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 ...
The Hacker News

North Korea-Linked npm Packages Mimic Rollup Polyfills to Steal Developer Secrets

JFrog says six malicious npm packages used hidden install-time execution, JSONKeeper fetches, and sandbox checks to enable remote access.
Analytics India Magazine

Why MongoDB Says AI Agents Are Only as Good as Their Database

MongoDB believes the next wave of enterprise AI will be driven by better retrieval, lower latency, and greater deployment flexibility ...
Tax Guru

Mandatory Capture of Ship-to Field & Voluntary Closure of E-Way Bill: FAQs

GSTN has clarified mandatory Ship-to GSTIN requirements, API changes and voluntary e-Way Bill closure before the proposed 1 August 2026 ...