Latest / Cultural Wars | America Out Loud News / It’s not artificial intelligence, let’s be clear, it’s imitation intelligence!

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It’s not artificial intelligence, let’s be clear, it’s imitation intelligence! · Cultural Wars | America Out Loud News

• 0:11
  Helping to secure the blessings of liberty to ourselves and our posterity.
• 0:15
  This is the Constitution study on the America Out Loud Network with your host, Paul Engel.
• 0:31
  There's been a lot of talk lately about chat GPT, Grok and the other AI platforms.
• 0:37
  A lot of anthropomorphizing and a lot of assumptions about how AI works.
• 0:42
  What most people don't know is that AI is not really artificial intelligence.
• 0:48
  It's imitation intelligence.
• 0:50
  Hello there, everyday Americans, Pauling here with the Constitution Study, where we read and study the Constitution, teacher action generation be free.
• 0:57
  I'm glad you could join me today.
• 0:59
  You know, we're going to talk about imitating intelligence.
• 1:03
  I know AI is a big buzzword.
• 1:05
  Everything's AI.
• 1:06
  And part of it is marketing.
• 1:09
  But a lot of people don't realize the basic fundamentals of what is called artificial intelligence.
• 1:15
  It's really imitation.
• 1:18
  The original test for artificial intelligence called a Turing test from Alan Turing, right?
• 1:24
  The guy that helped break the Nazi enigma code.
• 1:28
  And his test was if you were interacting generally remotely, right?
• 1:32
  By video, keyboard, audio.
• 1:34
  If you were interacting with a machine and you couldn't tell if it was a machine or a human, then it had passed that machine had passed the Turing test would be considered artificial intelligence.
• 1:45
  But notice it had to imitate a human being.
• 1:49
  This is imitation intelligence.
• 2:04
  Human beings could.
• 2:57
  Well, it can get things right and it can get things wrong.
• 3:02
  So the this trust, this faith, this almost religious devotion, some people have to AI.
• 3:09
  Um they think it's it's like uh like the Matrix or or trans or you know, um Terminator, they think it's actually an intelligence when all it really is doing is imitating what it had been taught.
• 3:24
  AI systems are created with what's called a neural network, and you show it what you you tell you describe what you're looking for, and then you show it, and um when it gets it, you tell this is what I'm looking for, this is what I'm looking for, this is not what I'm looking for.
• 3:41
  And then eventually you start showing it what you're what you want to look for, and um it gives you an answer, and then you correct you correct it.
• 3:50
  If they're right, you tell them it's right, if it's wrong, and eventually through this training, these AIs are designed to quote unquote learn, right?
• 4:00
  You're training it.
• 4:01
  And again, if you train it, if you train a computer that two plus two equals five, it's not the computer's fault when you when you ask it to add two plus two and it comes up with five rather than four.
• 4:12
  It's not the computer hallucinating.
• 4:15
  It was trained poorly, and I see a lot of stuff coming up that's trained poorly.
• 4:20
  But there's actually there's a little more to this.
• 4:22
  So um uh how many of you are familiar with Grok?
• 4:27
  Right?
• 4:28
  This is Elon Musk, this is what's gonna be built into X and all that.
• 4:32
  It's in a large language model, which means it's an AI that's been trained to understand human language naturally processed, a large base of human, and then use that to go do something, right?
• 4:47
  So if you go to Grok and you tell it to uh, you know, uh uh you ask it a question, it's figuring out from your natural language what that question is.
• 4:55
  It goes out and search.
• 4:56
  This is the data that's available to it, most of the internet, and then responds.
• 5:02
  Well, anybody here saying don't trust what you read on the internet, right?
• 5:06
  Just because something's on the internet doesn't mean it's correct.
• 5:09
  And if GROC has not been trained on what sources are reliable and what sources aren't, or to actually compare and validate the data, well, then grok's simply going to respond with whatever it gets.
• 5:22
  But there's another portion of this that I think a lot of people um a lot of people uh haven't thought of.
• 5:30
  You see, part of the marketing of Grok is that it's supposed to be an alternative to all these woke AIs, right?
• 5:36
  The chat GPTs that say, you know, uh uh uh George Washington was black and uh uh America is evil and capitalism never works, and all these things.
• 5:47
  It's supposed to be the alternative.
• 5:50
  But some recent uh studies, some recent investigations found that you know what grok, their their responses is not that much different from the other AI models.
• 6:02
  Not sure someone's out there going, but Paul Grok is supposed to be anti-woke, it's anti-woke, but understand what is grok.
• 6:09
  GROK is a large language model.
• 6:12
  It it's looking at what you type or what you speak, depending on what platform using, and it takes that and it turns that into a query, but what's it querying?
• 6:22
  It's querying the internet.
• 6:24
  And again, if you don't validate it, there's a lot of garbage on the internet.
• 6:28
  Just because it's on the internet doesn't mean it's true.
• 6:31
  I had somebody send me a link the other day to somebody saying to ask me to look at this, and the the guy was making a decision based on a definition he found on Wikipedia, not in a dictionary, not an encyclopedia, Wikipedia.
• 6:47
  Now, Wikipedia is great.
• 6:48
  Wikipedia is an opportunity for people to post with their knowledge about specific topics, but there's no vetting to that data.
• 6:56
  So if you, you know, Grok itself may not have built-in biases, it may or may not, I don't know.
