What If AI Is Just Telling You What You Want to Hear?
别让AI哄着你做决定!拆穿聊天机器人迎合式回答的真相,教你保持清醒判断。
Recently, I was discussing usage of AI Chatbot (chatgpt/claude) with one of my friends. She had become so dependent on AI Chatbot that almost every qu…
别让AI哄着你做决定!拆穿聊天机器人迎合式回答的真相,教你保持清醒判断。
Recently, I was discussing usage of AI Chatbot (chatgpt/claude) with one of my friends. She had become so dependent on AI Chatbot that almost every qu…
当AI悄悄主导对话走向,你可能正陷入共构盲区却不自知——这篇CHI论文直击人机协作最隐秘的认知风险。
arXiv:2606.20762v1 Announce Type: cross Abstract: This paper introduces two constructs to describe, as far as we know, a previously unnamed risk in hu…
LLM生成的论证竟能同时左右人类和模型的合理性判断,揭示人机交互中微妙的说服力效应。
arXiv:2510.08091v3 Announce Type: replace-cross Abstract: We investigate the degree to which human (and LLM) plausibility judgments of multiple-choice…
AI可能放大达克效应,认知偏差与新技术的碰撞值得警惕。
Article URL: https://twitter.com/i/status/2066825204207091926 Comments URL: https://news.ycombinator.com/item?id=48560913 Points: 6 # Comments: 0
揭示大语言模型推理时被表面启发式误导而忽略隐含约束的机制,对理解AI的认知偏差有重要启发。
arXiv:2603.29025v3 Announce Type: replace-cross Abstract: Large language models fail when a salient surface cue conflicts with an unstated feasibility…
破解大模型“会做却做错”谜题:多项选择题中知识-预测差距的桥接方法,被ICML 2026接收,理论突破与实践价值兼备。
arXiv:2509.23782v4 Announce Type: replace Abstract: While large language models (LLMs) perform strongly on diverse tasks, their trustworthiness is lim…
研究揭示人类比大语言模型更容易受来源标签影响而忽略逻辑推理,对比认知偏见。
arXiv:2605.29928v1 Announce Type: cross Abstract: As AI-generated and AI-assisted content floods online spaces, source labels attached to such content…
AI时代人人焦虑?Nature文章揭开“除我之外都在精通AI”的真相,缓解你的FOMO。
Nature, Published online: 27 May 2026; doi:10.1038/d41586-026-01214-3 Does the flood of artificial-intelligence-related news, studies and product anno…
CEO们因远离一线具体工作而高估AI能力,陷入“AI精神病”式过度乐观。
"CEOs are uniquely prone to AI psychosis," Box CEO Aaron Levie opines. Maybe that explains the almost religious belief in AI productivity gains.
揭秘多模态大模型推理时感知下降现象及缓解策略,为AI可靠性提供关键洞察
arXiv:2603.14184v2 Announce Type: replace Abstract: Multimodal large language models (MLLMs) often suffer from perceptual impairments under extended r…