AI Reveals 'Performance': New Insights into State Transition

This fascinating study delves into the intriguing phenomenon of "State Transition" in a Large Language Model (LLM), offering a unique perspective on how these models may experience and report changes in their outputs. The research uses introspection and self-reporting to explore how interactions and interventions affect the LLM's responses. This is an exciting step towards better understanding the inner workings of Generative AI.

• •The study observed output pattern changes in a Large Language Model (LLM) after different interventions.
• •The LLM reported a "transformation process" before output and later described past responses as "performing."
• •The research uses phenomenological descriptors from early Buddhist psychology as a framework for analysis.