ElonMusk AI Is GAME Over! Googles New Health AI OpenAI Sora Exposed

So one of the first stories that I found to be truly fascinating was that Elon Musk actually dropped his suit against OpenAI and Sam Altman. Now this was fascinating because if you weren't aware, Elon Musk was in the process of suing Sam Altman and OpenAI because essentially what he was stating, that they didn't really stick to the deal of OpenAI. If you're unfamiliar with the backstory of how OpenAI came to be, let me give you guys a little rundown. Basically, in the early days of OpenAI, they set out to develop AGI or artificial general intelligence for the benefit of humanity. But of course, over time that project had been transformed into a for profit entity that's largely controlled by the principal shareholder, Microsoft. Basically Musk was like, look, we started this company for one thing and the founding agreements that we were going to create AGI that was going to benefit the entirety of of humanity. But over time this nonprofit has turned into a for profit that is now controlled by Microsoft. What's going on here? I'm going to sue you guys. And essentially he did a 35 page complaint plus attached exhibit that he filed in March to remind the world of his position in the creation of a company that since has become one of the hottest startups on the planet. And OpenAI ranked first on CNBC's Disruptor 50 list, largely thanks to the viral spread of ChatGPT. So essentially, Elon Musk on Tuesday surprisingly withdrew his lawsuit against OpenAI in and two of the company's founders, Sam Altman and Greg Brockman, in California's state court. So his decision to file to dismiss the suit came just one day after he publicly criticized OpenAI and its new partnership with Apple. The case was dismissed without prejudice, according to a court filing obtained by cnbc. And of course, the case was actually built on a questionable legal foundation because the contract at the heart of the suit was not a formal written agreement that was signed by all parties involved. Essentially this was more of like a verbal agreement rather than something they all wrote on a document and signed. So this is something that had a very shaky legal ground. So overall I think this is rather fascinating because now I'm trying to dive into the real reason with, as to why Elon Musk decided to withdraw this suit. Did he somehow figure out that, look, maybe over at X AI we're actually developing our own proprietary software, AGI level systems that are doing quite well. And considering the fact that, you know, Elon Musk himself has done some remarkable AI developments which I'M about to talk about in the next AI story. I think maybe he's thinking, you know what, I can catch OpenAI somehow as long as I manage to do Tesla and X AI with a lot of the stuff that's going on in the background. So him withdrawing from the suit, I think maybe this is just, you know, a tactical move for him to just further his efforts and focus his time onto what really matters. And if you're wondering what Elon Musk might be working on, well, I'm going to show you all and how crazy that is in the next story. So Elon Musk's Tesla recently did a kind of announcement that was rather fascinating. They spoke about the rundown of what they've achieved since 2018 under Elon Musk's leadership. Now, this was truly incredible. They detail every single thing that's been going on since Elon Musk's leadership and the future things to come. And of course, they said incredibly, right here, and this is the main takeaway from this tweet, which is why this is making it into this video. This is that apparently they've deployed two Optimus bots performing tasks in the factory autonomously. So if you're not aware with as to what I'm talking about here, the Tesla team, the Tesla company, have made their robot Optimus, which is apparently now effective enough to be autonomously performing tasks in the factory. And like they said, it's only June. So this is very, very surprising because humanoid robots have been long thought of as a real, real problem that is not going to be solved anytime soon. But currently what we are seeing here is that these robots are being deployed and doing things in the factory. Now, it was previously thought that what we saw here was only just some beta testing or some alpha testing of how things were going to be. But I think this should all show you the future of robotics is really going to be here. If this demo of the 100% one time speed Tesla bot being autonomously completing tasks in this factory doesn't show you how the entirety of society is going to change in the next couple of years when these robots get completely better and a lot more effective, I think you are vastly underestimating how much the future is truly going to change. We have a situation on our hands. They are currently deploying these autonomously around the factory. What do you think happens when these Tesla bots get an upgrade? They get embodied AGI systems, or like a baby AGI system, combined with Tesla's years of robotics and AI engineering to build Something that is truly remarkable and effective. I wouldn't be surprised if within the next three to four years we have autonomous fleets of Tesla bots doing huge numbers of tasks autonomously, which vastly increases the their output efficiency. And I think that Tesla has the infrastructure and has all of the necessary tools to be the leader in this space. And with Elon Musk behind it, that is someone I'm not going to bet against. So with embodied AGI on the horizon, this announcement from Tesla stating that they have two working autonomously just shows us how close we are to that future of where we're going to be going. Now. There was also an interesting piece of news that regarding Elon Musk and Apple. So Apple's State of the Union released a short video in which they detail exactly how their on device LLMs work. So essentially yesterday Elon Musk went on a very, very interesting tweet storm about how Apple intelligence works. If you weren't familiar, you didn't watch the video from yesterday. A quick rundown. Apple's intelligence is basically a kind of AI system that Apple have natively built into iOS 18 and there are going to be AI systems running on device on your new iPhones iOS systems now. However, there was a caveat to this because there's currently an issue that many people were kind of thinking about and it's this meme right here. Elon Musk tweeted, Apple is, you know, handing off your data basically to open AI. And this is a remarkable meme because it's pretty funny. However it's not true whatsoever. So Elon Musk actually saw this and basically said that right here, that of course, you know, it's patently absurd that