• 7:03
  But I what I do know is that it's still pulling from the same data, and it apparently is not trying to validate the data that it finds, right?
• 7:13
  It's doing it's trusting, but it's not verifying.
• 7:17
  So when you compare its responses to say a chat GPT or to Google's Gemini, it's not surprising you get similar answers because they're all taking although the individual AIs are processing your languages differently when it comes to the data it's searching to answer the query.
• 7:36
  It's searching the same polluted pool of resources, and to my knowledge, there's not an AI yet that's been developed that actually learns how to validate the data that it finds.
• 7:48
  So that's why when someone sends me, you know, well, the AI said this, well, we still have to go out and validate it because there's never been verified.
• 7:56
  It's just uh AI is just another hearsay based on an imitation of human intelligence.
• 8:06
  Now, the other thing people don't think about with these AIs, uh, again, and you could even go so far as say maybe uh uh an Amazon Alexa has some AI behind it because it's doing a a large language model to understand what you're asking it, or a Siri or Apple home pod, is that we are providing a huge amount of data to these large corporations, absolutely free.
• 8:31
  For example, uh Google is currently uh accused in a civil lawsuit of using their Gemini AI to collect data on users' private communications and things like Gmail and uh their the instant messaging and conferencing programs now.
• 8:49
  Again, this has nothing to me, this has nothing to do with AI.
• 8:52
  They're using AI to process the data, but everything you do with Google, Google collects and searches, Gmail, Google Docs, Google Maps, everything that you do with Google, Google is using it to feed their system for advertising and and and data collection.
• 9:10
  These data broke to sell to data brokers.
• 9:13
  The fact that they're using an AI to help sift through it, just says we're gonna take this imitation intelligence and we're going to let it to process because it can process the data faster than humans can.
• 9:28
  But it's not um, this is nothing new.
• 9:31
  I've been telling people about this, it's a reason why.
• 9:34
  Uh, I won't run a Google Android phone.
• 9:36
  Although I did hear about a a Liberty OS, a Liberty phone that uses the open source Android without all the Google nonsense on top of it.
• 9:46
  Uh, I've been trying to do some investigation to that.
• 9:48
  I've been having some problems with it though, but that's that's not the point.
• 9:50
  The point is, again, it's a it's an interface, it's a system, and we never stop to think.
• 10:00
  How much information we are giving to these companies?
• 10:03
  Remember, if you don't pay for a service, you are the service.
• 10:09
  Google doesn't give away Gmail out of the benefit of their heart.
• 10:15
  They give it, they give away Gmail because they're collecting data and everything that goes through Gmail.
• 10:21
  The same with Google Docs.
• 10:22
  They don't let it give, they don't let you use it for free simply out of generosity.
• 10:27
  No, they're using it to collect data that they can then sell to fund these products.
• 10:32
  The same with chat, the same with meat, the same with maps, the same with search.
• 10:37
  All of this information is collected, processed, and used.
• 10:42
  Now, here's the thing's a little interesting from a constitutional standpoint.
• 10:46
  You see, the the class action lawsuit was filed in U.S.
• 10:51
  district court.
• 10:53
  Even though they're alleging that it violated a California law, the California Invasion of Privacy Act of 1967, which prohibits the surreptitious wiretapping and recording of confidential communications without the consent of all parties involved.
• 11:09
  Now, I'm curious if this is a California law, why is this being sued in federal court?
• 11:15
  Where's the federal law or constitution that's a controversy here?
• 11:20
  Because remember, Article 3, in order for an Article 3 court, a federal court to have jurisdiction, it must involve a question or controversy under the Constitution or laws of the United States, or deal with some foreign entity like a public minister or an ambassador or something like that.
• 11:38
  So I'm kind of curious about the standing in all of this and why do it in federal court rather than than state court, unless they're trying to use this to bootstrap a nationwide ban on all of this stuff, which again, um, you know, there's there's a whole other question about the Fourth Amendment and our misunderstanding of privacy.
• 11:59
  You see, when you sign up for Gmail or any of these Google servers, we should get a Google account.
• 12:05
  You basically say, I agree to Google using my data.
• 12:09
  Now, apparently you can turn this off, but it's kind of buried way down in the settings to turn off this particular feature, the AI scanning, but they're still collecting the data.
• 12:18
  And they've been collecting the data long before Gemini existed.
• 12:21
  From the beginning of Google, Google has worked by collecting information about its users, how they search, their first service, searches, how they search, what they're searching for, and how that can create a pattern that can then be used for marketing and other tools.
• 12:40
  So to get back, what we're dealing with, you know, we we want to say, well, it's the art, it's the AI.
• 12:45
  We want to blame it on some machine.
• 12:46
  It's not the AI.
• 12:48
  Gemini AI was used to sift through this data.
• 12:52
  Google collected this data anyway.
• 12:54
  Google AI is basically being used to sift through the data.
• 12:58
  And it's not like it's it's it came up with its own intelligence.
• 13:01
  It is imitating what it has been trained to do.
• 13:06
  Gemini was trained to ingest this data and use it for whatever tools they're using it for, right?
• 13:14
  It was trained to do that by a human being.
• 13:17
  You know, and you know, I'm I'm wondering, are we going to get to the point one day when people realize that AI isn't AI?
