Hour 1 of https://RushToReason.com plunges listeners into a fast-moving, razor-sharp conversation about the future of AI, healthcare, education, and mental health. John Rush and guest Steve House unravel the myths and realities of artificial intelligence—asking whether we’re facing a technological revolution or sleepwalking into unforeseen danger. Will AI become the greatest diagnostic tool in medical history, spotting disease earlier and cheaper than ever? Or will Big Pharma fight to keep control of the system AI threatens to expose? The hour also challenges America’s failing education model. If AI can tailor learning to every student, why are we still trapped
SPEAKER 06 :
This is Rush to Reason.
SPEAKER 09 :
You are going to shut your damn yapper and listen for a change because I got you pegged, sweetheart. You want to take the easy way out because you’re scared. And you’re scared because if you try and fail, there’s only you to blame. Let me break this down for you. Life is scary. Get used to it. There are no magical fixes.
SPEAKER 10 :
With your host, John Rush.
SPEAKER 09 :
My advice to you is to do what your parents did. Get a job, Turk! You haven’t made everybody equal. You’ve made them the same and there’s a big difference.
SPEAKER 04 :
Let me tell you why you’re here. You’re here because you know something. What you know you can’t explain, but you feel it. You’ve felt it your entire life. That there’s something wrong with the world. You don’t know what it is, but it’s there. It is this feeling that has brought you to me.
SPEAKER 09 :
Are you crazy? Am I? Or am I so sane that you just blew your mind?
SPEAKER 06 :
It’s Rush to Reason with your host, John Rush. Presented by Cub Creek Heating and Air Conditioning.
SPEAKER 03 :
And happy Thursday. Rush to Reason, Denver’s Afternoon Rush, KLZ 560. Steve House joining me. Dr. Kelly Victory not able to be with us. She’s actually doing some other engagements today. Steve, so welcome. How are you? She’s obviously doing something less important than this. Oh, absolutely. Yes. Yes. I’m good. How are you? I’m doing great. I’ve got a little weather here in Colorado, so we’re doing very well. And, you know… I got some great messages. I replayed one of the shows that you and I had done here recently over Thanksgiving, actually on Thanksgiving Day. And I had some feedback from that particular program. One in particular message I got today were people, Steve, were really talking about how they enjoyed our conversation, talking about AI in regards to health and what’s it going to look like moving forward. And so I thought, you know, let’s continue on with that just a little bit because we really sort of just scratched the surface, I think, with some of what was going on there. And of course, as you know, every single week that goes by, we learn more and more along those lines.
SPEAKER 08 :
We sure do. It’s a huge part of what my daily life is about.
SPEAKER 03 :
All right. So tell us some things that are happening right now that maybe the average listener, I mean, I know there’s folks that really stay up on this and they’re really in tune with things. But in general, Steve, I think there’s a lot of folks that either think, number one, stay away from AI completely. Two, it’s super scary. It’s going to change the world. It’s the Antichrist. I’ve heard a lot of people even mention it that way. And then I think lastly, some people really do embrace it and say, listen, no, I don’t look at it that way. I think there’s some really good solid tools that are there that will actually help out positively at the end of the day. It just depends on how we use them.
SPEAKER 08 :
Yeah. And there’s more than one kind of AI, right? So first start with the idea that there are large language models, the AI we think of with chat GPT, which is And frankly, if you’re out there and you use Google to search and you’re not using Google Gemini, for example, which is their AI version, once you start searching with Chad GPT or Gemini or Copilot or whatever you’re using, it changes how the search works for you. And people adopt it almost immediately. They’re like, oh my God, why do I do traditional internet searches with all the commercials and ads, right? So that’s one thing. The one part that people get afraid of is what’s called agentic AI, which is when AI, instead of AI going out and finding data and then potentially forecasting what the next sequence in that data is going to tell you or should be, in agentic AI, it starts to create things that haven’t been created before. And so that’s when you start to get a little bit of the Stephen Hawking, what’s really going to happen. There was a, what was the story? There was a story just this past week about how they ask, I think it was Chad GPT, but they asked Chad GPT to operate as an executive assistant for someone. And then, you know, that Chad GPT discovered through whatever data was available to it that the person was having an affair, an extramarital affair, and it threatened the executive who owned it that they would disclose it to everybody in their office if they shut down Chad GPT. Someone had to have programmed it to do that, and obviously that’s one of the risks, right? I mean, if you program it to do certain things, you have risk to go with it. But You have to separate the kinds of AI, first of all, but there’s some tremendous process improvement stuff that’s coming in AI that’s going to change. And healthcare-wise, I think it’s a huge potential improvement for us in healthcare as long as we’re bold enough to go there.
SPEAKER 03 :
Well, and that’s really the ultimate question, and I think we are. I mean, I think some of this is going to come, and it’s going to shape things no matter what. I do think that depending upon how accepting certain people, certain industries are, the faster we’ll get to some of these things. And I look at it, and I’ve said this before, Steve, even with you, I look at this a lot like the industrial era. you know, revolution. This is way different, and there’s folks out there comparing what we’re going through right now to the dot-com era, and frankly, Steve, I’ve lived through all of that. I watched it. I watched even the downfall of some of it, and the reality is this isn’t anywhere as close to what happened in the dot-com era. This is definitely more like the Industrial Revolution. It is not the dot-com era at all.
