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Welcome to the podcast. I'm your host, Jayden Schafer. Today on the podcast, guys, we have so much lined up. We have SoftBank that is lining up a $40 billion OpenAI investment. I'm going to talk a little bit about where I think the money is going. We have humanoid robots that were at the White House recently, and this made a lot of headlines. We have an update on OpenAI. They're pivoting away from Sora. They're shutting it down, but apparently their pivot is going into robotics. They're not just shutting down, so Sora, they're actually putting it somewhere else. And we also have Apple that is making a huge move with Siri and iOS27 that affects basically every iPhone user ever that I'm actually kind of excited about and maybe turns Apple into a winner in an area where I thought they were only a loser in AI. The biggest story is that there is a data leak at Anthropic, and it revealed a secret model called Claude Mythos. Anthropic's own internal documents describe it as a quote, unquote, step change in capabilities. And they're saying that it poses an unprecedented cybersecurity risk. This is coming even from the safety company. So we're going to unpack all of that on the podcast today. But first, really quick, if you're someone that is trying to keep up with all of these different AI models, Claude, GPT, Gemini, Grok, all of them, and you don't want to be paying 20amonth for every single subscription, go check out my startup AI box. AI, we give you access to over 70 of the top AI models in one place. And you can chat with any of them. You can compare the outputs. And I think the part that is the most useful is that you can actually build tools and automations with them. So basically, you describe the tool you want and. And we'll chain together and we'll add prompts and build the whole thing for you with no coding. I am not a developer, so I made this mostly for myself and now for everyone. So if you want to set up a content pipeline or a research workflow or basically anything where you're doing the same thing over and over again, you can automate that on AI box. It's 8.99amonth and it's linked in the description. So go check it out. And, yeah, let's get into the first story. The first thing I want to talk about is AI robots at the White House. This is kind of honestly just sort of like A funny story. A lot of people talked about it. I think there was like a headline on TechCrunch which said, Melania Trump wants AI robots to homeschool your kids. Anyways, people are kind of just being funny with it, but basically what happened was Melania Trump brought in the figure three humanoid robot and it was basically walking around on two feet, it was greeting guests, it was speaking in 11 different languages. Now, I think on the surface you can really look at this like a PR moment for figure 3 and actually probably even the White House, right? To say, like, look, we're like super high tech. But I think the reason why it matters is it's a signal of how fast physical AI is moving. If you look at a year ago we were seeing these robots in these kind of controlled lab demos and now we have one walking through the White House. I think this is a really big jump in a very short amount of time. And I think it connects a really big trend we see everywhere, which is just this week, Agile Robots announced a partnership with Google DeepMind. They're going to integrate Gemini models into physical robots for manufacturing. They're also doing automotive and logistics. So you're seeing, you know, Google, OpenAI and a bunch of other companies all converging on this idea that physical AI, which is, you know, robots that can actually do things in the real world, this is the next frontier. And I think we're going to be talking about this a lot more in the coming months and I would say by the end of the year we're going to see some pretty, pretty sizable rollouts of companies rolling these out in a big way. The second thing I want to talk about is SoftBank's $40 billion OpenAI investment. So they're putting together this big round for OpenAI. I think this is obviously a massive number number, but that's almost secondary to what it represents when industry is really headed in an interesting direction. I think for me what it's showing is there is a barrier to entry for building these kind of top line AI models. And it is. This barrier to entry is very high. We have a lot of amazing companies, I mean, myself included, taking these tools and building cool things with them. But if you want to be a frontier model company, the stakes and the barrier to entry is insane. And it kind of honestly makes me feel bad for some of these companies like Mistral AI, which are just smaller in regional areas like France. And yes, they're raising billions of dollars, but like, are they able to raise $40 billion? Are they able to have the entire arsenal of Google behind them. Like, it's pretty hard to compete in these ways. I think it's not just about having, right, the most talented research team anymore. You have to have billions of dollars in compute, in infrastructure, and you need to have the ability to scale your distribution globally. At the same think a lot of these companies are really pulling further and further ahead, like OpenAI, like the top hyperscalers, they're getting way further than anyone else just because they had the lead at the beginning. So SoftBank has basically made OpenAI a