HUGE AI NEWS: OpenAI New BREAKTHROUGH? Stunning New AI Image Model, New Robotics Company And More

So one of the first things that actually happened was something@OpenAI. Now this video is rather interesting because Roon, a former, you know, well, not former, a potential OpenAI employee, there's various. So one of the first things that actually happened was something at OpenAI. Now the details are vague as per usual, if you know anything about OpenAI drama. But we did get this cryptic tweet from rune, a potential OpenAI employee. There's not much information confirmed. And, and also Mark Chen, someone that is an SVP research at OpenAI. So this is a really interesting tweet. And I actually said to myself, like, what do you mean that OpenAI is back? I didn't even know that they were gone, you know. So I decided to tweet this. I said what happened? I didn't even think OpenAI were gone. And Rune responded saying, to be honest, I think we had just an extremely fun party. Now I think that that is a funny comment. Maybe they did have a really fun party, but it's quite possible that they did have some other information going on. So we actually got this information that Operai managed to poach three top engineers from DeepMind. So if you're not familiar with Google DeepMind, that's the company business behind Google's Gemini models. And essentially the reason that this is pretty incredible is because we do know that when we take a look at all of the AI research that exists in the space, a large majority of the innovative research happens has come from Google AI engineers and researchers. Which is incredible because of course now that we have three top leading computer vision researchers, Lucas Bayer, Alexander Zhaohua, all three of these individuals have left Google DeepMind to join OpenAI. And this is incredible because they were behind state of the art vision approaches and open source models like vit Siglip and Palijama. So this, this is a huge boost for OpenAI in terms of talent because they're able to get really smart individuals on their team. And that does mean that now OpenAI are basically housing some of the world's best talent. Now this is something that is rather fascinating. Later on in the video I'll talk a little bit more about OpenAI and some of the things that they have said. And recently we did get Sam Altman that was actually talking about how AI agents are going to work in the.

Future as its capabilities go up. Maybe right now you can give it a 5 second task without supervision and eventually you give it a five minute task and then a five hour task and then a five day task and maybe someday it can go to a five month task and that's like a, you know, full scientist off exploring something. But I think it'll feel more like that. It'll feel more like an increasingly senior coworker. Not one moment it was not autonomous and then one moment it was.