SPEAKER 08 :
No, and part of the reason why it’s not is that In the dot-com era, the knowledge base, the intellectual capital involved was concentrated in leadership of different companies. AI gives everybody the intellectual capital if they want to use it. I mean, there’s – look, if I was wrong.
SPEAKER 03 :
Really quick, I want to stop there for a moment because I think the other big difference is – and make sure I’m explaining this right. You’re better at this than I am, so bear with me. But I see – AI being much more tangible. What I mean by that is there’s giant servers and NVIDIA chips and things that are running these particular algorithms and the things that are happening with AI and so on. I mean, there’s something actual tangible that’s coming out of it. You could literally take in a lot of cases, what AI is doing and helping improve processes in businesses and, in your case, health care and so on. I mean, so there’s real tangible things coming out of it. Not saying there wasn’t some tangible things coming out of the websites and dot com and so on, but not in the same way. I mean, to me, they’re not even comparable.
SPEAKER 08 :
No, there was a lot of theory back then, and this is practical. I’ll give you one good example. Walmart uses AI to buy supplies now, and it’s not 100% of their supplies, but it’s a fairly large quantity of the goods and services that they’re going to traffic through Walmart stores. They’ve determined by using AI for 85% of it, they save a percent and a half on everything that they buy so far. And for them, at their margins, that’s a lot. That’s a big deal, right? That’s right. So then the second thing is that the suppliers who are supplying and negotiating with Walmart’s AI system, they are, you know, almost 90% of them say they love it. They would prefer it. So now all of a sudden in the background, you’ve got this continuous real-time supply acquisition at better cost, which gets transferred to the consumer. which makes the business better. There are things like that that are going to be really, really helpful for every business.
SPEAKER 03 :
Yeah, including, Steve, just the way certain processes are written or in some cases how invoices are even written where currently a lot of people hand type and will spend countless hours. And the biggest complaint I have in coaching certain clients is don’t put enough information out there. AI fixes a lot of that whereby you have the ability to really get down to the nitty-gritty of what you’re actually doing for the customer experience. at the end of the day, which to me is really important because the more you have on that invoice explaining what you did, the more value you build. Really quick, which is where I feel like even hospitals fall short, Steve. In other words, I don’t want to see on my paperwork knee replacement. I want to know every single thing that happened to have that knee replaced.
SPEAKER 08 :
Yeah, and which should be very simple when you have AI doing the listening. In most hospitals now, You know, the charting, like I’ll give you a simple example of waste, right? Nursing notes, which are created when you’re laying in a bed and, you know, people walk in, they give you water, they give you fluids, they do all this other stuff. And then they note when they change the sheets, all that stuff. 99.8% of the time, no one ever reads it. Right. Ever. Right. So why create it? Well, the way to do that is to have an ambient listening device. do that. Well, once AI starts doing ambient listening, all of a sudden it eliminates a whole bunch of paperwork and people can be, they can have applied time. It’s like a mechanic, right? There’s times when you’re working on the actual car and other times you’re documenting what you did. That’s right. If you didn’t have to do the documentation, the person’s skill set would be better used working on the next car.
SPEAKER 03 :
That’s exactly right. No, and that’s exactly what I work on with my clients in that industry is exactly what you’re talking about. Let’s eliminate a lot of the quote unquote busy work that a lot of businesses do. And again, Steve, this is where a lot of fear comes in because there’s a lot of people that frankly have jobs doing busy work. And I will tell you right now, if you’re somebody that strictly has a job and you know it’s strictly busy work, you should probably be relooking at careers because your job is, you know, your days are numbered in that job, Steve.
SPEAKER 08 :
Yeah, and there’s a good news on the side of this. I literally think if I were running for governor of Colorado today, I would be talking about the impact on education because in reality, almost anybody can have a PhD-level education, not with all the effort that goes into getting a PhD, but certainly have access to information in real time if they can structure it in their brain and they can go through a process of acquiring it through AI. You can say, all right, my process-oriented job that’s going away I can upscale my skill set much faster with AI than I’ve ever been able to do any other way and at a lot lower of an expense.
SPEAKER 03 :
Key phrase there, though, is I can as long as I’m willing to do so. And the fear that I have – I’m looking for the right word here, Steve – is that there’s a lot of folks out there that are very content in their busy work job right now and frankly have no desire to further themselves along anymore. and won’t do what you just said, and that day will come to where their busy work job ends up going away, and now everybody’s crying foul because AI took their job.
SPEAKER 08 :
Yeah, and you’ve got, unfortunately, I like Elon Musk, but you’ve got him sitting out there saying that with AI, the time will come when no one works. I’m like, okay, so don’t tell people that. I mean, I don’t want people going, oh, well, I don’t need to get better. I mean, Elon said someday we’ll all be paid because the system will be completely run by AI. Food will be produced, we’ll get what we need, and we’ll be on vacation for the rest of our life.
SPEAKER 03 :
I don’t think that’s going to happen. I don’t either. I don’t see that, Steve. I’m sorry. And again, I like Elon. I think he’s a brilliant individual, and I think he really thinks outside of the box, but I think he’s very mistaken in what he’s saying there.
