How to run an LLM on your laptop

Simon Willison has demonstrated a significant advancement in local large language models (LLMs) by loading open-weight models onto a USB stick, enabling offline, private access to powerful AI capabilities without reliance on cloud services. This development is made possible through recent research that has successfully compressed and optimized LLMs, allowing them to run efficiently on standard hardware such as laptops and even smartphones, drastically lowering the barrier to entry for personal AI deployment. This shift toward accessible, local LLMs has broad implications for privacy, decentralization, and user control over AI tools, challenging the dominance of cloud-based providers like Open