OpenAI's NEW SHOCKING Statement On AI (Open AI Board Statement)

So there was a rather fascinating statement put forward by an OpenAI board member which was quite concerning if you are someone in the working world, which many of us are, and it's pretty much quite the norm now that we've seen AI technology advance for people to make predictions on what the future is going to be like. However, this one is concerning labor and economics, so it's a little bit different. But it's still rather important. You can see right here that it says Larry Summers, now an OpenAI board member, thinks that AI could replace all forms of labor. Just don't expect a productivity miracle anytime soon. So this video is going to break down this statement because there's actually quite a lot to dissect and a lot more than people do know because number one, he's a board member and number two, he's actually one of America's leading economists. So we know that his predictions actually do hold a very low, large amount of weight in terms of the prediction scale. So let's actually take a look. So one of the first things you might not know is of course who Larry Summons is. So he's actually held quite a lot of positions throughout his career. And I do think that before we dive into all this stuff, I just want to give you guys a quick 30 second rundown on this guy because you might not realize his importance in terms of predicting the economy because he was actually the director of the National Economic Council for President Obama, where he actually played a key role in shaping the US in response to the 2008 financial crisis. And he actually also served as the chief economist of the World Bank. So a variety of different positions around the world and those are some very, very high positions in terms of the economy. So this is someone that does have a lot of experience and they do know what they are talking about. But let's take a closer look at some of his statements because, well, there's actually a little bit more to what he's stating. So one of the things that he actually stated that might seem a little bit confusing, but it's actually pretty simple when you take a look at it. So he says, you know, the right general rule with the respect to technological innovation is that things take longer to happen than you think they will and then they happen faster than you thought they could. So essentially right here he's stating that the innovation that we've seen with these technologies, in order for it to be adopted, it might take a little bit longer than we think. And then of course it's actually going to be deployed faster than you thought they would. But I'll explain this further because it's actually quite fascinating on the kind of concept that he describes and it really does make a lot of sense. And another thing that he also did say that I think is quite controversial considering where intelligence is going. And I would like to see your opinions on this because I think this is one that is rather important. He did actually also state that it says, unlike many proponents of AI, Summons thinks AI's potential isn't going to fully reveal itself anytime soon. I don't think that this is going to drive a productivity miracle in the next three to five years. He said. Now it's currently 2024, which means in the next three to five years that gives us a timeline of all the way until 2029, when we know that likely AGI is about to be achieved. And I would say I potentially do want to disagree with this statement because while whilst the rest of his statement is, you know, really, really accurate and considering the fact that he said some other things that have pretty much predicted the landscape of AI and what we've seen, this one I kind of do understand, but at the same time I kind of don't understand too much. So essentially he's stating that, you know, three to five years is when, you know there isn't going to be a productivity miracle. However, I do think that a lot of businesses are adapting this and I think once any agents are a thing and once agents do get solved, I think that maybe this statement might not hold up because the way how technology is rapidly advancing with things like Devon, things like autonomous agents, I think if they do get solved in the next two years, then maybe the productivity miracle might be there. But of course there is a lack of adoption. But AI is something that does move faster than we think. So this kind of prediction is going to be one that I wouldn't say is something that you should hold against him because, you know, predicting AI is very, very, very tough. And even people who are in the space constantly get shocked by what they see. So there is something that he does describe and it does actually make complete sense because, you know, it's an economic concept. So one of the things that he does say is that he says that crossing the last mile of technological development, when a revolutionary technology turns into something that the general public can use, usually takes longer than people hope. He cited what he termed the productivity general J curve, arguing that realizing productivity gains from a new idea takes years of investment, research and development. And essentially the productivity J curve is a concept that describes the typical pattern of productivity when individuals or organizations adopt a new tool, system or process. And this