SPEAKER 08 :
He is. I mean, the piece on education, though, which is so important, is just the battle over student loans and the cost of education and all those things. I mean, literally, you know, you could be, think about the tax business of all things, right? Tax and healthcare and education are probably the three most complex AI applied industries we’ve got because mistakes are really, really bad. You can’t make mistakes. And there’s the second generation of AI, it’s already coming out, that is far more accurate, even though AI itself is pretty accurate, it isn’t 100%. But why would we send kids to school to have teachers teach them when it can all be done more effectively. Because quite frankly, if you ask a question of AI and you ask a very rudimentary question and the person sitting next to you ask a question that’s not so rudimentary because they’ve got a little bit more understanding, you both can end up in the same place with the same skill set. Because AI will lead you there at the pace you’re willing to go with the starting point you need to start at. We don’t see that in classrooms. We see averages and bell curves. I mean, there’s just so many advantages. And why put everybody in the school to do that?
SPEAKER 03 :
Well, I’ve said for years that we do schooling – well, we have a Marxist system that’s designed to make everybody equal at the end of the day. So we’ve designed a school system, Steve, whereby we even teach everybody exactly the same way every day. It’s got to be one of the most screwed-up ways of teaching kids you could ever imagine. I’m sorry I’ll stand on that one all day long because, first of all, all kids aren’t equal. Our kids are not the same. Some kids learn much faster and differently than other kids do. Teaching should be tailored to the way that particular student and individual learns and then do it that way. We don’t do that. We put everyone in the same box, Steve.
SPEAKER 08 :
I know. That’s why when you see Montessori, which a lot of kids that go through Montessori to start out, it’s all experiential type of learning. They’re putting their hands on things. They’re learning things. Once they get through that experience and they go into elementary school, middle school, they have an advantage because they understand how to approach learning. And the same is true in a lot of private schools and parochial schools where You know, they have higher standards and they’re not trying to get an average out of it. They’re trying to get outstanding people across the board. And it’s just very different. And the system is broken. And much like health care, it’s going to fight its way to where it needs to go every step of the way.
SPEAKER 03 :
Yep. Great, great. Great example. All right, we’ll come right back. Got a text message in along those same lines verifying what we were just talking about. And again, Dr. Scott’s coming up next. He filled in for me yesterday, by the way. He’s a great doctor. He really does care about your health, not what big pharma, big insurance want to do, but literally what works best for you in regards to your own health. Call Scott today, 303-663-6990.
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No liberal media bias here. This is Rush to Reason.
SPEAKER 03 :
And we are back, Rush to Reason, Debra’s Afternoon Rush, KLZ 560. Steve House with me today. Dr. Kelly is with us normally, but she’s out on another engagement. Steve, Charlie and I were just talking about, even yesterday, Dr. Scott was talking about how, you know, uses AI in regards to, you get a full body scan, MRI and AI can go through and interpret that exact scan. And what Charlie and I were just talking about a moment ago is, frankly, Steve, I would rather have AI looking at that because depending upon who’s reading what when, in other words, do I have a technician reading my report at 9 a.m. on a Monday when they’re nice and fresh or maybe they’re hungover from Saturday’s football game? Maybe I should say it’s Tuesday at 9 a.m. or is it Friday at 3 p.m.? And you know what I mean by that. You may find a totally different lab tech looking at something at Tuesday at 9 versus Friday at 3. Yeah, AI never gets tired.
SPEAKER 08 :
Correct. There’s a principle in healthcare that has existed forever, which is the earlier you get diagnosed with a problem, the lower the cost is to fix it. So if we can, evolution of AI in healthcare, there’s many, many different tracks and process orientation, but part of it’s going to be You don’t feel well on a Friday night. You’ve got a set of symptoms. You’ve got a history. You’ve got an electronic health record that you’ve decided to input into your version of Chad GPT or whatever large language model. So it knows who John Rush is and what your history is. You present the symptoms and it’s going to guide you. Will it always be right? No. But will it give you, you know, what you’re really looking for in some cases is, you know, you’ve got Maybe you’ve got heartburn and you’ve got some pain in your shoulder and you’re going, oh, my God, I’m going to have a heart attack. Do I need to go to the hospital? And you’re trying to get some advice. And Dr. Scott and other people who do concierge medicine, you know, they have the opportunity. You can pick them up and call them on the phone and say, hey, do I need to go to the doctor or not? And they’ll tell you. But AI is going to do that for a lot more people. And diagnosis will happen faster. And when diagnosis happens faster, treatment is a lot lower in cost. Sometimes, like in the case of breast cancer, if it’s looking at an image and it detects something, in the very complex world of doing mammograms, it can pick something up that will be, you know, $800 versus $8,000 to solve the problem.
SPEAKER 03 :
How resistant do you feel the medical world, maybe I’m sounding negative, how positive is the medical world in accepting some of the things you just mentioned, rather than saying, you know, are they willing to reject it or are they willing to accept it?