And I think Sam Altman stating that, look, you're going to be able to do a five day task or five month task, I think that is something that is pretty ridiculous. Not ridiculous in the sense that it's not going to be possible, but ridiculous in the sense that this is crazy that we're starting to talk about this as a possible reality in AI. Before I continue talking about the crazy stories in AI today, let me tell you about a tool that's changing the game for content creators. Today's episode is sponsored by Wondershare Verbo. As someone who spends hours creating AI news content, I know how challenging video production can be. Wondershare Verbo is an AI avatar video generator that's caught my attention because it lets creators make videos without ever stepping in front of a camera. What's really interesting is how it can transform any text into video content. Using over 300 lifelike AI avatars, you can even create talking photos that bring still images to life. Perfect for those who want to keep their content faceless while maintaining a professional look. For my international viewers, here's something cool. VRBO can translate your videos into different languages with perfect lip Sync, offering over 460 voices across 90 countries. They've even integrated ChatGPT for script generation, which could save hours of writing time. If you want to try it yourself. VRBO offers two minutes of free video credit for new users. Whether you're thinking about starting a channel or looking to scale your existing content, check it out@vrbo.wondershare.com now let's get back to today's mind blowing developments. Now, we also did see that Amazon unfortunately is seeing hackers. You know, one of the things is that AI makes a lot of things really easy, know, easy and it lowers the barrier to entry. You can see right here, the Wall Street Journal interviewed someone at Amazon and they said, how many attacks are you seeing these days? And C.J. moses says we're seeing billions of attempts coming our way. On average, we're seeing 750 million attempts per day. Previously we'd see about 100 million hits per day. And that number has grown to 750 million over six or seven months. So this is something that is absolutely insane. And you know, Wall Street Journal asks, is that A sign that hackers are using AI. And Moses responds, without a doubt, Generative AI has provided access to those who previously didn't have software development engineers to do these things. And now it's much more ubiquitous, such that normal humans can do things that they couldn't before and they can just ask the computer to do that for them. So that is something that I think is going to be an unfortunate reality for the future. We're largely going to get a lot of these hacks that are going to be there now when it comes to Amazon, that isn't the only thing that Amazon are in the news for. They're actually in the news for a lot of good things, which is pretty good considering Amazon haven't had that much to do with the AI space in terms of releasing their own foundational models. But of course, now we get to see exactly what Amazon have done. So recently, Amazon, I released a video earlier today on my channel talking about how Amazon have literally joined the generative AI space in terms of their foundation models and they're actually firmly wedged within the AI ecosystem. They released three models that were Nova Pro, you've got Nova Lite and they've got Nova Micro, essentially a Pro model that is quite like Gemini Pro in terms of where they're trying to place the reasoning capabilities. Quite like a GPT4O scale model. Of course you've got Nova Light, which is essentially a much smaller model and a much more lightweight model. And then they of course have Nova Micro, which is of course a tinier model for other sort of use cases that you're able to do, which essentially just means that you're able to use this model for a lot of quick use cases where you just need basically an LLM to verify certain things. So you can see here that the Nova models are the ones in the orange. So you can see Nova Pro here, you've got Nova Light here and you. And you've got Nova Micro over here. So overall you can see that this model is right next to Claude 3.5. It's right just above Mistral Large 2 and Llama 3 145B. And of course you can see for the flash models, the Llama 3 170B GPT4O mini, that's where Nova Lite is. We can see for Nova Micro, it's quite like these 8 billion parameter models. Now, like I said before I released a video on this earlier today, you can go and check that out. But it is really interesting to see Amazon getting into the AI stage. At this stage now, I think it's important for Amazon to do this because, you know, they have a lot of things that they're probably going to use these models for. Of course, they've got Alexa, of course they've got other Amazon products that they probably might need to use these models for. So developing your own foundation models is really good because although they do have a really solid partnership with Anthropic, it makes sense for them to develop their own foundational models. So, so they can actually control certain things that they want to. So that is something that I think is rather important for them. Now, another thing that I made a video on as well is that Amazon are going to be developing their own chips, which is their Trainium 2 chips, so that they can train these things as much as possible and so that they don't have to rely on Nvidia. And they actually talk about how they're going to be basically developing this supercluster, which is going to be used to train Claude and many other AI models.

This is something that we're building together with our partners in Anthropic, and it's actually going to be several hundred thousand chips and they're focused on and so new training, two chips. And so we expect that this should deliver them five times more compute than they've used in their last model training. And so we're really excited about what they're able to accomplish and, and they're expecting to build much bigger and much more capable AI models from that large compute cluster. We built our own chip actually. And so we've built our own chip, it's called Trainium 2. And we're quite excited about the performance, performance that we get out of that. And that's combined all in these really large ultra clusters that combine 64 trainium chips, all to deliver 83 petaflops from a single node. And so that is the first innovation is our Amazon designed custom silicon that gives us really unparalleled performance for generative AI capabilities. And then we build these together with high performance networking that we also build in house.

So I think, yeah, when we actually take a look at what Amazon are doing in the space here, I think it's going to be really interesting to see how they manage to speed up the kind of ecosystem, because not only do they have their own models, but they have their own clusters where they're able to train models quicker, faster and more efficiently. So it's going to be something really interesting to see now. So we actually had an interesting interview where These individuals were regarding the China situation. And that situation is where a lot of these companies, slash countries are really, really competitive in nature. And right now there is this big elephant in the room with as to whoever gets the AGI first is basically going to control the entirety of the, of the human race. Because if you get to AGI, you get to asi, and basically once you get to the asi, you basically have powers over anyone else. That's not me saying something crazy. That was actually said by a former OpenAI employee. And basically in this interview they're discussing what that means and how China is accelerating due to open source models being freely available.

A question you should ask is what is China's greatest AI accelerant today? And the answer, not from us, but from people inside the AI field say it's meta, it's America's companies releasing open source AI is causing China to go faster.

Yeah.

Are you kidding?

No. And just in a Senate hearing recently, OpenAI insiders revealed that basically they were not appropriately locking down and securing their AI models.

Why would they not do that?

