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 ...
Tech Times

New APT Group Hits Power Grids in Three Countries with AI-Crafted Malware

Armored Likho BusySnake Stealer, a Python-based infostealer first disclosed by Kaspersky, is actively targeting government ...
Decrypt

LongCat-2.0: The Stealth AI Model That Was Quietly Topping OpenRouter All Along

Chinese tech company Meituan officially unveiled LongCat-2.0 on June 30, confirming the open-license, 1.6-trillion-parameter mixture-of-experts AI model is the same system that sp ...

Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.