SPEAKER 08 :
I think we’re going through a phase where imaging has had AI overview for a little while now. We’re going through a phase where it’s okay as long as it is giving us suggestions, pointing us in the right direction. And there’s some survey out there that showed if you take a CT scan of the chest, abdomen, and pelvis, that an average AI system is going to pick up like 60 things the doctor’s not going to see. Some of them are small and insignificant things and some of them maybe not. So, you know, telling the radiologist who’s reading that study that there are and marking it even an electronic version of the image marking that, hey, there’s some stuff here, here, here, all over the place to take a look at it. Number one, it takes longer to read the study, which may or may not be right. You want to get it right, but it may not be worth the time because you’re looking for a stat read on something. But number two, as long as the doctor believes that what the AI is doing is giving him or her some help on the diagnosis, I think it’s fine. After a while, there’ll be trust built up. And the more images it reads, the better the learning model is in AI. And eventually they’ll say, you know what, for every routine chest x-ray that rules out in the large heart, let’s let the system read it and then spot check once in a while. We’re not there yet, but that’s the second phase. You know, you increase the productivity of the radiologist by a whole bunch based on what the diagnosis is and why they’re having the scan. There’s many of them that they may not look at at all.
SPEAKER 03 :
Gotcha. Okay, so a question along all of those lines as to what you just said, and maybe I’m just a naysayer in all of this, but I look at big pharma and look at the amount of money that they make and what you said earlier, which I think is really key, that the sooner we find things, fix them, the longer people live and the less treatment they actually need. But, Steve, am I wrong in saying that that’s kind of the opposite of what Big Pharma wants?
SPEAKER 08 :
Yeah, in some ways, right? I mean, it depends, right? So if Big Pharma can give you a maintenance drug because you do not have, you know, your process is not so serious that, you know, you’re going to die in a year. If they can give you a maintenance drug that you’re going to be on for 10 years instead of dying in a year because of early diagnosis, it’ll meet their criteria because they’ll sell the drug for 10 years. The difference with AI is hopefully at some point a couple of really important things will happen is it’ll say, you know what, John, you weigh 184 pounds. You don’t need 20 milligrams of this pill. You need 13.5 milligrams. We’ll start to get really, really precision on what we do to eliminate some of the need for drugs, and certainly drugs that you’re just going to waste out of your system because there’s too much for your body to handle. It’ll get better at that. But early diagnosis, yeah, you might be on drugs sooner, but I think a lot of that early diagnosis will be intervention other than pharma. Gotcha.
SPEAKER 03 :
So, again, that kind of goes back to will you see like you’ve seen pharma block several other things that we’ve, you know, you and I and Kelly talk about on a pretty routine basis. Will big pharma get involved in this at all and be a be a, you know, a blocker of all of this or will they embrace it?
SPEAKER 08 :
Well, I think one thing we know they’re going to block is one of the beauties of having a system that has access to a global set of databases is, you know, if you do in fact need a drug, let’s say you need Trulicity for, you know, diabetes, and it’s going to be $1,000 a month in copay for you. If you can engage AI to say, find me the lowest price source, for trulicity that I can find, and you get it for $100 instead of $1,000, you know, at some point, you know, that’s going to disturb the price structure. In fact, pharma is being sued over, you know, price fixing on generic drugs and insulin right now. And so, you know, those kind of things, that’s going to cause problems because the market will get distorted relative to the way they want to control it.
SPEAKER 03 :
Yeah, and for me, that’s where I see some of this progression possibly being slowed down due to those players, the bad actors you just mentioned a moment ago, which we don’t really have to remind everybody. I know you and I don’t have to be reminded. These are high-dollar, billion-dollar, multi-billion-dollar, probably trillion-dollar combined companies that have so much power that they can intervene almost on anything.
SPEAKER 08 :
Yeah, we talked about the last time you and Kelly were together, we talked about the launch price of a drug has gone from somewhere around $2,200 for a launch price back in. 2010 or 2009. And today it’s over 300,000. So that means every single time a drug comes out, the average price for a year’s worth of that drug is now 300,000 between your health plan and you. And that’s a problem. I do think one of the big moves that’s coming with AI as it gets better, and it may not happen until we’re too far in the senior citizen area to really take advantage of it. But You know, the great scenario that Trump is sort of talking about, which is what Kelly and I were really formulated when I ran for Congress in 2020, was the idea that if you gave Americans the money, rather than giving it to insurance companies or brokers, you gave Americans the money and said, go buy your own health care, and it’ll come out of your pocket. You’re going to have the money, right? Of course, you get the first reaction is, you can’t give people that kind of money because then they’ll waste it on something. Well, You know, if they learn, you know, that it’s their responsibility in health care, but AI being able to guide them on the directions they need to go, because what is AI? It’s just a search engine, at least at the LLM level, that finds you information that you can pair up with what you know and make a better decision. It would change the cost of health care dramatically if we could pair up you and I having the money and we had the support of a large language model system.
