Hello seniors and members of the community,
I’m a university student from South Korea, currently studying in a general software engineering department. While I don’t yet have a deep technical understanding of large language models (LLMs), I’ve recently been inspired by an idea I’d love to share with you all.
The idea is this: what if we could coordinate existing LLMs—models already brilliantly developed by pioneers like yourselves—into a kind of AI company where each LLM plays the role of a team member or even an employee?
Just as a good meal is the result of carefully selected and combined ingredients, I wondered if carefully orchestrating specialized LLMs could bring us closer to a form of superintelligence.
As I explored this concept further, two key needs became apparent:
- A shared memory or storage system between LLMs to facilitate information exchange
- A mechanism for reinforced reasoning, akin to reinforcement learning, where higher-level LLMs validate and improve the outputs of lower-level ones.
Imagine a tree structure:
- At the top is a central AI manager, perhaps akin to an MCP (Master Control Program), overseeing the system.
- Mid-level nodes act as group leader AIs, validating and refining the work of subordinate models.
- At the leaf level are highly specialized models—like Qwen2.5-Coder—tasked with focused roles such as coding or data retrieval.
Would such an architecture not resemble an emergent form of superintelligence?
If this is technically feasible, I believe it could open up a whole new frontier for how we design intelligent systems.
I’d love to hear your thoughts—whether on feasibility, design suggestions, or related research directions.
Thank you so much for reading.
Warm regards,
A curious student from South Korea