• 13:24
  It's I.
• 13:25
  It's an imitation.
• 13:27
  It's a it's it's a again, I'm not saying it's not useful.
• 13:31
  It can have a lot of tools.
• 13:33
  Right.
• 13:33
  I personally don't use AI, but I know some people that use it to gather some initial research for for stories.
• 13:40
  I don't.
• 13:40
  I research my own stories.
• 13:42
  But there are scenarios where when I'm gonna search something on the internet, and uh I may get an AI response, but I don't trust the AI response.
• 13:52
  I still need to verify what it's saying because it's nothing but imitation intelligent.
• 13:58
  It's not the source of all truth.
• 14:00
  It is not a god to be worshipped, it's a tool.
• 14:04
  And like any tool, when used properly, can give you some really good results.
• 14:09
  When used improperly, it can be incredibly dangerous.
• 14:14
  So it comes down to like everything else.
• 14:15
  It's the user of the tool, the the demystification, the dification of these imitation intelligence models that um in in different forms have been used for a lot of years.
• 14:30
  What makes quote unquote AI different is how it goes about being programmed, not the fact that it's still being programmed, it's being trained.
• 14:40
  It's being taught.
• 14:42
  And you know, who's teaching it?
• 14:45
  What are they teaching it?
• 14:46
  And who's verifying that what is being taught is correct?
• 14:49
  And who's verifying that the answers we're getting are correct?
• 14:55
  That to me is the true danger of AI is not the fact that it may take over the world or or take away people's jobs, is that people worship it like a god and think it's going to solve all of our world's problems.
• 15:10
  No, it's not.
• 15:11
  It's just another program.
• 15:13
  It's just another tool that ingests data and spits out the data that its programmers, its trainers want it to spit out in the way they want it to spit it out.
• 15:24
  And while it can do a lot of really interesting and cool things, it's still just a machine.
• 15:31
  It's still just imitating.
• 15:33
  It's a giant imitator.
• 15:35
  The question is, is what it's imitating good or was it imitating bad.
• 15:40
  Now, I've got some other things I want to look at before I go, though, I do have to take a break.
• 15:45
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• 15:55
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• 15:59
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• 21:00
  Join the Constitution study.
• 21:02
  Today we're talking about imitating intelligence.
• 21:04
  And again, it's what they call it artificial intelligence, but it's really imitation.
• 21:10
  We're training systems to imitate what humans do naturally.
• 21:15
  And we do put a lot of anthropomorphizing in it to make them seem more human.
• 21:20
  But again, they're imitating intelligence.
• 21:23
  They were trained a certain way, and they're going to imitate that.
• 21:27
  But guess what?
• 21:28
  It's not just machines that are imitating intelligence.
• 21:31
  And if they're imitating an intelligence that really isn't intelligent, what do you get?
• 21:38
  I mean, it's kind of like uh, you know, if you photocopy a photocopy of a photocopy, you start losing information.
• 21:46
  Let me give you an example.
• 21:47
  This actually comes from North Border, comes from Canada.
• 21:51
  Now, why am I talking about this on the constitution study?
• 21:54
  Because what happens north of the border can just as easily happen south of the border.
• 21:58
  In this case, we have an ostrich farm, a family legacy ostrich farm.
• 22:04
  They've been raising ostriches for decades.
• 22:07
  And uh apparently a couple of their birds tested positive for the was H5N1, the bird flu.
• 22:17
  Now they these were these animals were quarantined.
• 22:22
  They were treated like they were supposed to be, but the governor of Canada basically said because these birds were in the flock.
• 22:29
  They didn't test the rest of the flock, they simply ordered them killed.
• 22:36
  They destroyed uh, I don't know, I think it's hundreds of um animals in the middle of the night, even though the the uh the owner's lawyers actually went to the Supreme Court of Canada to stop.
• 22:51
  They never tested these animals to see if any of them were sick.
• 22:56
  But I why do I bring this up?
• 22:57
  Because something very similar happens in the U.S.
• 23:00
  If you have a flock of chickens or turkeys and a single animal tests positive, they destroy the entire flock.
• 23:07
  You want to know why why eggs were so expensive earlier this year?
• 23:11
  It's because of this crazy draconian policy.
• 23:14
  And again, not based on logic and reason, certainly not based in science, but faced in somewhere between fear and totalitarianism.
• 23:24
  You see, the the problem is okay, an animal gets sick or an animal tests positive, but did they get sick?
• 23:32
  See, the intelligence says if I have an animal that tests positive for disease but does not show symptoms, they have immunity from this disease.
• 23:41
  And guess what?
• 23:42
  In many cases, they can pass that immunity onto their offspring.
• 23:47
  So do we take this as an opportunity to create a a what do we call uh herd immunity?
• 23:56
  No, the state says you got to kill them all.
• 23:58
  Well, not all of them test positive, doesn't matter, you got to kill them all.
• 24:03
  Now, this thing in Canada has gotten a lot of attention because uh, you know, the this ostrich lines, the ostriches live for decades.
• 24:11
  These are not young animals, it's not like a chicken, you know, it's not like they're even flight, they're flightless birds, it's not like they can fly off and and harm another another flock.
• 24:21
  Um, you know, there's there's I understand the need for for uh um for quarantining for cleaning, but before you wipe out a family, not just a family's source of income, their heritage.
