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 ...
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 ...

JadePuffer ransomware used AI agent to automate entire attack

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...
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 ...