In this episode of the "Redefining Society" podcast, Marco Ciappelli interviews Dr. Robert Pearl about the latest hot topic in healthcare technology: ChatGPT. Dr. Pearl explains how ChatGPT is a pre-trained transformer that has the potential to revolutionize the medical industry by generating diagnoses and treatment plans based on vast amounts of pre-loaded medical information.
Guest: Dr. Robert Pearl
On Linkedin | https://www.linkedin.com/in/robert-pearl-m-d-32427b98/
On Twitter | https://twitter.com/RobertPearlMD
Host: Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society Podcast
On ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli
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Episode Introduction
Welcome to another episode of the Redefining Society podcast with Marco Ciappelli. Today's guest is Dr. Robert Pearl, a professor at Stanford and former CEO at Kaiser Permanente. The topic of discussion is ChatGPT, a technology that has recently made waves in the healthcare industry. Dr. Pearl explains that ChatGPT is a generative pre-trained transformer, which means that it has access to vast amounts of pre-loaded information and can apply it to generate the next word or idea. He compares it to what doctors do when they learn a lot of facts and generate a diagnosis and treatment plan for their patients.
Marco and Dr. Pearl discuss the potential applications of ChatGPT in healthcare and how it can help doctors find diagnoses they might have missed otherwise. While it's still in its early stages, ChatGPT has shown promise in improving patient care by allowing doctors to double-check their thinking and find the most problematic complications that could arise.
The conversation also touches on the challenges of adopting new technologies in the medical profession. Dr. Pearl notes that while it's important to embrace new technologies, blindly following them is not the solution. He highlights the importance of doctors maintaining their expertise and knowledge while using new technologies to supplement their work.
As the conversation continues, the possibilities of ChatGPT become more apparent. Medical knowledge doubles every 73 days, and it's difficult for any human to keep up with that pace. ChatGPT, on the other hand, has the potential to become exponentially more powerful with each passing year, meaning that the tool doctors and patients will have in a decade or two will be significantly more advanced than what we have today.
If you're interested in learning more about ChatGPT and its potential applications in healthcare, then this is the podcast for you. Don't forget to share and subscribe to Redefining Society to keep up with the latest trends in technology and society.
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Resources
Dr. Pearl's Newsletter:
https://app.flashissue.com/newsletters/ce20648294065ec89cb69f1d6eebbb994bcb3fb0
Dr. Pearl's Website:
https://robertpearlmd.com
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Marco Ciappelli01:53
Welcome everybody to another episode of redefining society podcast with me Marco Ciappelli. And as usual, I have some interesting guests actually, I have to say Dr. Robert Pearl, been here on the show a few other times it spoke about technology in in the realm of our society, and in particular, in the healthcare system. And there's always something new. And today everybody's talking about as Chad GPT. And I was following Dr. Robert Byrd newsletter, and he had a lot of reference to chat GPT. So I called him up. And here it is, we're going to talk about that. So Dr. Robert Pearl, welcome to the show. Thanks, Marco. It's
02:41
a pleasure to be back on the show. Looking forward to it.
Marco Ciappelli02:44
Always a pleasure. And like I said, always something new some new technology, which is not necessarily new, which is like now wildly adopted, it's kind of like it's out of the box. And and it's touching apparently, every single aspect of our life, from copyrights to creative production to writing to, in this case, healthcare, which it's a topic that I'm not so familiar, as much as I could be, maybe we're the education system or so far. So really, really interested to hear from Dr. Pearle. That has been in this industry for so long, and is very well respected. What is the what is your perspective on this? But before we do that, a little introduction about yourself for those that haven't listened or watched any of our show before. And and then dive diving. Tell me what's going on?