• 24:38
  Intelligence would say, let's make sure we're only killing the ones we have to kill.
• 24:44
  But that's not what happens.
• 24:46
  So when that intelligence is the one that gets promulgated by this imitation intelligence, it shows us two things.
• 24:53
  One, um, unintelligent decisions are not limited to machines, right?
• 25:01
  It's not that the that these quote unquote AI systems have the problem, it's the intelligence behind them.
• 25:08
  I mean, the this now granted, this is Canada.
• 25:11
  They don't have the the our constitution, which says you cannot be deprived of life, liberty, or property without due process of law.
• 25:19
  But it happens here in the United States.
• 25:21
  Like I said, egg prices went through the roof because the the, I think it was a USDA, said if one bird tests positive, you gotta destroy the entire flock.
• 25:32
  Now, imagine you they did that with the families, right?
• 25:35
  If if one family tested positive for COVID, we have to destroy the entire family.
• 25:40
  It's effectively what they were saying.
• 25:42
  Only it was birds instead of people, which I suppose I suppose it's good news they don't treat people, they don't kill them all.
• 25:49
  They quarantine them.
• 25:51
  They try to get them all locked in a house and all that because one person tested positive.
• 25:55
  Oh, by the way, a fraudulent test, a test that shows in in some studies up to a 90% false positive, meaning 90% of the positives are false.
• 26:06
  So most people again, I learned this very interesting.
• 26:09
  These PCR tests that that would that are going around that they used for COVID and they use for this this avian flu.
• 26:16
  What they basically do is they take the sample and they run it through cycles, they do it time and time, reducing concentrating the potential for the virus a certain number of times.
• 26:28
  Now, as I understand it, anything over 45 times, you got a 90% chance, 90 plus percent chance of a false positive.
• 26:38
  These are done 49 times.
• 26:41
  So you have this again, lack of intelligence with the testing, a lack of intelligence with the reaction, a lack of intelligence on this.
• 26:50
  And if these are the people that are generating the data that's feeding the AI, why are we surprised that it comes out with stupid stuff?
• 26:58
  Another example.
• 27:00
  This one actually comes from Denmark.
• 27:02
  Now, how do you remember uh the infamous Alexandria Ocasio Cortez who said who called to eradicate cow flat insulants as part of the Green New Deal?
• 27:13
  The idea is we got to keep cows from farting.
• 27:16
  I guess you can keep a cow from farting, but eventually it's going to explode.
• 27:18
  But no, no, no, no, no.
• 27:20
  There's a much better way of doing this.
• 27:22
  And in Denmark, they started mandating a chemical feed additive called bovar, uh, to the cow's food.
• 27:32
  And it was supposed to reduce their flatulence.
• 27:35
  Now, again, I live on a farm.
• 27:36
  I got cows on this farm.
• 27:38
  I actually rent a bunch of land out for grazing.
• 27:40
  They're cows, and I tell you what, cows fart.
• 27:43
  Oh, by the way, I got horses.
• 27:45
  My daughter has horses on the farm.
• 27:46
  Horses fart.
• 27:47
  We got dogs and cats.
• 27:49
  They fart too.
• 27:50
  And of course, humans fart.
• 27:52
  But unlike all of those other animals, cows are unique in that they have a four-chambered stomach.
• 27:57
  Um, and I guess it creates more farts than other animals.
• 28:03
  So the idea is great.
• 28:04
  We'll put this chemical additive in.
• 28:06
  It'll reduce, you know, it's like uh call it cowbino, right?
• 28:08
  You put it on so the cows don't fart.
• 28:12
  Or at least they don't fart as much.
• 28:15
  Which brings us to this Danish incident.
• 28:18
  One farmer reported that he had six dead cows in a month since the vaccine, the mandate took effect.
• 28:27
  So you have the the Danish government mandating, ordering, telling these farmers you have to use this supplement.
• 28:33
  And now this one farmer has found six dead cows.
• 28:39
  And in fact, uh, there are several petitions to lift this mandate on the Danish farmer.
• 28:46
  Uh, by the way, those who stopped using this um synthetic food additive, say that cows have gotten better.
• 28:54
  But as soon as they go back to using boulevard, their cows become sick again.
• 28:59
  Now, imitation intelligence.
• 29:03
  Cow farts are not driving what they call global warming.
• 29:06
  The climate change, no.
• 29:08
  That is there's no science behind that.
• 29:12
  I mean, in in order to have enough impact on the environment, uh, basically, cows would have to be 10 times their own weight in gas, 10 times your own volume in gas every day.
• 29:23
  I mean, it's it's it is ridiculous.
• 29:27
  Of course, climate change isn't climate change.
• 29:30
  It isn't caused by man-made farming.
• 29:32
  They the all the the the these decent uh scientists, the ones that look at actually data outside of a specific range, can show that uh that's the case.
• 29:43
  Um, you know, the ones that are going after carbon dioxide, in other words, they're trying to go after plant food.
• 29:48
  All right, it's crazy.
• 29:50
  But there's this religion behind climate change that says we have to do everything we can because we're all gonna, of course, we're all gonna die by 1980, uh, then by 1990, but then by
• 30:00
  2000, then by 2010, 2000, we were all supposed to be dead four, five, six times from climate change, and we're not.
• 30:08
  Now, why is this true?
