NEW Google Gemini 3.5 is INSANE!

New Google Gemini 3. 5 is insane. Google just leaked something massive. And I mean massive. They're calling it Gemini 3. 5 Snow Bunny. This thing supposedly writes 3,000 lines of working code from one prompt. That's not normal. That's not even close to normal. And it gets crazier. Way crazier. So, here's what's happening right now in the AI world. There's this leaked model going around. People are testing it. They're posting benchmarks. And everyone's losing their minds. The code name is snow bunny. Sounds cute, right? But this thing is a beast. We're talking about a model that allegedly crushes GPT 5. 2 and Claude Opus 4. 5 on reasoning tests. We're talking about scores above 80% on the hardest benchmarks out there. Now, before we go further, I need to be super clear. These are leaks. These are rumors. Google hasn't confirmed any of this, but the evidence is piling up. And if even half of this is real, we're looking at the biggest AI jump we've ever seen. 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. Let me break down what people are claiming.

First, the code generation users are saying they gave it one prompt, one single prompt, and it spit out 3,000 lines of working code. Not broken code, not buggy mess, working code, code that actually runs. Think about that for a second. Most AI models give you maybe 100 to 200 lines max before they start falling apart. This is 15 times that. People are building entire apps from scratch with one conversation. Then

there's the reasoning part. Snow Bunny apparently has this deep think mode. It pauses before answering like it's actually thinking through the problem. And the results is beating every model out there on complex reasoning tasks. We're talking math problems, logic puzzles, coding challenges, stuff that usually trips up even the best AI. But wait, there's more. The multimodal stuff is insane. This model supposedly generates UI code, vector graphics, music, full software stacks, all from text prompts. You could literally describe an entire app and get back everything you need to build it. Front end, backend, database structure, the whole thing. Now, I know what you're

thinking. This sounds too good to be true. And you're right to be skeptical. So, let's talk about where these leaks are coming from. We've got early testing forums. We've got anonymous benchmark posts on Reddit. We've got community members in AI groups sharing screenshots and test results. None of this is official. Google hasn't said a word. Let me show

you the difference between what's leaked and what's real. The Snow Bunny internal model, that's rumored, not confirmed. The claim about 3,000 lines of code from one prompt. That's coming from test users, but Google hasn't documented it anywhere. The benchmark showing it beats GPT 5. 2 and clawed. Those are leaked claims, not official numbers. Deepth think reasoning mode mentioned in leaks, but not announced by Google. What is real though is that Gemini 3 Flash has solid code generation and multimodal features, just not at the scale these leaks are claiming. So, there's a foundation of truth here. Google's models are getting better. The question is, how much better? Here's the thing about leaks in the AI world. Sometimes they're dead accurate. Sometimes they're completely made up. And sometimes they're real, but overblown. I've seen all three happen. Remember when people leaked GPT4 details before launch? Most of that was accurate, but I've also seen fake benchmarks circulate that turned out to be completely fabricated. With Snow Bunny, we're in this weird middle ground. The claims are extraordinary, but they're not impossible. Google has the resources, they have the talent, they have the motivation to compete with OpenAI and Anthropic. A massive leap forward would make sense strategically. If you want to learn how to actually use AI tools like this to save time and automate your business, you need to check out the AI profit boardroom. This is where I teach people how to scale with AI, get more customers, and save hundreds of hours with automation. Whether Google confirms Gemini 3. 5 or not, the AI tools available right now can already transform your workflow. And in the AI profit boardroom, you'll learn exactly how to leverage tools like Gemini, Chat, GPT, and Claude to build systems that actually saves your time. Link is in the description. Now, let's talk about what

this could mean if it's real. Imagine you're a developer right now. how you spend hours writing code, debugging, testing. With a model that can generate 3,000 working lines from one prompt, that entire workflow changes. You become more of a director than a coder. You describe what you want and the AI builds it. For designers, same thing. You could describe an entire design system and get back all the components, the style guide, the assets. For automation, you could explain a business process and get back the complete automation script. This isn't just faster, it's a completely different way of working. But here's where the skeptics come in, and they have good points. A lot of AI leaks overhype basic improvements. Models that are slightly better get described as revolutionary. Benchmarks get cherrypicked to show the best possible results. And community hype can spiral into misinformation really fast. So

what should you actually believe? Here's my take. Google is definitely working on improving Gemini. That's not a question. The Gemini 3 family is real, and it's getting better with each release. Could they have an internal model that's significantly more powerful? Absolutely. Companies test models internally all the time before public release. Could that model generate 3,000 lines of code and beat GPT 5. 2 on benchmarks? Maybe is technically possible. The question is whether what people are testing is actually a near final build or just an early experimental checkpoint that will never see [clears throat] the light of day. Here's what I'm watching for. If this is real, we'll see more consistent leaks, more people testing it, more benchmarks from different sources. The evidence will pile up, and eventually Google will either confirm it or release something similar. If it's fake or overblown, the hype will die down in a week or two, and we'll never hear about it again. [snorts] So, what should you do with this information? First, don't panic about being replaced. These tools make you more powerful, not obsolete. Second, start learning how to work with AI models effectively. Prompt engineering is a real skill. Third, stay updated on what's actually confirmed versus what's rumored. Don't make business decisions based on leaks. And here's the final thing I'll say. Whether Gemini 3. 5 Snow Bunny is real or not, the AI race is accelerating. Google, OpenAI, Anthropic, they're all pushing each other to build better models faster. We're going to see multiple major releases this year. Some will live up to the hype, some won't, but the overall trend is undeniable. AI is getting scary good. So, is Google Gemini 3. 5 real? The leaked benchmarks are electrifying. The claimed capabilities are mind-blowing, but we have to treat them as rumors until Google confirms. If even half of this is legit, it could be the biggest AI leap yet. But until then, stay skeptical, stay informed, and keep building with the tools that actually exist today. If you want to learn how to

actually use AI tools like this to save time, and automate your business, you need to check out the AI Profit Boardroom. This is where I teach people how to scale with AI, get more customers, and save hundreds of hours with automation. Whether [snorts] Google confirms Gemini 3. 5 or not, the AI tools available right now can already transform your workflow. And in the AI profit boardroom, you'll learn exactly how to leverage tools like Gemini, Chat, GPT, and Claude to build systems that actually saves you time. Link is in the description. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. Whether you're into SEO, automation, content creation, or just want to stay ahead of the AI curve, this is where you need to be. Right, thanks for watching. Hit the like and subscribe button and I will see you in the next