03:37
Sure. So I'm a professor, both the Stanford Graduate School of Business and medicine. I was the former CEO in Kaiser Permanente responsible for the health care of 10 million people on the eastern west coast. I have my own podcast called fixing health care every week. I am write for Forbes. And I do a lot of consulting and keynote speaking and chat. GPT right now is the hot topic. So in case there's a couple of listeners out there who may not have may not know exactly what it is, I think it's always interesting to start with GPT what is GPT and it stands for generative, pre trained transformer. You start with the middle word pre trained, what does that mean? means that a vast amount terabytes of information, almost everything on the internet, every textbook journal, all the information in medicine has been pre loaded. Now, the versions that are out now GPT three, and now most recently, GPT. Four, only go to September of 2021. But they'll ultimately load the other pieces sitting in play. And that's very similar to me of a medical student who spent four years in medical student learning as much as you can, and then what it means to be a transformer is that there are parameters, millions of rules to take this information and apply it to generate what is now going to be the next word, the next idea. Now, why do I think it's going to be so important in medicine? Because this is exactly what doctors do. They learn a lot of facts, they then talk to a patient, they figure which of these facts to apply to a problem, and they generate a diagnosis and a treatment plan. Now, I don't want anyone to get confused what exists right now I think of as almost a toy, although we'll talk maybe later, a lot of doctors are using it, because it's helping them find diagnosis they otherwise might miss. It's allowing them to double check their thinking to find the most problematic complications that could arise. But it's not yet in any way a prime time. And this is a challenge that happens with technology that grows exponentially. As you will know, this whole GPT was introduced a few months ago. And when it was first introduced, it was able to pass the qualifying exam, the license exam that doctors take, but just barely a score of 65. Two months later, a similar version from Google now has a score of 85. Why is this so important? Because it's not what Chad GPT can do today? What's it going to do in 10 or 20 years. Moore's Law says that technology doubles every two years. If that's the case, the tool that doctors and patients will have a decade from now 30 times more powerful. And 20 years from now, 1000 times more powerful. It is not even conceivable to me that humans can keep up, we don't evolve in anywhere near that pace. And I'll add one more piece, medical knowledge doubles every 73 days, what human can keep all that information in his or her head. But chat GPT may take a lot of energy or time to load it. But it's not a particularly difficult task once that has occurred.
Marco Ciappelli07:13
Yeah, wow, full full of points here. And I want to I want to make a reference here to something that that we talked about, in one of our prior conversation about the status of the medical community and how sometimes they may not be the first one that wants to adopt a new technology, because they are kind of maintaining a certain way of doing things, but from what you said at the time, which you mentioned, and I want to recap this, that it's not a good thing for the medical profession, of course, because you need to embrace new technology. But also, I guess you can, of course, follow it and embrace it blindly is not the solution of all things. And this is I think of all the chat GT GPT conversation I've been having is it's a tool, right? So in one of your notes, before we decided to have this conversation, you you kind of refer to this as the new status cope, like big revolution. So it is a tool. How do you see this to be not fear, but embrace both from the patient side and the medical profession side?
08:32
Marco, I would differentiate what I will say in the first few years from ultimately, and ultimately it could be five years, 10 years or 15 years. We're not talking about forevers. In the early time period, there's no question that the that a physician working with Chet GPT will be able to provide better care than either Chechi PT alone, or by the way, a physician alone. And I think it is very much like residency get on average, he listed as No, you spent four years in medical school. And then depending upon your specialty, you spend maybe another six years training. When you're an intern, you know, I've given carte blanche, every order you write has to be reviewed, every diagnosis you make has to be confirmed. There's an attending physician who looks at that. So I see Chechi Beatty, in the early phases, it will give a lot of good ideas, a lot of information, but you shouldn't have a doctor also overseeing it. And before you go ahead and decide to get treated in a certain way, get medical approval. But if this technology becomes 30 times more powerful or 1000 times more powerful, a times is going to come and people are going to go there for at least straightforward information, if not actually complex in Information, and we'll chat GPT will be able to do is provide what we call a medicine, precision medicine. You know, if you look at how we approach a problem we differentiate young kids from, I'll say, very, very elderly individuals. But there's a difference between being 2030 4050 between being in very good health or having diabetes, and maybe asthma and a couple of other conditions, you have your family history won't be long till we load in your genetics or your medical treatments, you can start to have a very precise tool. Now, if you're asking you how to people protect themselves today, the answer is you have a physician who is going to have to look at whatever information you have, although you can become much more educated asking the right questions, if you have this data coming off of a gender of AI technology, but at some point, those paths are gonna cross and how will we know it hammock? Exactly? Sure. I think what we'll see as in most new technologies, is that some people will grab hold the first shifters, the first change is at the cutting edge. And then more and more people will do it. And after a certain number of years, probably a relatively small number. People will say, of course, we always did it that way, not remembering what was like on the first day of that transition.
