GPT-5 Delays, Superintelligence, Humanoid Robotics and GPT-4 Is Not As Smart As You think

So in this video we're going to be covering some of the most important stories in AI and there is genuinely a lot to cover, so let's not waste any time. One of the things that was actually reported a lot when GPT4 was initially released was the fact that it passed the bar exam. And not only it passed the bar exam, it passed the exam in the 90th percentile. So this was a report from Stanford of 2023. Well, they were basically stating what does this mean right now for AI tools in the legal profession? Because it's clear that, you know, it not only passed but in the 90th percentile. This is pretty crazy and this is going to have a lot of impacts. But why am I talking about something from 2023? Well, apparently this result on GPT4's performance wasn't exactly accurate. You see, there was a recent paper where they decided to reevaluate the claims of GPT4's Bar Exam Performance performance. So they state that perhaps the most widely touted thing of GPT4's launch at zero shock capabilities has been its reported 90th percentile performance on the Uniform Bar Exam. This paper begins by investigating the methodological challenges in documenting and verifying the 90th percentile claim presenting GPT4's percentile are in fact apparently overinflated. Okay, so basically they're stating that they've done some research that I will dive into in a moment and they state that the results are quite overinflated. So they state that although GPT lower than a general test taking population. So it basically says here that second data from a recent July administration of the same Exam suggests that GPT4's overall UBE percentile was below the 69th percentile and and 49th percentile on essays. And I think this is rather important because whilst yes, this is still very impressive, if the results are actually over inflated as this paper suggests, it means that maybe this can, I guess you could say, realign our perspectives on where AI systems are probably going to be. Because whilst, yes, this is just not that bad, I think it's important because this was one of the things that a lot of news articles and a lot of AI researchers were looking at when they said, look, this system is very, very smart and this is something that is incredibly game changing. Whilst yes, it is game changing, I think we have to understand that sometimes there can be a little bit of, I guess you could say overinflation or a little bit of hype that leads us to believe these systems are a bit more intelligent. That they are. And the reason that this result was really important is because they're basically stating that, look, if we overestimate GPT4's capabilities, this might lead to misuse in legal tasks, which results in poor legal outcomes. And it actually did. People that weren't using the specialized version of GPT4 actually were subject to, I guess you could say hallucinations by the model when it repeated cases that just simply hadn't existed. So this is something that, you know, shows us that there is an importance to, you know, at least verify and check whatever comes out of these labs. Because whilst yes, it's important to, you know, look at, you know, what OpenAI says, it's always important to do your independent evaluations because yes, of course, these companies are always going to tout that the model is good at something. So I think that this was important because not only does it, you know, show us the true trajectory of where we are, but I think it's important because we can now look at where GPT4 is in certain areas and be like, okay, the capabilities aren't in the 90th percentile, they are actually in the 69th percentile. So I think this is something that is, you know, it's important because we can now be like, okay, this is how the graph is going and this is where things are going to head. So one of the articles that was also rather interesting was an article by the Information. They spoke about how, how long OpenAI's first mover advantage can last. And, and I think this is to pay for other models. And basically what they're showing us is that OpenAI slowly lead. And this is a little bit interesting because it shows that the race between these giant companies, Google, anthropic and OpenAI and of course meta with llama3 show us that, you know, it's pretty, pretty crazy in terms of how much of a lead the Anthropic has, but you can see right here that the share of Kruise Consulting's client startups dropping hats, but you can see right here that the share of Kruise Consulting's client startups paying for LLMs from respective providers. So of course OpenAI is at 67%. But what they're showing us is that Anthropic is rapidly gaining market share under a new, you know, their new model, which is of course Claude 3. Now this is important because it shows us that other companies are also managing to take the market share from OpenAI, which means that potentially OpenAI might want to step things up if they want to keep their market dominance. Now, competition, I believe, is of course good, but I think it's really important for of course the customer so that the customer can get the best product on whatever it is. Now, another thing that they said in this article, and that's the only reason I included this article in, because otherwise it would be a little bit boring, but was that this article actually gave us some relevant information regarding the GPT5 date. So it said, and of course there's still much awaited GPT5, which we're hearing could come out in December and could blow today's models out of the water. Only time will tell. Now, the reason I'm taking the information's information into consideration when discussing the future of models releases is, is because they've been remarkably accurate on what's gone on in the AI community behind the scenes. Like they reported on St. Markman's firing and a few of other things. Like before, a lot of the, I guess you could say big industry media giants managed to get to it. So essentially what we have here is we have them stating that the GPT5 release could be apparently, you know, come out in December. Now, this is a little bit surprising because the general elections are on November 5th. And I was thinking that they would be in November because according to a recent conference, OpenAI basically said they didn't really say it, but on a graph, the date that was plotted to when the next sample, the next AI model was scheduled to come out, it wasn't December, it was November. So I'm guessing that the November, December time is remarkably different from what was going on in the summertime. So I'm guessing that potentially what we will have in the summer is, you know, now that we know that this is going to be coming out in December after the general elections, okay. Or potentially late November. It means that it's looking like a GPT4O summer. So potentially the new voice model, which OpenAI have spoke about quite a lot, it seems like that's what's going to be their summer play. Now, if you don't know why I'm basically saying that's their summer play, it's basically because OpenAI realized that in the summer months, the traffic for OpenAI dipped quite a lot because there were people that weren't using this in academics anymore. So their traffic went down quite a lot. But this year they wanted to launch something during the summer so that people would continue to use the software. So it seems that we've Got an updated timeline for GPT5. So apparently this is going to come out in December, so you can update your timelines because there are some people saying that it's literally going to come out tomorrow, which is the Thursday, and that would be rather surprising. So, I mean, depends, but I would say the information's information is really, really solid, so don't take it with a grain of salt. So now in regards to GPT4O, they also released a new video in which they showed the dynamic range of character voices with the new AI system. Basically what they showcase is how an AI system can actually realistically sound very, very human. Like. So I'm going to show you guys exactly what they're talking about.