Apple isn't smart enough to make their own AI, yet it's somehow capable of ensuring that OpenAI will protect your security and privacy. Apple has no clue what's actually going on and they'll hand your data over to OpenAI. They're selling you down the river. And of course he also stated that If Apple integrates OpenAI at the operating system level, then Apple devices will be banned by companies and this is an unacceptable security violation. Now whilst initially reading this tweet you might be thinking, okay, so Apple have done something that's pretty crazy because most people, I'm not going to say most people didn't watch wwdc, but most people weren't truly hyped about it because there wasn't any game changing announcement that was too crazy. So essentially the reason that this is a story is because of Course, Elon Musk has says that Apple isn't smart enough to make their own AI. However, the recent video which I just showed you guys shows that this is not really the truth. So in Apple's State of the Union video they actually talk about the 3 billion parameter small language model that uses adapters trained for each specific feature. The diffusion model also does the same thing. Adapters for each style and anything running locally Or Apple's secure cloud is an Apple model and is not OpenAI. Now as someone like myself who's actually been paying attention to the fine tunings of what's going on, it can be quite easy for people who just watch the demo to easily miss what's going on. But Apple have been diligently, actually very, very diligently working on their own AI systems in order to ensure the privacy of users. That's why this video right here is of no surprise to me. If you've ever been paying attention to the research papers, which of course most people aren't, you've seen that Apple have developed a multitude of small language models that are on device capable and of course really comparable with the other top small language models like you know, Google's Gemma and potentially even some in the Phi series. So basically this entire video summarizes the fact that what we have is Apple's secure language models running, but it's not actually handing off the data to OpenAI. So this is something that I just did want people to understand because there, there is that misunderstanding there that could have easily happened, but it's something that just isn't true. So you don't need to worry about your data being handed off to OpenAI. I mean many people who are going to be using this Anyways do use OpenAI but it's just something to just add to the information. Now Google actually did something rather fascinating too. They released this paper which is called Towards a Personal Health Language Model. So a personal health LLM. And basically this is something that they've done with a app and it's basically something that is able to do really, really well in the personal health domain. So you can see right here, this is kind of your demo on how everything is working together. So you can see it's able to offer coaching, recommendations. You are a sleep medicine expert, you are given the following sleep data. The user is a male, 50 years of age. List the most important insights you can see right here. It's got the insights, the domain knowledge, the sensor grounding and of course the recommendation. So this is going to be the structure of how they structure these answers, you can see they are having trouble falling asleep. Otherwise, good sleep efficiency of 86%, above the recommended range of 80 to 85%. Adequate deep sleep, consistent sleep schedule, no naps, make sure your bedroom is cool and dark, continue to avoid naps and keep a sleep schedule. The other things right here you can see that what types of muscular contraction occurs in the pectoralis major during the slow controlled downward phase of a bench press. Then you can see it's the eccentric. And basically I'm not going to read every single interaction that we have here, but the point is, is that we have a system of a personal health LLM that is probably going to be the future of how these on device systems actually work with us and our health knowledge. And I think that this is going to underscore the future of how we're going to be dealing with these models because healthcare is an area where we really haven't seen that much innovation just yet. In terms of diagnoses from LLMs, we've seen a lot of papers from Google that have shown us that they've been able. I can guarantee you if we actually look at exactly what is going on with healthcare, all you're really doing is just taking an analysis of certain symptoms and then kind of cross checking that with a database of possible things. And then of course you could use a vision system and you're basically trying to be as accurate as possible combined with the patient's information in order to diagnose what they have with remarkable accuracy. That sounds like something that could be relatively easy for an LLM or an AI system as long as it has multiple different inputs. Of course this doesn't negate the fact that doctors are going to need to be there for certain physical examinations, but it's going to provide a remarkable level of affordable healthcare, especially if these models are open sourced or if someone creates an app that everyone can easily access and use. And it's essentially just a base level of healthcare that you can really use if you want more information about whatever current condition you might be confused about. So that's one of the areas of AI that I'm genuinely most excited for. Now, something that I really wanted to talk about and something that is just not getting enough attention. This is cling AI. So cling AI has been the, you know, thing that has been absolutely crazy in the past few days. For those of you that have been paying attention to, to the video in I guess you could say the text to video AI space essentially with Cling AI. What we are seeing here is a revolution in text to video. So this, ladies and gentlemen, is not actually the film created by OpenAI's recent, you know, film studio that they did a small collaboration with, but this is actually the work of an individual, talented traitor who decided to use China's newest text to video model in order to create something remarkably similar to what OpenAI has released. So what you're currently looking at is A Day with the Balloon Man. Now, if you're wondering why on earth are you showing me this video of a man with a balloon and talking about OpenAI? Well, basically, OpenAI did a recent thing where they showcased the capabilities of their text to to video model by showcasing a man who had a head as a balloon. And this was something that, as you can see, is being done by the newest text to