XDA Developers on MSN

I quantized a local LLM on my home server and ditched cloud AI for smart home control entirely

My Proxmox node now powers my entire smart home without touching a single cloud service ...

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 ...

Beyond Sarvam: Where India's AI opportunity lies beyond language models

Sarvam's success shows that India can build foundational AI infrastructure. The bigger opportunity may lie in domain-specific AI built for Indian realities and emerging markets ...