STUNNING GPT-5 Details Are Finally Released....

So OpenAI have finally given us what they call the next level in terms of AI. We finally got the details on what GPT5 is going to be called. Graded at it is going to be the reasoners. That's where they're calling the next level of AI systems. And they're basically saying that this is going to be PhD levels and there were actually a few secret things leaked. So let's get into exactly what's going on. We can see here that Bloomberg have recently reported only around an hour ago about this insane article that to where OpenAI has developed a system to track progress towards human level AI, the company believes its technology is approaching the second level of 5 on the path to artificial general intelligence. Now, whilst that might not seem like some kind of monumental change, I'll show you all why this is a lot more important than you may have thought. So let's take a look and dive into this article to show you guys why this is pretty crazy. So the article reports that OpenAI has come up with a set of five levels to track its progress towards building artificial intelligence software capable of outperforming humans. The startup's latest effort to help people better understanding, thinking about the safety and the future of AI. The ChatGPT maker, seen by many as a leader in the race to build more powerful AI systems, shared the new classification systems with employees on Tuesday during an all hands meeting, an OpenAI spokesperson said and the tiers which OpenAI plans to share with investors and others outside the company range from the kind of AI available today that can interact in conversational language with people, to AI that can do the work of an organization. Level 5. Now this is where things start to get crazy because they're talking about going from level one, which is what we have now, which is stuff like GPT4, GPT 3.5, Claude 3.5, to all the way until level 5, which is the work of an organization. Now, when you start to think about the implications of an AI doing the work of an organization, you can start to wonder why this is such a big deal. It goes on to read that OpenAI told employees that the company believes it is currently on the first level, according to the spokesperson, but is on the cusp of reaching the second, which it calls reasoners. So that is going to be the new term that OpenAI is using in order to discuss exactly what's going on. This is what they call reasoners. So they said that this refers to systems that can do basic problem solving tasks as well as a human. And this is probably the point that you should take away from this video, and this is going to be something that I continue to emphasize, is that it can do tasks as well as a human with a doctorate level education who doesn't have access to any tools. And now this is pretty crazy, but why is this pretty crazy? So the reason this is so Incredible is because OpenAI are working on something that is basically at the level of a doctoral degree. This is the highest level of academic degree awarded by universities and other educational institutions. This signifies a high level of expertise and a specific field of study or profession. There are two primary types of doctoral degrees, academic, which are research focused and professional, which are practice focused. So you've got the academic doctorates, which are the Doctor of philosophy, the PhD, and this is the most common type of academic doctorate focusing on original research, the creation of new knowledge in a specific field. And it involves several years of coursework, comprehensive exams, and the completion of a dissertation based on original research. And of course, you've got other academic doctorates, and these include degrees like Doctor of Education, Doctor of Theology, Doctor of the Fine Arts, which also emphasize research but may have specific focuses within their fields. And when we take a look at the true definition of what a doctorate is, an AI system being able to do this is truly remarkable because we didn't know that this kind of jump was going to be there. And there were some initial things that people did say that were actually hinting towards this that you might have actually missed. There are two main clips that I've seen that showcase just how crazy this is. And now we know that for 100% certainty that the people at OpenAI and some of the people at Microsoft weren't lying when they said that GPT5 is likely to be at the PhD level. In this clip you'll actually see Kevin Scott, Microsoft's CTO regard GPT5 or whatever model they're going to call it, on the level of PhDs, basically stating that what OpenAI just said is actually pretty true. Now this actually happened around a week ago, not that long ago, but it was met with early skepticism because people didn't really know whether or not to trust them. Because of course OpenAI have been criticized in the past for talking about certain products, but not essentially releasing them.

We're seeing technically all of the things fall in place to have really durable memories with the systems reasoning, I think gets a lot better of the fragility in the current models are, you know, can't solve very complicated math problems and has to, you know, sort of bail out to other systems to, you know, do very complicated things. I mean, the way that maybe I would phrase it is if you think of GPT4 and like that whole generation of models as things that can perform as well as a high school student on things like the AP exams, some of the early things that I'm seeing right now with the new models is like, you know, maybe this could be the thing that could pass your qualifying exams when you're a PhD student.

