Cap-ex at google is increasing at roughly 6x per year!
AI HARDWARE
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Technical challenges in deploying H100 clusters for AI development
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I was recording my nanochat video when I realized that “first boot up an 8XH100 from your favorite provider!” would instantly get everyone stuck on step 1 of the video
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Project GAIUS: Gesture Control Without the Cloud
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Point at a lamp. It turns on. Point at the TV. It changes the channel. No remote, no voice, no cloud. Project GAIUS by @KatusDavid: multi-camera 3D triangulation, arm raycasting, gesture recognition on Metis M.2. Fully offline, fully open source. Code + docs:
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Coworking Space for Vibecoding on H100 GPUs
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We need a dedicated coworking space for vibecoding where you can rent time on a local network of H100 GPUs.
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New Course: Transformers in Practice with AMD
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New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and… pic.twitter.com/g8sCrC3sP5
— Andrew Ng (@AndrewYNg) 14 mai 2026New course: Transformers in Practice. You'll gain a practical understanding of how transformer-based LLMs function, enabling you to analyze their behavior, troubleshoot issues like slow inference, and make informed deployment decisions. This course is developed in partnership with AMD.
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Man builds laser drone using Claude Code
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Man builds a drone that tracks targets with a laser using Claude Code pic.twitter.com/ZeTSHZZrXC
— AI Breakfast (@AiBreakfast) 13 mai 2026Man constructs a drone that tracks targets with a laser, powered by Claude Code
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Google transforms Android into AI platform
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Google just turned Android into an AI delivery vehicle at its #TheAndroidShow event. New Gemini-native laptops. The phone OS is becoming a system-wide intelligence layer. The cursor is now an agent. It was a big day of releases, and I/O isn't even here yet. The most notable
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Developer burns full transformer into FPGA at 50K tokens/sec
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/1 Developer implements a full transformer model in FPGA hardware, achieving 50,000 tokens per second without a GPU. What if an AI model ran with zero software? No Python, no GPU, no runtime—just logic etched into a chip. That’s exactly what TALOS-V2 does. TALOS-V2 explores what happens when a small…
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Anthropic’s Potential with NVIDIA GPUs and Power
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Okay Anthropic, show us what you could do with 220,000 NVIDIA GPUs and 310MW.
