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 ...
Education Week

How to Use Paper to Teach About AI and Cutting-Edge Tech

Students don’t have to use an artificial intelligence program to learn about AI. There’s an alternate approach—“unplugged AI” ...

Empty envelopes in your mailbox? Do not scan that code

Empty envelopes arriving in your mailbox could be tied to brushing scams where sellers fake verified reviews using your ...

Meta’s Brain2Qwerty v2 turns thoughts into text, and it doesn’t need brain implants

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality. The Latest Tech News, Delivered to Yo ...
Android Police

5 unexpected ways I use QR codes to organize my life

I cover Android with a focus on productivity, automation, and Google’s ecosystem, including Gemini and everyday apps. With a background in engineering and software development, I tend to go beyond ...
What If on MSN

The secret spy messages hidden among our radio stations

Most people think of radio as a source of music, news, sports, or talk shows. But hidden among ordinary broadcasts is a ...
GitHub

Alpaca-CoT: An Instruction-Tuning Platform with Unified Interface for Instruction Collection, Parameter-efficient Methods, and Large Language Models

This is the repository for the Alpaca-CoT project, which aims to build an instruction finetuning (IFT) platform with extensive instruction collection (especially the CoT datasets) and a unified ...