idea was popularized by Paul strassman in his 1985 book, the Information the Transformation of Work in the Electric Age. And basically the J curve illustrates that when a new technology, process, or, you know, whatever it is, is introduced, the productivity often initially declines, which we can see right here in this area and before it eventually improves and then surpasses the previous level, which we can see up here. And of course, with that, we then do get this J pattern that you can all see. And then of course, apparently this technological J curve has three different phases. So we do have phase one, which is of course, disruption, which is right here. So this is where things start to get disrupted. When a new tool or process is introduced, productivity tends to decrease as people tend to learn about this new system and they have to adapt to this new system. So this is essentially the first dip in the curve. This is initially stage one. Then of course, we have the transition, which is as people become more familiar with the new tool or process, productivity begins to increase drastically. And this is represented by the upward slope in the J curve. Then of course, we have optimization. And once the new tool or process is fully integrated and optimized, productivity surpasses the original level, resulting in significant improvement. And, and this is the top part of the J curve. And this is step three. So understanding this is pretty pivotal to understanding how some of these technological developments that we're going to see in a lifetime could actually pan out. Because whilst you might think, yes, AI is going to be deployed tomorrow after it's revealed today, that doesn't always happen because we do have a pretty, pretty good model for how certain things are deployed. And I think this is somewhat true because when GPT 3.5 was first announced and then when GPT GPT 4, there were actually a ton of different use cases that many people didn't even realize. And it was only after some optimizations in terms of the prompts, in terms of the tutorials, I think that this, you know, is something that does take time to pan out. The only thing that I would say though, is that in order for this to pan out, I would say that this kind of technology does happen a little bit quicker. So this entire J curve cycle that we're seeing here, I think that would happen. But I think that this dip followed by the rip is definitely going to be quicker than most people think. Because this isn't like robotics. This isn't some new process. This is Just an AI system that it's pretty much plug and play. So as we know, the future models are going to have, I guess you could say not more control, but more, I guess you could say, autonomy and behavior in terms of what they do do. So it will be interesting to see how this productivity curve actually does pan out. Now, what he actually also does discuss is that he says, if one takes a view over the next generation, this could be the biggest thing that has happened in the economy since the Industrial Revolution. He added, so this is a pretty, pretty crazy statement. And he says, like, like the title says that this offers the prospect of not replacing some forms of human labor, but almost all forms of human labor, which is pretty incredible. Those two statements there, I think people might underestimate the weight of those words, but I think those are some words that I've been, you know, looking at for quite some time. Because when so many leaders of their industry are continually just stating the same thing, I think it becomes rather ignorant to ignore what kind of economy and what kind of world we're going to be entering, especially from what we've seen so far. And if you don't know why this is so crazy, this is because the Industrial Revolution was a period of significant economic growth that occurred during the late 18th and early 19th centuries. And it actually marked a pivotal epoch in human history, primarily beginning in Britain before spreading to other parts of the world. And it was actually characterized by shift from agrarian economies to those dominated by machine manufacturing in factories, significantly impacting social, economic and technological landscapes. And the transition actually induced new technologies, improved productivity, and changed the way people lived and worked. And key innovations include the steam engine, mechanized textile production, and developments in iron and steel manufacturing, which collectively transformed transportation and communication. Which is why, if he's stating that this is going to be the biggest thing since the Industrial Revolution, I mean, we haven't had something since then that has been that pivotal, you know, apart from pretty much the Internet, which means that AI is going to be a sheer, sheer monumental change that most people won't even realize because they haven't been paying attention to videos like this, statements that are being said, reports that are being released, and discussions that are being had across the world because they aren't making national headlines. And the reason why I'm discussing the Industrial Revolution is because, number one, he spoke about it. But number two, it's actually really important in terms of AI because, you know, the Industrial Revolution is actually pretty important when discussing AI for several reasons. And the first one is, you