Hey, I'm writing a story. I'm going to have you practice a couple of voices with me for, like, you know, different characters. So for the first one, I'm thinking we're going to have like, a majestic lion. He's kind of like an old king and it's den. And I want you to see something like, who goes there? Be the lion. I really want you to, like, embody what that might feel like.

Who goes there?

Okay, that's pretty good. Now I want to add a second character, maybe a mouse that snuck into the cave. The mouse could say something like, oh, it's no one.

Oh, it's. It's no one.

How's that for a little. That's not bad. You make it a little squeakier. More like tiny. More like mouse.

Like, oh, it's no one. How's that?

That's pretty good. Okay, let's toss in an owl. Make the owl sound, like, wise, a little bit stoic. And the owl could kind of be like an advisor to the lion or something.

Who dares enter the king's den?

Okay, yeah, that's pretty good. Now let's think about what the villain might be. I don't know what animal would work best, but let's start with, like, some kind of laughter. Give me, like, a nice, evil, maniacal laugh. Not bad. Too, too squeaky. Make it more like.

So I think the reason this is so interesting, like, this entire demo was so fascinating to me was because, like I said before, the dynamic range of what this AI system can do in terms of its voice is really, really surprising. So I think the fact that this AI system can do laughter, it can do sound effects, it can do, like, a robot voice, which we saw in the previous demo. These are capabilities that I've long wondered why a lot of the other, you know, voice to AI voice companies why they weren't doing them because. Because it was something that if they could do it, I just knew it would truly, truly change the game. So I was truly surprised that companies like eleven Labs where you had that hyper realistic sounding voice, they didn't manage to do this. And another feature that most people didn't pay attention to was the fact that you can quickly and easily interrupt the AI when you're talking. So this shows us that GPT4O, I think that might be tomorrow as in Thursday. So that might be what people are waiting for. But it will be interesting to see what is released tomorrow because there is a lot of, I guess you could say information floating on about what is going to be released. And there's a Gemini event update scheduled for today being the Wednesday. So I'm wondering if you know, they're going to try once again to outdo Google. There was a new clip where Reid Hoffman was stating that Deepfake videos which are indistinguishable from the real thing are only months away. And this is a great statement because I'm going to show you guys something that was recently released that shows us just how like crazy things are about to get.

There is definitely technological solution that creates a kind of like what is the real providence of. It's like Reid is really here talking.

With Squawkbox and there's a thing are only months away. And this is a great statement because I'm going to show you guys something that was recently released that shows us a just how like crazy things are about to get.

There is definitely technological solution that creates a kind of like what is the real providence of. It's like Reed is really here talking with Squawk Box and there's a certificate that, that, that asserts that that goes okay, we trust that certificate.

Right?

