INSANE AI Leaks: Gemini 3.5, GPT 5.3, Claude Sonnet 5!

Today, I'm going to show you the craziest AI leaks that just dropped. We're talking Gemini 3. 5, writing 3,000 lines of code in one shot. GPT 5. 3, getting smarter without getting bigger, and Claude Sono 5 with a whole team of AI agents working for you. This stuff is wild and it's all happening right now. The AI world just exploded. Three massive leaks dropped and everyone's losing their minds. We're talking about models that could change everything about how we work. Models that write entire apps in seconds. models that think deeper than anything we've seen and models that push the limits of what AI can do. But here's the thing, some of this is real. hype. And I'm going to break down exactly what you need to know. Now, before we dive in, I need to be clear about something. These are leaks, not official announcements, not confirmed releases, leaks from inside sources, error logs, and industry insiders. So, we're going to look at what's being claimed, what makes sense, and what you should actually pay attention to. 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's start

with Google Gemini 3. 5. This leak is absolutely insane. The code name for this one is Snow Bunny. I know, weird name, but forget the name for a second. L focus on what it supposedly does. Leaks claim that Gemini 3. 5 can generate over 3,000 lines of coherent code in one prompt. Let me say that again. 3,000 lines in one shot. Right now, if you ask any AI to write a big chunk of code, you're usually getting a few hundred lines max. And even then, you're crossing your fingers hoping it all works together. Gemini 3. 5 is reportedly generating entire software stacks from a single prompt. Not just code snippets, not just functions, entire apps, front end, back end, database, schema, the whole thing. The leaks also mention

something called deep think mode. This is where the model pauses to simulate complex reasoning. Instead of just spitting out an answer immediately, it thinks through the problem. It considers different approaches. It plans out the solution before writing a single line of code. If this is real, it's a gamecher for developers. Imagine describing your app idea and getting a working prototype in minutes, not hours, not days, minutes. This isn't about getting help with a function or debugging a piece of code. This is about building entire projects from scratch with one detailed prompt. Gemini 3. 5 is reportedly built for advanced reasoning and multimodal tasks. That means it doesn't just handle text. It handles images, code, data, and combines them all together. You could potentially feed it a sketch of a user interface, describe what you want it to do, and it builds the whole application. The model understands context across different types of input and outputs, a complete solution. This is next level stuff. This is turning AI into a full development partner instead of just a coding assistant. But here's where we need to pump the brakes. These claims are unverified. There's no official confirmation from Google. This is all coming from internal testing leaks and industry rumors. Could it be real? Absolutely. Google has the resources and the talent to build something like this. Is it guaranteed? Not even close. We're in hot rumor territory here. High interest, tons of excitement, but we're still waiting on hard facts from Google themselves. Now, let's talk about Claude

Sonic 5. This leak has a whole AI community buzzing. The rumored code name is Fenck and there's a leaked model ID that showed up in Vertex AI error logs. People are watching to see if Anthropic drops something official. Right now, it's all speculation based on error logs and internal code names that leaked out. The claims around this model are wild. We're talking about a massive 1 million token context window. For perspective, that's like feeding it an entire book and having it remember every detail, every character, every plot point, every tiny reference, and it can work with all of that information at once. Current models have big context windows, but 1 million tokens is on another level. You could feed it your entire codebase, all your documentation, and your project specs, and it would hold all of that in memory while working on your task. The leaks also say it's optimized with Google TPUs for speed. TPUs are tensor processing units. They're Google's custom chips built specifically for AI. If Claude is running on those, it could be way faster than the current models. We're talking about responses that come back in seconds instead of the slower processing we sometimes see. Now, speed matters when you're using AI throughout your workflow. The faster the response, the more you can get done, the more iterations you can run, the better your final output becomes. But here's the

really crazy part. The parallel sub agents, the leak claims Claude Sonic 5 has something called dev team mode. This is where the model splits into multiple AI agents that collaborate on tasks. One agent handles the front end, another does the back end, another handles testing, another manages the database. They all work together like a real development team, except they're all AI and they all work at the same time. Think about what that means. Instead of one AI working on one thing at a time, you have multiple AI agents tackling different parts of your project simultaneously. That's not just faster, that's a completely different way of working. And if you want to learn how to save time and automate your business with AI tools like Claude, Gemini, and Chat GPT, you need to check out my AI profit boardroom. This is where you'll learn to scale your business, get more customers, and save hundreds of hours with AI automation. We're diving deep into these exact tools and showing you how to use them for real business results. Link is in the description. Now, let's get into GPT 5. 3. This one

has a weird code name. They're calling it garlic. Yeah, like the food. But here's why that name actually makes sense. The whole idea behind GPT 5. 3 is not about being the biggest model. It's about being the smartest model per compute. Small but potent. Just like garlic. You don't need a ton of it to make a huge impact. This is a shift in strategy. Instead of building the largest model possible, OpenAI is focusing on efficiency and intelligence density. The leaks say GPT 5. 3 is focused on improved reasoning and multi-step planning. Think about what that means for a second. Right now, when you ask Chat GPT to do something complex, it sometimes loses the thread. It forgets what you asked three prompts ago. it doesn't always connect the dots. GPT 5. 3 is supposedly fixing that benalong context handling without just throwing more computing power at the problem. They're making the architecture smarter, not just bigger. This means it can handle complex tasks that require multiple steps. Remember what it did earlier and adjust its approach based on what worked and what didn't. This is reportedly OpenAI's response to the competition. Google and Anthropic have been pushing hard. They're releasing powerful models. They're innovating fast. Open AAI knows they can't just rest on their lead. So instead of going for the massive model that requires huge resources to run, they're going for dense intelligence, smarter reasoning, better planning, more capability in a more efficient package. This is about making AI that thinks better, not just bigger AI that does more of the same thing. The focus on reasoning matters

because that's where AI still struggles. Getting an AI to write code is one thing. getting it to plan out a complex project, think through edge cases, and adjust its strategy as it goes, that's harder. If GPT 5. 3 really does improve multi-step reasoning, it means you can give it bigger tasks with more moving parts. You can trust it to handle projects that currently require constant human oversight. This isn't just an incremental upgrade. This is a fundamental improvement in how AI thinks and plans. The AI landscape is changing faster than ever. These leaks, whether they're real or not, tell us where attention and innovation are heading. The companies building these models are in an arms race, and we get to benefit from all of it. Better tools, more automation, higher output. That's the future we're walking into. Yeah. So, here's what I want you to do. Comment below which leak you're most excited about. Is it Gemini 3. 5 with massive code generation, Claude Sonet 5 with the AI dev team, or GPT 5. 3 with smarter reasoning? Let me know. And if you want to learn how to save time and automate your business with AI tools like Claude, Gemini, and Chat GPT, you need to check out my AI profit boardroom. This is where you'll learn to scale your business, get more customers, and save hundreds of hours with AI automation. We're diving deep into these exact tools and showing you how to use them for real business results. Link is in the description. And if you want the full process, SOPs, and over 100 AI use cases like these, join the AI success lab links in the comments. in 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. All right, thanks for watching. Hit the like and subscribe button and I will see you in the next