know, just as The Industrial Revolution marked shift from manual labor to mechanization in various industries. AI actually represents a contemporary shift towards automation and intelligence based labor. And AI technologies are actually going to automate cognitive tasks that were once thought to only require human intelligence, which actually redefines job roles and industry practices. Which means the paradigm shift that's coming is one that, you know, even the smartest people in the economy might not be prepared for. And in addition to that, there are many more implications that do need to be discussed. Now the fourth Industrial Revolution, which is something that many people have discussed, it actually refers to the current era of rapid technological advancement and, and societal transformation, which is illustrated in this image. I'm not sure if we're going to be living in cities that are like these. Maybe there's more efficient ways, but there are actually, you know, things that you do need to be made aware of. And I'm going to be covering these in another video. But I'm going to cover some of the things that are pretty much visual right now that you can really see that are being worked on that are key pillars of the fourth Industrial Revolution. And I do think that we are in one of the most interesting times. So one of the first ones that of course you know about is artificial intelligence. Now I've only put these systems here because I believe that they're the most recognizable systems. But artificial intelligence actually does cover a variety of different softwares. I mean we've got, for self driving, we've got end to end neural nets in robots and AI, it covers so many different things. I mean those were just a few things that I can rattle off the top of my head. But, but large language models are just a subsection of that. And it's a very, very broad scope because AI is really going to change how we do a lot of things. And like I said before, I think a lot of people are only starting to see the glimpse of what is possible with AI. And funny thing is that this is obviously quite an old image because we have Bard and we also do have PI and two of these actually no longer exist. So it will be interesting to see what companies do exist at the end of this Industrial Revolution. Maybe it's just going to be one, maybe it's going to be more than that. But you know, it will be fascinating to see. Now there are other parts of the fourth Industrial revolution. For example, we do have Vrar and I think that this is one of the things that I'm truly excited for because for example, you can see here that this is Medved ar, an augmented reality company. And it says combining AR with tractography in real time surgical AR helps to elevate precision in brain tumor removal while preserving crucial brain functions. Our latest case showcases the transformative potential for neurosurgery, enhancing safety and efficacy. So you can see here, essentially augmented reality is where you have, you know, it's not like virtual reality, but we have the standard reality. And then on top of that we, we put some graphics, some free stuff, or we put, you know, like a web application over it where you can interact with the technology. And in the real world it's basically merging digital and physical, not like completely virtual. And it's really good for real world applications like this where you do need to see a little bit more detail than what we are currently seeing. And this isn't just some sci fi, you know, nonsense. This is a real company that actually does have real applications and is going to be rolling this out sometime in the future. And there are a lot more applications for, you know, augmented reality. I'm not sure if some people did play Pokemon Go, but those were some of the early iterations of that in terms of the entertainment space. And I think this is going to be really fascinating because we've already seen a lot of AI devices come in, like Humane's AI pin and Rabbit's device. And I think in the future, when we have a situation where you can have an AI device, you know, tell you exactly what's going on in your area, exactly what that is, if there's a danger, if you should run, if there's something that you should know, if you should go here, I think it's going to be pretty much the norm as we become not cyborgs, but, you know, largely, largely augmented. Now another thing that we do have in the fourth Industrial revolution is we do have healthcare in AI. This is essentially something that you should definitely be paying attention to because there is a radical, radical, radical change coming to healthcare in the fourth Industrial Revolution that many people aren't really paying attention to. And essentially healthcare is going to be changed due to AI and due to the way how things are going to be connected. So what we're looking at here is Nvidia's recent announcement to essentially automate healthcare. And I think this is good because healthcare, even in some of the most developed nations actually doesn't do well. It's expensive for some people, especially in the uk, the traditional systems, the public systems, can be quite slow since many people are overworked and unfortunately understaffed. So this is a system that seeks to utilize generative models in order to provide healthcare that you are able to access. Pretty much 24 7. So take a look.

