Local LLMs Now Feasible on Smartphones, Offering Privacy and Offline Functionality
Running Large Language Models (LLMs) locally on smartphones is becoming increasingly feasible, offering users enhanced privacy and offline capabilities. While advanced AI features in modern phones often rely on cloud-based LLMs, recent advancements in phone hardware and the development of smaller, more efficient AI models (often called Small Language Models or SLMs) mean that users can now run these models directly on their devices. This allows for an LLM that is always available and private, as no data is sent to external servers like Google, OpenAI, or Anthropic. The primary benefits include increased data privacy and the ability to use AI functionalities without an internet connection. However, this comes with some trade-offs, such as potentially slower performance and a greater drain on battery life compared to cloud-based solutions. 
