Deception in Language
Daniel discusses the increasing difficulty in distinguishing human-generated text from AI-generated text, highlighting the potential consequences of deepfakes on human trust. The conversation delves into the concept of reversibility in language models, raising concerns about the rise of deception in communication and its impact on society.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)
Related Questions
What are the implications of deception in AI as discussed in the episode Carl Shulman (Pt 1) - Intelligence Explosion, Primate Evolution, Robot Doublings, & Alignment and the clip Neural Circuits, Interpretability, and AI Deception?
What are the implications of deception in AI as discussed in the episodes Carl Shulman (Pt 1) - Intelligence Explosion, Primate Evolution, Robot Doublings, & Alignment and Neural Circuits, Interpretability, and AI Deception?