So it's like China actually sees OpenAI as maybe one of the biggest accelerants of their progress if you, you can steal the model. So it's like the Manhattan Project. Like we're developing this very powerful technology. It's only as safe as it is secure. If you just leak the secrets, we're not going to beat China by running faster and leaving the door wide open for someone to steal it.

Luma Labs AI introducing, you know, surprisingly introducing their new photon text image models. Now this is absolutely incredible because essentially what they've done here is they've managed to introduce a model that is text to image. And the reason that is crazy is, is because they are originally a video company. So I wouldn't have expected them to come into the text to image game. And even if they did, I wouldn't have expected them to make a model that is not only better than anything that exists on the market, but also a model that is cheaper than anything that exists on the market. So this is crazy because I remember people were stating that look, like every month or so, every piece of AI technology or tool is literally going to be close to zero in terms of cost. And literally every month we see that there are new tools, new things released that are not only better, but also cheaper and faster. So it's one of the craziest things I've ever seen. Like if we're just taking a look at the aesthetic, the instruction following, the composition the overall, we can see that Luma Photon ranks levels above midjourney, above Flux 1.1 Pro, above Recraft V3, above Ideogram V2, and above Stable Diffusion 3.5 Large Software. This is something that I think is remarkably incredible considering the fact that when we take a look at how fast things are moving, we have companies that are literally out competing each other every month. I remember when Flux 1.1 Pro was released, everyone was like, there's nobody that's going to defeat them. And then, of course, we had other companies, then we had ideogram V2, and now we've got Luma Photon. So this is going to be something that's absolutely insane. And we actually also decide to look at the cost. We can see here that this is 1.6 cents, so for a 1080p image, and 0.4 cents for a really fast image. So it's going to be absolutely insane in terms of what we're able to do with these models at scale, in terms of content creation, in terms of just a wide range of creative uses. So we also do get this video here, which they show you exactly how it is able to adhere to your prompts. So I think that this is something that is really, really effective because prompt adherence is something that's not discussed enough. And I remember when I first got into the image generation space, I was like, okay, a lot of these images look cool, but they don't really state slash, do exactly what I want them to do. Now we actually get some Elon Musk news here, and this is actually some great news for Elon Musk. So Elon Musk actually got a really, really nice deal with Nvidia. I'm not sure how he managed to land this, but he managed to land priority for Nvidia's GB200 delivery in January with $1 billion. So Elon Musk's company has managed to secure chips for his, you know, company. And this is actually crazy because I remember that it was Sam Altman that was actually in an article, you know, not in an article, but it was in, like a Microsoft meeting. And allegedly he was stating that, you know, Elon Musk is literally getting too much computer. Like, how is he able to get so much compute this quick? Microsoft, what is going on? And apparently he was, you know, not furious, but just quite agitated that he could get so much compute in such a short time, considering the fact that Microsoft have billions of dollars, they have all those relationships, but Elon Musk somehow managed to, you know, secure These chips secure the compute before, you know, Sam Altman has. So this is something that's pretty incredible here. Of course, we also have the fact that Elon Musk also decided to file an injunction at OpenAI, essentially trying to prevent them from doing a wide range of things. And you know, I guess it's understandable. I covered this in another video. But the gist of this is that Elon Musk doesn't want OpenAI to continue performing the way it is because number one, safety researchers have left. Number two, you've got the situation where OpenAI and Microsoft are, you know, doing these anti competitive practices. Number three, OpenAI is trying to get this, you know, monopoly where they are basically saying to people, look, don't invest in XAI. When you're investing in OpenAI, you're only allowed to invest in us. And of course, number four, the fact that OpenAI completely abandoned its original mission of being a non profit company and is now trying to switch its for profit status. So it seems that Elon Musk is really trying to stick it to Sam Altman. I also got to see this tweet where someone breaks it down. It says that Elon Musk has managed to bulldoze Sam's political attempts, has first access to the new Nvidia GPUs and, and already already has the biggest cluster and is tying up OpenAI's move to for profit in court and owns all the real world concept streams. For example, you know, he owns Tesla, which has humanoid robots, he has autonomous cars. He also owns X, this social platform. And someone says, how does Sam Altman win here? And you can see, he says OpenAI has likely already started a Manhattan Project with the US government and is training on government user data, which is probably quite accurate considering the fact that there are some people that are deep within the USA government that actually work at OpenAI. But of course you have to