#llama.cpp Tech News.
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An author set up a local coding agent on macOS using Gemma 4 with Multi-Token Prediction (MTP) after internet failures stranded them without cloud agents. On an Apple M1 Max with 64 GB memory, the model achieved 72.2 tokens/second with 3 draft tokens, up from 58 tokens/second without MTP.
Squeezlabs built an AI system powered by a handcrank charger, using a Raspberry Pi 5 running llama.cpp. A custom capacitor board prevents brownouts from processing spikes. The handle resistance varies with computing load, highlighting future potential for lower-power AI.
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