core pillar of their entire AI investment thesis. And when you look at the landscape, OpenAI, Anthropic, Google, the gap between all of these front labs and everyone else is getting huge. So I think for the average person using these tools, it's actually a good thing. But more investment means that more compute is going to make the models better. But from a competition standpoint, I think it raises a lot of questions about how concentrated this industry is going to get. Right. It's becoming a very expensive game to play. And I mean, even if you think like $40 billion, let's say there was, you know, eight different AI companies and SoftBank gave each of them, or 10 different AI companies and SoftBank gave which of them $4 billion, you could build some cool stuff, right? But like, would that be able to compete with anthropic opening? I Google, and that's kind of the question. So it's really, really wild, just the numbers that go into all of this. And unfortunately, I think it really makes it so there's not a lot of competition in the market. All right, the third thing I want to Talk about is OpenAI's robotics pivot. So we already talked about robots walking around the White House recently. I gave an episode about OpenAI shutting down Sora, their video model. This is a bit of an update. The new detail is that the computer that they're basically turning off for Sora, so it was kind of very computationally intensive to run that video model. So they're shutting that down and they're actually going to be giving that directly to robotics research. You can see this figure. Robot, obviously, is a big deal. A lot of optimist robots coming out of Tesla and everything there. This is a big deal. And so OpenAI, I think, is really focusing on maybe if they don't own the robotics company. Right. Like, Elon owns Tesla with the optimus robots and he owns Groq. So obviously he's going to put Grok into those. If they can't have that kind of distribution where they own the robot company. Maybe they need to start thinking about, well, you know, if they don't currently own one, maybe they need to start thinking about how they can own ones. They're not just you know, making these kind of partnerships or they're working with figure other people to, to get in, but their AI could be swapped out. So I think they're putting a lot of these resources into a, much into a really interesting kind of field. I think they looked at AI video generation, they looked at robotics and basically as a business decision they had to pick one and they picked robotics. So I think right now it's definitely worth paying attention to because it represents a really big shift in where the, the smartest people in AI think the value is going to be created over the next few years. It's probably not going to be created in these short form little AI slop videos. That sounds so terrible because I actually think you can make some great videos and as the models get better they'll be super useful for, for video production and a bunch of other things. But sort of what Sora was, was getting used for and evidently they, they want to shift their image to something which is robots, which is going to give them a lot more roi. Okay, the next thing I want to talk about this is Apple's big play. I'm super stoked. Apple is planning to open up Siri to third party AI services through the App Store in iOS 27. So up until now ChatGPT has had an exclusive integration with Apple Intelligence that is going away. Basically what this means is that you could have Claude or Gemini or Grok or really any other AI model running your Siri for you as long as the developer builds integration. So you'd essentially be choosing your AI assistant the same way you choose your default browser on iPhones. I think this is super cool. It's interesting. You know, Apple never went down the route of building their own AI model. I think they just decided maybe it was too hard, they didn't have the talent, they didn't want to, you know, designate the money there. And instead they're just relying on other people and they're just kind of building themselves as a shell around some of these other AI companies. A couple different reasons why I think this is happening. One, Siri has been losing ground compared to what you know, Claude and chatgpt can do. And I think they know that. And number two, I think that by opening it up they are essentially reducing their dependence on a single partner. Right. They don't have to bet everything on OpenAI. They let the market compete and Apple just provides the platform. And I also think that right now everyone's basically a lot of people are paying for their own AI subscription. I would be. I think it'd be a smart move if, you know, instead of having to pay for a huge licensing deal with ChatGPT, whether that goes one way or another, to basically say, look, we'll let people pick their own platform. If you have a premium, you know, a Pro subscription to OpenAI, maybe you grab your own API key or there's an integration with ChatGPT, so premium subscribers are going to get premium Siri anyways. It's an interesting thought, I think for anyone with an iPhone, which is right now over a billion people. This is one of those changes that you'll actually feel the AI assistant on your phone. I think it's going to get a lot more capable. Siri's obviously been terrible for forever. I'm really excited. If this solves Apple's kind of AI problem and they can actually start making Siri