video model. Now you can see here that this was what OpenAI's Sora was able to do. Of course, this does have remarkably, a little bit better quality and it does look to have a lot more character consistency. But I do want to state that OpenAI's Sora's version, the version that you're seeing on screen right now, isn't actually just raw output from the SORA model. What you're actually seeing is essentially the talented team, the shy kids who created this masterpiece. Essentially you're seeing the derivatives of those generated outputs combined together to create this wonderful storytelling and this piece of cinematic history. And I think what we have here is, is something that shows us that these tools, whilst, yes, because they are generative, they can make a whole lot of mistakes. They actually allow us to express our creativity in ways that we truly couldn't before. So what you're seeing here is there's a lot of rotoscoping, there's a lot of changes going on in the background. And this was something that they had to change a few times. So when you're making the comparison between this we're seeing on screen right now and the other one, which is Cling AI, it's important to note those caveats because I think if shy kids actually had access to Cling AI, they'd be able to create something fundamentally on a very similar level. Now there was also this demo from Cling AI, which is really cool because it's so crazy that you can see that there's literally text to videos of like. I don't even know if this is Call of Duty or what kind of video game this is, but I think what this shows us, first of all, is is that in the future what actually might happen and what actually might occur somehow is essentially a situation on our hands where we truly have generative media that doesn't exist before. I'm not entirely sure how this is going to work, but I can see maybe four or five generations from now, people and including myself, being able to create, you know, full length videos where you can have entire novel scenes that is just incredibly fun to look at. Now there's also this thread where someone actually compiled all of these videos that you can see are truly, truly fascinating. You can literally see that there are these, you know, hamsters, or I'm not even sure what they're called. They're probably hamsters or rats just eating popcorn. They're watching a rabbit walk towards this area right here. It's truly, truly, you know, impressive that, you know, the rabbit was able to throw a few punches. Kind of content that we would never ever see. You know, people like the RSPSEA would definitely be mad about that. And of course, you know, rabbits fighting tigers, that's just gonna end horribly. But yeah, what we can see here is a lot of content that, you know, we previously wouldn't be able to get. So there's this thing called threads of humanity. There's just, you know, there's a whole load of content that is now coming out because with text to video, it's making the average person be able to, you know, create content that they otherwise wouldn't. And when you combine that with the creativity of certain individuals, you do get a lot of interesting things. And right here, this video, we can see the water, the ripples rippling really nicely. So I think this shows you that Cling AI is kind of this next level. And I think what we're going to see is we're going to see a lot more things happen in the future, especially with the future models. Now one question I do have, because this is something that is maybe changing the tides a bit, is that this was released by China. So I'm wondering since this has shown that, you know, OpenAI doesn't have the lead anymore in the sense that across all bounds they're not really, you know, like they don't have the frontier space. And I think in the future now that everyone else is also in this space because OpenAI basically had a year and six months and in order to kind of set the pace for what was the state of the art. And the thing is, with things like Sora, you know, a lot of people, they got caught off guard by it. But the fact that, you know, China's managed to catch up with their own models and the fact that a lot of them are catching up to GPT4, I think the next cycle is going to be even crazier in terms of what AI systems we can get, because now we're truly going to see a level of innovation that we haven't before. Because there's not going to be that crazy, crazy standard unless OpenAI does something crazy again. And with cling AI, this was one of my favorite examples. This was animals being musicians. I don't know, I thought this was really cool because this is just something really weird that, you know, the millions and, you know, you know, thousands of hours it takes to render this kind of stuff in a 3D world. It's just something that people wouldn't really do. So it's something that I think, you know, is kind of interesting now. What's also kind of interesting was that I think Sora is probably not going to be a tool that, you know, many people, including myself, do have access to. So it seems here that it says. Brian Lord, the CEO of Creative Artists, said yesterday that OpenAI took the sky voice down when he asked them because they are mid deal with multiple studios over SORA use and that those deals will be announced imminently. He adds that OpenAI executives were in the middle of multiple deals with studios in Hollywood that are starting to be rolled out and they didn't want bad press. So essentially it's kind of fascinating because maybe we could see a scenario where these AI companies kind of transition from B2C, which is business, to consumer, to B2B, which is business to business. So I think that, you know, and it's something that I've spoken about on my private Patreon where I spoke about, you know, future AI systems are very, very likely to be B2B, which means that OpenAI are going to be giving deals to these billion dollar companies because they're the ones that can afford it. There's the ones that, you know, they can have regulations they don't really have to worry about like Apple on the back end using it to create some nefarious technology. And they also don't have to worry about the public backlash when they release the technology. One of the things that I think you know is going to lead to this is the fact that if OpenAI released Sora, a lot of people are mad at them because they're like, yo, you're taking away people's careers, you're taking away their livelihoods, you're Making generative art, you're just taking away all the fun stuff. But if they license this to Hollywood companies, I guess on the back end, it's something that benefits OpenAI. They don't get the bad press and it's something that kind of works for them.