Hi, Sarah. I'm Rachel, your AI care manager. How are you doing after your appendectomy?

You know, I'm good. I'm glad to be home with my dog, Dennis.

It's great to hear that you're back home with Dennis. I noticed that Dr. Chang has prescribed you some antibiotics, specifically ciprofloxacin and metronidazole due to your ruptured appendix. Were you able to get these medications?

I was. I did forget to mention to the doctor that I am allergic to penicillin.

Is it still okay to take the medications? Great question. The antibiotics you've been prescribed, ciprofloxacin and metronidazole, don't contain penicillin. So it's perfectly safe for you to take them. Can you begin taking them today? Yeah, I certainly can.

Do you have any tips for faster recovery?

Given that you have diabetes, keeping your blood sugar levels in check will be beneficial for your wound healing. Your hemoglobin A1C was at a healthy level of 5.5, but your glucometer readings from yesterday were a bit on the high side. So keep taking your metformin and try to steer clear of foods high in carbs. How does that sound to you? I think I'll be able to avoid the carbs for the week.

You know, I need to go right now, but it was great talking to you.

I'm glad we had this talk. I'll pass along your progress to Dr. Chang. Goodbye. Goodbye.

So something like this sort of disruption, I think it's pretty healthy considering the previous concerns that I've already spoken about. And I think it's going to be fascinating to see how this is rolled out. I know for some people, they are really, really nervous with healthcare. So I think it would be, you know, great for some people who aren't nervous to go into the doctors. I know that so many people have anxiety when trying to talk to a doctor. So being able to talk to an AI doctor that knows your entire history to, through a maybe 10 million, you know, token context, length that's able to look at every single health issue and then of course not forget anything and come up with a comprehensive health report. I mean, this is going to be something that is going to be scaled to the masses, I think, in the near future. And I truly can't wait for this kind of system because this is the kind of technology that genuinely just benefits everyone and it's the kind of thing that we should be hoping for. Now there's also something else that we are, you know, been preparing for and something that we've been taking a look at and that is of course, robotics. Now robotics in the fourth industrial revolution will play a huge, huge part because the robots will be doing a lot of tasks that mainly humans don't want to do. Now this could involve some manual labor tasks, but right now it's quite unsure because robots seemingly haven't overcome Moravex paradox where, you know, things that are easy for humans are pretty, pretty hard for these guys. So I mean, I think in the future it's going to be fascinating to see where robotics heads because whilst yes, the future does seem like tradesmen are never going to be replaced by robotics anytime soon, you can really never say never. If that's one thing I've learned from being in the AI space, because it can truly shock anyone, even the most eagle eyed people who watch the space like a hawk. So I think yes, whilst these robots can be doing the washing up, they can be doing things around the house. I think they're definitely going to be working in factories and potentially in some stores to do quite a lot of things because it seems as if once these things get so good, and of course due to economies of scale, very, very cheap, that we could just truly, truly have a entirely different economy. One that isn't basically based around the labor of humans, but rather a different kind of value. Now, something that he also states. So another thing that he actually does talk about is EQ and of course iq. Now essentially you can think of IQ as your brain's raw processing power. This is how you measure your cognitive abilities like reasoning, problem solving, logic, memory and knowledge acquisition. And of course, like I said before, just think of it as your brain's raw processing power. Now of course you have eq which is emotional intelligence and essentially this just measures your ability to understand, use and manage your own emotions as well as recognize and respond effectively to the emotions of others. And this is actually about self awareness and empathy. And there is going to be a shift towards valuing EQ more because of course automation and the changing workplace actually means that the cognitive abilities you do have aren't going to be valued as much if they're as easily automatable by AI. So as AI takes over more routine cognitive tasks, it's the uniquely human skills that become more valuable. EQ centric abilities like communication, teamwork, adaptability and leadership. Are harder for machines to replicate. So success in a complex world where you are trying to navigate interpersonal relationships, build trust, influence others, and manage conflicts all actually rely heavily on your emotional intelligence. And these skills are actually pretty much essential in almost these skills are pretty much essential in almost every profession. And high EQ is actually linked to better stress management, stronger relationships, and overall resilience. And that doesn't mean that IQ isn't important. It's still pretty valuable. And it's a valuable indicator of cognitive potential and is actually pretty necessary in many, many fields. But it's just that moving forward, it's definitely something that you don't want to be lacking in due to the change coming in the economy. Now, of course, like I already said, Larry Summons speaks about this. He said last year that I think ChatGPT is coming for the cognitive class. It's going to replace what doctors do, which is hearing symptoms and making diagnosis, before it changes what nurses do, which is helping patients to get up and handle themselves in the hospital. Now, I thought that this is pretty interesting because of course, the cognitive class typically refers to those workers whose jobs involve significant cognitive work, such as decision making, problem solving, planning, and creating activities that involve mental rather than physical effort. This group can involve a wide range of professions, from software developers with Devin, engineers and scientists, to writers, lawyers, and financial analysts. And when someone says that AI is going to wipe out the cognitive class, he's pretty much expressing a concern that AI and automation technologies are becoming advanced enough to perform tasks that previously actually just required human intelligence. And this concern suggests that many jobs currently performed by humans, especially those that involve complex cognitive skills, could potentially be automated, leading to significant changes in the workforce, which of course could lead to job displacement for those who are in those. And of course, it can be cost effectively automated by AI systems. Now he actually does talk about this.

