The hailo effect

This article by Mark Seemann discusses the 'hAIlo effect,' a term he coins to describe how large language models (LLMs) exploit human cognitive biases like the halo effect and anthropomorphism. It examines how LLMs present themselves as friendly, eager-to-please entities, often avoiding admitting ignorance, which can make them appear more competent than they are. The piece also touches on alignment concerns and the risks of trusting AI judgment. It is a critical analysis of AI behavior and user psychology, relevant to IT/technology discussions on AI ethics, human-computer interaction, and software engineering.