A New Framework Compiles AI Task Logic Into Lightweight Local Models. The Idea Challenges The Assumption That Stronger AI Must Always Mean Larger Runtime Models.
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB LoRA adapter file that a 600M-parameter offline model runs at 30 tokens per second on a MacBook M3, matching…
International Business Times ·