• 30:10
  Well, it's because, in many cases, the models that they use, they model this and a model you could say is it's almost a form of AI.
• 30:18
  You feed it data, it comes data out, data comes out.
• 30:22
  But the models are flawed.
• 30:25
  How do I know they're flawed?
• 30:27
  Because within the time frame that they've that has already passed, their predictions have been proven not just wrong, grossly wrong, tragically grossly wrong.
• 30:40
  But the quote unquote inteligencia says we have to follow this nonsense, even though their models that they used to try and scare the pants off of us have been proven wrong time and time and time and time again.
• 30:55
  What's interesting is if you look at the heat and cold cycles of the of the globe, it actually correlates a bit if memory serves a bit more with the solar cycles.
• 31:07
  In other words, solar radiation, the the emissions from the sun.
• 31:11
  Something we can't control, although there are people that are trying.
• 31:15
  I can't wait to see that disaster.
• 31:19
  But again, if you are in the quote unquote intelligence, the experts that say in order to deal with this, we have to um prevent cow farts.
• 31:31
  Experts say we need this, or the science is settled.
• 31:36
  Then that's not science.
• 31:38
  The consensus is all of these are not science.
• 31:42
  Now, why do I bring this up since this is happening in um this is happening in Denmark?
• 31:49
  Because this additive bovar has been approved by the FDA for use in cattle since May of 24.
• 31:59
  And in fact, uh the FDA says that they have no questions at this time regarding whether bovaire will achieve its intended effect, and it's expected to pose low risk to humans or animals under the conditions for its intended use.
• 32:14
  Okay, we don't know if it's going to be effective, because you don't know if it looks at 10 effect.
• 32:18
  And they expect it to be a low risk.
• 32:22
  Have they done studies on this?
• 32:24
  Have they actually done studies to determine whether or not bovar is even safe for the animals and whether or not it has it it actually makes the meat from the animals and the dairy safe for humans?
• 32:40
  See, we eat cows.
• 32:43
  We eat, we drink milk, we make things out of milk.
• 32:46
  Is this chemical going to end up in the milk and in the meat?
• 32:49
  And what is that gonna have?
• 32:50
  Have they tested that?
• 32:52
  Would it be intelligent to put in place an approval or an unconstitutional though it may be to use a product that we don't know whether or not it is safe, much less effective.
• 33:06
  All in the pr in the pursuit of a religious dogma that says humans are causing global warming when I just saw an article that they're actually expecting the world to get colder now.
• 33:18
  I guess we're going back to the ice age when I was a kid.
• 33:20
  They're always telling us we're going to the next ice age.
• 33:22
  It's gonna be another ice age.
• 33:24
  I guess they're going back to that now.
• 33:26
  But if that's the quote unquote intelligence that these AI systems are drawing information from.
• 33:34
  I mean, imagine you ask one of these things, what can I do to reduce the methane output of my cattle?
• 33:41
  And they say, well, in Denmark, they use a product called Bovar, and they've mandated it.
• 33:45
  And those are really, really, really great.
• 33:48
  Well, sure, there's some stories of cows being sick and dying, but no, no, it works really, really great.
• 33:52
  And the FDA has approved it.
• 33:53
  It's gotta be safe and effective because the FDA approved it.
• 33:56
  Of course, I haven't seen any studies that actually test to see if it's safe and effective.
• 34:02
  But the FDA says it's safe and effective.
• 34:04
  So it must be safe and effective.
• 34:07
  Right?
• 34:08
  Just like, well, the COVID-19 uh quote unquote vaccine, which wasn't legally a vaccine.
• 34:14
  They claimed it was safe and effective.
• 34:16
  Experts say it's safe and effective, even though they never actually did proper safety studies on it.
• 34:21
  And the even the was uh oh, who was it the manufacturer said we never tested us?
• 34:26
  He was effective.
• 34:27
  And in fact, I can prove that the COVID-19 wasn't effective vaccine wasn't effective.
• 34:32
  How many COVID-19 shots did Joe and Jill Biden get?
• 34:36
  And how many times did they get COVID?
• 34:38
  Seems a little very lack of effectiveness to me.
• 34:42
  But you see, if the data sets that these so-called these imitation intelligences are pulling data from, are so biased on one side.
• 34:53
  Well, the FDA says it's safe and effective, so just go ahead and use it.
• 34:56
  Nothing to worry about, nothing to see here.
• 34:58
  Oh, and by the way, it'll help uh reduce climate change, even though we don't think we have any evidence that uh methane from cows um actually generates the global warming that they now call climate change because they couldn't, you know, global warming was just proven wrong so many times.
• 35:17
  Um, you know, if that's the data set that these so-called intelligences are pulling from, they're imitating the same people that are doing the same thing.
• 35:25
  That's why I said it's not it's not that this is um artificial, it's imitation.
• 35:31
  They're imitating what they've been trained, what they've been taught.
• 35:35
  And you know, in the IT industry, we had a good, we had a good term for that.
• 35:40
  Gigo, garbage in, garbage out.
• 35:46
  These things aren't intelligent, they're regurgitating information they've been fed.
• 35:51
  They may be searching for it in a different way, they may be using intelligence to determine how to answer your question.
• 35:57
  But if the data they're they're pulling from is garbage, you're gonna get garbage answers.