I don't think that the ongoing battle of I have a video technology that can tell you looking at if it's deep fake certificate that, that, that that asserts that that goes okay, we trust that certificate, right? I don't think they're not. That's an uncertain ground. How far are we away from making.

This feel really real? So Becky, when you sat down, Becky was saying maybe that it didn't sound exactly at the T's, sounded a little flat.

It didn't have that. The ongoing battle of I have a video technology that can tell you looking at if it's deep fake or not. That's an uncertain ground. How far are we away from making.

This feel really real? So Becky, when You sat down, Becky was saying maybe that it didn't sound exactly at the T's, sounded a little flat.

It didn't have the same inflections that you have.

I will say the first answer that I saw sounded closer to you.

Yes, we're months away from just months. Yes, because it improves the same inflections that you have.

I will say the first answer that.

I saw sounded closer to you. Yes, we're months away from just months. Yes, because it improves. Right. So the lip syncing gets a little better, the gesturing gets a little better. The ability to go soft or loud or aggressive, all of that's just improving at the pace that software is improving.

So, yeah, he's.

So the lip syncing gets a little better, the gesturing gets a little better, the ability to go soft or loud or aggressive, all of that's just improving at the pace that software is improving.

So, yeah, he's literally talking about GPT4. Oh, and I think this is really important. Like, one of the things that really prevents people from falling for AI generated scams is because when you're literally talking about GPT4O and I think this is really important, like, one of the things that really prevents people from falling for AI generated scams is because when you're talking to an AI system like on the phone or something, like if it's a robo caller, the problem is that the voice range is non dynamic at all. It doesn't. Doesn't go like low like this, and then it doesn't go talking to an AI system like on the phone or something. Like if it's a robo cooler. The problem is, is that the voice range is non dynamic at all. It doesn't. It doesn't go like low like this, and then it doesn't go high like this. So you know that you're talking to a robot system when it literally just has a monotone tone like this. And it's very, very easy to understand. But what happens when that changes? When the bass norm, okay. Goes from a system that you know is monotone and simple. The base highlight this so you know that you're talking to a robot system when it literally just has a monotone norm, goes to a system that is constantly dynamic, constantly changing. It speeds up, it slows down on tone like this, and it's very, very easy to understand. But what happens when that changes? When the. It laughs, it's able to, you know, converse with you, it's able to understand jokes and references. Base norm, okay. Goes from a system that you know is monotone and simple the basis about your culture that only a few people would. And it's able to personalize, you know, thought norm goes to a system that is constantly dynamic, constantly changing. It speeds up, it slows down thoughts and ideologies to be able to scam you a lot more effectively. I think that is going to be a real, real problem for many individuals because many of us, okay, you know, it laughs it's able to know converse with you. It's able to understand jokes and references about your culture that only a few people would. And it's able to personalize, you know, so you might be young or knowledgeable in the field of technology and AI. And you might think that I have no idea how my grandma would get scammed by this AI call but I think that the same thing might happen to us when these technologies evolve even further. And this isn't just something that is like just a piece of news. This is like, you know, if you haven't seen this before, this is Microsoft versa one lifelike all thoughts and ideologies to be able to scam you a lot more effectively. I think that is going to be a real, real problem for many individuals because many of us, okay, you know, you might be young or knowledgeable in the field of technology and AI and you might think that I have no idea how video driven talking faces generated in real time. And we've seen a lot of different real time AI. You know, systems go crazy. So this is not something that I think is my gram would get scammed by this AI call but I think that the same thing might happen to us gonna be, you know, I guess you could say not happening at all. But it's just like if, even if I don't have the audio, you can see that these are literally just pictures. And how many pictures do you post online of yourself? Do you have a picture somewhere? When these technologies evolve even further and this isn't just something that is like just a piece of news. This is like, you know, if you haven't seen this before, this is Microsoft's Versa1 lifelike or that someone could use maybe an old Facebook photo. I mean the possibilities. And remember guys, the one thing that you have to consistently remember is that this is of course the worst it will ever be. Then we have the Startup Higsfield introducing Nova 1, our creative video model. This wouldn't be without the support of Nebuis Official. So they were able to video driven talking faces generated in real time. And we've seen a lot of different real time AI, you know, systems go crazy. So this is not something that I think is trained the model and this was kind of fascinating. So this is Higgs Field, this is their Nova 1 model. And I'm pretty excited about another video generation company managing to get into the space because I think companies like Piccolo be, you know, I guess you could say not happening at all. But it's just like if, even if I don't have the audio, you can see that these are literally just pictures. And how many pictures do you post online of yourself? Do you have a picture somewhere? Labs are really good. Like they actually push forward and they actually publish things and they're pretty, pretty that someone could use maybe an old Facebook photo. I mean the possibilities. And remember guys, the one thing that you have to consistently remember is that this is of course the worst it will ever be active, right? Whereas companies like Runway, I don't know if they're working on anything really big at the moment. They did state that they were going to be working on something that was a lot better than sora. But this Nova 1 model looks a little bit decent. Like it looks okay, it doesn't look completely awful, but it seems like there is a lot of movement in these. Then we have the Startup Higsfield introducing Nova 1, our creative video model. This wouldn't be without the support of Nebulous official. So they were able to, you know, different clips that we're being able to see. So like