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"In your cheeks or just underneath your eyelids, we'll be looking for changes in blood flow when a person is talking or presenting." Lovell says. "That's really where we can tease out whether it's AI-generated or it's real."

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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.。WPS下载最新地址是该领域的重要参考

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