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 ...

How I set OpenAI API usage limits to stop agent overspending and other AI billing nightmares

OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI ...
The Manila Times

Cequence Platform 9.0 Puts an AI Security Expert in Every Team's Hands

Platform 9.0 lets any team, AI assistant, or agent query, investigate, and act on API security data directly; comes audit-ready across 25 global compliance frameworks ...