I've always said competition is good and with this I do expect that there is going to be of course a lot more train the model and this was kind of fascinating. So this is Higgs Field, this is their Nova 1 model and I'm pretty excited about another vehicle competition in the space when it does come to software systems like this. So that's why I'm highlighting Nova 1, because Higsfield is a smaller company. But I do think that you know, in the future it's your generation company managing to get into the space because I think companies like P Collabs are really good. Like they actually push forward and they actually publish things and they're pretty, pretty going to be a lot more impactful. And I don't know why PColabs didn't actually do a bigger announcement about this, but they actually did make some announcements slash improvements to their video model. So they added certain things where there is essentially a lot more dynamic range and a lot more movement. Previously what would happen is there wouldn't be a lot more movement forwards, backwards or rotationary just simply because it's pretty, pretty hard to do. But they quietly shipped this small update and I think they should have been a bit louder about it because it's a lot better. But I do think that considering the fact that Google also did their recent VO update where they show active, whereas companies like Runway, I don't know if they're working on anything really big at the moment. They did state that they were going to be working on something that was a lot better than sora. But this Nova 1 model looks a little bit decent. Like it looks okay, it doesn't look completely awful, but it seems like there is a lot of movement in the cased model that was really, really good. I made a video on it. It's literally really, really good. You know, different clips that we're being able to see. So like I've always said, competition. I think that, you know, once we get a model that can match Google's VO or OpenAI Sora, I think that that's where, you know, wild scale implications are truly going to come. Now the one X backed by OpenAI and another, you know, just a bunch of other companies managed to show off their final update, not their final is good. And with this I do expect that there is going to be of course a lot more competition in the space when it does come to software systems like this. So that's why I'm highlighting update. Do apologize for the audio there, but they managed to show off their Update. We're essentially Nova 1 because Higsfield is a smaller company, but I do think that, you know, in the future it's going to be a lot more impactful and I don't know why PColabs didn't actually do a bigger announcement about this. They showcased an autonomous robot swarm that was able to do a bit, you know, not a bit like a lot of different tasks. I'm going to show you guys the video because this is rather impressive. In fact it's remarkably impressive for what they've been able to do. And I think this is going to be one of the companies that does lead the robot revolution because they actually do have the brains and they've been working on. They actually did make some announcements slash improvements to their video model. So they added certain things where there is essentially a lot more dynamic range and a lot more movement. Previously what would happen is there wouldn't be a lot more movement forwards, backwards or rotationary, just simply because it's pretty, pretty hard to do. But they quietly shipped this, this problem for quite some time. So take a look at how the robots are actually, you know, coming into fruition in terms of being able to act together to achieve a certain goal. Your hey, could you and your friends tidy up here? We have some visitors coming, Small update and I think they should have been a bit louder about it because it's a lot better. But I do think that considering the fact that Google also did their recent VO update where they show. Cased model that was really, really good, I made a video on it. It's literally really, really good. I think that, you know, once we get a model that can match Google's VO. Or OpenAI Sora, I think that that's where, you know, wild scale implications are truly going to come. Now the one X backed by OpenAI and another, you know, just a bunch of other companies managed to show off their final update. Not their final update, a recent update. Do apologize for the audio there, but they managed to show off their update where essentially. They showcased an autonomous robot swarm that was able to do a bit, you know, not a bit like a lot of different tasks. I'm going to show you guys the video because this is rather impressive. In fact, it's remarkably impressive for what they've been able to do. And I think this is going to be one of the company. That does lead the robot revolution because they actually do have the brains and they've been working on. Can you please pick up the cup. So I think this problem for quite some time. So take a look at how the robots are actually, you know, come. That entire demo was a lot more impressive than people are giving it credit for because coming into fruition in terms of being able to act together to achieve a certain goal. Hey, could you and your friends tidy up here? We have some visitors coming. It was truly, truly impressive to see what the future is going to hold. So one of the things that I thought was really cool about this entire thing was of course, the voice commands. So these robots can now accept voice commands based on what someone simply says. So he was like, hey, can we tidy up this entire area? And I'm guessing that what they have is they have a system where. Your voice command is then interpreted into a, you know, policy. I'm not sure if it's with an LLM or whatever. And then the robot, you know, interprets the voice command, selects the right policy and then it gets to work based on what it should believe the desired outcome is. And you can see that all of these systems are seemingly working together like some kind of hive mind. And what they Also stated was that this is where you're telling an EVE to do multiple autonomous tasks back to back. So you can see it's cleaning up the spilled coffee, it's also pushing the chair inwards, and it's also managing to do things like bring the drinks to the meeting room. So it's a very, very impressive setup that they have here. And I think it's. Really cool how the robot was just in there and then she was like, hey, can you just pick up this mug? And it literally picked up the mug and went back. Now, I think this is, you know, impressive because it shows us what the future like. This is probably, I would say, the first realistic glimpse ever. That we've seen, scene of robots actually walking around somewhere and, well, not walking, you know, rolling around. Somewhere and then actually doing tasks autonomously from a human voice command. And this is all back to back. This is not like cut scenes at all. This