Chad GPT 5.6 just got announced and it is legitimately the worst news of the entire year. Let me explain. And no, it’s not because it was named after three failed cryptocurrencies. No, that’s not it at all. Few things to note here is one, it is better than Mythos. So looking at the benchmarks, it beats Mythos on Terminal Bench. On top of that, it’s also onethird of the price of Mythos. So it’s better than the best AI model you’ve ever used in your life. It is a third of the price. But here’s where it absolutely blows. It’s not available to you. You can’t use it. It is only available to 20 companies in the world that OpenAI and the US government has hand selected to win. That’s right. Much like Fable 5, you cannot use the best technology out there anymore. The people that determine who can use the most powerful technology ever created are the CEOs and the government. That’s it. There’s a small group of winners and you ain’t one of them. So, yes, there will be three versions of chat GBT 5.6 Soul, which is the big mama jama, the fable five version. Terra, which is like their downthe middle 55 thinking version, which apparently beats 55 for a fraction of the price. And there’s Luna, which is their smaller model, which comparably is their smaller model, but it’s not nearly as small as like their micro or mini model. So, I guess the micro models are getting bigger now. Those are the three versions. They’re all great and we won’t be using it anytime soon. In a second, I’m going to tell you what you need to do about this, what your next steps are to take advantage of this moment. But let’s talk about why this is absolutely horrible news for America and absolutely horrible news for the world. America for the first time is decelerating their innovation, decelerating their technology. Unlike many countries out there, there weren’t many rules or regulations. You can build new technology, put it out there, make money off it, and innovate quickly. This allowed us to be the number one country in the world when it came to AI models. We had the best AI models on planet Earth. Now, for the first time, we’re being decelerated. You have to review the models with the government. And if the government decides it’s not safe in your hands, you don’t get to use it. Now, this isn’t a political channel. I’m not getting into politics, but I think taking politics out of it, you can objectively say this is not good. When governments and executives can decide who winners are, who can use the great technology, who can use the crap technology, that is not good for anyone. Winners shouldn’t be handpicked. It should be a meritocracy. Everyone should have equal access in opportunity, and the ones that use it the best are the winners, and they earn their right to win. That’s no longer the case. I have been talking about the permanent underclass for a long time now. This has pissed off many many people. But this is what the permanent underclass is. When certain people get access to certain resources and this is the most valuable resource ever created, frontier intelligence cuz when you use this you can build and do anything you want. Those people end up being winners and everyone else ends up being losers. If you are building a business and only you have access to the best intelligence and everyone else has no access, you’re going to dominate them. They will have zero shot. It’s like getting into a boxing ring where one boxer has bricks tied on their hands and the other has the hands tied behind their back. The one with the bricks is going to dominate. Up until this point, this was all democratized. Anyone can use this amazing technology. Now it’s not democratized. Now it’s handpicked winners. So, it’s not about who’s the best, who’s working the hardest, who has the most skills. No, it’s not about who’s contributing the most to society. It’s about who’s the best friends with the executives in the government. That absolutely sucks. I was hoping with Fable 5 being taken away, maybe Chad GBT can somehow snake their way to being the good guys and be able to release our Miles. And listen, I get it. This isn’t up to them. This isn’t up to Open AI. It wasn’t their choice to hold this back. After seeing what happened with Anthropic, I’m sure they was like, “No, we don’t we don’t want any part of that. We don’t want to do that. We’ll just hold it back and be safe.” But this absolutely sucks. We are all losers. Open AAI did say this will be available broadly in the coming week. So, I am hoping by the end of July, we’re able to get access to this. And if you look at the Poly Market, it’s looking like by July 17th, we will get Fable 5 back. That is very good news. Apparently, people with a lot of money I’ll get this crap off my screen. people with a lot of money are betting on by end of July getting people back. So, it looks like July is the month we get our hands on the Frontier technology. The challenge is there’s going to be a lot of people, a lot of businesses who are hand selected who will be using this until then and will have a distinct advantage on us. What does that mean for you? What should you be doing? Well, let’s go to this slide over here and I’m going to go into more detail. So, stick around for us. By the way, if you learn anything so far, leave a like down below, subscribe, turn notifications. All I do is create amazing content about AI and keep you up to date with what’s going on. Uh, number one, I still think 55 is the best right now. I think 55 is the best model. I believe that because I think Codeex is the best agent harness. I actually think Opus might be a better model, but Codeex is so good at controlling your computer, doing computer use, browser use, all that. I believe it makes 55 better. So 55 is the model I’d be