Open AI Q* (Q-STAR) Exposed - NEW Hidden Details Of Q*

So today we're going to be taking a look at the more details of Q Star because there has been some more information that I'm pretty sure if you are interested in this secret model, you're going to want to take a look at. So what I'm going to be doing in this video is of course looking at the irrefutable facts as well as some rumors so that we can actually get some balanced information out there to see what kind of picture we're looking at when we are talking about Q Star. So one of the first crazy things that happened recently was that Sam Altman actually confirmed that the Q Star leak was true. And before this, this meant that every video around Q Star was definitely some intense speculation. But now in the recent interview in the Verge, you can see that Sam Altman did state that the Q Star model breakthrough, he said it was an unfortunate leak, which essentially means that per his wording, this means that the information that came out was unfortunately true. So that essentially means to us that some stuff about the Q is most certainly true. But that means if Sam Altman has acknowledged this, then that means that there must be other information out there that means that this is true. So one thing that we do know about the Q Star leaks is that there was most certainly some kind of breakthrough at OpenAI. Now, of course, this isn't surprising considering that they are always pushing the frontiers on what is possible with AI technology. But it definitely shows us that although yes, on the Internet, a lot of leaks do come out to be false, this leak from Q Star that was first broke the news in Reuters is definitely holding some weight to it. And I did find the statement from him very interesting because it continued to state that he expects rapid progress in this technology, which means that this breakthrough definitely accelerates the timelines for certain technologies to be developed. I'm not saying AGI, but definitely pushes us forward in that aspect too. His further comment, and you likely did see this if you watched the previous video, he says, without commenting on any specific thing or whatever, we believe that progress is research. You can always hit a wall, but we expect that progress will continue to be significant. Now, one of the things that I did want to talk about was of course, the letter and some information and some further documents have come out that have rounded up some pieces of information. There's one thing that I did want to include in this video because it's something that everyone is forgetting. Earlier this year, everyone may have forgot that Meta's powerful AI language model actually leaked on the same area that OpenAI's supposedly leaked letter leaked. So you can see here, this article from the Verge says that Meta's powerful AI language model has leaked online. What happens now? Meta's llama model was created to help researchers, but leaked on 4chan a week after it was announced. Some worry the technology will be used for harm. Others say greater access will improve AI safety. So essentially the reason why this is a key piece of detail is because of course this letter, the one that many people are talking about as a conspiracy or someone regarding as fake, which is completely understandable by any means necessary, we shouldn't jump to conclusions. It did leak in the same way that Meta's Llama did leak and the llama model leak was actually true. So. So it does mean that there is a possibility that this leak the letter is actually true. And later on in the video I'll show you some more information that does show us that it could be true. But before we do a deep dive onto the letter. So essentially here you can see that I'm going to take a look at some of the irrefutable facts because it's important to look at exactly what is true, then compare that with the leaks to see if there's any bridge between the two. So one of the first things is that of course Sam Altman did confirm the leak is true. And Sam Altman did talk about a major breakthrough two weeks before Sam Altman did get fired for a vague reason. Search and planning is the future with AGI. They are working on GPT5 and Reuters did claim it would harm humanity. And OpenAI have been working on cybersecurity with the White House. So before we do this deep dive, let's take a look at these facts and then we can remember this as we do analyze the information because it presents the context for analyzing the letter and and the various sources throughout the Internet to see if this information about Q holds up with any weight whatsoever. And we're going to come back to this page here because it'll make sense once we're done. So you can see here, essentially this is a post on 4chan and this is an anonymous message board where users identities are hidden. It's just essentially the way how the website was designed. This is a post from a user and this person says it's strangely technically accurate and alarming more than anons think. And anons is just referring to other users on the website. It says select optimal policy action policies in deep Q networks exhibiting metacognition. We did talk about this last Time. But he said this means that it selects the policy rather than the just next best action, which is what Q learning consists of. It goes beyond. And then it continues to say apply this for accelerated cross domain learning. That is, it was able to change the policy depending on what it was supposed to learn, which, which is really cool. Which means across many different domains and many different categories, it's going to be really effective at learning. Then of course, custom search parameters, scrambling the goal state, it can decide on the optimal parameters for learning, which is more meta. So it's just essentially even smarter at learning. Then of course, we have unsupervised learning analyzed millions of plaintext cipher fairs. This is the kind of data it would process after learning how to attack cryptosystems, finding patterns in it. And then of course, we have cracking AES 192 TAU analysis project Tundra. So this is where we do get a bit of information because previously, although we did analyze the letter, there were certain things that were in this letter that were essentially hidden deep on the Internet. And this reference to the claim that is inside the NSA's war on security by Spiegel, the NSA Tundra product, investigated a potentially new technique, the TAU statistic, to determine its usefulness in codebook analysis. So essentially, if