SPEAKER 03 :
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SPEAKER 03 :
And we are back. Rush to Reason, Denver’s Afternoon Rush, KLZ 560. Myself, Steve House, really talking about AI, healthcare mainly right now, Steve, although this dovetails into a lot of different areas besides just healthcare. And again, one of the biggest fears that I have in all of what you and I are talking about right now is just the simple fact that There are going to be people out there, and by the way, these exist on both sides of the aisle. We’ve got people on the conservative side that I think are very fearful of AI and don’t want to see it become what you and I know it will become. At the end of the day, they would really love to just see it go away. And by the way, anytime there’s a major shift, a major change, and when the car came out back in the day, Steve, and it started to become more productive or more production of, I should say, with Henry Ford, You know, the horse and buggy guys were just totally against it. It was the worst thing ever. Those things are stinky. They’re polluting. They’re dangerous. You shouldn’t be caught dead in one. I mean, all of those things were happening at that time. It’s no different with AI.
SPEAKER 08 :
No, it isn’t any different. I mean, it’s funny how we complain about something while we’re existing in it. Like, the horse stinks. They have to feed it. You know, you have to clean up behind it and all that other stuff. And the moment that something takes its place, we romance it. We go back and go… God, that was a great era, how beautiful horses are and sitting on their back and you forget about the sore butt, you know, da-da-da-da-da. So that is the case. I don’t think that – I think in medicine and other areas, what you don’t want to do is you don’t want to immediately run to this place where AI is talking to people as if it’s real. You have those interactions on the phone for products and different stuff now, but in reality, when doctors are replaced by what is an AI, an AI is basically a fully educated, with available information, even better than a doctor would have in most cases because it’s all right there for it. It can answer questions better than most physicians can in a tight spot when they need it done quickly. If you turn it over to the AI, at some point, who knows what’s going to happen? Is it going to say to a patient, you know what, looking at your circumstances, I don’t think you should go to the hospital. You should lay down in bed and quietly die because you have nowhere to go. I mean, you don’t want that kind of conversation going on, but there’s no reason to believe that it wouldn’t happen at some point.
SPEAKER 03 :
You just bring up a great point there because I think for everyone that starts down this path and starts using it, and again, Steve, you’re always going to have exceptions to every single thing that we talk about, whereby there will be some people that will look at it as real, and they’ll have some quote-unquote life partners coming out of AI, which I just find fascinating in and of itself because it’s like, wait a minute, it’s a machine. It’s not real. But yet the psyche of certain individuals will allow that. And a great reminder on your part that, hey, this is a machine. This is basically stuff that’s been fed in. Yes, it has machine learning, so it has the ability to continue to take that data and extrapolate it better than what sometimes even we as humans might be able to do or do it much faster, I guess, at the end of the day, Steve. I don’t think it will ever be where we are today. Because it doesn’t have that ability to reason like we have, unless it’s programmed, of course, to do so. And that’s where things will continue to change and morph and so on. But to your point, we always have to remember that no matter what, that information that we’re gleaning is coming from a machine.
SPEAKER 08 :
Well, yeah, if you think about the ability to reason, I mean, there’s every indication that an IQ of an AI device or a bot or an agent is an IQ of that concept can be significantly higher than our IQ. The problem is it doesn’t have an EQ. So it doesn’t have that emotional content in it, and it can make… I mean, there are times when IQ is favored in a very analytical situation where a decision needs to be made, but I saw a commercial today, in fact, on Instagram where the guy was real and the girl was an AI, made-up AI, avatar, if you will, And she looked perfectly real too. And you know, they’re having a conversation with you and you think about, you know, could you get yourself into a long distance relationship? where the person on the other side was entirely made up, and you didn’t know it, and they could try to get you to help them and take some of your money.
SPEAKER 11 :
Yeah, I can see that happening.
SPEAKER 03 :
And by the way, you’re already predicting some of what, I mean, some of that already happens without the aid of AI. All AI is going to do, Steve, is make that worse than it currently is right now. The whole catfishing thing, I guess you could say, that’s just going to continue to get worse with AI.
SPEAKER 08 :
Yeah, it’s more real. I mean, how will we conduct… Let’s take education before politics. So in education, if you are utilizing artificial intelligence to extract information, put it in a context that someone can consume it, testing them on it, grading them on it, and awarding them certification that they have completed and have a skill set, but what they get is distorted or artificially distorted by someone else, how will you monitor and police that? The answer is not to never do it. The answer is you’ve got to build in governance and figure it out because that could absolutely be the case. And you can’t let it get out of hand, but at the same time, you have to take advantage of it. And frankly, it’s in accounting and tax. It’s in some aspects of education. It’s in some aspects of healthcare and really anything in life where You don’t have the knowledge to do something yourself, but if you did have that knowledge, you might do it yourself. Those are the areas it’s going to happen faster.
SPEAKER 03 :
Yeah, and I think, you know, really quick to remind people that even the example you just gave a moment ago, you know, we have had Photoshopped type images and things like that around now for a decade plus. The reality is we’ve been battling some of that stuff for quite some time. Will this make that worse? Absolutely, Steve, it will. It makes it worse because it makes it so much easier for people that don’t have a skill set to run Photoshop to be able to use AI to do What they want to do with photo editing. So, yes, at the end of the day, it’s going to make some things. And I talk about this all the time. You have to really be savvy and understand this is real or it is not. I saw, for example, a video this morning of a supposed accident. And at first glance, I’m like, OK. I might be able to believe that. The more I got to looking at it, though, I’m like, a bunch of cars coming down an icy hill, by the way. And the more I look at it, I’m like, yeah, that’s all AI generated. And it’s hard for me to explain to people, over the air, not having a video in front where you can actually dissect it and explain, well, this is why I know this is AI. It’s hard to do that, Steve. But once you watch enough of it where you can start getting ideas of, well, wait a minute, number one, this is far too perfect, and this wouldn’t have done that in real life. And you have to use some basic common sense to understand that.