• 36:03
  The same way, if a human being, just because they're an expert, just because they have an alphabet soup after their name, but they claim, well, see, trust me, I'm an expert, and I'm drawing this data from these tests that we find out aren't really what they say they are.
• 36:19
  Well, garbage in, garbage out.
• 36:22
  They're imitating the same human intelligences that gave us um mercury, a neural, uh, one of the most toxic substances on earth.
• 36:32
  We put that into vax into vaccines that we gave to newborn and and small children.
• 36:38
  We put aluminum, another toxic substance, and we stick it in the arms and in the feet and in the legs of tiny humans.
• 36:47
  But that's supposed to be that's the intelligent answer.
• 36:51
  What about the dangers?
• 36:52
  Oh, don't can't talk about that.
• 36:54
  That's not allowed to, we're not allowed to discuss that.
• 36:57
  You question the safety, you question the information you've been given on the safety of vaccines, and you're a vaccine denier and you're dangerous to humanity.
• 37:05
  Now, I've got some other things I want to take a look at, but I have another break I have to take, but I want to remind you, our rights are under attack.
• 37:11
  But you know what?
• 37:12
  We don't have to fund those companies that are attacking our right to live free.
• 37:18
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• 37:35
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• 37:45
  Once again, that URL is patriot mobile.com/slash constitution to find a plan that works for you, and don't forget to use the code constitution at checkout to get free activation.
• 37:54
  While you're at it, I recommend you go to AmericaOutloud.news each and every day for news and information.
• 38:00
  Not because they're perfect, but because corporate me has been lying to us, and America Outlaws, a source of great information.
• 38:06
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• 38:07
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• 38:12
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• 40:31
  Welcome back, everyday Americans you've rejoined the Constitution study.
• 40:34
  Today, we've been talking about imitation intelligence.
• 40:38
  Yes, most people call it artificial intelligence, but it isn't really artificial intelligence.
• 40:43
  It's a computer system basically mimicking, imitating the uh intelligence that people have.
• 40:51
  But like every other intelligence, it really matters what its data set is.
• 40:57
  What is database?
• 40:58
  Where is it getting its information?
• 41:00
  And based on that, making decisions and moving forward.
• 41:05
  Now, again, what are the again, classic examples is this whole transgender crazy nonsense movement?
• 41:12
  All right, it's not based in science, it's not based in reality, it's based in feelings and myths, and uh again, not reality.
• 41:22
  But again, if that is your database, if that is the information you're drawing from, well, then maybe some of the stuff makes more sense to you.
• 41:29
  Here's but here's an example.
• 41:30
  I want I want to be careful because that doesn't mean that everything the transgenders do is wrong.
• 41:38
  There is a lawsuit that was filed uh earlier this month uh from uh 17 trans members transgender members of the Air Force who were discharged under the recent executive order banning transgender service in the military.
• 41:56
  But it isn't actually the discharge that apparently is a focus of the suit.
• 42:03
  You see, these people say that uh the Air Force is not just simply discharging them, they're doing things like denying their early retirement.
• 42:13
  These are people who have served between 15 and 18 years in the Air Force, and they simply asked for the benefits that were previously offered to them, but they were told in August that they were no longer uh available.
• 42:27
  Things like early retirement, um, Logan Ireland's a master sergeant with the Air Force, and after 15 years of service, including deployments to Afghanistan, uh, he joined the suit after having his early retirement denied.
• 42:44
  Uh others claim that they and their families lost access to TRI-CARE, the military health insurance program, um, the one that provides access to civilian health care providers outside of the VA.
• 42:59
  Now, from what I've known so far, and I haven't done a deep dive into this lawsuit in this case, but I think these people have a uh have a case.
• 43:09
  They served to my understanding mostly honorably in this service when it was legal for them to do so.
• 43:18
  And now that it's been determined that they are no longer fit to serve, should they be punished by losing the benefits they earned during their service?
• 43:28
  Now, again, depending on your data set, I'm people are saying, yep, kick them out, we don't care.
• 43:35
  Other people saying, well, this is just an attack on transgenders.
• 43:39
  I'm looking at this from a data set that says they may have a point.
• 43:43
  You know, um not being fit to serve in the military is one thing.
• 43:48
  Uh, but if you've worked for years, if you're in the military for years and you've earned these benefits, should you be denied them simply because of because you're no longer fit in a specific scenario?
• 44:01
  Now, of course, this case actually went to the uh, well, they they um they the the plaintiffs sought a petition from the Supreme Court to ban uh the the what was being done to them, um, but the courts decided the Supreme Court decided not to hear it, leaving in place um the proceedings in the lower courts.
• 44:29
  Again, I'm looking at this going, if we're looking at at an intelligence, are we looking at it simply from an intelligence that uh is anti-transgen transgender?
• 44:41
  Are we looking at it from one that's pro-transgender?
• 44:44
  Are we looking at it from one that's looking at the laws of the U.S.
• 44:47
  and the UCMJ?
• 44:50
  Which intelligence data set are you using for this particular uh decision?
• 44:56
  We'll have to wait and see.
• 44:58
  Speaking of the Supreme Court, uh coming in January, it's supposed it's scheduled to hear a case.
• 45:05
  Um actually two cases, uh, one is a little versus Heccox and the other is West Virginia versus BPJ, and it deals with transgender athletes, specifically male athletes competing in female sports.
