AI Networks

Overview

Imagine a future where everyone owns a personal AI model. That day is approaching faster than we think. Companies like NVIDIA, Meta, and DeepSeek are already laying the groundwork to make this a reality. The real questions is -- what happens when all these models become interconnected?

Throughout history, when we’ve connected groundbreaking technologies, the results have always been profound. Connecting computers gave rise to the internet; connecting phones revolutionized global communication. These advancements forever altered our social fabric. However, as we learned with social media, the effects aren’t always positive—they can straddle the line between beneficial and harmful. AI is poised to join this category of transformative technologies that demand careful consideration of both risks and rewards.

Several modern frameworks are paving the way for a world where servers seamlessly connect AI models. For hobbyists and enthusiasts, frameworks like Anthropic’s recently released Model Context Protocol (MCP) offer promising possibilities. Langraph has become the premiere tool for connecting almost anything to a model - including other models. However these solutions are static, they require a manual connections before they can be of any use.  A future where these connections can be dynamic may is poised to fundamentally change the relationships between models and their users.