Marco Ciappelli11:28
I know there is always the thing, like we've always done it like this. And they're like, well, until when, until the last time you change, and then you think you've always done it like this. And now this change is happening really, really, really fast. Let's go into tool in terms of knowledge, right? I'd like to make that distinction versus action, right? Because one of the things that people fear when we talk about artificial intelligence is all 9000 of 2001 Odyssey where you actually make decision and locks the astronaut outside, and it's like, my bike. So I think the fear is like, if we give all the power to AI to make a decision and act, then what if it makes mistake? So you can say, well, doctors, engineers, people make mistakes, too. So I like this idea of working together. It's almost like an extra brain, but a very, very powerful brain. How do you see these actually to get into the surgery room or integrating with other kinds of advanced technology?
12:45
Sure, you're asking a very important question. So let me back up first a little bit have listeners think about the smartphone, the iPhone? You know, I remember my dad, the first year it came out, he bought an iPhone. And what did he do with it, he put in the trunk of his car. He kept in case, just in case he had a problem driving his car, and he needed to call someone that was the only application he could see for this phone. Now you go forward 15 years, how much of the retail you purchase? Do you get through your phone? You know how much of the way you drive, where you go, the GPS, the roads, you take dating apps, I mean, these things weren't even imaginable way back when you know, your banking. When they get it wrong, you can lose all your money or your bank? Well, this is the kind of change that people do. And actually, most people feel more comfortable and trusting in the application than, than the person in the bank, the bank teller, they feel better buying it online, and having it delivered the next day, then counting on a human being to make all those arrangements. This is the transition that happens. As we said, some people are early adopters, and they're willing to take the chance at some point. It's just enough experience. So we like to think well, wouldn't it be better if we had the ordering the retail ordering and the person doing it at the other end know, the retail ordering becomes solid enough? Now, yes, a couple of other questions, I think that are really important. First, the knowledge, you know, if you want the most up to date, knowledge based technology, we'll be able to do that better than humans. We've already said it's every 73 days and it doubles. No one can adopt that. But, you know, even the newest textbook is a couple of years old. The Journal articles are less old. If you go to every conference in the world. Maybe you're even more up to date, this technology can have that information. But I think what it really can do that's even more so is to continually be learning. Now the current tools don't can't do that. They don't have enough recall, active memory to have knowledge long enough. These are just these are technical obstacle problems that can be solved. So imagine if the technology and we'll talk about probably a couple of different ways that can happen. And patient safety, I think is a big important part. But imagine if the technology to follow a doctor working with a patient who's in the hospital has monitors and could be looking at the data coming off of the monitors can be following the care provided by the nurse can be following the lab results can see the physician's orders all his information, which is massive, I mean, doctors learn how to map use it, but medical students had to spend a couple of years figuring just that out. And now this technology can incorporate all of that take someone with a chronic disease. Let's take diabetes, hypertension, the kinds of problems that have not well managed lead to heart attacks, strokes, cancer. Imagine you have one of these chronic problems, how do we treat it today, you see a physician and you come back in three or four months. But your problem is every single day, maybe needs to be seen a week from now, maybe not for six or eight months from now, this technology can be looking at that data, as you say, comparing it to what the physician has recommended and telling you every day how you're doing, indicating whether it changed these three made. Now I don't think when it gets to the point where at least