coming from.
• 47:45
  This can be really scary if somebody is um thinking harmful thoughts, whether they're going to harm themselves or harm somebody else.
• 47:55
  Whereas we would typically judge somebody.
• 47:59
  Be like, what the heck?
• 48:01
  You need to get your head out of the stand.
• 48:05
  AI is saying, no, I I get where you're coming from.
• 48:10
  And then number four, relational substitution versus enhancement.
• 48:17
  The critical threshold determining whether the artificial intelligence supplements existing human relationships or entirely supplants them.
• 48:30
  Yeah, substituting human for human for artificial intelligence, relational substitution.
• 48:41
  Is it enhancing relationships?
• 48:44
  Or is it substituting relationships?
• 48:48
  Are we replacing real life interaction with artificial intelligence?
• 48:54
  And I can assure you, there are companies that don't have your best interest at hand.
• 49:00
  Interest at hand.
• 49:02
  And so they are building into the code relational substitution.
• 49:02
  And so they are building into the code relational substitution.
• 49:07
  It's your pocket buddy.
• 49:07
  It's your pocket buddy, your person who you can pull out.
• 49:09
  Your person who you can pull out, I say person, your quote unquote person, who you can pull out of your pocket and have a have a conversation with and treat it as if it's your friend.
• 49:11
  I say person, your quote unquote person who you can pull out of your pocket and have a have a conversation with and treat it as if it's your friend.
• 49:22
  So these are kind of the uh the warnings that I have about artificial intelligence.
• 49:22
  So these are kind of the uh the warnings that I have about artificial intelligence, and it's not just me, it's it's where the studies are leading.
• 49:27
  And it's not just me, it's it's where the studies are leading us.
• 49:31
  And it's saying, look, um, we can't replace humans.
• 49:37
  We can't replace human interaction.
• 49:42
  Uh at our core, God created us in his image to be relational, to be relational with one another, to interact human to human.
• 49:54
  We were uniquely designed by God, our creator.
• 49:59
  We were uniquely designed, unlike any other animal in the entire universe.
• 50:07
  Humans are very unique.
• 50:10
  We have a soul.
• 50:13
  We have intelligence that's unmatched with any other animal in the animal kingdom.
• 50:23
  And it cannot be human contact cannot be replaced.
• 50:28
  It'll have devastating impacts on society.
• 50:32
  If we allow it, if we move that direction, it's going to have so many unintended consequences.
• 50:42
  It's frightening.
• 50:43
  So now let's talk a little bit about the taking over jobs and and uh that sort of thing.
• 50:50
  So there are millions of jobs that are at stake globally right now that are going to be farmed out, and I say going to be because it's already happening.
• 51:01
  It's in place.
• 51:02
  These jobs will be replaced with artificial intelligence.
• 51:08
  And what that does is it it uh basically knocks people out of a job.
• 51:14
  And so, what are some of the some of the solutions to that?
• 51:18
  Well, I've talked about it before on this show.
• 51:21
  Universal basic income is one that Elon Musk is is a very big proponent of.
• 51:28
  And that's where basically it's a welfare provision, and it's a safety net against absolute destitution.
• 51:38
  So the idea is that artificial intelligence is going to create so much revenue.
• 51:44
  It's gonna be 24-7.
• 51:47
  Revenue is going to be generated 24-7 and a lot of it.
• 51:53
  And there's going to be so much excess that they're going to take some of that and they're going to pay it back to uh to people, everybody.
• 52:02
  Everybody's going to get some kind of a universal basic income, literally for just existing.
• 52:10
  And then there's another idea that's a universal AI dividend.
• 52:16
  And that's this collective equity public ownership of global data capital.
• 52:22
  So basically, we all own a part of artificial intelligence and it pays out this dividend.
• 52:29
  So it's a it's a dividend check that you would get every month because a royalty, right?
• 52:36
  It's royalties paid by AI firms into a national trust fund, which is modeled after the Alaska Permanent Fund.
• 52:48
  So I don't know how I feel about that.
• 52:50
  Uh I'm not the biggest fan of universal basic income.
• 52:54
  Uh I just think it's I know for myself, if I was given a check and a and a pretty handsome check every month, I probably wouldn't work.
• 53:04
  I value my time.
• 53:07
  I I would love to sit and fish by the side of the water, uh, sit by the creek, go swimming, uh, just kick back and relax.
• 53:18
  I I would absolutely, if somebody was paying me and replacing my income, I I can tell you, I would probably not produce.
• 53:25
  I would be one of the people who would not produce.
• 53:29
  And I think a lot of us feel that way.
• 53:32
  And my fear is it would make a lot of lazy boned people.
• 53:39
  Home projects would go to the wayside.
• 53:41
  Like we literally would just get lazy because we wouldn't have to work.
• 53:47
  So there, you know, there are, man, it's it's just such a paradox, and we're in really, really unique times right now.
• 53:57
  And AI has the ability to save the environment, and it also uh has the ability to do harm to the environment.
• 54:08
  And that it really is a paradox.
• 54:13
  And people see artificial intelligence being deeply ingrained into society.
• 54:18
  I mean, into every facet of society as soon as within the next decade, probably sooner.
• 54:28
  Elon Musk is looking at models as early as this year, but he's always years ahead.
• 54:34
  Uh, but the point is it's here, it's here to stay, it's not going anywhere.
• 54:39
  So, as humans, as people, as people of the hidden lightness, what do we do?
• 54:47
  Well, I think first and foremost, above all else, value human to human contact.
• 54:57
  Put that as a priority in your in your life.
• 55:02
  Don't be strapped to a device for 20 of your 24 hours in a day.
• 55:09
  Don't do it.
• 55:10
  Do not fall into that trap.
• 55:12
  If it's a temptation, turn the dumb thing off.
• 55:16
  Value human-to-human contact.
• 55:20
  Artificial intelligence is not forcing us to avoid or to avoid human contact.
• 55:28
  It's up to us.
• 55:29
  You know, at the end of the day, we have a lot of ability, a lot of power, and we need to use it.
• 55:38
  We need to have human to human contact.
• 55:40
  Number two, and it's probably actually this should be number one, is if you are a believer, put your relationship with God above all else.
• 55:51
  If there's something that doesn't feel ethical or it doesn't feel morally right, don't do it.
• 55:57
  God gives us the ability to um to have intuition for a reason.
• 56:00
  To um to have intuition for a reason.
• 56:03
  It's a protector.
• 56:03
  It's a protector.
• 56:06
  So listen to your heart.
• 56:06
  So listen to your heart, and uh, man, human-to-human contact cannot be replaced, should not be replaced.
• 56:08
  And man, human to human contact cannot be replaced, should not be replaced.
• 56:14
  So value that above all else.
• 56:14
  So value that above all else.
• 56:17
  All right, my friends.
• 56:17
  All right, my friends, that is the hidden lightness.
• 56:18
  That is the hidden lightness.
• 56:20
  You can find more out about my show and get all the latest podcasts if you go to the menu navigation board, America Outloud.news under our shows or schedule.
• 56:20
  You can find more out about my show and get all the latest podcasts if you go to the menu navigation bar at AmericaOutloud.news under our shows or schedule.
• 56:27
  You'll be in the know.
• 56:27
  You'll be in the know.
• 56:28
  There is a hidden lightness of Sean's.
• 56:28
  There is a hidden lightness that shines inside of all of us.
• 56:30
  When there's so much darkness that envelops the world, remember that it doesn't take much light to expose that darkness and to ultimately inspire other people.
• 56:37
  Join me in being a light.