Google Accelerates Gemini Nano on Pixel with Frozen Multi-Token Prediction

Google Research describes a method for accelerating Gemini Nano inference on Pixel devices using frozen multi-token prediction. The approach predicts several future tokens while generating the next one, then verifies those predictions during decoding. Because the prediction component remains frozen, the technique is presented as a way to improve on-device latency without requiring full model retraining. The supplied Hacker News entry does not include benchmark results, exact Pixel models, energy measurements, or implementation details, so the practical gains still need to be assessed from the original Google Research article.