remember Elon Musk was recently, I think he's recently hired as the Department of Government Efficiency for the United States. So it's going to be really interesting to see how that works because Elon has firmly wished himself as an ally of Trump. And of course now that Trump's the President, that is a lot of power. So it's really interesting to see the power plays that are going on. And of course, if you aren't familiar with what's going on between Elon Musk and Sam Altman, there has been a long going feud between those two ever since Sam Altman has decided to make that company for profit. Now in more Elon Musk news, Elon Musk basically just confirmed that with Grok 3 they're basically going to address, they're basically going to add court cases to the training set. So GROK will be able to render extremely compelling legal verdicts. This is going to be super interesting because we know that there are some companies out there that are working on this kind of thing. But of course it seems that Grok3 apparently is going to be the best model ever. It's not me that's saying that, but Elon Musk earlier this year did state that GROK is going to be one of the best models in terms of pretty much everything and it should be released later this year. I'm not sure I'm going to hold them to that timeline because as we do know, Elon Musk is rather optimistic with his timelines in terms of anything he releases. And of course with AI, not just with Elon Musk's company, but we've seen numerous, numerous slowdowns in terms of the timelines for certain models. For example, Claude 3.5 opus was supposed to be released. Gemini 2 was already supposed to be released and unfortunately we haven't managed to see anything just yet. So it seems like we will see what this month entails when it comes to AI releases. Now, one of the craziest things that I personally think was just absolutely insane was the fact that we had the Tesla bot that was able to perform this catch not once but twice. Now I know that most people, like I saw that there was a comment on my video that had 100 likes and it was like, until this is, you know, autonomous, I don't really care and I don't think that that's the attitude that people should have. I know that yes, this might be tele operated, but I think it goes to show what is possible with the current robotics hardware. Which means that like, if this was completely autonomous, do you know how, how advanced these robots would be? And I think this, you know, needs to, you know, really, really let you understand where these robots are going to be in the future. Because if this, you know, right now is teleoperated in three years something like this might not be teleoperated. And if we have robots that are able to catch things out of midair, you know, this is like a lot better than a lot of people would do. Like you think the average person can catch a ball out of the midair quickly. And you have to think about it like this. If we're able to have these Robots mass scale perform one software update. Now they can jump, now they can backflip, now they can punch fight like Bruce Lee do, you know, 10 different billion things. I mean you have to understand what the kind of impact that has on the world. So I think, just saying, you know, aha, it's, you know, it's tele operated, yada yada yada. I completely get the skeptical factor that, you know, companies try to wow us with these amazing tech demos and then they never deliver on the final product. Completely understandable. But regardless or not, whether it's this company or another company, it seems like this robotics future is going to be there. And of course one company that is doing that is Magic Lab. And they recently showcased this demo where they actually showcased a fleet of humanoid robotics that are existing and then they just get up and go to work. So I think this demo was rather surprising because we got to see how a fleet works together as a team and how they manage to perform certain tasks in harmony. So we've got to see these robots be able to pick up certain things, able to perform certain tasks. We've got to see them interact with the real world. And the craziest thing about this was that this company, they're not working in stealth, but they don't really perform regular updates in terms of what they showcase to us. Like they'll just come out with a new video every six to seven months or so and they'll just showcase what the robot is able to do. So this is something that I think was super interesting because we got to see the robot actually walk a decent speed. I mean, if I actually rewind it quickly, I'm going to show you guys exactly what I mean right here. So you can see that like on the left hand side we can see that the robot is just walking pretty normally and then on the right hand side we can see it's walking quite fast because it doesn't have anything in its hand. So these robots are a little bit more advanced than some that currently exist. But it does seem like they have some sort of simplistic hardware that focuses on the raw details needed to achieve the task. So I'm really excited to see what comes out of China because I wouldn't be surprised if they literally just come out with a bunch of humanoids that far surpass anything that the US has to offer, simply because right now that is their main focus. And when it comes to factories and efficiency, they are really, really hard to beat. Now we also had Elevenlabs actually release something that is a competitor to Google's Notebook lm. If you aren't familiar with that tool, that's essentially a tool that allows you to convert books to and PDFs into podcasts. 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