is all one giant take, which makes this even more impressive. People don't know how hard that really is to accomplish. And like I said before, this is probably how the future of certain spaces are going to be, Where we've got, you know, five to six, seven different robots in one a certain area and a human giving them certain voice commands and the robot, you know, then interpreting that and then selecting the correct. Can you please pick up the cup quality and executing the action based on whatever it is. So I think the only thing stopping this from becoming a reality are of course, the two things, number one being the system, the AI, You know, the software that actually makes this feasible. And of course, the hardware. The problem with the hardware is that even if right now we had the software to do this, the biggest problem is that robots like Eve, which is 1X's robot, the hardware that they've built to, you know, move the software. The only problem is that it is very, very expensive. So these robots. So I think, and I'm not exactly sure on the price, but I remember somewhere looking online and the prices range from, you know, six figures. So it's basically like the 1990s, early 2000s, where, you know, flat screen TVs and, you know, huge giant computers were real. That entire demo was a lot more impressive than people are giving it credit for because it was truly, truly impressive to see what the future is going to hold. So one of the things really, really expensive. But over time, you know, these things come down. Now, now you can get a flat screen TV that I thought was really cool about this entire thing was, of course, the voice commands. So these robots can now accept voice commands based on what someone simply says. So he was like, hey, pretty much rolling them out the for free on computers. You know, the more compute that you can get for, like, the more bang for buck, the more you can get for your money is of course increasing because the. The rate at which the hardware has improved has far outpaced the price of these things. So I think that will happen in robotics as well. We also did recently get a robot that was, you know, only can we tidy up this entire area. And I'm guessing that what they have is they have a system where your voice command is then interpreted into a, you know, policy. I'm not sure if it's with an LLC, $16,000, but it's just about applying this software to these, so it will be interesting to see them or whatever. And then the robot, you know, interprets the voice command, selects the right policy, and where 1x is a couple years from now. Because this is genuinely an impressive demo. There was also. Then it gets to work based on what it should believe the desired outcome is. And you can see that. Also a fascinating interview with Roman Yapolsky. Okay. And the reason it's so fascinating is because he actually believes like, his percentage of doom, as in his percentage of AIs, you know, killing us, is 99.99%. So this guy is arguably stating that if we create general superintelligence, we're screwed. And in the video that all of these systems are seemingly working together like some kind of hive mind. And what they also stated was that this is where you're telling an EVE to do multiple autonomous Tasio. He makes a very, very important argument. Okay. Now the video is an interview with Lusks back to back. So you can see it's cleaning up the spilled coffee. It's also pushing Lex Friedman. I have to say, it's just. It's kind of mind blowing at, you know, his. His kind of thorpe, the chair inwards. And it's also managing to do things like bring the drinks to the meat process. But I think it's also, I guess it's worth a watch because the interview is over two hours long. And I watched the entire thing, and I want to say that it definitely, you know, brushed me up on some of the room. So it's a very, very impressive setup that they have here. And I think it was really cool how the robot was just in there and then she was like, hey, can you just pick up this mug? And problems with AI safety. So it's Important, you know, just put it on in the background. But the thing that I liked most about this interview was that he spoke about how you don't actually need to create a general. Literally picked up the mug and went back. Now, I think this is, you know, impressive because it shows us what the future. Like this is probably, I would say, the first realistic glimpse ever, or super intelligence like that is something that humans are just inherently barreling towards that for whatever reason, we don't need to actually do that. So basically he was stating that, you know, how currently we're trying to say AGI, AGI. He's basically just stating that with the current, you know, systems and the current plans and software that we're developing, we should just, you know, create super intelligences that we've seen of robots actually walking around somewhere and well, not walking, you know, rolling around somewhere and then actually doing tasks autonomously from a human voice, I guess you could say. Or, you know, narrow AI in certain areas, like maybe maths, like maybe, you know, for driving. And just focus on those areas. Because if we create a command and this is all back to back, this is not like cut scenes at all. This is all one giant take, which makes this even more impressive. People don't know how hard that really is. General intelligence, that one is going to be far worse for humanity because the outcomes are going to be, I guess you could say things that we literally cannot predict because with software, every time we scale up these systems, there are just a million different things that we literally can't predict. So with this, he's basically saying that, you know, if humanity doesn't realize that we don't need to create to accomplish. And like I said before, this is probably how the future of certain spaces are going to be, where we've got, you know, five to six, seven different robots and one a certain area and a human, a general superintelligence. But if we have something. And for example, I guess he's really right because we have things like AlphaFold that can, you know, predict the proteins folding problem. And that is like a super intelligent giving them certain voice commands and the robot, you know, then interpreting that and then selecting the correct policy and executing the action based on whatever it is. So I think the only thing system that focuses on just protein folding, he says that's the only thing that we need to do. And the. We shouldn't be focusing on general superintelligences. And I'm going to show you guys that clip. But there's also stopping this from becoming a reality. Or of course the two things, number one being the system, the AI, this clip right here. Because I think this actually solves another problem. But I'm going to come back to this one right. You know, the software that actually makes this feasible. And of course the hardware, the problem.