Here's the thing. Here's the thing I'm seeing more and more. I think it's coming for the cognitive class. ChatGPT is going to replace what doctors do, hearing symptoms and making diagnoses before it changes what nurses do, helping patients get up and handle themselves in the hospital. It's going to change what traders do going in and out of financial markets before it changes what salespeople do, making relations, making relationships with potential clients. It's going to change what authors and editors do before it changes what people in bookstores.

Do.

And so I think this is going to be an enormous change over time in our society. And I think it's got a great Opportunity to level a lot of playing fields. And I have to say, David, that I think some of the people who've been quickest to say structural change is just something you have to live with and accept as the part of modernity when it was happening to other people, people who maybe wore uniforms to work, are now going to be seeing it happen to them and it'll be interesting to see how they respond.

So, yeah, and the funny thing is, is that although some people might be like, Larry Summers doesn't know this, he doesn't know that he was actually pretty right about that. Remember this AME a research AI system for diagnostic, medical reasoning and conversations. This was something that you can clearly see here. I might include a clip from the video where I broke the entire thing down. But essentially what we had here was the clinician unassisted clinician assisted by search, clinician assisted by the AI tool and the AI tool only, which is, you know, if you have the human versus the AI system only, we can see that there was a huge, huge increase in terms of the ability and the accuracy. And I remember even reading some comments, people were like, why on earth are we not using this if clinicians are this good and an AI system is this good? So, I mean, the question still remains, why are we not using it? It's probably due to the huge, huge list of regulations surrounding new technology, especially in healthcare. But I think we can at least allow these tools to be used as some kind of tool so that at least the clinicians get this stock boost. Because there is a, you know, a pretty big difference. And this big difference here could mean the difference between someone getting the right treatment and the wrong treatment. So I do hope that there is some kind of tool that doctors are using pretty differently now. Now, this statement wasn't the only one that kind of, you know, I guess you could say was, was, was imprinted in my mind. There were two small clips that I want to show you that kind of made me like, okay, this is not an issue, but it is something that I am going to be paying a lot more attention to now. And there are two clips, okay, the first one is that this economist is basically saying that this time is different. Whilst people have previously said that, you know, this is just like before, there's going to be new jobs, this economist says that this time is different and her reasoning makes sense. And I want to show you guys this clip. Now, the clip might not be included in the final video due to maybe copyright. I'm not sure if it's going to get copyrighted or I might have to remove it, but if I do, I'll leave a link to this in the description where you can view the video with this. So it's going to be no problem. But I just wanted to, you know, tell you what she says. She basically says that this time is going to be different. And she talks through exactly why. And it's, I wouldn't say frightening, but I would say it's eye opening.