you didn't know when it says nsa, the NSA is the National Security Agency in the United States. And of course, this is a secret project that they work on to of course crack the AES 192. And this was essentially an old project that they did have before. So like I said, I'm going to show you guys some key pieces of findings from this document where it houses together all this information. And we're going to take a look at this article as well, because it's really interesting. And then of course, we do have targeted unstructured pruning on itself, which does seem like something that's quite impossible. But if we've seen anything with these new models, we do know that models gaining superhuman abilities isn't completely unheard of. Although being able to like, change its complete rewiring is something that we haven't heard of. And of course it says using a metamorphic engine to adapt the pruned transformer model and context memory. And then it links to a Wikipedia page that shows a polymorphic engine, also known as a mutation engine. And you can see on the Wikipedia page here, which shows a polymorphic engine, sometimes called a mutation engine, is a software component that uses polymorphic code to alter the payload while preserving the same functionality. And it says polymorphic engines are exclusively used in malware with the purpose of being harder for antivirus software to detect. So they do so by either encrypting or by obfuscating the malware payload. And of course, the thing is, with a polymorphic engines or a mutation engine or mutating engine is essentially means that this thing is changing all the time, which means that its code isn't the same. And the reason that it does this is because it wants to essentially hide from the antivirus software. So that's why there's a reference to this in this document, which is definitely pretty interesting. And then this last comment here says if Altman sat on that info and didn't inform the board, it's not a mystery that he got the can. And this would completely explain their crazy behavior. And the reason that this last point does make a lot of sense is because I can't find a single reason that they brought Ford would have fired a CEO like Sam Altman if something huge wasn't at stake here. And you have to also remember that it was Elon Musk that also said that he trusts Ilya Suskava quite a lot. And he knows that Ilya Suskava's judgment is really, really good. So whatever Ilya Sutskova saw that prompted him to take such drastic action to firing Sam Altman from the board means that it wasn't something that was a slip up, but that it was clearly something that was quite different, dangerous, or something substantial. And of course, here we're going to take a look at the cracking AES Tau analysis and Project Tundra because previously I did not see this information on the Internet, but now that we do have it, it is a pretty interesting read. And of course you can see here a grave threat to security. And this is on the article. So it talks about how for the nsa, breaking of the encryption methods presents a constant conflict of interest. The agency and its allies do have their own secret encryption methods for internal use. But the nsa, the National Security Agency is also tasked providing the US National Institute of Standards and Technology with technical guidelines in trusted technology that may be used in cost effective systems for protecting sensitive computer data. In other words, checking cryptographic systems for their value is part of the NSA's job. And then of course, it continues to talk about the thing AES. So it says one encryption standard the NISP explicitly recommends is the Advanced Encryption Standard. The standard is used for a large variety of tasks from encrypting the pin numbers to, to yada, yada, Yada. And then of course you can see here that Project Tundra which the letter. And like I was saying, this is of course reference to this part right here where it talks about given an AES 192 ciphertext by using TAU analysis, which is essentially the method that they previously used in Project Tundra, which is essentially why some people on the Internet were saying that this could have been possible because it didn't just do this at a random, it did this using previous techniques that were being worked on. The reason that this was really interesting was the fact that we also did have to dig up this information quite a bit. And you can see that Project Tundra here and this is essentially from a United States leak. So the only way we know about this is because it was leaked from the government several years prior. But of course that does mean that someone could have just added this to this letter if it was completely fake. And it does also say Tundra electronic code books such as the Advanced Encryption Standard are both widely used and difficult to attack cryptanalytically. And it says that the NSA only has a handful of in house techniques. The Tundra product investigated a potentially new technique, the TAU statistic, to determine its usefulness in codebook analysis. And this project was supported by redacted of R21. I'm guessing that's why it talks about this and essentially says that it used the same method achieving the goal, which is of course cracking the AES 192 in a way that we fully yet do not understand. And of course you can see here that it says the fact that large amounts of the cryptographic system that underpin the entire Internet have been intentionally weakened or broken by the NSA and its allies because poses a grave threat to the security of everyone who relies on the Internet. From individuals looking to privacy to institution and companies relying on cloud computing. Many of these weaknesses can be exploited by anyone who knows about them, not just the nsa. So this is something that isn't new information like Project Tundra. And all this stuff was information that was revealed ages ago in leaked documents from the United States. And these are from the Snowden leaks. And Edward Snowden basically leaked a bunch of stuff that he thought that the public should know about. So that's why people are having this question that is it possible that since there was all of this leaked data that with these new AI systems did OpenAI use a new model and use previous techniques that we further hadn't developed on and then use them again with the combination of new generative AI or potentially a new method to achieve Project Tundra's alleged goal. And of course, there's an article that basically breaks down why this.