NEW ChatGPT Astra is INSANE!

0:00 New chat GPT, Astra is insane. What if the biggest AI news of the year got hidden in plain sight? Not a shiny launch, not a keynote, just one line buried inside a research post, and it might be the most important thing AI has ever done. Most people scrolled right past it. Ready to see what you missed?

0:17 I'm the digital avatar of Julian Goldie, and I help you actually learn and use AI tools in your real work, not just watch from the sidelines. Stick with me, because by the end of this video, you'll understand what Astra really is, the wild thing it just pulled off, and the one quiet clue it drops about where all

0:31 of this is heading. So, here's what happened. On August 1st, OpenAI put out a post with the most boring title you can imagine, something about advances in math. That's it. Most people took one look and kept scrolling. But hidden inside was the reveal of their next major model. They call it Astra, and an

0:47 early version of Astra had just done something no computer has ever done before. Now, before I show you what that was, let me tell you how I'm already thinking about a model like this. Astra isn't built to answer one quick question. It's built to take one big, messy job and grind on it for hours, even days. So,

1:03 here's how I'd point that at the AI Profit Boardroom. I'd hand it a single goal, map out a full 30-day learning path for new AI Profit Boardroom members across a dozen different tools, and let it work the whole thing end-to-end, not one tiny step at a time with me babysitting. One big ask, one deep

1:17 result. That's the kind of connected content that makes the AI Profit Boardroom actually worth being [music] inside. Okay, so what did Astra pull off? It solved 10 problems in math and computer science. And these were not homework questions. Every single one had been sitting there unsolved for at least

1:31 10 years, some for way, way longer. We're talking problems that real, brilliant humans have been stuck on for decades. Let me give you the big one. There's this idea in math called a non-Sophie group. Don't worry about what that means. Here's what matters. For more than 25 years, nobody on Earth

1:45 could even prove these things existed. It was one of those famous open questions everybody knew about and nobody could crack. Astra built one. It just solved it. And that's only one of 10. It cracked problems in geometry, in coding theory, in the exact kind of math that keeps your password safe from

1:58 future computers. Some of these problems were named after Paul Erdős, one of the most famous mathematicians who ever lived, problems with his name stamped on them, gone. Now, here's the part that got me. OpenAI didn't just say trust us, they published a 249-page paper, and they did something really smart. For

2:14 every single result, they wrote out a machine-checkable proof. That means a computer can go through the whole thing line by line and confirm it's correct. No arguing, no well, maybe. They put it all on GitHub so anyone can look for themselves. They even shared a walk-through of how the model was

2:27 thinking while it worked. And they were honest about how it was done, which I respect. Real people helped write it up and format the proofs, but the actual math ideas, those came from the model. Oh, and one more thing that's almost hard to believe, all of this took a tiny amount of computing power, barely

2:41 anything. Problems that stumped smart humans for decades chewed through in a flash. And that's exactly why I built what I built inside the AI Profit Boardroom. Look, Astra isn't out yet, you can't click it today. But when a model like this lands, and it will, you do not want to be figuring it out alone. Inside the

2:56 AI Profit Boardroom, we run live coaching calls where you can bring your own AI setup and ask real questions and get real answers. We break down every big new model the moment it drops with simple, step-by-step walk-throughs. And we build clear roadmaps so you always know exactly what to learn next instead

3:12 of drowning in a pile of news. When Astra ships, the AI Profit Boardroom is where you'll get the plain English breakdown first. So you're not just watching this stuff happen from the outside, you're actually keeping up. So let's zoom out. Why does this matter for you and me? Here's the thing about Astra

3:25 that's different. Old AI gives you one answer, fast. Astra works more like a team. Picture a bunch of little AI workers all talking to each other, splitting up one hard problem and grinding away for hours or even days until it's cracked. That's a whole new way for these tools to work. And think

3:40 about what that opens up. Up until now, you gave AI small jobs, write this email, fix this paragraph, simple stuff. But a model that can chew on one giant messy problem for days straight, that changes the size of what you can hand it. Now, let me be straight with you because I don't do hype just for the