in the very foreseeable future, when we're going to allow prescriptions to be written by Chechi PT, they're still going to require a doctor to intervene. And there's nothing about the technology right now, that's going to allow physicians to be able to, to replace physicians in the operating room. But what can it do? It can observe a doctor in action, or a nursing action and decide when the actions that are being taken are not the ones that are most likely to lead to the best outcome. What do I mean by this? Well, a New England Journal of Medicine, which is the leading journal in health care just reported that one in four patients suffers a medical problem in major medical problem unnecessarily after being hospitalized. And my book was treated, why we think we're getting good health care or usually wrong. Write about my dad who died from medical error. What we know is that as many as 2000 people a year die unnecessarily, there are a small number, we're talking about five, six steps that will avoid a patient who has intubated as a tube into their lung from developing a hospital acquired pneumonia, someone who needs a large IV inserted into their hearts called through a catheter, an intravenous catheter to be able to ensure it doesn't get infected. But people often skip steps. This technology and remember GT GPT, for now has visual
Marco Ciappelli18:18
capabilities, I was gonna go there, yes.
18:21
And could observe what's going on and can say to the doctor, you're skipping a step? Well, I don't know if you've ever heard this phrase raw people said, if you can be hospitalized, bring someone there to protect you. And by the way, they just did a study using video in the operating room and was able to identify a huge number of ways that the surgical team was making errors, that could lead to a change, they call it the blackbox. The thing in planes when the plane goes down, after recover the black box, that's the mistakes that are being made. Chechi PT can do that, and analyze it continually. And be able to let you know where the problems are. These are the opportunities they're not here now. But again, if the technology is 32 or 1000 times more powerful, it will be able to do that in the future. And that's what I'm so bullish about.
Marco Ciappelli19:16
I love that. And you're I mean, I was just thinking about that the for the GPT. Four with the visual, it's a game changer. And the moment that you can actually even talk to that because right now you're always doing just do an input text, which is kind of like old school in a way right? But you can play with it. It's it's almost like the original video game when you had like text input, because you couldn't create the graphic of it. And now we are in virtual reality. I think let me if I'm wrong because I want to step into the perspective of the patient and by I want to do that by bringing an example that probably a lot of people will have understand because it's been around for a while, you know, we talk about autonomous vehicle, everybody understand the car, everybody doesn't necessarily trust a car that is a level five autonomous meaning does everything by on his own that there's not even a steering wheel in there. But we do understand AI appreciate the fact that if there is an obstacle, you didn't see it, the car is gonna break on his own. Right, if you're, we're being from a line to another, you have a car that can see the lines, it's going to correct it's going to save your life is not driving Formula One, although it can because you're actually in a better situation, because there's the open circuit instead of industry. But now we have learned to appreciate this. So we're like, Okay, I'm still in control. But I got that help. And when you were describing what's going on in the could go on in the surgical room, those repetitive this step, the human can make a mistake. But if somebody's AI is learning all of this, it can sound and alert and say stop with this is very trivial, but it can help you, right? So the moment that you present this, and let's not even go to you know, a robotic arm doing the surgery, let's just stay where it is now that the doctor tells the patient, I looked at all your results, I looked at whatever, MRI scan one thing and another I'm not sure gonna, we're using shot GPT or any other AI to do so. Do you have any insight of what the reaction is like? What is the you know how the patients are going to feel about that, because psychology is a big part of being in the medical field, right.
