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 ...

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

Million PDFs: Building a Modern Document Infrastructure with Rust and Typst

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...
Tech Times

North Korea’s Lazarus Group Hid a Full RAT in Six Rollup Polyfill npm Packages

Lazarus Group concealed a four-module remote access toolkit inside six fake npm Rollup polyfill packages that fired at import ...

Google Health Launches a CLI to Put Your Health Data to Work

Google Health has just launched a CLI, allowing users and developers to access their health data and build tools like ...

This new Google tool brings AI agents to your Fitbit and health data

Google's new Health CLI lets you build custom dashboards, AI-powered health automations, and more using your Google Health ...
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 ...