(4/6) 🔑2️⃣: In Study 2, we observed that the videos had a nuanced effect: watching the LLMs-as-machines video did lead to participants submitting answers that agreed with the LLM responses less, but only when the LLM responses were inconsistent.
(5/6) 📌This matters because it shows that even brief messages about LLMs can shape how people understand, trust, and rely on them. As these systems become embedded in everyday life, the way we talk about them—across research, media, and product design—has real consequences.
(1/6) People talk about AI systems (including large language models, or LLMs) in different ways. We first ask how this might shape what people believe about the technology–primarily, what mental capacities (e.g., the ability to have intentions) people attribute to LLMs.