This episode present a summary of the detailed academic paper, "Emergent Introspective Awareness in Large Language Models," which investigates the capacity of large language models (LLMs) to observe and report on their own internal states. The research employs a technique called concept injection, where known patterns of neural activity are manipulated and then LLMs, particularly Anthropic's Claude models, are tested on their ability to accurately identify these internal changes.