A program for constructing a progressive multi-intelligence body training system
The following workarounds can be used to address the current technical limitations of multi-intelligent body interaction:
- Layered training method:1. basic training with one intelligent body → 2. fixed intelligent body + movable environment → 3. gradually increasing the number of intelligent bodies
- Event-driven model:Reduce concurrency complexity by triggering the behavior of different intelligences in stages through "promptable world events".
- Mixed Reality Program:Combine Genie 3-generated scenarios with a real physics engine and switch to a specialized simulation platform for key interactions
Implementation Suggestion: Start with simple rule-based systems (e.g., traffic light-controlled intersections) and gradually increase the interaction complexity. Currently, the interaction time can be controlled within 90 seconds, and the system can maintain good stability. At the same time, a scene snapshot system can be established to save the state periodically to minimize the accumulation of errors.
This answer comes from the articleGenie 3: Generating virtual worlds that can be interacted with in real timeThe
May not be reproduced without permission:AI productivity tools " How to overcome Genie 3's multi-intelligent body interaction limitations at the current stage?