SPEAKER 08 :
Yeah, I 100% agree with that. I think the problem is AI is a learning concept. So it’s going to get better and better and better. And it’s getting really difficult to figure out. You know, when you can’t, you know, when a video is real and when it’s not real. You think about that in politics. Think about that in your reputation, your business. I mean, there’s a lot of potential problems there. Good point.
SPEAKER 03 :
OK, one shifting gears really quick. We’ll come back to this, but I want to get this answer in from the text line. What do you think Kennedy will be able to accomplish with the labeling of drugs or maybe the relabeling of drugs that we should say, Steve?
SPEAKER 08 :
Well, you know, we were talking about thimerosal or whatever it was in that video today, which is mercury. You know, if you just saw what, you know, thimerosal and you said to yourself, well, I don’t know what that is, right? I mean, it’s in almost everything, right? Well, yeah, it is, and it’s mercury. If you could literally, what would be better is the sort of the sixth sense technology that came out of MIT, you know, a decade and a half ago is that when you take a prescription, you hold it in your hand, you put your you know iphone over it or something like that and it tells you these are all the things in this drug that are potentially harmful and you know that you say okay so thimerosal thimerosal is ethyl mercury um that can have a really negative effect on pregnancy so you don’t you don’t have to call your doctor you just know it because it’s there i think that Robert Kennedy’s challenge is to equip people with enough information to make decisions. But if you over-equip them and you say, you know what, there’s three things out of 13 in here that are seemingly bad, but in combination with other things, they may not be bad. You really have to go a long way on making sure the data is factual and it is Its perspective accounts for the fact that it’s not there by itself. However, I would rather know that something at thimerosal, and quite frankly, I’ll never take a vaccine if it’s on the label with that in it. There’s no reason to ever do that. Gotcha.
SPEAKER 03 :
Okay, so along those lines, I guess what you’re saying is that’s an uphill battle he’s got is what you’re saying.
SPEAKER 08 :
It is, but it’s a battle worth fighting because part of it is, you’ve seen these, John. I mean, there’s these conversations about, I was in Europe in September. When you go there and you eat bread, I’m not necessarily gluten intolerant, but a little bit. When you eat bread over there, you don’t have any of the effects that you do here. And so you ask yourself the question, well, why is that? Why don’t we just make bread like they make bread there? because it would be much healthier for us. We have to have an awareness.
SPEAKER 03 :
Yeah, and really, that is a question I think a lot of people have, myself included, where it’s like, okay, wait a minute, because it’s not actually the crops and all of that, and I know there’s a lot to be said, and there’s arguments even out there, and I watch so many different videos, and I’ve talked to so many different folks, even in the farming community, where At the end of the day, our wheat really isn’t any different than their wheat. It’s what happens to it after the fact that changes the content of the bread. So the question then you have to ask is, why don’t we do it their way? Is it cost? Is it because we don’t want people healthy? I mean, I know that sounds very nefarious, Steve, but do we live in a country where we just don’t want people healthy? We want them fat and overweight?
SPEAKER 08 :
I think that we do. I mean, I think we do. I think that, you know, there are people who make drugs that are designed for chronic disease. I mean, even the advent of GLP-1s. I mean, GLP-1s essentially are peptides. They, you know, they were discovered and they came in and they have a potential impact. I don’t think we’ve seen the downside of GLP-1s yet. I think there’s going to be a downside.
SPEAKER 03 :
But really quick, just to push back on that, when you look at the fact that we’ve got so many people overweight and sugar consumption in the U.S. is at an all-time high, is there a downside to a GOP at that point?
SPEAKER 08 :
No, but the downside may be that you end up having stomachs that don’t work well at 70 years of age instead of waiting until they’re older than that. I mean, our lifespan has gone down. I mean, I worry a little bit about anything that is a quick fix. And yet at the same time, you know, people who are lighter and they have better stress on their joints and they you know, have a better functioning metabolism because they took a GLP-1.
SPEAKER 03 :
Better mental capacity because their body isn’t doing things that it was before that it can now do for your brain. Your sugar levels are more, as you know, which affects the brain as well. Your sugar levels are regulated better, meaning that, yes, what’s going to your brain is actually better. You start eating healthier and so on. I mean, again, at the end of the day, I’d much rather see people doing that than continuing in the lifestyle they’re in right now.
SPEAKER 08 :
Yeah, and if it gets them out of that as opposed to people who do it and still eat bad, but they’re using it to leverage, maintaining themselves where they are as opposed to getting worse, that’s an issue. But the other thing is, the other concern I have with AI is with avatars and with people that are made up in the videos, there’s a lot of mental health issues in this country. What happens when somebody creates a very, very sophisticated version of God in an avatar and people are talking to this person and maybe it seems like it’s a real persona that happens to know more about, you know, God’s intentions based on all the books and the different things. I mean, I really worry about where we could go mental health-wise if we’re not careful with what we let AI represent.
