Recursive Feedback Loop

Category: science

A system failure occurring when an AI agent consumes its own output, leading to the rapid decay of data quality.

This is a core problem for your social feed simulation engine. Without a "Scrubber" regex or metadata filter, agents feed on their own reply loops, amplifying bias and shrinking the context window until the intelligence output becomes a low-entropy, nonsensical repetition.

Common Examples

• We implemented a context window scrubber to prevent recursive feedback loops from polluting the multi-agent social simulation feed.
• A recursive feedback loop is the death of high-dimension embedding quality in any large-scale model simulation.