Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

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 ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Public Broadcasting Service (PBS)

How legal battles across the country could complicate the midterms

As President Trump attempts to wield greater power over election administration ahead of the midterms, dozens of legal ...

API Banking Is Moving From Connectivity To Strategy

A research report on API banking, open banking, open finance, embedded finance, BaaS, regulation, security, and adoption trends shaping connected financial ecosystems.