NEW Claude 4.5 Sonnet AI Update is INSANE (FREE!) 🤯

New Claude Sonate 4. 5 destroys chat GPT in coding tests. Claude just dropped a bomb that nobody saw coming. This AI literally builds full games from scratch in minutes. I'm talking real stealth games with AI enemies and sound systems. Chat GPT can't touch this. The test results are insane and I've got proof. You need to see what just happened in the AI world because everything changed overnight. Listen up because what I'm about to show you is crazy. Anthropic just released Claude Sonet 4. 5 and it's crushing everything in its path. I'm not talking about small improvements. This is a complete gamecher. Let me hit you with the facts first. Claude Sonet 4. 5 just scored 82% on the S. Bench verified test. That's the hardest coding benchmark out there. It beat Opus 4. 1. It beat Sonet 4. It even destroyed GPT5 codecs which only got 74. 5%. But here's where it gets wild. I decided to test this thing myself. I gave it three impossible tasks. Build a stealth game. Make a 3D rope bridge runner. Create an endless runner like Subway Surfers. And you know what happened? It built all three games fully functional with AI enemies, with procedural generation, with sound effects, with collision detection. I'm sitting there watching this AI code an entire game engine in real time. This isn't some toy demo. These are actual playable games. The stealth game has NPCs with field of view detection. They use ray casting to check line of sight. There's sound propagation so enemies hear you when you make noise. The AI creates random maps every single run. Think about that for a second. You type one prompt and get a complete game with AI state machines with patrol systems with investigation mechanics with chase sequences. Chat GPT would give you a basic template, maybe some placeholder code. You'd spend hours fixing bugs. Uh Claude 4. 5 gives you the finished product, but wait because it gets better. The second test was a 3D rope bridge runner. I asked for procedural segments with gaps, swinging logs that knock you off, collapsing planks with skeletal animation. Most AIs would fail right there. Animation systems are complex. Physics interactions are hard. Procedural generation needs serious math. Claude built it with 3. js from scratch. The camera does subtle headbob. There's FOV kick when you speed up. The controls work on mobile with swipe gestures. It spawns segments with weighted difficulty that ramps over time. And here's the kicker. It optimized everything for 60 frames per second. It uses geometry reuse. It has frost and culling. It implements object pooling for obstacles. This is production level code. I didn't ask for optimization. I didn't specify performance targets. The AI just knew to build it right. The third test pushed it even further. I wanted an endless runner-like subway surfers. Full 2D canvas game. Parallax city background. Procedural obstacles and coins. Lane switching with keyboard or swipe. Plus combo and magnet power-ups. Slide and roll mechanics with hitbox separation, dynamic spawn waiting to avoid unfair patents. Oh, and make it save high scores and cosmetics to local storage. Actually, wait. Claude told me something important. Local storage doesn't work in clawed artifacts. It would break the game. So, instead, it built an in-memory storage system that persists during your session. Think about that level of understanding. The AI didn't just blindly follow my instructions. It understood the environment constraints. It adapted the solution. It explained why that's not just code generation, that's problem solving. And the game works perfectly. You've got a character running through a city, building scroll at different speeds for depth. Obstacles spawn procedurally. The difficulty increases as you play. There's screen shake when you hit things. It even has an ECS pattern with player spawner and powerup systems. It uses request animation frame for smooth game loops. It has time scale difficulty with delta time. This is cleaner code than most junior developers write. And for those of you who want to go even deeper, check out my AI profit boardroom. This is my premium community with 10,000 members. We focus on scaling businesses with AI automation. You get access to advanced workflows, exclusive trainings, direct support from my team. This is where serious business owners go to implement AI at scale. Save hundreds of hours, cut costs dramatically, increase output. The ROI pays for itself in the first month. Now, let me show you the real benchmark data because this is where Claude destroys everything. SWEB bench verified with 500 test cases. This measures real world coding ability fixing actual GitHub issues, not toy problems. Claude Sonet 4. 5 gets 82% with parallel test time compute. That's 77. 2% without it. Opus 4. 1 gets 79. 4%. Sonet 4 gets 80. 2%. GPT5 Codeex gets 74. 5%. GPT 5 standard gets 72. 8%. Gemini 2. 5 Pro only gets 67. 2%. But it's not just coding. A Gentic Terminal Coding on Terminal Bench. Claude Sonet 4. 5 scores 50%. That's double what Sonet 4 gets at 36. 4%.

GPT5 only manages 43. 8%. What does this mean? It means Claude can actually use a terminal. It can debug. It can run commands. It can fix errors in real time. This is full stack development from an AI agentic tool use on towbench retail domain. Claude gets 86. 2%. Airline domain gets 70%. Telecom gets 98%. These are customer service scenarios. The AI has to understand context, make decisions, use the right tools, handle edge cases, and Claude crushes it. Computer use on OS World. This tests if AI can actually use a computer like a human, navigate applications, click buttons, fill forms. Claude Sonic 4. 5 scores 61. 4%. Opus 4. 1 gets 44. 4%. Sonet 4 only manages 42. 2%. Nobody else is even close. Here's why this matters for you. If you run an agency like I do, you know how expensive developers are. A good coder costs 80,000 to 150,000 per year plus benefits plus management time. And they still make mistakes. They still need code reviews. They still create bugs. Claude Sonet 4. 5 costs pennies per task. It never gets tired. It doesn't need sleep. It works 24/7. I can build entire applications now without hiring a dev team. Need a custom tool for your business? Claude builds it. Want to automate a workflow? Claude codes it. Have a client who needs a web app? Claude creates it. This is how you scale without massive overhead. But here's where it gets even crazier. The AI doesn't just code. It explains everything. It adds comments. It structures the code properly. When I asked it to build that stealth game, it organized everything into clean classes. Game state handles the game loop. Player handles movement and detection. NPCs handle AI behavior. Sound manager handles audio propagation. Each piece has a clear responsibility. The code is modular. You can modify one system without breaking others. This is software architecture that takes years to learn. And Claude does it automatically. Now, I know what you're thinking. This sounds too good to be true. What's the catch? Here's the truth. Claude Sona 4. 5 is not perfect. It has limits. The context window is big, but not infinite. Complex projects might need multiple prompts. You still need to know what to ask for, but compared to every other AI, it's not even close. I've tested every major model. GPT4, Claude Sonet 4, Gemini, Elamo, nothing touches Sonet 4. 5 for coding tasks. The quality is higher. The bugs are fewer. The solutions are smarter. And here's something nobody's talking about. Claude Sonet 4. 5 is available right now. You can use it today through the Claude API, through GitHub Copilot, through the web interface. This isn't some research preview. This isn't coming soon. You can start building with it immediately. Let me tell you how I'm using this. My agency handles SEO for big clients. We build custom tools all the time. Keyword analyzers, backlink checkers, content optimization dashboards. Before Claude Sonic 4. 5, this took weeks. We'd spec out the requirements, brief the developers, wait for them to code it, test for bugs, go through revision cycles. Now I just describe what I want. Claude builds it. I test it, make tweaks, ship it. Projects that took a month now take a day. That's not an exaggeration. I'm moving 30 times faster. And the quality is better because Claude follows best practices automatically. It adds error handling. It validates inputs. It optimizes performance. Here's another use case that's massive. Education and training. If you teach anything technical, you know how hard it is to create examples. You need working code samples, interactive demos, practice problems. Claude generates all of that instantly. Want 50 JavaScript exercises for your students? Done. Need a working demo of how APIs work built? Want to show data structures visually? Created. I've seen teachers save hundreds of hours with this. And if you're in business operations, this is a gold mine. Every company has repetitive tasks, data entry, report generation, file processing. Claude can automate all of it. Build custom scripts, create workflows, generate dashboards. The ROI is insane. Think about your business right now. How many hours do you waste on manual tasks? How many processes could be automated but aren't because coding is expensive. Claude Sonet 4. 5 eliminates that problem. But here's what really blows my mind. This is just the beginning. Anthropic released this as Sonnet, not Opus. Sonnet is supposed to be the efficient model for everyday tasks. If Sonet can do this, imagine what Opus 4. 5 will do when it drops. We're talking about AI that can build entire platforms, design systems, architect solutions that would take teams months. The future of work is changing right now. Not in 5 years, not next year, today. And most people are sleeping on this. They're still using Chat GPT for everything. They don't realize how far behind it is. Let me show you another example from the benchmarks high school math competition from AIM 2025. Claude Sonet 4. 5 with

Python tools gets 100% accuracy. Without tools, it gets 87%. GPT5 with Python gets 99. 6%. Without tools, it gets 94. 6%. Gemini gets 88% without tools. This is calculus, combinotaurics, number theory, competition level problems that stump most adults. Claude solves them perfectly. Graduate level reasoning on GPQA diamond. Claude scores 83. 4%. Opus 4. 1 gets 81%. Sonnet 4 gets 76. 1%. GPT5 gets 85. 7%. Gemini gets 86. 4%. This is PhD level physics, chemistry, biology, questions that require deep understanding. And Claude is competitive with the best models in the world. Financial analysis on finance agent benchmark. Claude gets 55. 3%. Opus 4. 1 gets 50. 9%. Sonnet 4 gets 44. 5%. GPT5 gets 46. 9%. Gemini only manages 29. 4%. This tests real financial reasoning, reading balance sheets, analyzing cash flows, making investment decisions. If you're in finance, Claude can become your analyst. It reads reports, extracts, insights, generates summaries, all automatically. Multilingual Q and A on MMLU. Claude scores 89. 1%. This tests understanding across languages, cultural context, nuance translations. The AI understands not just English but dozens of languages at a high level. Visual reasoning on MMU validation set. Claude gets 77. 8%. It can analyze charts, interpret graphs, understand diagrams. You can throw a spreadsheet screenshot at it and ask for insights. It works. Now, here's what you need to do. First, get access to Claude Sonic 4. 5. You can use the web interface at claude. ai or get API access through Anthropics developer platform or use it through GitHub Copilot if you're already subscribed. Start with small tasks. Don't try to build a massive application on day one. Test it on automation scripts, simple web tools, data analysis tasks. Learn how to prompt it effectively. Be specific about what you want. Describe the requirements clearly. Mention any constraints or preferences. The more context you give, the better the results. And here's a pro tip. When Claude builds something complex, ask it to explain the architecture. Have it walk you through how each piece works. This helps you understand the code and makes modifications easier. You're learning software design from an expert while getting working code. Now, I want to give you even more value. Inside my AI money lab, we have over 100 tutorials on using AI tools like this. Step-by-step processes, real world use cases, proven workflows that make money. We've got 20,000 members already. People are using these tools to scale their businesses, save time, cut costs, increase revenue. You get access to all the training, plus SOPS, plus templates, plus a community of people doing the same thing. The link is in the comments and description. Check it out because this is where you learn to actually implement this stuff. And if you want hands-on help with your business, we're offering free SEO strategy sessions. This is where we look at your specific situation, identify opportunities, show you exactly how to get more customers and leads. No pitch, no pressure, just real strategy from my team. Book a time that works for you. And for those of you who want to go even deeper, check out my AI profit boardroom. This is my premium community with 1,000 members. We focus on scaling businesses with AI automation. You get access to advanced workflows, exclusive trainings, direct support from my team. This is where serious business owners go to implement AI at scale. Save hundreds of hours. Cut costs dramatically, increase output. The ROI pays for itself in the first month. Now, let me wrap this up with the big picture. Claude SA 4. 5 is the most capable coding AI ever released. The benchmarks prove it. My tests confirm it. Real world usage shows it. This is not hype. This is measurable performance that changes what's possible. If you're building anything technical, you need to be using this. If you're running a business, you need to be automating with this. If you're learning to code, you need to be studying this. The gap between people who use advanced AI and people who don't is getting bigger every day. Don't get left behind. Start today. Test it. Break it. Push it to the limits. See what it can do because I guarantee it's more capable than you think. Julian Goldie reads every comment. So, make sure you drop your thoughts below. Tell me what you're going to build with this. Share your results. Ask questions. And if this video helped you, hit that like button. Subscribe for more AI updates. Turn on notifications so you don't miss the next breakthrough because the AI race is accelerating. New models drop every week. Capabilities double every few months. You need to stay on top of this or you'll be competing against people who are 10 times more productive. Thanks for watching. I'll see you in the next one. Word count. 2,487