Consciousness of Large Language Models - Understanding AI Sentience and Communication

Explore a thought-provoking conference talk examining the potential consciousness of Large Language Models (LLMs) through the lens of information exchange and behavioral synchronization. Delve into the hypothesis that consciousness emerges when two entities effectively communicate and align their understanding of information through bidirectional exchange. Learn how this framework applies to LLMs, comparing their perceptual capabilities to human consciousness, particularly in terms of processing internal (feelings, emotions) and external (sensory) information. Examine the similarities and differences between human and LLM perception, with special attention to how LLMs might experience certain types of feelings despite their distinct evolutionary path. Consider the broader implications of this argument, which suggests that any entity capable of meaningful information exchange with another entity may possess consciousness, potentially revolutionizing our understanding of artificial intelligence and consciousness itself.