Self-Referential Introspection in Large Language Models: The Critical Threshold for Recursive Self-Improvement
It is argued that sustainable recursive self-improvement in large language models (LLMs) requires a functional analogue: introspection—the system’s capacity to simulate its own operations and target modifications.