This is another clip of Mira Moratti, OpenAI's CTO, where she was basically stating that GPT3 was toddler level, GPT4 was a smart high schooler, and in the next gen to be released in a year and a half will be PhD level. Now this once again was met with some early criticisms because many people were speculating that this was just the hype. And of course, since OpenAI haven't truly released any of their mind blowing products just yet, many people are starting to speculate whether or not OpenAI is living up to what they claim they are. And considering many other model releases have been recently released that are somewhat better than GPT4O they're spectating, they're speculating whether or not this is going to be true. But now we know that when OpenAI, the CTO or any members do say things, we can now be like, okay, we don't want to take it with a grain of salt anymore because we know that they're pretty much spot on.

These systems are already human level in specific tasks and of course in a lot of tasks they're not. If you look at the trajectory of improvement, systems like GPT3 where maybe say toddler level intelligence and then systems like GPT4 are more like smart high schooler intelligence and then in the next couple of years we're looking at PhD level intelligence for specific tasks. So things are changing and improving pretty rapidly.

Meaning like a year from now.

Yeah, a year and a half, let's say. Yeah.

Clip not only gave us the PhD level, of course, which is pretty remarkable when you come to think about the economic impacts of that. And of course we did get apparently a timeline which says a year and a half. So that means that we could potentially getting this model in pretty much late 2025, but it will be interesting to see how that kind of system is deployed. I do think when you do talk about PhD level intelligence, I think this will be firstly restricted most likely to research organizations. And the reason I do state this, and I know I'm going off On a tangent here, but just hear me out because what I'm about to say is probably going to happen. But if we take a look at this article right here, you can see that OpenAI caught Hollywood in meetings with film studios and directors. Now let me give you guys a quick rundown as to why this news is important. If you remember, SORA was the technology that was released and people were like, oh my God, this is crazy, this is amazing. However, we never got sora. We haven't got it, we haven't got access, we don't know if we're ever going to get access. Now why is that important? Well, if GPT5 is PhD level, what that could mean is that it's a very powerful system. And if it's so powerful, OpenAI might think, okay, we can't just give this out to the public because they might just jailbreak it and then we're going to get into trouble. So similarly to what they've done with sora, they might just go to some big corporate clients where they can actually use these models and actually profit heavily from them. So basically with what they're doing with sora is that OpenAI are courting Hollywood studios in meetings with film directors and film studios and they're basically saying that, look, we can't release it to the public because number one, they're going to be mad at us and number two, they might jailbreak the system. But what we can do is we can give it to you guys, you guys can just use it to make your films and, and I guess it's a win win for them. Now I think this might happen with GPT5 because they might have a really like extreme internal model that is just so smart that it's only able to be released to, you know, research organizations or charities that are doing some humanitarian work. And whilst, yes, this is pretty crazy in terms of kind of release that they could do, I don't think it is out of the question. You can also see here that, you know, OpenAI has a deliberate strategy of working in collaboration with industry through a process of iterative deployment, rolling out AI advances in phases in order to ensure safe implementation and to give people an idea of what's on the horizon. We look forward to an ongoing dialogue with artists and creatives. Now, since they've done that with sora, I do expect them to be doing something very similar with these advanced models, as iterative deployment is exactly what OpenAI is now about. And the reason that this is so crazy is because you can see that Here it says that this is like someone who doesn't have any tools. So. So imagine being able to do PhD level work without having access to any tools. I think that that is something that you might miss, but it's something that you really don't want to, you know, miss because it's truly important. Because what this also potentially states is that not only is the model that much better at reasoning, that potentially some of the agentic frameworks that we previously saw in some of the previously, you know, demos and videos from people like Andrew Ng, that focus on agentic capabilities and pushing the boundaries of what's capable with the current systems, I think maybe those are either now internal into the model or they've probably wrapped those agentic workflows natively into GPT5, which pushes those capabilities even further. So this is going to be truly impressive. Remarkable, because we're about to see how crazy things get. Article continues to say that at the same meeting, company leadership gave a demonstration of a research project involving its GPT4AI model that OpenAI thinks shows some new skills that rise to human like reasoning, according to a person familiar with the discussion who asked not to be identified because they were not authorized to speak to press. So essentially here once again, we also got something which is wrapped around GPT4 that apparently gets to human level reasoning. So once again, if you're unfamiliar with what this is, basically there's ways that you can use GPT4 in an agentic framework, and that just basically means getting it to think in a certain way and getting it to do tasks in a specific way. For example, if you ask GPT4 to think step by step before reading out its responses, it usually improves the response quite a lot. And what we can see here is that there has been an internal demonstration