using right now. Here’s where things switch up a little bit. I’d research local AI. What do I mean by that? I just went out to MicroEnter. Hey, MicroEnter, sponsor me. I went there. I built this computer. You see here it’s sitting down there. I’m going be playing Cyberpunk on it tonight. It is an RTX5090 build. It’s got 64 gigs of RAM. It would have cost me like $2,000 more dollars to make it 128 gigs of RAM. Anyway, I built this computer. I am building a home lab. If you’ve watch this channel, if you follow my Twitter, you know I’ve already been building a home lab. I have three Mac Studio 512 GB, two Mac minis, and a DGX Spark. Now, I have this RTX5090. I am building my own home lab so I can run the most powerful models on planet earth. I want to invest in local models. I want to invest in a home AI lab where governments and executives cannot take away my AI. Where I can build my own sovereign intelligence, build my own systems and no one can control it. No one can gateep it. Nothing like that. I believe everyone should be investigating local AI right now. Do I believe you should go out and spend $10,000 on a computer right this moment? No, I do not believe that. I think that is a mistake. I think what you need to do first is research it. Figure out what’s suitable for you, what models are suitable for you, what hardware is suitable for you. Most importantly, what you would do with that AI, which use cases you would do. I’m going to go into all that in a second of how to figure that out. Before you spend the tens of thousands of dollars, first figure out what you’re going to do with it. So when you set it up, you can just start getting cooking. I’m going to show you what I’m doing in a second. Actually, let’s just get straight into it. This is my local AI home lab platform I am building at the moment. This allows me to monitor all my devices. It also allows me to see which models I have up and running. And these models are going 24/7, 365. They’re doing security scans. They’re checking code. They are writing code at all times. They are constantly doing things around the clock for me, pushing my business forward, pushing Henry intelligent machines forward. And I am building on top of this home lab so I can do more and more things. I plan on training models, training lores, many different cool things like that. You want more information on that, let me know down below. Would you want me to like walk through how I’m building this home AI lab, the hardware I’m using, what I’m doing with it? Let me know down below in the comments. So, if you’re curious what you should be doing when it comes to local AI models, should I be doing Mac Studios, Mac Mini? Should I be buying a DJX Spark? I will spend a couple minutes here. So, lock in for this. You basically have three options. You have high-end Macs. You have AI computers like DGX Sparks and the new AMD computer coming out, as well as powerhouse chips like the 5090 I just built, like the 6000 Pro. I’ll just be adding on to it soon enough. What’s the difference in each? Which one should you go for? Well, couple things here. The advantage to Max are high unified memory. That means you get ton of memory to load models into. So, you can run the biggest models. I’m running GLM52 on one of my Mac Studios right now. It’s 250 gigs in my memory and I can only do that on my Mac because Nvidia chips don’t have that much VRAM. So, Mac Studios great for massive big models. It’s just low memory bandwidth which means it’s very slow. AI computers like DGX Sparks, which are very popular right now cuz they’re plug-andplay. You go to the store, you buy, you plug it in, you’re good to go. Those have medium unified memory, 128 gig, so you can load mediumsized models, like really good Quen 36 models, and they also have medium bandwidth, so they’re much faster than the Mac Studio. Not lightning fast, but faster. Then you have the Powerhouse chips, the 5090s, the 6000 Pros. These are lower VRAM. The 5090 can only store 32 gigs, so kind of the smaller Quen models. The 6000 is much bigger. It’s like a $12,000 chip. But their advantage is they have very high bandwidth. So you can run models lightning fast on them. I bought a computer in each class so I can take advantage of all the strengths and weaknesses. So it’s up to you. If you’re getting into local models, think about which one you want. Think about what suits your use cases. If you’re not sure what suits your use cases, go to chatjbt.com, go to claude.com. Go back and forth with your agent. Go to your Hermes agent. Say, “Hey, based on what you know about me, what would you do? What use cases can we do? What hardware should we get? What should we do with these local models? Which one should we load? Your agent should be able to help you out cuz it has a ton of context around you. So, make sure to be reverse prompting as much as you can before you go out and spend tens of thousands of dollars on computers. This is the news of the moment. It quite honestly pisses me off, but I think brighter days ahead. I hate that this is the new normal. I hate that this is the world we live in at the moment where you no longer have access to frontier intelligence. You need to get permission first. I’m sure this will only continue and as hardware prices get more and more expensive, it’s going to be harder to become sovereign and run things on your own. So, all options are starting to become more constricted unfortunately. This is what’s going on. More videos coming in the next couple days on Hermes use cases, claude code best practices, things like that. So, make sure to lock it in, leave a like, subscribe, turn notifications, hit all the buttons you see on your screen. So grateful you’d watch. Hope this was helpful. See you in the next video.