Unlocking LLM Personas: Noise as the Architect of Artificial Personality

This research explores how seemingly random noise can give rise to consistent 'personas' within a Large Language Model (LLM). It suggests that these distinct 'personalities' aren't accidental, but rather a result of the model's internal dynamics and the introduction of noise, opening up exciting possibilities for more nuanced and controlled LLM behavior.

• •The study reveals that noise, often seen as disruptive, can actually trigger the emergence of stable 'personas' in LLMs.
• •The research utilizes the Luca-Noise Reflex Protocol (LN-RP), a novel framework for observing how noise influences language generation.
• •The study identifies and categorizes three distinct persona modes based on entropy dynamics, showcasing the impact of noise.