This $10 Chip Is Now an AI Brain
A 45M-parameter AI model now fits on a $10 microcontroller, but its real power isn't conversation. It’s a breakthrough that could embed intelligent action into billions of everyday devices.
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A 45M-parameter AI model now fits on a $10 microcontroller, but its real power isn't conversation. It’s a breakthrough that could embed intelligent action into billions of everyday devices.
An $8 microcontroller with less RAM than a 90s PC is now running a 29M parameter language model completely offline. Uncover the clever memory hack, inspired by Google's Gemma, that makes this impossible feat a reality.
Everyone's betting on the smartest AI model to win the tech race. But the real victor is building something else entirely, right under our noses.
Running large AI models locally on your phone usually means a dead battery and a crashed app. A new inference engine called Cactus changes the game by using zero-copy memory mapping and NPU-first architecture to deliver massive performance with a tiny footprint.
A decade-old computer with just 512MB of RAM is running a local AI model. We break down the impossible engineering feat that makes modern AI truly portable.
Google just released Gemma 4, a game-changing AI model designed to run completely offline on your phone. Its radical new architecture promises unprecedented intelligence in a tiny package, potentially making cloud AI obsolete for everyday tasks.