useful again, I'd be thrilled. And I think this is a good move from Apple. All right. The last story that I want to do a deep dive on that is absolutely wild is coming out of Anthropic because they have leaked something called Claude Mythos. So it's basically, this is what happened. There was a configuration error on Therapic's content management system, basically their blog backend, and that made a bunch of unpublished draft posts publicly accessible. So, you know, when a company's getting ready to have a big announcement, they want the blog post published ahead of time and it kind of set up and ready to go, ready to post whenever they want it. And they had about 3,000 assets that were never meant to be live. All of those were buried in the documents. And there was one of them that was a draft blog post about a model called Claude Mythos. So Anthropic has since confirmed that the model is real. A spokesperson said that it represents, quote, a step change in AI performance and it is, quote, the most capable model we've built to date. So this isn't speculation. Anthropic has actually acknowledged that this exists. I think what makes this really interesting is that this was in those documents. The leak references a new model tier called Capybara. So basically for context, right now Anthropic has Haiku Sonnet Opus. And those are kind of like their three from lowest to highest. Opus is their best model. Sonnet is kind of their Medium and Haiku is their, their light model. Capybara is above Opus. So it's kind of like the, the ultimate model. It's even better than better than Opus. And it's basically an entirely new tier. It's larger, it's more capable and then anything that they publicly released. And Capybara and Mythos appear to be basically the same underlying model. So the benchmarks described in the document are huge compared to Cloud Opus4.6, which is already, you know, one of the strongest models available. It's basically my daily driver, personally. Mythos is apparently scoring even higher on software coding, academic reasoning and cybersecurity tasks. The thing that I think is really important is that Anthropic's own draft blog post, their, you know, this is their own internal writing, said that the model poses, quote, unprecedented cybersecurity risks. And I think you have to sit with that for a second, right? This is Anthropic. This is the company that has built their entire identity around AI safety. They have, you know, constitutionally, I. They have, you know, responsible scaling policies. They've positioned themselves as like, they go to war with the entire government basically to, to make their model safe and not used for like, you know, quote unquote unsafe tasks or autonomous AI, all this kind of stuff. Right? And their own documents are flagging this model as a cybersecurity concern. So I think that is pretty wild. Something, you know, basically how the markets are responding to this. Bitcoin dropped software, stocks dipped. I think this is, you know, pretty straightforward when you have a model that's dramatically better at cybersecurity. The, the capability cuts both ways. It could be used to find and also patch vulnerabilities so hackers can use it. And of course we can use it to, to counteract hackers, but it's definitely can be exploited. So I think when the company built it, it is already waving a flag about risks and they're like, look, we're made this amazing thing, but there's a whole bunch of really big risks with it. And I think people are starting to take that seriously. I think, you know, basically what we know and what we don't know is kind of important in this. This was a leak, this wasn't a product launch. So Anthropic has confirmed that they're testing Mythos with early access customers, but we haven't gotten any official releases, the full benchmarks, or the kind of the complete safety valuations. So I think there's still a lot we're waiting on on. But I think that the bigger takeaway here is, you know, what this signals for AI right now. I mean, they said this is a quote unquote step change, not just like an incremental improvement. They're describing a, you know, a really qualitative leap. And I think if that is accurate, if the next generation of models really is that much more capable, then I think we do need to have a serious conversation about what it means for deployment. And like, I don't know where, where this all goes now. I for one am actually not a AI doomer in the least. I'm actually really excited for this model to come out. I would love to, to use it to help build my, my tools and software. So I'm overall very excited. But it is pretty wild that this model is ex that it exists. A lot of people said that, you know, AI models had kind of hit a plateau and we're just making new tools for them and they, it's hard for them to get any smarter. But it seems like we have figured out ways to make them smarter. And yeah, I for one, I'm, I'm pretty excited about that. Okay guys, that is everything that we have for AI chat today. If this was helpful, please leave a review on the podcast over on Apple, you can drop a comment on Spotify, you can hit the about section and leave some stars. It really helps the show out a ton. And also go check out AI box AI if you want to access over 70 AI models and the ability to build automations and tools without any coding, the link is in the description. Thank you so much for tuning in and I will catch you in the next episode.