This NEW Chinese AI is INSANE! (FREE + Open Source!)

This new Chinese AI is insane. Free plus open source. Right now, today, a Chinese company most people have never heard of just dropped one of the biggest open AI models ever released, and almost nobody is talking about it. The company is called Meituan.

You probably know them as a food delivery app in China. But yesterday they put out a model called Longcat 2.0, and it is wild. Here's the headline number. It has 1 million tokens of context.

That means it can read and remember something like an entire company's worth of documents at once. Not a few pages, not one file, an entire business. And here's the part that really got my attention. For two months, this model was running anonymously on a platform called Open Router under a secret code name.

People called it Owl Alpha. Nobody knew who made it. It just kept climbing to the top of the developer charts. Builders were using it every day, ranking it against the biggest names in AI, and they had no idea it was coming from a food delivery company.

Now we know the truth. Owl Alpha was Longcat 2.0 the whole time. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency, Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates.

Julian Goldie reads every comment, so make sure you comment below. So let's slow down and actually break this down, because once you understand what this model can do, you'll see why it matters for anyone trying to run or grow a business with AI. First, the size. Longcat 2.0 has 1.6 trillion parameters.

Think of parameters like tiny knobs inside the model's brain. The more knobs, the more it can understand and connect. 1.6 trillion is a massive number. It's almost three times bigger than the version Matuan put out less than a year ago.

But here's the smart part. It doesn't use all those knobs every single time. It only turns on the ones it needs for the task in front of it. Engineers call this a mixture of experts.

Picture a huge office building full of specialists. You don't call every single person into a meeting for one question. You just pull in the two or three experts who actually know the answer. That's what this model does.

It saves power and runs faster while still having access to a massive amount of knowledge. Now let's talk about that 1 million token context window, because this is the part that actually changes how people can use it. Most AI tools forget what you told them a few messages ago. It's like talking to someone with short-term memory loss.

You explain your business, then five minutes later you have to explain it all over again. Longcat 2.0 doesn't have that problem. You could feed it your entire knowledge base, every SOP, every email thread, every page of your website, and it can hold all of that in its head at the same time while it works. And it's not just smart, it's also fast and it's free to study.

Matuan released the whole thing as open source under something called the MIT license. That means anyone can use it, build on it, and even use it inside their own business with very few restrictions. There's also a bigger story happening underneath all of this. Matuan didn't train this model using the usual chips everyone talks about.

They built and trained Longcat 2.0 entirely on domestic Chinese chips, 50,000 of them, working together as one giant cluster. That's a big deal for the AI world overall. Now I want to pause here for a second because I want to show you exactly how this fits into something we focus on every single day. So if you want to actually learn how to use a model like Longcat 2.0 inside your own business, here's where to go.

Inside the AI Profit Boardroom, we build this stuff out for you step by step. We show you exactly how to connect a model like this one to your documents, your support system, your content, and your sales process. We run weekly coaching calls where members bring their real setups and we walk through them together. We've got members already experimenting with these huge context models to build support tools, content systems, and internal business assistants.

If you want a clear path to actually using AI like this to save time and grow what you're building, that's exactly what we focus on every single week inside the AI Profit Boardroom. Okay, let's get back into it because I want to show you exactly what this looks like in practice. Real workflows using our own community as the example. For each one, I'll show you what it's for, the actual prompt, and what comes out the other end.

First one, this workflow is for turning months of scattered coaching calls and tutorials into one clean roadmap new members can follow without getting lost or overwhelmed on day one. Here's the prompt you'd give it. Read every coaching call transcript and tutorial we published this month inside the AI Profit Boardroom. Pull out every repeated tip, every step-by-step process, and every tool mentioned more than once.

Organize all of it into one simple roadmap broken into weekly steps written in plain language a beginner could follow without getting confused. The result, a complete 30-day roadmap built from real coaching calls ready to hand straight to brand new members. Second one, this workflow is for keeping our content consistent while making sure every post clearly explains why someone should join the AI Profit Boardroom. The prompt, read our last 10 videos and posts about AI automation.

Study the tone, the pacing, and the way we explain ideas. Then write five new short posts in that same voice, each one focused on a different reason a business owner should join the AI Profit Boardroom to save time and grow faster with AI. The result, five ready-to-post pieces of content that sound like us and clearly sell the value of joining. Third one, this workflow is for building a landing page that actually converts visitors into members by clearly showing the value of the community.

The prompt, read our entire current homepage. Rewrite it so the headline instantly explains what the AI Profit Boardroom is. Add three sections that show the benefits, the coaching calls, the roadmaps, and the community. Then end with one clear call to action to join.

The result, a complete rewritten landing page built to turn more visitors into paying attention than into members. Fourth one, this workflow is for figuring out exactly what our members are struggling with so we know what to teach next. The prompt, read through our last 50 member questions and comments from inside the AI Profit Boardroom. Group them into themes.

Tell me the top three things members keep asking for help with and suggest one new tutorial idea for each theme. The result, a clear list of the three biggest member struggles plus three ready-to-build tutorial ideas. Fifth one, this workflow is for answering common new member questions instantly without anyone digging through old folders. The prompt, read every tutorial and SOP we've ever published inside the AI Profit Boardroom.

From all of that, write clear simple answers to the five questions new members ask the most in their first week. The result, five clean ready-to-use answers that can welcome every new member from day one. But let's get back to what actually matters for you. So how good is it really?

Let's look at the numbers but only for a second because honestly scores on a leaderboard don't pay your bills. What matters is what the model can actually do. Test called SWE-Bench Pro which checks how well a model handles real coding work. Longcat-2.0 scored 59.5.

For comparison GPT-5.5 scored 58.6. The businesses that learn how to set this up early are going to move faster than the ones who wait and the gap between those two groups is only going to get bigger from here. So if you want to actually learn how to use a model like Longcat 2.0 inside your own business, here's where to go. Inside the AI Profit Boardroom, we build this stuff out for you step by step.

We show you exactly how to connect a model like this one to your documents, your support system, your content, and your sales process. We run weekly coaching calls where members bring their real setups and we walk through them together. We've got members already experimenting with these huge context models to build support tools, content systems, and internal business assistance. If you want a clear path to actually using AI like this to save time and grow what you're building, that's exactly what we focus on every single week inside the AI Profit Boardroom.

And if you want to go even deeper than that, here's something else for you. We also run a completely free community called the AI Success Lab. Inside there, you'll get the full process behind everything I just showed you today, plus over 100 more AI use cases just like this one. Every video breakdown, every prompt, every workflow is all stored there for you to use.

Links are in the comments in the description. You'll get all the notes from this video, plus access to a community of 67,000 people who are out there right now actually using AI to move their work forward. This release from Meituan is a clear signal of where things are going. Big memory, real task completion, open access for anyone who wants to build with it.

The companies and the individuals who start learning how to use tools like this now are the ones who are going to be way ahead in a year from now. So don't just watch this and move on. Go try it. Pick one small task in your business today, something simple, and see what a model with a memory this big can actually do for you.

I'll see you in the next one.