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 ...
InfoQ

Google Releases A2UI v0.9: Portable, Framework-Agnostic Generative UI

Google has released A2UI v0.9, a framework-agnostic standard for AI agents to declare user interface intent across multiple ...
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 ...
The Financial Express

How you can create your second brain with Claude

Learn how to build a second brain using Claude and Obsidian to create a persistent, local AI memory that remembers your conversations and preferences, enhancing your chatbot experience. Follow a ...

The new SEO stack: What replaces your old toolset

See how LLMs, APIs and scripts cut busywork, uncover AI search signals and help teams move faster without ditching core SEO ...