That is not a good summary. In all their versions of the experiment, they presented the tool as AI, and used actual LLM answers. In the first example, participants were directly interacting with a real, though small, LLM, but they had technical issues because of that - 10% of the time the LLM setup failed to present an answer at all. So they redid the experiment with pre-generated answers - the participants saw the same UI, but when they asked the question of the AI, they instead got one of 3 pre-generated answers from that AI, to avoid the technical issues.