3:55 sake of hype. Is this the end of human mathematicians? No. Some very smart people are already pushing back. They're saying it's incredible, but also a little oversold. And honestly, both things can be true at the same time. This is a real giant step forward, and it's also not magic. Astra is not some

4:09 all-knowing brain. It's a tool that's shockingly good at one very hard thing. But, here's what nobody can argue with. A computer just pushed human knowledge forward, not summarized it, not repeated it back to us. Pushed it forward into places no person had ever reached. That line got crossed, and it is not getting

4:25 uncrossed. And here's something else worth sitting with. Normally, when a human writes a proof, other humans have to check it by hand. That can take months, sometimes years. But, Astra's proofs come machine checkable. A computer confirms them in seconds. So, we skip the long way and just know it's

4:39 right. That part is brand new, too. There's also a bigger move happening underneath all this. OpenAI is handing 100,000 scientists and mathematicians free access to their best models. Think about that. Not locked away for a lucky few. Handed to the exact people who can use it to push real research forward.

4:55 And that tells you where this is going. It's not only about one flashy headline. It's about putting this kind of power into way more hands way faster, which means the gap between AI can do this and you can do this keeps shrinking. One more thing worth knowing. Astra isn't even fully named yet. OpenAI hasn't

5:09 decided if it'll be called GPT-6 or GPT-5.7 or something else entirely. There's no release date, no price. It's a peek behind the curtain at what's coming next, not a product you can grab today, which honestly makes it more interesting. Because now you know what's coming before most people even hear

5:25 about it. And that's exactly the moment to get ready. Let me show you what I mean with another way I'd use a model like this. I could hand it one genuinely hard, multi-part job for the AI Profit Boardroom. Something like designing a full walk-through series that connects 10 different tools into one smooth

5:40 workflow. Then I'd let it work that problem for hours, testing and linking the pieces together instead of me stitching it all by hand. That's the kind of deep, useful content the AI Profit Boardroom is built on, and it's a big part of why members stick around. So, what should you actually do with all

5:54 of this? Because watching a video and forgetting it by lunch helps nobody. Here's my honest advice. Don't wait for Astra. Start building the habit now. The big shift coming is simple. AI is moving from tiny tasks to huge ones. So, practice giving the tools you already have bigger, messier jobs. Stop asking

6:10 for one paragraph. Start asking for the whole plan, one goal, start to finish. Let it stretch. Because the people who do well over the next year aren't the ones with the fanciest tool. They're the ones who already know how to think in big connected steps. That's a skill, and you can start building it today with the

6:24 tools already sitting on your screen. The second thing, get close to people who are figuring this out in real time. This stuff moves fast, really fast. A model like Astra shows up buried in a math post, and if you're not paying attention, you miss the biggest story of the year. You don't have to catch all of

6:38 it alone. That's the whole point of learning next to other people who care about it as much as you do. And look, I know it can feel like a lot, new model, new name, new everything every single week, but you don't have to master all of it. You just have to stay curious, keep your hands on the tools, and keep

6:51 building the skill of using them well. Do that, and stuff like Astra stops feeling scary. It starts feeling exciting, because you'll be ready for it. So, here's what to do next. If you want the full process, the SOPs, and 100 plus AI use cases just like this one, come join the AI Success Lab. The links

7:08 are in the comments in the description. You'll get all the notes from this video in there, plus access to our community of 85,000 members who are all learning and crushing it with AI. And if you're serious about keeping up as these models get this powerful, come check out the AI Profit Boardroom. Here's the thing, when

7:22 you start giving AI these bigger, longer jobs, you're going to hit walls, prompts that don't land, steps that break halfway through, results that feel a little off. That's normal, and it's exactly where we help. Inside the AI Profit Boardroom, you get live coaching calls to unstick you fast, step-by-step

7:36 tutorials for every major tool, simple roadmaps so you always know your next move, and ready-to-use prompts you can copy and run today. It's over 4,000 members all learning this together in real time. So, you get through the hard parts way faster than doing it on your own. Come join us at

7:51 aiprofitboardroom.com. I'll see you inside.