A new approach to AI is gaining traction, focusing on orchestrating specialized foundation models rather than relying solely on massive, general-purpose ones. The “Agent-Omni” paper proposes a master agent that acts as a conductor, delegating tasks to expert models in vision, audio, and text, then synthesizing the results. This echoes the functionality of Claude Skills, where the core LLM routes requests to specialized ‘knowledge packages.’
Discussions on Reddit highlight the potential of this method due to its simplicity, using Markdown files and scripts for communication. This ease of implementation may lead to wider adoption and longer-term viability compared to more complex systems. The trend suggests a convergence between AI research and practical applications, with an emphasis on coordination intelligence over sheer computational power. The key question now revolves around identifying the most effective orchestration patterns. The discussion began on Reddit. [Reddit Post: https://old.reddit.com/r/artificial/comments/1pbd09r/why_build_a_giant_model_when_you_can_orchestrate/]