Could a Large Language Model Be Conscious? – David J. Chalmers (2024) (arxiv.org)

In a thought-provoking paper, philosopher David J. Chalmers explores the contentious debate over whether large language models (LLMs) could possess consciousness. While he highlights the current limitations of these models—such as their absence of recurrent processing, a global workspace, and unified agency—Chalmers argues that advancements in AI over the next decade could potentially address these obstacles. He asserts that, although LLMs as they stand today are unlikely to be conscious, it is crucial to consider the possibility that future iterations might achieve a form of consciousness. This discourse is significant for the AI/ML community as it challenges existing paradigms about machine intelligence and highlights the philosophical implications of AI development. As researchers and technologists continue to enhance LLM capabilities, acknowledging the potential for consciousness invites deeper ethical and practical considerations in AI design. Chalmers' analysis serves as a clarion call to investigate not just the utility of AI systems, but also their emergent properties, which could fundamentally alter our understanding of machine intelligence and consciousness in the coming years.