With the can definitely keep up for a while. I'm saying you cannot do it indefinitely.

At some hardware is that even if right now we had the software to do this, the biggest problem is that robots like Eve, which is 1X's robot, the hardware that they've built to, you.

Know, move this when the cognitive gap is too big, the surface you have to defend is infinite. But attackers only need to find one exploit.

So to you eventually this is. We're heading off a cliff.

If we create general super intelligences, I don't see a good outcome long term for humanity. The only way to win this game is not to play it.

Okay, well we'll, we'll talk software. The only problem is that it is very, very expensive. So these robots can. I'm not exactly short on the price, but I remember somewhere looking online and the prices about possible solutions of what not playing it means. But what are the possible timelines here to you? What are we talking about? We're talking about a set of years. Decades, Centuries. What do you think? I don't know for range from, you know, six figures. So it's basically like the 1990s, early 2000s where you know, flat screen TVs and you know, huge giant computers were.

Sure the prediction markets right now are saying 2026 for AGI.

And I thought that clip was really insightful because of course, you know, it's the game that we probably shouldn't play. And I think, you know, and I hope in the future that you know, some of these AI labs are like, wait a minute, you know, let's just actually just focus on narrow ASI and not do that. But I guess that, you know, you kind of need it to do really, really expensive. But over time, you know, these things come down now, now you can get a flat screen tv. They're pretty much rolling them out the door for free on computers, you know, the more compute that you can get for a lot of different things. But anyways, I guess what we have here is another clip. Okay. And this is one I do want to include because he talks about how one of the only ways to solve the human conflict problem, like the more bang for buck, the more you can get for your money is of course increasing because the, the rate at which the Hardware has improved, has far outpaced the price of these things, so is to have your own virtual universe where everyone is just happy. And it's kind of an interesting concept that I didn't even really think about. I knew that personalized experiences was going to be something that is huge in the future. Like it's going to be something that is just incredibly big in the future. But he basically talks about how there's a lot of conflict with human values because in this physical realm, there's a lot of things that I think that will happen in robotics as well. We also did recently get a robot that was, you know, only that people want that we, that we only have. And there's a lot of conflicts because certain people don't believe our belief systems or whatever. But the only way that we could potentially solve that is through creating our own virtual $16,000. But it's just about applying this software to these. So it will be interesting to see where 1x is a couple years from now because this is genuinely an impressive demo. There was also a fascinating interview with Roman Yapolski. Okay. And the reason is so fascinating is systems or environments where I guess you could say there's no problems and there's no frustration to solve.

