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A Maker Turned a $4 Toy Robot Into an AI Companion for a Kid, and a Tiny 0.8B Model Makes It Stop in 200 ms Talking robots usually have a lag problem: by the time a large language model has decided what "stop" means, the robot has already hit the wall. Maker Asten (beasaltfish) ran into exactly this while turning a $4 toy robot into a voice-controlled AI companion for their kid, and fixed it with a second, much smaller model. A fine-tuned 0.8-billion-parameter "reflex" model hears every command… |
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Arduino's 16 GB VENTUNO Q Runs a 744-Billion-Parameter AI Model From an SSD, and It Took 7 Minutes to Name Three Planets Large language models with hundreds of billions of parameters normally live in data centres, on servers with far more memory than any single-board computer. So it is a surprise to see one answer a question on an Arduino. In a project published on Arduino Project Hub, Jim Bruges ran GLM-5.3, a 744-billion-parameter model whose files take up about 419 GB, on an Arduino VENTUNO Q with just 16 GB… |
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Instead of Training a Robot, He Let a General-Purpose Multimodal LLM Control It to Pick Up and Bin a Toy Harrison Kinsley, the YouTuber behind Sentdex, has shown a Vulcan Robotics Sourccey, a 3D-printed robot he calls “Chonk,” picking up a toy from the floor and dropping it in a bin with no task-specific training. In part three of his “Everything is LLM” series, published Oct 8, a general-purpose multimodal language model made the task decisions. The planning and control came from DeepSeek’s V4.1… |
