Where is the Uncanny Valley in LLMs?
Published:Dec 27, 2025 12:42
•1 min read
•r/ArtificialInteligence
Analysis
This article from r/ArtificialIntelligence discusses the absence of an "uncanny valley" effect in Large Language Models (LLMs) compared to robotics. The author posits that our natural ability to detect subtle imperfections in visual representations (like robots) is more developed than our ability to discern similar issues in language. This leads to increased anthropomorphism and assumptions of sentience in LLMs. The author suggests that the difference lies in the information density: images convey more information at once, making anomalies more apparent, while language is more gradual and less revealing. The discussion highlights the importance of understanding this distinction when considering LLMs and the debate around consciousness.
Key Takeaways
- •LLMs may not trigger the uncanny valley effect as readily as visual representations like robots.
- •The difference may stem from the information density in visual vs. linguistic communication.
- •Increased anthropomorphism and assumptions of sentience may result from the lack of a clear uncanny valley effect in LLMs.
Reference
“"language is a longer form of communication that packs less information and thus is less readily apparent."”