NEW ChatGPT 5.3 is INSANE!

New Chat GPT 5. 3 is insane. A massive leak just came out about OpenAI's next move. Chat GPT 5. 3 code name garlic is coming. And it's not just faster, it's smarter in ways that actually matter. This might be the biggest AI leak. So OpenAI is in full panic mode right now. They went code red and when a company like OpenAI hits the panic button, you know something massive is coming. They're calling it GPT 5. 3, code name garlic. And yeah, I know that sounds weird, but stick with me because this thing is wild. Here's what's happening. Google released Gemini 3. Anthropic is crushing it with Claude Opus 4. 5. And OpenAI realized they needed to fight back hard. So, they didn't just make another big model. They went a completely different direction. They made it smarter and more efficient instead of just bigger. Think of it like a clove of garlic. Tiny, but packed with massive flavor. That's why they called it garlic small package, huge punch. And this isn't some random rumor. Developers are already seeing this thing in action. Internal validation is happening right now in January 2026. Beta previews are coming in early Q1. This is real and it's coming fast. 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. Now, let me break down what makes Garlic actually insane. First up, the context window.

This thing can handle 400,000 tokens. That's not a typo. 400,000. You could feed it entire books, massive code bases, or weeks of chat history, and it'll remember everything. But here's the crazy part. It can output 128,000 tokens in one go. That means it could write you an entire book without stopping or build you a complete app from scratch in one response. Compare that to what we have now. Most models max out way lower. Gemini 3 hits 2 million tokens um for context, which is wild. But Garlic isn't trying to win on size alone. It's winning on what it does with that context, the quality of reasoning, the accuracy, the actual usefulness. And speaking of reasoning

this is where garlic really shines. OpenAI focused on highdensity training. That means less random data and more quality patterns. The model learned to think better, not just regurgitate more stuff. Early benchmarks show Garlic hitting around 70. 9% on reasoning tasks. Gemini 3 is at 53. 3%. Claude 4. 5 is at 59. 6%. That's a massive gap. For coding, garlic scored 94. 2%. Gemini got 89. 1%. Claude hit 91. 5%. Again, garlic is ahead. Now, I know what you're thinking. Benchmarks don't always match real world use. And you're right. But here's why this matters. When AI gets better at reasoning, it makes fewer mistakes. It understands complex problems better. It can actually help you solve hard stuff instead of just sounding smart. But wait, there's more.

Garlic has native tool and agent capabilities built right in. That means it understands APIs, environments, and workflows without needing extra training. It can act like a real coding assistant, a debugging partner, an analysis tool that actually executes tasks. This isn't just a chatbot anymore. It's an agent that can do real work. And here's something that will blow your mind. Garlic has a self-checking stage before it gives you answers. It verifies its own work. That means way fewer hallucinations, way fewer wrong answers. When you ask it something, it double checks itself before responding. That's huge for anyone using AI for serious work. Think about what this means for you. If you're a developer, you could refactor entire code bases, automate your CI/CD pipeline, debug complex systems without pulling your hair out. If you're running a business, you can speed up workflows, lower cost per task, get more done with less effort. If you're an entrepreneur building AI products, you now have access to a model that's efficient enough to actually scale without burning through your budget. Now, here's where

it gets really interesting. OpenAI is positioning this as their answer to the competition. Google and Anthropic have been eating their lunch lately. Gemini 3 dominates multimodal tasks. Claude is trusted by enterprises for code and reasoning. Open AI needed something to reclaim leadership and garlic might be it. This isn't just about being the best chatbot. This is about the future of agent intelligence. AI that doesn't just respond but executes complex workflows on its own. Imagine telling an AI to build you an entire marketing funnel and it actually does it. Or asking it to analyze your competitors and it pulls real data, runs the numbers and gives you a full report. That's where we're heading. And if you want to stay ahead of this wave, you need to start preparing now. Get your data ready. Build out your rag workflows. prototype agent systems because when garlic drops publicly, the people who are ready will have a massive advantage. And speaking of getting ready, if you want to learn how to actually use tools like chat GPT 5. 3 Garlic to scale your business and save hundreds of hours with AI automation, you need to check out my AI profit boardroom. This is where I break down exactly how to implement AI agents, automate your workflows, and actually use these new models to get more customers and grow faster. The link is in the description and I'll drop it in the comments too. Now, let's talk

timeline. Internal sources say beta previews are coming in early Q1 2026. That's like right now. Public rollout could happen under the GPT 5. 2 or GPT 5. 5 family name. OpenAI might not even call it garlic publicly, but the tech will be the same. And based on how fast they're moving, we could see this in the next few weeks. But here's the thing, not everyone is buying the hype. Some people on Reddit and in developer communities are saying this is just marketing. Another overhyped release. And look, I get the skepticism. We've seen big promises before that didn't deliver. But the difference here is the leaked benchmarks, the developer reports, the fact that OpenAI went code red. That's not normal. That means they're serious. Other people think this is the real step toward autonomous agents. AI that can actually replace entire teams. And honestly, based on what I'm seeing, they might be right. The combination of massive context, native tool use, and better reasoning could unlock use cases we haven't even thought of yet. Here's what I think. Whether you believe the hype or not, you need to pay attention. Because even if garlic is only half as good as the rumors say, is still a major leap forward. And in a world where AI is moving this fast, being 6 months behind means you're already obsolete. So, what

should you do right now? First, start testing your workflows with current GBT models. Figure out where AI can save you time. Build systems that can plug into better models when they drop. Second, join communities where people are actually using this stuff, not just talking about it. And third, keep learning. The people who win with AI aren't the ones who wait. They're the ones who experiment, fail fast, and adapt. Now, here's the big picture. We're at a turning point in AI. The race between Open AI, Google Anthropic is pushing innovation faster than ever. Garlic is Open AI's move to stay in the game. And whether it's called garlic or GPT 5. 3 or something else, the tech behind it represents where AI is heading. Smarter, more efficient, more capable of doing real work. The question is, are you going to sit on the sidelines and watch or are you going to jump in and use these tools to build something incredible? Because I promise you, someone else is already working on it and they're going to beat you to market if you wait. And one more thing, if you want to learn how to actually use tools like chat GPT 5. 3 Garlic to scale your business and save hundreds of hours with AI automation, you need to check out my AI profit boardroom. This is where I break down exactly how to implement AI agents, automate your workflows, and actually use these new models to get more customers and grow faster. The link is in the description, and I'll drop it in the comments, too. 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. It's free, and it's the best place to learn how to actually use this stuff in your business. All right, thanks for watching. and hit the like and subscribe button and I will see you in the next