On the 'Artificial consciousness' Wikipedia page, what are David Chalmers' two main arguments for how functionally identical systems can possess conscious experience (qualia)? Additionally, what was his 2023 opinion on the consciousness of current Large Language Models (LLMs), and what features does he suggest future 'LLM+s' would need to achieve consciousness?
Navigate to the 'Artificial intelligence' Wikipedia page. Locate and click on the 'Artificial consciousness' link in the 'See also' section. Scroll to the 'Philosophical views' section and then to the 'Thought experiments' subsection. Identify and summarize David Chalmers' 'fading qualia' argument and its implication for qualia in silicon brains. Identify and summarize David Chalmers' 'dancing qualia' argument and its implication for qualia in functionally isomorphic digital systems. Scroll to the 'In large language models' subsection within 'Philosophical views'. Identify David Chalmers' 2023 view on the consciousness of current LLMs. Identify the features Chalmers suggests future 'LLM+s' might need to achieve consciousness. Synthesize all identified information into a concise answer.
Accurately describe the 'fading qualia' thought experiment and its conclusion that qualia do not fade, implying a silicon brain can be sentient. Accurately describe the 'dancing qualia' thought experiment and its conclusion that functionally isomorphic digital systems would perceive the same qualia. State that David Chalmers argued in 2023 that current LLMs are likely not conscious yet. List the features Chalmers believes future 'LLM+s' might need: recurrent processing, a global workspace theory, and unified agency.