21:52
So let me offer a variety of insights. The first one is as a society as individuals, we excuse humans, and not machines. As people who die every year on the roads, everyone drove an autonomous car and didn't touch it at all with no steering wheel, no brakes, no pedals, the car just drives. Yeah, and there were 500 deaths a year. It was a result and people were talking about it's not safe as 5g Just a year,
Marco Ciappelli22:23
I'm pointing the finger to the one that actually happen right or
22:28
so I think that this is a transition. You know, we know there are 200,000 people die every year from medical error. And yet, that doesn't shock us if a machine only killed 50,000 people in the same way, we would be horrified. So I think we have to understand the human psychology, we see humans like us and machines we see as being somewhat foreign from being there. But I think it's I think the difference between autonomous car and a doctor is different, which is that we assume that as a driver, you're capable, not saying you do it, but you're capable of 100% safety. If you see someone carrying a bicycle, you realize that's not a car, that's two wheels in the air. You know what it is, and getting a machine to know that it's very, you obviously have a long background in technology. You know, 20 years ago, getting the technology to understand the edge of a table took a massive amount of time, that was a problem that couldn't be solved. Being able to recognize a cat versus a dog was a problem. It could, these are problems that have been solved. But there's no way that the technology will ever be able to recognize every product problem that's there. Because they're just infinite. As we look at what a car is, what a sidewalk is, what a bicycle is all the changes that are there. So if the if the belief is that we have 100% ability as humans to always make the right decision, that autonomous vehicles will never be totally embraced. But that's not the way medicine is when doctors make a diagnosis. Sometimes it's 100% definite, but most of the time, it's a probability. Because we don't have a test to identify every problem. It's impossible. We'd be operating on every patient every time. And we know this. Because if you do CAT scans and MRIs of the human body, we find things in every one that are not really a problem, but they look like a problem. And so we have to figure out how to sort through what is a problem and what's not really a problem. And that process will be done better by a gender of AI than a human brain at some time points because it can consider and calculate all of the pieces and there's no human who will have that ability to accomplish that. and it will always learn, because it can take almost infinite amount of information and data. And so it can get precise to the tenths place, and then the ones place in the tenths place and the hundreds place in the 1000s place, as it has ends that are bigger and bigger and bigger, more and more data and more information. So if you look objectively, and you assume that drivers will never make a mistake, because they always can see things and know what they are, you're absolutely right, they never should make a mistake, and ignore the fact that 50,000 times a year, mistakes are made. But when it comes to the diagnosis and treatment, what you're going to see is that an individual patient, at some point, chat GPT, and it's the ORS derivative, could be a Google product or some other company just as well, entrepreneurial company, some some product actually will be able to consistently to do better than doctors, because it will be able to have, as you say, a lot more knowledge and apply it in a much more refined and a greater mathematical type way. Because essentially medicine is a probabilistic driving is not we don't say, is that a car or bicycle? I'm not sure you know if it's a car or a bicycle. But is this cancer? Or is this a benign condition? I can tell you, your chances are 99 99.99 9.99 the technology, we're gonna go to five and 10 and 15 decimal places.
Marco Ciappelli26:34
And there are already stories like this about, you know, observing scans and seeing a tumor. I think I saw an article just few days ago about a tumor. There was zero in so far from developing, but the machine learning because that's what comes before AI anyway, detected it. And you know, where do you actually be? Well, maybe not. But it was definitely something that was a cancer. So so to have this, on top of the experience of the humans, which you said it, I mean, we make a lot of mistakes. I think we're expecting too much from human anyway. And then we forgive much easier, as you said, if if it happened, do you see? Do you see some difference application or perception and legislation so on when it comes to more creative approach to charge GPT versus a more scientific lab trial and error type of application? And I know, we may go a little bit away from the medical and the healthcare, but I'm sure you'll follow, you know, the copyrights issue whose fault is if the chat GPT, or the AI messed it up? Is that the software developer is that the person that bought it, the people that train it? Who is that, right? So do you first see certain things that may apply from a creative legal perspective, before it actually will become incorporated into our everyday practice and society.