Value alignment problem. I'm trying to formalize it a little better. Usually we're talking about getting AIs to do what we want, which is not well defined. Are we talking about creator of a system, owner of that AI, humanity as a whole.

But because he actually believes like his percentage of doom, as in his percentage of AIs, you know, killing us, is 99.99%. So this guy is arguably stating that if we create general super intelligence, we're screwed. And in the video, he makes a very, very important argument. Okay, now the video is an interview with.

We don't agree on much. There is no universally accepted ethics, morals across cultures, religions. People have individually very different preferences politically and such. So even if we somehow managed all the other aspects of it, programming those fuzzy concepts and getting AI to follow them closely, we don't agree on what to program in. So my solution was, okay, we don't have Lex Friedman.

I have to say, it's just, it's kind of mind blowing. You know, his, his, his kind of.

Thought to compromise on room temperature. You have your universe, I have mine, whatever you want. And if you like me, you can invite me to visit your universe. We don't have to be independent, but, but the point is you can be and process.

But I think it's Also, I guess it's worth a watch because the interview is over two hours long and I watched the entire thing and I want to say that it definitely, you know, brushed me up on some of the problems with AI safety. So it's important, you know, just put it on in the background.

But the thing, virtual reality is getting pretty good. It's going to hit a point where you can tell the difference, and if you can tell if it's real or not, what's the difference?

One of the last things I want to show you guys that was really fascinating that you can actually use is Gemini UI to code.

So this was a small but powerful.

App that uses an agentic framework to convert an image to code.

And this was what I liked most about this interview, was that he spoke about how you don't actually need to create a general.

It was really cool because it uses Gemini 1.5 Pro's increased vision capability, or super intelligence.

Like that is something that humans are just inherently barreling towards that.

And one of the crazy things was about this was the fact that they.

Were able to, for whatever reason, we don't need to actually do that. So basically he was stating that, you know, how currently we're trying to say AGI AGI. He's basically just stating that with the.

Current, you know, recreate GPT4's UI simply from just using the image of it. And it was remarkably, remarkably, you know, incredible what it was able to do. I'm going to show you guys that in a second. But right here you can see this is what it's able to do. So it's based on an image right here. So it has this image and I'm guessing that was of this.

You can see the systems and the current plans and software that we're developing. We should just, you know, create super intelligences, I guess you could say, or, you know, narrow AI in certain areas, like maybe maths, like maybe, you know, for driving, and just focus on those areas, because if we create a general intelligence, that one is going to be far worse for humanity because the outcomes.

Are going to the playground. It looks pretty similar to OpenAI's one, I'm pretty sure it actually is, but just on Mac. And then we can see here that what the system is doing, it's describing the ui, so it's converting the vision, what it's seeing into text. So you can see right here, it, you know, lines out where everything is. It's got the coordinates of where everything is and it's stating to be.

I Guess you could say things that we literally cannot predict because with software, every time we scale up these systems, there are just a million different things that we literally can't predict. So with this, he's basically saying that, you know, if humanity doesn't realize that we don't need to create a general superintelligence, but if we have something. And for example, I guess he's really right because we have things what all.

The styles are, and then after it has all of that data, then converts all of that into code, then converts that into a website. You can then download the HTML and then right here you can see click to upload the image. And then we get, you know, a working prototype for whatever we want to use it for. So I feel like this is really cool because a lot of the times what tends to happen is it's like.

AlphaFold that can, you know, predict the proteins folding problem. And that is like a super intelligent.

This disconnects between people who design user interfaces and then people who actually code them. So this could be something that bridges the gap between those two markets, because I know that that is something that is, you know, always been some kind of issue. So this is something that was, you.

Know, of course, really system that focuses on just protein folding. He says that's the only thing that we need to do and we shouldn't be focusing on general superintelligences. And I'm going to show you guys that clip. But there's also this clip right here because I think this actually solves another problem. But I'm going to come back to this one.

Right would be cool.

And then you can see here, I've improved the framework even more. He gave it GPT4.

Oh.

