Compression and voice models reshape Artificial Intelligence efficiency
Recent releases focused on infrastructure rather than headline model breakthroughs, with gains in compression and voice systems pointing to lower inference costs and broader deployment. Google and Mistral highlighted two distinct paths for real-time audio, while TurboQuant targeted one of the most expensive bottlenecks in long-context inference.
