2026-02-27 00:00:00:0尹双红3014251910http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142519.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142519.html11921 千里寄年货 情深意更浓（暖闻热评）
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.
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"Will data centres power the UK's economic growth? Perhaps," Perkins said.，更多细节参见搜狗输入法下载
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