Have you had your great ethical technology lay off anybody?

Yeah, I mean, us personally, no, but we've gone into businesses where, yes, customer service, they're no longer there. Writers, they're no longer there. Salespeople, no longer there.

So your technology that you have been asked to bring into a company has in fact led to higher unemployment in those companies.

Correct.

Okay, I just want to be clear that that is one purpose of this technology is to be labor replacing.

Correct.

It is also, to the good doctor's point, labor enhancing. I have been through in my personal life as an economist, three waves of the robots are going to eat all of the jobs. And at the end of every wave of debate and existential hand wringing, we have had more jobs. But this rodeo is different. What strikes you?

And I think that clip right there is a bit different. Now, of course, you could watch the entire thing. Like I'll leave a link to that. I'm not just going to leave you guys on a cliffhanger, but she basically just describes that, you know, this time it's different because, you know, it's the entire automation process.

About what you heard here so far, this version of technology, as you've said a couple of times, Martin, is evolving very rapidly and in a way that is human esque in its ability to almost think we're not there yet, but we might be moving there faster than anybody has anticipated. In fact, never before in history have we been less sure of our predictions of what is about to happen, which means we should be much more cautious about how we are approaching it. But that makes it harder to regulate because it is usually regulation happens after something terrible has happened.

So yeah, that's why I said, you know, if we are unsure about the predictions and make sure to, you know, know exactly what's going on. And then of course we had Mark Cuban with a few statements that were, I wouldn't say concerning, but like I said before, rather eye opening because once again, when you have so many of the world leaders stating that this is, I wouldn't say an issue, but something that they're focusing on, I would say I think it's, it's, it's, it's a decent opinion to hedge your bets, at least in the opinion that you know something is going to happen and you don't want to be on the wrong side of history.

The amount of change we're going to see over the next five years, 10 years, will dwarf everything that's happened over the last 30. We went from automating pen and paper, right, with spreadsheets, to connecting PCs into local area networks to, you know, connecting them. Connecting people locally. Yeah, locally, right, to connecting networks to get the Internet to getting the network effect of communicating people globally. But now we're introducing machine intel, you know, artificial intelligence, machine learning, deep learning, neural networks, etc. So. And what that enables is the automation of automation, right? And so the people who were writing software, particularly at the lower end, unless you, you're doing these advanced things, they're gone, right? The people that the software's writing itself, it's doing itself, right. It's just math programmer back in the day. So when I was writing code, it was the algorithms were if this, then that, right. Xor whatever it may be, right. But you had to guess, right? You had to use your, your best instance and then it got smarter and smarter and smarter and libraries to do bigger and better things. All that is being automated.

And this clip goes on to talk about the various sectors where there's actually going to be quite a lot of automation. And, you know, he also does pretty much mention that, you know, some of these jobs are not coming back. And I think that is going to be a key, a key thing to remember that this time is going to be a bit different. And I think that's why this is a little bit more concerning.

And so now you have to know how to use that stuff. So either software works for you or you work for software. And once the software takes over, you're gone, right? So unless you understand that, you don't understand that the nature of work is changing, the nature of employment is going to change. And from a business, from a stock perspective, but it's bad news for employment and it's bad news for people who are disrupted. Well, and that's part of the thing, right, is that, is that there's a time when GM was the largest employer and the company like GM was what employment looked like. If Facebook's what it looks like, the revenue per employee at Facebook infinitely larger.

Right.

