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 ...

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.
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 ...

Could Codex Be The Answer To OpenAI’s Problems?

OpenAI relaunched Codex as a separate desktop app in February. ChatGPT is about to get a lot more powerful. That's because ...
Tech Times

Claude Code Dynamic Workflows Go GA: Pro Users Can Now Spawn 1,000 Parallel Agents

Claude Code dynamic workflows are now generally available on all paid plans, including Pro for the first time. The feature writes its own orchestration scripts and coordinates up to 1,000 parallel ...