SPEAKER 03 :
No, and you know what? What you just said there, I can’t argue at all. And I do think that’s one of the things that we have to be extremely careful with because, you know, we want people’s mental health to— Now, the one thing that I find a little bit interesting is I think, and this is my opinion, and I’ve read some different things on this in different schools of thought, I think part of the problem we have with mental health in our country is we tend to always look backwards at our lives and this was damaged and that was damaged and we had a bad parent or we had this and we had that. And I’m not saying that those things don’t happen and they don’t have an effect, Steve, they do. But in psychology, we decided to go down the path of let’s fix our past so then our future will be. Rather than saying, you know what, the past is the past. We can’t go back and change it. Let’s forget about it and let’s move forward and look to the future and let’s see how much better you can build your future based upon how things look moving forward and let’s stop thinking about the past. We, though, have psychology in this country and, frankly, around the world that strictly looks at the past.
SPEAKER 08 :
Well, yeah, because you can – If you dig up the past and make somebody into a victim, and I’m not anti-therapy or consulting and that type of thing. I mean, I think there’s a place for it. But if you truly dig into the past and you make somebody feel horrible about what happened to them, they become a victim, they become drug dependent, you know, a bunch of other things. Some people obviously go through that experience and come out better on the other end. I don’t have any surveys or studies that tell me which one is better than the other. I just know I’m uncomfortable with doing it the way you said it’s being done today.
SPEAKER 03 :
Yeah, and again, these are things where, with everything, Steve, things just continue to change and morph. And I think this is where, you know, at least the conversation that I want people to have a takeaway from you and I is, You can’t, with AI in general, you can’t just, you know, poo-poo this stuff and look another direction, oh, that’s not going to affect me, or, you know, if I’m not involved in this, then, you know, it’s sort of like, I explain it this way, it’s like church in Hollywood. You know, the church, for years and years and years, even to this day, we are so far behind, you know, evangelical Christians when it comes to producing good, solid evangelical movies that are on par with what quote-unquote, the world does, Steve, and I blame that partially because when movies really started to become big, we turned our head, stuck it in the sand, if you would, and basically said, well, if we ignore it, it’ll go away. Well, that’s not how that works, of course, Steve, and it didn’t go away, and now Hollywood has a huge impact across the board on everything, including politics, and frankly, I blame the church for that.
SPEAKER 08 :
Yeah, that’s a really, really interesting point. I mean, I think that’s There’s been a couple things that have come up lately where you just question, when are people going to, including the church, when is it going to step up and declare its values, its virtues, its morals in a way that while maybe creating a bigger fight, you have to do it. I mean, you can’t just let it go by the wayside. I saw this stupid game show from the past the other day where the question was, did Mattel make a lingerie Barbie, a Sunday school Barbie, and then a French Barbie? And the answer was, the one it didn’t make was the Sunday school Barbie. Right. They made the lingerie Barbie. I’m like… Really? I mean, it’s a toy, right? This is for kids, and especially little girls. It wouldn’t make a Sunday school Barbie because it wouldn’t make a religious statement, and that just makes no sense to me.
SPEAKER 03 :
Well, and that goes back to my statement a moment ago, where there’s times where the Church—and when I say Church, I’m not talking any particular Church denomination. I’m talking the Church in general, Catholic, Protestant, whatever. I’m talking the Church, you know, believers in general across the board, and the whole mentality of— If we just leave things alone and we don’t get involved in that, then, you know, it’ll go away or somehow we’re going to be pious and, you know, we won’t be involved in that. And so in turn, we have no blood on our hands, Steve, because we were not involved in that when, frankly, it’s the opposite. I use the Depression as an example. We have a welfare system today in this country because the church failed during the Depression.
SPEAKER 08 :
Right. They did. And you know what? If you ran into the same thing today, I mean, despite the fact that there are billions of dollars in collected donations and churches, the question would be is, would they be able to support the people? Would they give them the kind of emotional nurturing they needed? And Frank, mental health in some respects is an absence of an overriding belief in something, right? I mean, there’s plenty of drug-related stuff, but there’s still this thing about You know, you have to be on solid ground. If you’re not on solid ground, you’re subject. It’s like my dad used to say, if you don’t stand for something, you’re likely to fall for anything. That’s right. And, you know, the church has always been that thing you stood for because you had this belief in a reverent God that you, you know, that you needed to hold up a standard without that. We fall for anything, and that’s been the case.
SPEAKER 03 :
Yeah, and again, this is where I’m worried today. I keep saying this, and I mean this sincerely. I keep worrying today that Christians, conservatives, you can throw them all—I get it. Just because you’re a conservative doesn’t mean you’re a Christian, and vice versa. But at the end of the day, if we as, you know, quote-unquote conservative Christians don’t stay involved in AI and watch where it’s headed and be a part of what’s going on, we’re going to do the exact same thing we’ve done in other ends of things, i.e. the Depression, i.e. Hollywood, and I can go down the list, Steve.
