Networked Intelligence: Scaling Human-AI Networks with Active Context Graphs

The current paradigm of AI scaling relying on massive context windows and long-horizon agentic execution is rapidly approaching a plateau. Challenging scientific problems are rarely solved by one isolated reasoner; they are solved by distributed teams carrying different priors, tacit knowledge, and domain-trained intuitions. The open problem is therefore not just how to scale individual models, but how to cultivate networked intelligence: scaling the connections between humans and AI systems so that a hypothesis produced in one context reaches the exact person, agent, instrument, or robot that can act on it. The talk will introduce Mycelium, a runtime architecture using an Active Context Graph to connect isolated users, agents, and instruments into a synchronized network. I will detail empirical success stories showing how active context propagation fundamentally altered the trajectory of a live scientific campaign. Join this session to see a direct contrast between networked execution and standalone autonomous models, providing actionable evidence of a completely new axis for AI scaling.