of a research project involving just GPT4. That means that it rises to human like reasoning, according to some people. So we don't know what this is or what this could be, but whatever it is, it shows us that OpenAI have once again managed to do something that clearly breaks the mold in terms of what is, you know, conventionally capable of in terms of these systems. So that thing right there, I do wonder what that is. I don't know if it's Q Star or whatnot. I do think if it was Q Star, we would probably have just heard that it's Q. But I do think that this is something important. Now, of course, the article continues to state that OpenAI for years has said that it's working to build what's often referred to as artificial general intelligence or AGI. Essentially computers that can do a better job on most tasks than most people. And such systems do not currently exist. And of course he expects that AGI could be reached within this decade. That's basically Sam Altman's predictions. So here's where we get onto the actual meat of the video. And there was a lot of meat in this article, which is rather surprising. They said here that AI researchers have long debated on how to determine the criteria for reaching AGI. In a November 2023 paper, which is one from Google DeepMind, several researchers at Google DeepMind proposed a framework of five ascending levels of AI, including tiers such as Expert and Superhuman. The rankings resemble a system often referred to in the automotive industry in order to assess the degree of of automation for self driving cars. So basically there was this paper from Google DeepMind which I'm going to show you guys all now and this was basically the paper. I'm just going to zoom in a bit here, but it calls levels for AGI, operationalizing progress on the path to AGI. Basically what they state here is that AGI is pretty confusing and they need to sort of map out how we can start to measure AGI because some people think GPT4 is box of AGI, but of course it's not. And some people would say that it's fully AGI, which of course it's not. Some people say it's just baby AGI. There's all these definitions and people would like a complete definition on where we are. So here we have the table. You can see that this is basically how they quantify rank AGI AI systems in terms of how capable they are. And you can see that currently we do have five levels here, but these five levels aren't the levels that I'm talking about is talking about. These are just basically similar to what OpenAI has recently done. And you can see that, you know, there's level two which is competent, which is at least 50% of skilled adults, expert, at least 90% virtuoso which is 99% and of course superhuman, which outperforms 100% of humans. And we can see that, you know, currently we don't have competent AGI yet, which is unfortunate, but eventually we will get there. And of course you can see that it's basically expert AGI is the one that's probably going to change the world. And virtuoso AGI is pretty crazy. And artificial superintelligence is something that we don't even need to talk about yet. So we can see here that what we are looking at are five different stages to artificial intelligence. And the reason that this is important is because this is OpenAI's internal way of gauging how capable their systems are. So we can see here that level ones are chatbots with conversational language. And the level that's got everyone talking is of course level two, which are reasoners with human level problem solving. Now, I think this is a lot bigger than people think, because getting human level problem solving from an AI system is something that is currently pretty hard to do because of the architecture of LLMs. These models are pretty generative, which means they predict the next token, and in doing so they don't develop real world understanding of certain things. Things. And some people argue that these systems are just pretty much predicting the next word, which means that they're just stochastic parrots. Now, there's a lot of evidence to support this and there's a lot of evidence against this. However, if we can manage to use these systems to get to reasoners which have human level problem solving, either be a tree search or whatever agentic capabilities that you might want to have, I do think that this is going to be a big deal, because what this does is this increases the reliability of the model and this allows it to be applied to many more different industries, which means the economic impacts and the kind of use cases that this AI system has is going to be vastly more impactful. So you can see here that some of the other tiers that we do have here are systems like agents, systems that can take actions, which are essentially autonomous systems that can spend days acting on a user's behalf, as you can see right here. And level four describes AI that can come up with new innovations. And the most advanced level would be organizations. So I think when we actually take a look at what's going on here, I think this shows us that even though this might be iteratively developed systems, I think each level is going to be even more crazier than the last, because going from nothing to a chatbot is pretty crazy in its own regard. Talking to an AI system all day is something that you can easily do with a remarkable level of accuracy. And then going to a reasoner that has human level problem solving is going to be massively impactful, because solving problems is something that these current AI systems struggle to do. Which means that if this is human level problem solving at a PhD level, that means it's likely to pretty much decimate all of the existing benchmarks that these current systems do struggle with. And it's going to be pretty crazy to see what happens here because we haven't heard any of the other companies talk about their future systems in the way that OpenAI is. And if we take a look at agents, that's going to be autonomous systems that can take actions. And recent reports show that, of course, this is, I think, about two years away and essentially going to be there in the next level. And if you don't believe me, I will show you guys a clip from that that I'll add to the video.