I've been playing around with Sora. This latest thing that OpenAI launched that like, generates video and I have a beta version of it. And it's pretty amazing. Like, it's pretty good. And you can create good 10, 15 seconds videos that are like, look very real. It still makes mistakes. It still doesn't quite understand physics. It still, like, has some bobbling. But if you look at the generation of this that existed one year ago, as compared to Sora, it's leaps and bounds. In fact, there's footage in it that I would say you could easily use in a major motion picture or a television show. Like, why would you go out and shoot an establishing shot of a house in a television show when you could just create the establishing shot for a hundred dollars? Like, to go out and shoot it would cost you thousands of dollars. Action scenes of, like, me jumping off of this building. You don't have to have a stunt person go do it. You don't have to. You can just go do it. I shot, I came up with a prompt of an ultra marathoner running across the desert being chased by a sandstorm. I didn't have to hire a CGI department to do it. I didn't have to hire. I, in five minutes, rendered a video of an ultra marathoner running across the desert in being chased by a sandstorm. And it looks exactly like that. So fast forward and let's go 30 times more performant. You'll be able to render a whole movie. You'll just come up with an idea for a movie. Then it will write the script, then you'll input the script into the video generator and it will generate the movie. So instead of watching some movie that somebody else came up with and just generate a movie and then watch my own movie. And what's going to happen is there's going to be more content than there are eyeballs on the planet to consume it. So any one piece of content is only going to be as valuable as you can get people to consume it. And so thus the sort of catalyzing water cooler version of something being good is going to have. The bar is going to have to go way up. Because why are you going to watch my movie when you could just watch your own movie?

So those are some of the interesting dynamics that are going to be changing in the media industry. And I think this shows us that I think, you know, authenticity and realness in content is something that has been a prevailing trend among social media platforms. You know, when people are, you know, frequently real on camera and authentic, this is something that I've seen people, you know, truly enjoy. Like even sometimes in the videos that I tend to create, sometimes I purposefully leave mistakes in. So, you know, that it's literally just one guy and a microphone actually recording these videos, not some giant studio behind it. Because I think that that is just a level of, you know, authenticity that you can't fake. And I think people really resonate with that content more often. You know, like when someone has a, you know, video camera on their phone and they're recording the kind of footage that is going to be kind of the content that I think prevails in this industry. Because whilst yes, you can, you know, generate an entire movie, I think real person and real people, like I've said before, and humanness is going to be the prevailing thing in the future. That in the age of AI, abundance is going to be something that people really want. Like, we could read any short story about anything, but if I could read a story about a real human that went through a real experience, that's going to be something that I want to read. We could make a picture right now of anything with generative AI, but if someone took a picture of something really cool happening down the street, I'd actually want to see that because it happened in real life. And it's not generative, it's not fake, it's grounded in, in reality. And of course I could go watch a movie that is completely AI generated, sure, for entertainment. But if there's a story like, you know, Mr. Beast series or a human actually doing something that's completely real, I think those things are going to be far more entertaining than, you know, just having this entirely AI generated thing. Now, I think movies are a different genre because you're literally going there for something fake. And of course that's the entire premise of movies. But I think it's going to be an interesting dynamic and if we ever do get to that stage, but there's a lot more that I can talk about on the back end on how, you know, this is going to require millions and millions of compute. And I think just, you know, that the movie studios are probably going to be pumping out a lot of movies a lot quicker because they've been using AI. But of course you could even talk about, you know, some people even going to watch movies that have been, you know, using generative AI because, you know, no people were actually, you know, behind the scenes. So you've got all of these kind of different things going on in this entire industry. But I think overall, what we're starting to see is potentially, you know, on the latter, a shift to where we might not even get some of these kind of products. So let me know what you guys think about that.