28:18
This is such an important point you're raising, because it's important for listeners to understand how AI differs from what I'll call algorithmic solutions. I'll explain them in a second. And then how Chechi Beatty differs from AI solutions where deep learning overall. So if we look at what I call an algorithmic solution, this is taking a medical problem. Let's say specifically how much insulin to give to a patient and taking human experts who are going to use their best thinking to create a tool that now will take a set of information and make a recommendation that actually has to be approved right now by the FDA. And actually could be patented, as you say, it's something that has been humanly developed. And it's a very, quote, narrow box. It's a particular application for diabetes. You can't use that application for asthma, you need another application for asthma, you can't use that for cancer. The pancreas is different than cancer, the lung, conceivably, it's a common cancer methodology, but not likely. So we're back into what we normally think about from technology. You have an idea, you create a company, you develop something you patent that you sell it for that particular application, it needs regulatory approval, and if the regulator's don't like it, you can't sell it. Chat GPT is totally different. It's like saying, Can you patent the idea of telephoning people? Mm. The it's a tool that is used by the person, it's not an answer given to the person. It's not something that I give you that you use to get a date. It's a tool that you invent, to accomplish all of that, and how do you invent it? You just ask the right questions. So what you'd have to patent is the ability to ask the question, and I don't think that's patentable, what you'd have to control is the, the right of humans to ask questions to this machine. Now, there are some things that will be built into the technology, and some people will force it to be built in. So you can ask the kinds of questions that are likely to lead to massive harm, through bullying, through self perception through other changes. But those are going to be just the most general landscapes that you can't get around. You can't ask how to build a terrorist bomb, although you can go to the internet and find that information today, or something like that, you can ask how you can kill a certain patients, the person, I think they're going to build protection and against those kinds of outrageous requests. But to ask, you know, here's my most recent blue Bluecoat blood glucose measures, less 50. Here's my hemoglobin a want to see for the past 10 years, here's the amount of insulin that I take every single day. How am I doing? Do I need changes? What might you recommend? How do you stop the application from doing that? You simply can't.
Marco Ciappelli31:43
Right? Right? No, it makes it makes sense. But then of course, you do something that has a specific and using the telephone. In general, you know, you you build the telephone in a certain way you build a solution that is focused on something and on that you may get a patent right. And
32:03
you can't patent what someone says over the telephone, the point I'm making, yeah, no, you theoretically could pattern, you know, it's what's called the parameters. These are the millions of rules that are used. And you theoretically could patent some of those inside the device and not, but it's such it's so massive, and so nosey have a patent for a million different rules. So you might have a particular one that you found, I I'm just very doubtful that all of that will occur, I think, the genies out of the bottle, it's not going back inside. And the real question is going to be what concern to these companies have about something negative happening, at least impacting the perception of the product? If not some kind of legal suit? If it's used in some way that leads to bullying? Will they be responsible for that now that exists today in social media? So I'm not sure it's going to be particularly difficult different. And as you know, right now, there's a moderate amount of protection, that it seemed to be that of the user, not that of the technology itself, whether it's Facebook we're talking about, or another type of application. But this is even more general, as they say, it'd be like trying to limit what you can say over your telephone, not the telephone. But when you say over the telephone, and I have trouble imagining that we'd let that happen. If you say something over the phone, and someone's on the other end, they're going to hear what you said, to have a filter and a block sitting in the middle. I don't think Americans would accept that.