Than any automated maker manufacturer could. The difference is the time lag, right. The timeline so what took 20 years before and then became 10 could be five or three. And so when you start getting that massive amount of disruption in employment, what do you do? The whole nature of employment is going to change. There aren't manufacturing jobs coming back. There aren't more coal mining jobs coming back. No matter what you do to the epa, they are going to be. A lot of these jobs are going to be gone. Now the. There's still physical things. If you do infrastructure, you can kind of, you know, buy some time, right? Spend more, get temporary jobs to build roads, build bridges, which is all fine and good, right. I think you can get a return on much of those things, but you're going to have to recognize that there could be more people out of work.

So, yeah, I'm not sure how much of the clip I showed there, but he basically talks about how there's going to be a ton of people out of work. And I'm not saying this just like scare you guys and just because one thing I don't like is when content creators just say something and they just give their opinion and just leave it as that. I think it's always good to present a kind of balanced argument. So he does discuss about manual labor and certain people in trades that will be, I guess, mostly unaffected for the near future. But he does talk about the fact that stock market, there are things going on there where the labor force is just continuing, continuing, these companies are continuing, continuing to lay off people while still remaining as effective, if not more effective. And it just goes to show that, you know, these jobs mainly won't come back. And it's just a question of, you know, what happens next. Because if some of the leading economists can't predict this, then how are some of the average people going to make decisions? And this is definitely why I created my second channel, because I wanted to focus on this stuff. Because whilst like I said before, AI technology is good, it's fun, it's interesting. I think there is a real concern for the average person who's in the working world that at least wants to position themselves in a good position so that they aren't just left without a job or have no idea where the economy is heading and what to predict or what to do. And that's what I've been doing on the channel. There's actually going to be a lot of content there. And I don't really find this as work because this stuff is honestly just fascinating to me because I think we live in the one of, one of the most interesting times and on this channel I've literally been, you know, discussing life after AGI, certain stories that you need to be aware of and of course, changes that individuals can make to better themselves. So if you do want to check that out, you can check that out. It's going to be somewhere where I discuss a lot of in depth ideas on the economy and some of the things that I think are changing. And of course with statements from individuals around the globe, leading economists and just pretty much paying as close attention as I can so I can ensure that whatever career prospects I do have or some of my friends have, I can at least advise them and ensure that they aren't making the wrong decision. Because I think this future is so uncertain that, you know, it does require a bit of attention if you do want to succeed. Because, you know, for example, I think that, you know, let's say, for example, you weren't paying attention to Chat GPT and you were a writer. Okay. I'm guessing that if you knew Chat GPT was coming, you probably may have considered a different career earlier on. So it's just trying to look ahead, see what's coming, knowing what the trends and just trying to predict that. So if you want to check out that channel, you can. But we did also have a rumor, and I'm going to discuss this a little bit More on the second channel, but Sam Altman thinks GPT 4.5 will automate a million jobs globally. And I do think that this tweet is completely false because and whilst I did see this floating around and Sam Altman has said that there will be labor displacement, I don't think GPT 4.5 is coming anymore. Just of the rumors that I've seen and just because of how OpenAI has moved. Maybe they just watched a project, maybe this is real. But I think it's going to be interesting to see how GPT5 changes the labor landscape. And if some of the predictions from this are true, if it is really just three to five years, and if it does happen slowly, then all at once, I do think it's going to happen very slowly, then probably all at once. And I do think that the lag time isn't going to be as quick. But OpenAI have opted for iterative deployment, which does mean that they are going to give the economy, governments time to sort of adopt the technology, figure out solutions, which is pretty good. At least they're not just dropping it like a bomb. But I'm just thinking, are other companies going to do the same with the kind of terminal race condition that we do have. So with that being said, let me know what you thought about this. If you enjoy and want, you know, more stuff on the discussion, don't forget to check out the link in the description for this. If these clips didn't play, don't forget to check out the other links in the description to everything and all the resources. And let me know what you think about Larry Summers and his economic predictions. I think it's always important to take a look at what kind of the leading economists for the last couple of years have said, and I think the fourth Industrial Revolution is going to be one that is rather fascinating. So if you did enjoy the video, I'll see you all in the next one.