A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
Published:Dec 14, 2025 18:51
•1 min read
•ArXiv
Analysis
This article from ArXiv argues against the consciousness of Large Language Models (LLMs). The core argument centers on the importance of continual learning for consciousness, implying that LLMs, lacking this capacity in the same way as humans, cannot be considered conscious. The paper likely analyzes the limitations of current LLMs in adapting to new information and experiences over time, a key characteristic of human consciousness.
Key Takeaways
- •The article challenges the notion of LLM consciousness.
- •It emphasizes the role of continual learning in human consciousness.
- •The paper likely focuses on the limitations of current LLMs in adapting to new information.
Reference
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