Marco Ciappelli33:38
Definitely not a lot to think here. And I know I already took enough of your time, and I think you came up with with some very, very important scenarios and something that I think is easy for people to understand. But another thing that I tell people I don't know, if you agree with me, while we all talk about Chad GPT we try to figure out what it is, it's still, in my opinion, a big mystery, because whenever I play with that, and just so people know, the transcript and then the summary of this conversation will be done by chat GPT because, you know, I can feed and asked to make a summary of that, of course not making any medical decision. But I think it's so much that we need to discover still, I don't think we have it's kind of like you're dead putting the phone in the back of the car. And now knowing I mean, are we even using 10% of the capabilities of our phone? I think charged up it is the same thing. I we're going to see him we're going to learn as we as we go. So if there was one advice that you can give to the medical profession, the medical community in in embracing and using and trying to, to harvest the best day came from from charge up to what what would that be
34:55
too close to things. What we have today is less than 1% You know, I think you may remember back during the pandemic, we talked about the viruses with exponential growth was like a lily pond, that it would double every day. And if I if it took 60 days to cover the pond, and I asked you how much of the pond is covered on day 53, you might say, oh, probably half, the answer is less than 1%. Yeah, we're at a fraction of 1% of what this technology is going to be able to do. So if I had a piece of advice to people, it would be try it, use it, experiment with it, the biggest thing is learning how to put adequate amount of data and ask adequate adequate amounts of questions in there. I think most people, if you're talking about physicians, it's worth $20 a month, and I have no connection with a company, but to spend $3 a month to get chat CBT for rather than Chechi three, because already that's so much better. By the way, open AI Oh has next generations, they just haven't released it sitting there. That's what I would say, put it information. I know a doctor who did that patient's symptoms in place and got a differential diagnosis with a couple of very rare problems. It just so happened, the patient had one of those and he was able to make it. I know another person who took a letter from a patient, a very nice letter, and as Chappie GBC, to write a response just to see what it would be like. And by putting the entire letter into the technology got a such a beautiful response back out better than they could have imagined and then could translate into another language. I mean, we're looking at a tools that today, we can't imagine how they will work. And like every technology, it seems so hard to use until you use it. And then it seems pretty easy to make a major part of your life. That's my advice to physicians to patients don't trust it yet. Not because it's not usable, remember, only goes to September of 2021. So it's not most up to date. And it still needs to have a lot of work to refine it, make it more powerful, but just start to use it. And then ask yourself, if it's 32 times better in a decade, and 1000 times better in two decades. What is medical care going to be like in the year 2043?
Marco Ciappelli37:25
Wow, perfect. I'm with you. I mean, try it because some people just point the finger like No, I'm not gonna trust it. Well try it. I mean, that blow your mind. And maybe you don't like center things. But it depends on what you ask. It depends on how you use it. I totally agree with you.
37:40
Experiment, statistic that came out today. So they did a big study where they had Chad GPT write a dating profile. I've never done it. So I don't know exactly the details of what I would write. But it had a person wrote one. And chat, GBT wrote one. And then it asked people, which was written by Chet GPT. He will take a guess at the percent number 100% of the ones they showed them? Or they're 100% of the ones that were made chat GPT how likely were they to find the answer? Ad 52 essentially identical. Now we're talking about describing yourself and your family and your community and your interests and showing emotion. Yeah, people may not like the fact that technology can do that. But more that reality is going to be a mistake, exactly as you say how it's going to evolve, how it's going to change jobs, how it's going to I think improve our lives where the problems are going to become we don't know yet. But I think anyone who thinks that this is not going to change society as we know it, you're going back to the pre smartphone day, and our nation would never a world would never go back to that location.
Marco Ciappelli39:12
Agree. Great conversation. Dr. Robert Pearl I really always enjoy I mean, I learned so much and many different angles that I'm sure will let people get to think led them to think a lot so I want to thank you very much.
39:29
Website Robert pearl. The way the website Road program d.com will have a lot of information you can access articles on this topic. You can find other information on health care questions people might have, and I welcome people to go there and post comments and let me know their thoughts and ideas if they agree or if they disagree.
Marco Ciappelli39:53
And also a great newsletter that's it was got the idea of this conversation and all this has links that you just mentioned to get in touch with you. There'll be on the notes on this podcast so people can just go there, click and get to your website, subscribe to the newsletter and listen to your podcast. Great podcast, by the way. So again, thank you everybody for listening to another episode of redefining society podcast on ITSPmagazine. Share it if you like it, tell everybody subscribe. And we'll be back with some more up probably charge up conversation among others. So thank you, Dr. Pearle. Really appreciate it.
40:30
Thank you, Marco. It's always fun and I always appreciate your expertise.
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