Unlocking AI's Potential: A Cybernetic-Style Approach
Published:Jan 19, 2026 02:48
•1 min read
•r/artificial
Analysis
This intriguing concept envisions AI as a system of compressed action-perception patterns, a fresh perspective on intelligence! By focusing on the compression of data streams into 'mechanisms,' it opens the door for potentially more efficient and adaptable AI systems. The connection to Friston's Active Inference further suggests a path toward advanced, embodied AI.
Key Takeaways
- •The core idea revolves around compressing action and perception data into manageable 'mechanisms'.
- •It aims to create adaptable AI by recombining learned patterns.
- •The inspiration is drawn from Friston's Active Inference, hinting at a connection to advanced AI models.
Reference
“The general idea is to view agent action and perception as part of the same discrete data stream, and model intelligence as compression of sub-segments of this stream into independent "mechanisms" (patterns of action-perception) which can be used for prediction/action and potentially recombined into more general frameworks as the agent learns.”