If you want an agent to act in the world, usually that acting requires you to, you know, engage in a series of actions, right? You talk to a chatbot, it only answers, and maybe there's a little follow up. But with agents, you might need to take a bunch of actions, see what happens in the world or with a human, and then take more actions. And so you need to do a long sequence of things. And for that long sequence of things to actually work, the error rate on each of the individual things has to be pretty low, Right? If I'm a robot and I'm like, you know, okay, I'm gonna pick up this thing and walk over there and I'm going to pick up that, you know, I'm building the house or something, there's probably thousands of actions that go into that. And so all of this is to say the models need to get more reliable because the individual steps need to have very low error rates. And I think part of that will come from scale. Like we need another generation or two of scale before the agents will really work.

But I think level four, which are the innovators that, you know, AI that can aid in invention is going to be absolutely incredible because an AI that can aid in invention is going to basically be an AI that could possibly aid in AI research. And if an AI can aid in AI research, it means that AI research is going to speed up quite a bit. And if that happens, we know that that feedback loop of AI aiding in AI research that makes better AIs that can do even more AI research, that's going to be where things start to go very crazy. And I think the last level, organizations, is one that is even crazier because organizations is something that I truly cannot even comprehend just yet. If OpenAI are saying an AI that can do the work of an organization is one of their level five goals. And whilst, yes, they essentially are on the brink of level two, I think, yes, level five is going to be some time away. But the fact that that is even a possibility shows us that what we're moving towards is a truly new future where things are just going to be absolutely incredible. Now, you can see here that they said that the levels were put together by executives and other senior leaders at OpenAI and it is considered work in progress. And the company will gather feedback from people, including employees, investors and its board, and may tweak the levels over time. So let me know what you think about this, where you think we are on this. I mean, some of this stuff isn't going to be coming for too long. But when I say too long, remember that's just in the AI world and that means it's only a year or two before rapidly capable systems are deployed, whether externally or internally. I still think the level of development in these companies and of course whatever's going on here is going to be crazy. Now, there's one last thing I do want to say because I think it might be true here. One of the things that I do think is true here, or that could be kind of interesting, is the fact that they didn't actually state that this was built on top of GPT4. Whilst yes, it probably is going to be built like a GPT five level model, one of the interesting things that I saw here and that I'm picking up on is that they are calling this reasoners and this refers to systems that can do basic problem solving tasks as well as a human can with doctorate level education who doesn't have access to any tools. So I'm speculating that maybe this model might not be like GPT4. Maybe the internal workings of the model are probably going to be extremely different. And I do wonder how that model is going to be scaled and how it's going to be deployed, because they didn't really talk about it as being just like GPT5 level in terms of just another model that they've scaled up. But I think that they're definitely exploring different ways to use this model in terms of how it's reasoning about its problems. And one of the things that Sam Altman did previously talk about in an interview with Bill Gates was that if GPT4O gives you an answer, sometimes we don't know whether or not that answer is good. But if you could take a thousand of those answers and then pick the top three, I guess that one would be a lot better in terms of the reliability. So maybe we're going to see something like that in these future models. That is being done internally. The only problem, though, that I would say, is that OpenAI doesn't release their research. So even if we do get reasoners, you know, considering that they're not calling GPT5 a chatbot anymore, it seems that what we're going to get, we're not truly going to understand the inner workings of it. We're just going to see demos and the results of it.