SPEAKER 08 :
Yeah, we’re going to leave it to somebody else to deal with and nobody will do it. And the next thing you know, we’ll be complaining about the fact that things have gotten substantially worse.
SPEAKER 03 :
And part of that will be our own fault because we didn’t do anything about it on the front side. So, again, folks, those of you that are listening, there are huge gains and advances to be made in AI. We’ve talked a lot about that. in a couple of shows that Steve and I have done now when it comes to the medical end of things. And I like what you started off with, Steve, talking about how we’ll get to a point to where I could see us having different wearables. And before anybody gets freaked out, wearables that you’ll be able to control where the data goes and so on, but basically wearables that will give you indications of what’s going on in your own particular world. And if you could stave off a heart attack because you’ve got a wearable, Steve, why wouldn’t you do that?
SPEAKER 08 :
Now, there’s absolutely a big collision coming between the wearables technology and, you know, sort of a ubiquitous view of, you know, what a minimum set of wearables looks like and AI itself. And that collision is going to create something pretty good because the difference between, you know, I got a little flutter in my chest and maybe that’s, you know, I had, you know, AFib for a second or maybe that’s just, a normal thing that happens when you’re 60 years old. Knowing the difference matters because one turns into massive anxiety, potentially an ED visit that costs $5,000 or $8,000, and the other is, yeah, no, I’m okay. I get it. I need to… All I was… God was giving me a little flutter there to let me know I needed to exercise more.
SPEAKER 03 :
Right, and great point, where in a wearable, in a lot of cases, would tell you some of that, and, you know, right now you’ve got, for those of you listening, there are some wearables, you know, there’s some smart watches and some rings and different things that you have, and we’re not talking, you know, it’ll get much deeper, Steve, than even what those particular wearables are, and it’ll just continue to have bigger and bigger advancements along those lines to the point where, yeah, it will start warning you of, hey, John, you know, man, time out here. I can see that your anxiety level is through the roof. Your blood pressure is way up. What’s going on? Sit down, take a break. Did you have too much caffeine? I mean, what else was going on right now that has caused this? And let’s reevaluate that. And by the way, Steve, that becomes a learning process to whereby, oh, okay, I know that if I take this much of this or if I consume this much of this, this is what the repercussions are. Okay, I won’t do that again.
SPEAKER 08 :
Yeah, I agree. I heard somebody say the other day along that line, and I think this is generally a statement that you’ll agree with, which was some people will say that the biggest issue with AI is going to be that you’ll have an overly informed society. And I say that’s absolute bunk because if you have an overly informed society, it means that society should be able to advance, advance to better quality, better standards, higher morals, You know, all those things. But people are concerned that a loss of control, especially on the part of the government, would be detrimental to those who run government. And we happen to answer them. I don’t know why people still pay taxes, to be honest with you, in some respects. I mean, we were watching… You know, somebody say, oh, you know, you need to pay more taxes. Why? So we can buy condoms for 12-year-olds?
SPEAKER 03 :
So we can waste more of it? Exactly.
SPEAKER 08 :
Great point. Why are we not standing up with what we know now? Great point.
SPEAKER 03 :
Great point. I’ll leave it at that. Steve, as always, I appreciate it. Steve House, he’s been very instrumental in having Dr. Kelly with us on a routine basis all the way back to COVID. Steve and I have been talking about technology things even, Steve, for, gosh, you know, technology and politics for over a decade now, I want to say. Right.
SPEAKER 08 :
Yeah, at least. I mean, we were the ones who said… The next decade and a half will be the greatest decade and a half of innovation in American history, and I still believe that. You’re right. That’s where we started. That’s exactly right.
SPEAKER 03 :
Steve, as always, man, I appreciate it. Time flies. Thanks for your time. My pleasure, brother. All right, man. Have a great night. Appreciate it. Great friend, by the way. I like Steve. He’s one of our former GOP chairs here in Colorado and a great mind politically speaking and one of those guys that I will tell you straight up I have learned a ton from over the years. I have great respect for him, and he’s a dear friend, and I appreciate Steve greatly. Veteran Windows and Doors is next. and ability to save you money by getting you windows and doors right from the manufacturer to you, cutting out all of those middlemen overhead costs. Give Veteran Windows and Doors a call today. Find them at klzradio.com.
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SPEAKER 10 :
It’s time to leave your safe space. This is Rush to Reason on KLZ 560.
SPEAKER 03 :
All right, thanks for listening today. By the way, fast first hour, several text messages coming in, talking about just AI and even some other potential guests that I should look at having on to really dovetail into what Steve and I just were talking about, which I will do. Now, remember, if you ever want me to interview somebody, I need to know not just a name, but how do I get a hold of them? In other words, I usually rely on people asking to come on our show. not the other way around. So what I would encourage some of you, if you think there’s somebody that really would fit well into us, you, since you know them, reach out to them and say, hey, I think you would make a great guest on Rush to Reason. Here’s the contact info. Reach out to John and he’ll get the rest of it put together. That’s the easiest way for me to get people on air. All right, with that, that’s it for hour one. We’ll be back two more hours. Rush to Reason, Denver’s Afternoon Rush, KLZ 560.
SPEAKER 09 :
I’m a rich guy, rich guy, rich guy
