Here's a roundup of the most notable AI developments and news making waves today: US Reviews Nvidia AI Chip Sales to China: The Trump administration is reviewing potential shipments of Nvidia's advanced AI chips to China, reversing prior restrictions. This could mark the first approvals under new policy, amid arguments it discourages Chinese rivals from advancing independently. AI's 2025 Environmental Impact Revealed: A new report estimates the AI boom generated up to 80 million tonnes of CO2 emissions this year—equivalent to New York City's annual output—and consumed up to 765 billion liters of water. This highlights growing concerns over datacenter energy and resource demands. Red Hat Bolsters Open AI Portfolio: Red Hat announced an acquisition to integrate model-agnostic security tools into its AI offerings, emphasizing "default to open" principles for trustworthy, hybrid-cloud AI deployments. Agentic AI Shifts in Developer Tools: News highlights a move toward persistent AI agents for tasks like onboarding and code correctness proofs, with tools gaining rapid traction (e.g., 19k+ GitHub stars). Ongoing Hype Reckoning: Reflections on 2025 note slower-than-expected progress in AI agents entering the workforce, with many business pilots stalling and core tech improvements plateauing. Leadership Changes at Amazon AI: Amazon veteran Peter DeSantis takes over a new unit for AI models, chips, and quantum, while Rohit Prasad (Alexa/AI lead) steps down. Other Mentions: Updates on Meta's AI glasses in India, Xiaomi's competitive models, and broader trends like multilingual AI and ethical regulations. The AI landscape continues evolving rapidly, balancing innovation with policy, environmental, and practical challenges. For real-time buzz, Grok models lead OpenRouter usage with 16T+ tokens processed.

Hey everyone 👋I’m currently deep into learning AI, automations, and practical tools that can actually be used in real work and businesses (things like workflows, content systems, and productivity setups). I recently started a small Skool space where we learn together — experimenting, breaking things, sharing what works, and helping each other improve. No hype, no shortcuts — just real learning. I’m also here to learn from you.If you’re working on AI, automation, content, or systems, I’d love to hear: - What are you currently learning? - What tools or workflows are you focusing on? - What’s been the hardest part so far? Happy to exchange ideas, resources, and experiences 🙌