Summary ​

• Topic: Explores the feasibility and methods for running very large language models (specifically Qwen 397B) on local hardware.
• Key Technique: Utilizes Apple's "LLM in a Flash" technology, designed for efficient on-device LLM inference.
• Author: Simon Willison, known for his deep dives into AI and data topics.

Our Commentary ​

The idea of running a 397B parameter model locally is mind-boggling, even with Apple's "LLM in a Flash" optimizations. While this is definitely a niche topic for most web developers, it hints at a future where powerful AI capabilities might be directly integrated into client-side applications without relying solely on cloud APIs. It makes me wonder what kind of local AI-powered experiences we'll be building in the coming years.