And then this is exactly what it came up with. So like I said before, this is.

Pretty, pretty can definitely keep up for a while. I'm saying you cannot do it indefinitely at some point.

And it gives you guys kind of like a small insight onto how in the future, quickly, things are going to be built. Like you could just have an image or something and it's going to be.

Able to build it really, really quickly.

So the capabilities are increasing. And let me know if there's anything I did miss that I should cover because there's still a lot to come on this channel.

When the cognitive gap is too big, the surface you have to defend is infinite. But attackers only need to find one exploit.

So do you eventually. This is.

We're heading off a cliff if we create general superintelligences. I don't see a good outcome long term for humanity. The only way to win this game is not to play it.

Okay, well, we'll, we'll talk about possible solutions and what not playing it means. But what are the possible timelines here to you? What are we talking about? We're talking about a set of years. Decades, centuries. What do you think?

I don't know for sure. The prediction markets right now are saying 2026 for AGI and I thought that.

Clip was really insightful because of course, you know, it's the game that we probably shouldn't play. And I think, you know, and I hope in the future that, you know, some of these AI labs are like, wait a minute, you know, let's just actually just focus on narrow ASI and not do that. But I guess that, you know, you kind of need it to do a lot of different things. But anyways, I guess what we have here is another clip. Okay. And this is one I do want to include because he talks about how one of the only ways to solve the human conflict problem is to have your own virtual universe where everyone is just happy. And it's kind of an interesting concept that I didn't even really think about. I knew that personalized experiences was going to be something that is huge in the future. Like it's going to be something that is just incredibly big in the future. But he basically talks about how there's a lot of conflict with human values because in this physical realm there's a lot of things that other people want that we, that we only have. And there's a lot of conflicts because certain people don't believe our belief systems or whatever. But the only way that we could potentially solve that is through creating our own virtual systems or environments where I guess you could say there's no problems and there's no frustration to solve.

Value alignment problem. I'm trying to formalize it a little better. Usually we're talking about getting AIs to do what we want, which is not well defined. Are we talking about creator of a system, owner of that AI, humanity as a whole? But we don't agree on much. There is no universally accepted ethics, morals across cultures, religions. People have individually very different preferences politically and such. So even if we somehow managed all the other aspects of it, programming those fuzzy concepts and getting AI to follow them closely, we don't agree on what to program in. So my solution was, okay, we don't have to compromise on room temperature. You have your universe, I have mine, whatever you want. And if you like Me, you can invite me to visit your universe. We don't have to be independent. But the point is, you can be. And virtual reality is getting pretty good. It's going to hit a point where you can't tell the difference, and if you can't tell if it's real or not, what's the difference?

One of the last things I want to show you guys that was really fascinating that you can actually use is Gemini UI to code.

So this was a small but powerful.

App that uses an agentic framework to convert an image to code. And this was really cool because it uses Gemini 1.5 Pro's increased vision capabilities. And one of the crazy things was about this was the fact that they were able to recreate GPT4's UI simply from just using the image of it. And it was remarkably, remarkably, you know, incredible what it was able to do. I'm going to show you guys that in a second. But right here, you can see this is what it's able to do. So it's based on an image right here. So it has this image, and I'm guessing that was of this. You can see this is the playground, and it looks pretty similar to OpenAI's one. I'm pretty sure it actually is, but just on Mac. And then we can see here that what the system is doing, it's describing the ui, so it's converting the vision, what it's seeing into text. So you can see right here, it lines out where everything is. It's got the coordinates of where everything is, and it's stating what all the styles are. And then after it has all of that data, then converts all of that into code, then converts that into a website.

You can then download the HTML.

And then right here you can see, click to upload the image, and then we get, you know, a working prototype for whatever we want to use it for. So I feel like this is really cool because a lot of the times what tends to happen is there's this disconnect between people who design user interfaces and then people who actually code them. So this could be something that bridges the gap between those two markets, because I know that that is something that is, you know, always been some kind of issue. So this is something that was, you know, of course, really cool. And then you can see here, I've improved the framework even more. He gave it GPT4O, and then this is exactly what it came up with. So, like I said before, this is pretty, pretty wild. And it gives you guys kind of like a small insight onto how in the future, quickly, things are going to be built. Like, you could just have an image or something, and it's going to be able to build it really, really quickly. So the capabilities are increasing. And let me know if there's anything I did miss that I should cover because there's still a lot to come on this channel.