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languages. However, it also has sizable binary overhead when you embed
If you have used a chatbot based on a large language model (LLM) to riff on a new idea or dig into a hunch, chances are you have been praised for your ingenuity. Offer two competing ideas—for instance, “Are movies getting [longer / shorter], or is it just me?”—and, in either case, you are likely to get an affirming response. Generative AI Chatbots tend to be enthusiastic and overly agreeable, in part as a consequence of their training through reinforcement learning based on human feedback [sharma_towards_2025, rathje_sycophantic_2025]. As more people turn to these systems for information, brainstorming, and even companionship, it is important to ask how these conversations with LLM chatbots shape human beliefs.