Recent advancements in AI technology have enabled users to run powerful language models in unconventional settings, such as on flights. The Llama-3.1-405b model has been successfully deployed on two MacBooks using Exolabs for distributed AI inference, allowing users to engage with the model offline for gaming, coding assistance, and more. Exolabs optimally distributes AI models based on device resources, enhancing the feasibility of running large language models (LLMs) in various environments. Additionally, new tools like LlamaRank from SFResearch have emerged, designed to improve document ranking and code search capabilities across diverse datasets. These developments highlight the growing accessibility and efficiency of AI applications, including the ability to run models like Phi-3.5-Mini directly in web browsers, making advanced AI technology more user-friendly and versatile.