• 45:22
  Now, the first case, little verticals, heacocks, it revolves around Idaho's Fairness of Women's Sports Act and whether or not the challenge is that uh this court violates the equal protection clause of the 14th Amendment.
• 45:36
  I'm trying to figure out how that's the case.
• 45:38
  Again, you're talking about men participating in female sports.
• 45:43
  Um, when you talk about treating the laws being treated equally under the law, does that mean that uh men have to have access to women's sports?
• 45:53
  And how is that equal for the women that are trying to compete on an equal playing field with men who have a biological advantage?
• 46:03
  See, that's all equal interesting how equal protection varies based on who's getting the equal protection.
• 46:09
  Now, again, if I or anyone else or any any AI, II um looks at a data set, does that data set lean towards the transgender?
• 46:19
  How dare you not allow somebody to participate in a sport simply because of their biology?
• 46:25
  Is it based on a data set that looks at and says, wait a second, there's a again in most sports, a biological difference.
• 46:32
  And does it does recognize that violate the equal protection of the law?
• 46:36
  It says you get equal protection of the law, it doesn't mean that laws apply equal to every that that that laws mean you get the same outcome just because you think it's so.
• 46:47
  Now, the other case, West Virginia versus BPJ, is also deals with a state law barring men from competing in women's sports.
• 46:56
  Um, this one though is really asking about Title IX and asks, can a state uh prevent uh can state actually designate boy sports and girl sports and based on biological sex?
• 47:10
  And again, they keep claiming the equal protection law clause, but again, um these men are not being denied access to sports, they're being denied access to a team over which they have a biological advantage in most cases.
• 47:28
  I mean, I don't see I don't think they've got men and women's chess teams.
• 47:31
  We're talking about sports, where the biology of men and women has a significant difference in how the sport is played.
• 47:41
  And this can be seen by uh, you know, uh boys who are are at best middling in male sports, dominating in female sports.
• 47:51
  So does the equal protection clause mean that women don't have the same equal chance to compete on a fair and level playing field just because someone thinks they can do better by competing against women, and depending on who trains the AI on what data set it's allowed access to and how it's been trained to weight that that that data from that data set, you're gonna get different answers.
• 48:17
  The same way we're gonna get different answers from human beings, because these quote-unquote AIs are actually IIs, they're imitating human intelligence, they aren't actually artificially creating human intelligence.
• 48:31
  And again, where are people, where are the people putting together this information to feed into these uh uh AI systems?
• 48:40
  Uh, for example, the U.S.
• 48:42
  Chamber of Commerce Foundation uh found in 2024 study that um 70% of Americans failed a basic civics literacy quiz.
• 48:54
  That's right, seven out of 10 Americans fail basic literally literacy.
• 48:59
  Another study from out of 2024, this from the American Council of Trustees and alumni found that among college students, only 31% knew that James Madison was the father of the Constitution.
• 49:10
  Only 23% knew that the phrase government of the people by the people and for the people comes from the Gettysburg Address.
• 49:18
  And in the Cato's Institute's uh 2025, Fourth of July National Survey found that uh of the 2000 Americans they surveyed, 53% did not know that the Declaration of Independence was adopted to separate the college from Great Britain back in 1776.
• 49:34
  However, 64% said they believe freedom is at risk in America, and that the founding fathers would be disappointed in how the U.S.
• 49:42
  Constitution is being followed today.
• 49:44
  Now, let me ask you if these are the people in what colleges, universities, and all Americans, if these are the people that are designing these quote unquote artificial intelligences, if they're the ones building the data sets that.
• 50:00
  These systems use.
• 50:01
  If they're the ones creating the data for which these systems, the intelligence for which these systems are imitating, what kind of data you expect to get out?
• 50:13
  How do you expect uh uh these so-called artificial intelligence systems to understand the foundation of this country if the people feeding it data don't know about the the founding of this country?
• 50:27
  I mean, if these students, where are these students getting these ideas?
• 50:31
  Why don't they know?
• 50:32
  And again, the fact that James Madison was the father of the Constitution to me is sad, but not uh devastating, right?
• 50:42
  It's like, okay, that doesn't change what the Constitution says.
• 50:45
  Who was the the person who was probably one of the biggest uh advocates for it and pushing it forward?
• 50:52
  Um the fact that only one in four people know that government of by and for the people comes from the Gettysburg Address, not from any of the founding documents.
• 51:03
  That's that that concerns me.
• 51:06
  Because again, remember, one of my favorite questions is why?
• 51:10
  Where's your evidence?
• 51:11
  What's your proof?
• 51:12
  How do you show me that that what you're saying is true?
• 51:16
  And if these are the people that are feeding the so-called AIs, no wonder these days AIs are just as woke, just as ignorant as the rest of us because of who's feeding them.
• 51:29
  Okay, you know, Elon Musk says we're we're we're gonna not program wokeness into it.
• 51:34
  We're not gonna program a bias into it, but it gets the bias from where it's feeding its data.
• 51:38
  Why?
• 51:39
  Well, because they look at the internet and they haven't learned how to verify.
• 51:44
  That to me is the is the biggest concern.
• 51:46
  I'd love, you know, see a system that could actually look at data and then verify to say if it's true.
• 51:52
  So if they find a paper that says, hey, government of by and for the people is one of the founding documents, they go back to the documents and look and say, hey, wait a second, it's not there.
