the way we communicate with them must evolve from loose conversation into something closer to structured collaboration.
随着模型变得更加 agentic，传统的自然语言提示词工程可能正在走向终结。未来的人机交互将更像是在设计机器可读的工作流。这隐含了一个假设：为了可靠性和可控性，我们需要牺牲部分自然语言的模糊性，转向结构化的语义标记。
18 Matching Annotations
- Last 7 days
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thesequence.substack.com thesequence.substack.com
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- Jun 2026
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www.latent.space www.latent.space
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Humans are just out of distribution.
大多数人认为AI系统需要适应人类行为模式，但作者认为人类行为实际上是AI系统中的'异常值'，因为人类行为与AI训练数据分布不符。这一观点挑战了传统人机交互设计理念，暗示AI系统可能需要为'不完美'的人类行为进行特殊设计。
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techcrunch.com techcrunch.com
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With RTX Spark and Microsoft Windows, you ask — and the PC does the work. Frontier models. Creative workflows. RTX games. All on a laptop.
大多数人认为AI PC只是现有电脑的增强版本，但作者引用黄仁勋的话暗示Nvidia正在推动一个根本性的变革：从人机交互的点击模式转向完全由AI代理操作的指令模式。这将彻底改变用户与计算机的互动方式，挑战传统的人机交互范式。
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With RTX Spark and Microsoft Windows, you ask — and the PC does the work
大多数人认为PC交互仍将以点击、输入为主，作者认为Jensen Huang的愿景是彻底改变人机交互方式，使PC能够通过语音指令直接完成任务，这挑战了传统PC使用习惯的共识。
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- May 2026
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www.anthropic.com www.anthropic.com
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KPMG and UT Austin's research helps clarify what that human should be doing
文章提到KPMG与UT奥斯汀大学进行联合研究，但没有提供研究样本大小、研究方法或具体发现等量化数据。此处缺乏量化依据，无法评估研究的科学价值和实际应用效果。合作研究本身是一个积极信号，但没有具体研究成果的数据支持，难以评估其对AI实践的实际指导意义。
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deepmind.google deepmind.google
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because a typical AI tool lives in its own window, users need to drag their world into it. We want the opposite: intuitive AI that meets users across all the tools they use, without interrupting their flow.
This reframes the AI interaction problem: instead of AI being a destination users navigate TO, AI should come TO the user's context. This 'ambient AI' design philosophy is the opposite of the chatbox paradigm that's dominated for 3 years.
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cruxevals.com cruxevals.com
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GUI bottleneck (Gemini spent weeks unable to list a product due to misclicking)
大多数人认为高级AI模型在处理图形用户界面(GUI)任务时会与人类相当或更好，但作者展示了相反的证据：即使是先进模型如Gemini也会因为简单的误点击而被困在基本任务上数周。这挑战了我们对AI实际能力的认知，揭示了其在物理交互方面的严重局限性。
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- Apr 2026
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arxiv.org arxiv.org
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users push back against agent outputs -- through corrections, failure reports, and interruptions -- in 44% of all turns
大多数人可能认为用户会接受AI编程助手的建议，但数据显示近一半的用户交互中，用户都在主动抵制或纠正AI的输出。这表明AI编程助手与用户之间存在显著的认知冲突，而非简单的合作关系。
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www.minimax.io www.minimax.io
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M2.7 demonstrates excellent identity preservation and emotional intelligence. Beyond productivity use cases, it also opens space for innovation in interactive entertainment scenarios.
这一声明揭示了AI模型在保持身份一致性和情感智能方面的突破，这不仅是技术进步，更可能开启人机交互的新范式，使AI能够更自然地融入创意和娱乐领域，拓展AI应用边界。
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LLMs are weird. You can sometimes get better results by threatening them, telling they're experts, repeating your commands, or lying to them that they'll receive a financial bonus.
这个关于大语言模型行为特性的描述令人惊讶且具有洞察力。它揭示了AI系统与人类互动的奇特方式，暗示未来可能需要专门的'咒语师'来掌握这些非直观的交互技巧。这种反直觉的现象可能预示着人机协作的新范式，以及我们对AI理解和控制方式的根本转变。
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The first interface that spread for AI tools was the chat window. That makes sense. When you don't know what something can do, the safest approach is to let people ask. A conversation feels familiar, it stretches across many situations, and it doesn't force a specific structure up front.
大多数人认为聊天界面是AI交互的理想形式，因为它直观且灵活，但作者暗示这只是探索阶段的工具，而非严肃工作的解决方案。这一观点挑战了当前AI工具设计中聊天界面占主导地位的趋势。
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- Mar 2026
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glassmanlab.seas.harvard.edu glassmanlab.seas.harvard.edu
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What happens in interaction is mutually determined by the human and the computer. In other words, what happens in interaction cannot be attributed solely to the human or the computer—the two must be considered together.
a sentence describing the concept of interaction
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Phenomena in interaction are emergent, that is, they are not attributable to the user or to the computer alone.
a sentence describing the concept of interaction
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Interaction is a dynamic phenomenon that unfolds over time as users and computers influence each other.
sentence describing the concept of interaction
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What happens in interaction cannot be attributed solely to the human or the computer—the two must be considered together.
individual sentence describing the concept of interaction
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Interaction is a core notion in HCI and refers to the mutual influence between people and computers.
sentence describing the concept of interaction
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- Apr 2022
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144
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- May 2020
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catalyst.nejm.org catalyst.nejm.org
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Guney S., Daniels C., & Childers Z.. (2020 April 30). