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AI Training 👉 https://sanny-recommends.com/learn-ai AI-Powered SEO System 👉 https://sanny-recommends.com/join-seo-elite GPT 5.3 Codex just changed how software development works. If you’re still copying and pasting code from ChatGPT the old way, you’re missing one of the biggest shifts in AI right now. OpenAI’s GPT 5.3 Codex isn’t just a code writer — it’s an agentic coding model that builds, tests, debugs, and executes entire projects from start to finish. That means you can hand it a goal and it works autonomously, checks in with results, and you can redirect its flow at any time without losing context.  This new version is 25% faster than GPT 5.2 Codex and achieves new highs on real-world benchmarks like SWE-Bench Pro and Terminal-Bench 2.0, which measure real development and terminal command execution skills. Instead of just suggesting snippets, it operates across environments and can run complex tasks end-to-end.  What makes GPT 5.3 Codex especially wild is that early versions of the model were actually used to help build later versions of itself — debugging its own training, managing deployment, and diagnosing evaluation results. That’s a rare step forward in how AI tools evolve.  This model isn’t just for code either. It can handle broader professional tasks like building documents, generating tests, fixing bugs, writing deployment scripts, and more. It runs across the Codex app, CLI, IDE extensions, and web interfaces, and API access is rolling out in phases so you can integrate it into your workflows soon.  One standout feature is midterm steering — while Codex is actively working on a task, you can send it instructions and redirect it without breaking its workflow. That makes iterative work feel like pair programming with an AI.  Here are five ways you can start using GPT 5.3 Codex today: build full web apps from plain descriptions, automate repetitive scripting tasks, prototype ideas rapidly, debug and refactor legacy code, and generate and run tests automatically so you spend less time checking and more time building.

AI Training 👉 https://sanny-recommends.com/learn-ai AI-Powered SEO System 👉 https://sanny-recommends.com/join-seo-elite Most people are still copy-pasting prompts into ChatGPT. Meanwhile, a small group of people have an AI agent managing their inbox, controlling their computer, building code, deploying projects, and handling tasks while they sleep. The gap between those two groups is growing fast. That tool is Open Claw. Open Claw isn’t another chatbot. It’s an open-source AI agent that runs directly on your machine. Your laptop. Your Mac Mini. Your server. Your Raspberry Pi. Wherever you choose. Your data stays yours. Your API keys stay yours. Your rules stay yours. And instead of learning a new interface, you talk to it through the apps you already use every day. WhatsApp. Telegram. Discord. Slack. iMessage. You message it like you’d message a teammate. But here’s the difference. It can actually do things. Open Claw can read and write files. Run terminal commands. Control your browser. Fill out forms. Scrape data. Send emails. Manage your calendar. Deploy code. Monitor GitHub. Spawn other AI agents. And because it has persistent memory, it remembers how you work. People are using it to rebuild websites from their phone while watching Netflix. To run multiple AI agents across different machines. To automate flight check-ins. To build weekly meal planning systems. To fix deployment errors while walking the dog. This isn’t a demo. This is what happens when you move from using AI as a tool… to building AI systems. Yes, there’s a small setup process. You install Node.js, add your API key, run a single command, connect your messaging app, and you’re live. From there, it’s about building workflows that actually save you time. Start simple. Automate your morning briefing. Connect Gmail and Calendar. Create a daily summary. Then expand. Build a second brain. Automate content repurposing.

AI Training 👉 https://sanny-recommends.com/learn-ai AI-Powered SEO System 👉 https://sanny-recommends.com/join-seo-elite Claude Opus 4.6 just dropped with a 1 million token context window… and when you combine it with Open Claw, you get something way bigger than just a chatbot. You get a local AI agent that actually takes action. On February 5th, 2026, Anthropic released Opus 4.6 — their most powerful model ever. It doesn’t just handle massive documents. It maintains coherence across entire codebases. It thinks adaptively. It can output up to 128,000 tokens in a single response. And it scored 76% on MRCR-V2, crushing previous models. But here’s where it gets interesting. Open Claw is an open-source AI agent that runs locally on your machine. It can execute shell commands, control your browser, manage files, connect to WhatsApp, Telegram, Slack, Discord, and more. It stores memory locally. It has a heartbeat system. It can act proactively instead of waiting for instructions. When you connect Open Claw to Opus 4.6, you combine: Massive context + real execution Deep reasoning + local control Long-running conversations + persistent memory This isn’t theory. This is happening right now. You can automate email workflows, code reviews, scheduled tasks, research pipelines, browser actions, GitHub monitoring, smart home control — and scale it as far as you’re willing to build. The key isn’t just using AI. It’s building systems. Start small. Pick one workflow. Automate it. Refine it. Then scale. The gap between people experimenting and people implementing is about to get very wide. If you want to stay ahead of these shifts and actually learn how to apply tools like this properly, check the links below. AI Training 👉 https://sanny-recommends.com/learn-ai AI-Powered SEO System 👉 https://sanny-recommends.com/join-seo-elite

AI Training 👉 https://sanny-recommends.com/learn-ai AI-Powered SEO System 👉 https://sanny-recommends.com/join-seo-elite AI just moved off your screen and into your real world. Vision Claw isn’t another chatbot. It’s an AI super agent that sees what you see, hears what you say, and takes action while you keep living your life. No pulling out your phone. No switching apps. No stopping what you’re doing. It runs on Meta Ray-Ban smart glasses and connects Gemini Live with Open Claw, turning passive AI into something that actually executes tasks. The camera captures what you’re looking at. The microphone hears your command. The agent processes context and triggers real actions through over 50 built-in skills. You can look at a product in a store and ask if it’s worth buying. The AI reads the label, checks reviews, and answers you instantly. You can cook with your hands covered in flour and say “add this to my grocery list” without touching a screen. In meetings, you can add deadlines to your calendar without breaking focus. Traveling? Look at a sign in another language and ask for a translation in real time. What makes Vision Claw powerful isn’t just the camera. It’s the action layer. Open Claw allows the AI to manage notes, send messages, control smart home devices, search the web, automate workflows, and chain multiple actions together. It’s not just responding. It’s executing. The entire system is open source and free to use. If you don’t have the glasses, you can even test it using your iPhone camera. It runs locally with your own setup, which means you control the data and decide what gets processed. This is early stage technology. There are bugs. The video stream runs at about one frame per second. Object recognition isn’t perfect. Battery life is limited. But this is the direction AI is heading — always-on, context-aware, and proactive. If you’re serious about learning how to actually use tools like this instead of just watching updates, start building. Experiment. Connect systems together. The advantage goes to the people who implement early.