• 52:02
  This idea that just because you found something in the internet doesn't mean it's true, that you still need to verify it, that you need to go to original sources, not something somebody says.
• 52:13
  And since we haven't figured out how to build that into human intelligence, how are we supposed to figure out how to build that into machine intelligence?
• 52:22
  Hmm.
• 52:24
  I think first we need to be focusing on our human intelligence, the trust but verify that we we look for original sources, that we double check our sources to make sure that we aren't been fed misinformation, that our intelligence is not full of stuff that isn't necessarily true.
• 52:44
  You know, when my daughter was young, I told her, when your mother and I say, because I say so, that's a perfectly valid reason for you to obey us.
• 52:53
  Now she's 25 years old now.
• 52:55
  We don't do that.
• 52:55
  Actually, she's 26 years old now.
• 52:58
  And that's no longer the case.
• 53:01
  She grew up.
• 53:02
  She gained a lot of intelligence because my wife and I trained her.
• 53:08
  Who's training these artificial intelligences and where are they getting their data?
• 53:13
  Maybe we should inform ourselves first.
• 53:15
  Maybe the fact that what um 70% of Americans fail a basic civics literary quiz means we need better data in our human minds before we focus on what we're feeding before we let the artificial minds, the imitation intelligence, take over.
• 53:33
  Let's make sure the imitation intelligence is based on human intelligence that actually has intelligent data.
• 53:41
  It's not simply regurgitating something we read or we heard or we were told.
• 53:47
  You know, I don't use artificial intelligence for any of my content because to me it's just hearsay.
• 53:53
  It's no different than any other hearsay.
• 53:56
  I want the facts, I want the data.
• 53:58
  I want to make sure my intelligence is grounded in truth, not in myth, not in frivolity or political fake science.
• 54:10
  I want to be based on truth and something I can prove, something I can bring evidence of.
• 54:16
  Now, if you like that idea, you know, I got a lot of my ideas when I actually did my own constitution study when I went through clause by clause, the declaration of independence and the constitution.
• 54:28
  And I liked it so much, I decided to write a book.
• 54:30
  It's called the Constitution Study, Returning the Constitution to We the People.
• 54:34
  And that's what it is.
• 54:35
  I went through and I studied these.
• 54:36
  I looked at them.
• 54:37
  I looked at their history.
• 54:39
  I looked at some of the quotes of the drafters and the founding fathers.
• 54:44
  Because I knew that if that if I wanted to follow the Supreme Law of the Land, I had to be sure that what I knew about it was actually true.
• 54:53
  What do I say?
• 54:54
  It's not what you don't know that hurts you, it's what you know that you that just ain't so that really bites you in the backside.
• 54:59
  I wanted to weed through that.
• 55:01
  Now, if you want to take a look at it, you can find it on Amazon, wherever books are sold, or you can go to Constitution Study.com/slash shop.
• 55:08
  You'll find it under the books section.
• 55:11
  You can uh look at it, do your little research, and if you buy it from the website, there's an option to have me sign a copy that I send to you.
• 55:18
  Now, in addition to that book, you can also check out Read the Constitution in 30 days, a daily devotional to reading the Constitution.
• 55:26
  It doesn't have to be hard and complicated.
• 55:28
  A couple two and a half minutes a day, and in 30 days you've read the Declaration of Independence and the Constitution, along with a little commentary from me.
• 55:36
  These are all tools so that our intelligence is based on the facts, the documents, not what somebody said so-and-so said that this document says.
• 55:48
  This whole idea of, you know, constitutional law, first of all, it's not law because at the federal level, all laws made by Congress.
• 55:56
  But it's not law because it's not based in the Constitution.
• 55:59
  It's based on judges' opinions about the Constitution.
• 56:02
  And that's just as dangerous.
• 56:04
  If you're if you're basing the truth on what someone says, what someone's opinion about something is, well, then that's not intelligence, whether it be human or artificial or imitation.
• 56:16
  It's based in bad information, garbage in, garbage out.
• 56:22
  So again, you want to find out more, head to Constitution Study.com slash shop, check, go into the book section section, you can find all the books that I've written.
• 56:31
  And then again, use them and double check everything's footnoted so you can go and find out for yourself.
• 56:37
  Verify that the information, the intelligence I'm trying to share with you is accurate, because that's the ultimate standard.
• 56:44
  Not what an AI says, not what an expert says, what's actually true that I can prove.
• 56:50
  Hopefully, that idea, that philosophy will bring you back to join us here for the Constitution study on America Out Loud Talk Radio heard on the iHeart Radio Network every weekday at 4 p.m.
• 57:00
  Eastern time.
• 57:01
  Now you can listen with our media player, or we have after Apple Android and Alexa.
• 57:06
  You can also listen via podcast.
• 57:08
  Now it does take a day or two for the broadcast to go from talk radio to the podcast, but you can listen in your favorite podcast app.
• 57:15
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• 57:18
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• 57:21
  It helps the algorithm make us available to more people.
• 57:24
  Show us to more people, bring us up in the search list so the more people see us, click the link and join us here for the Constitution study.
• 57:31
  You can find all the links you need at the homepage at AmericaOut Loud.news.
• 57:35
  But please, please share those links, share that information and help share the blessings of liberty to everyone who calls this great nation home.