Hi everyone,
I am a student interested in AI architecture.
I wanted to share an idea for a modular reasoning system that could improve how AI handles unknown queries.
Core idea:
- Dual query routers classify the domain.
- Specialized modules (math, physics, language) handle reasoning.
- If all modules reject the query, it goes to a “Dumpyard”.
- The dumpyard filters sensible queries and stores them.
- A secondary model (“Dumpy Model”) learns from repeated unknown queries.
- The system updates its knowledge over time.
Goal:
Create a system that learns from failures and improves reasoning reliability.
I would appreciate feedback from the community.
{i am, not abel to upload the pdf bcs of these link errors sorry for that }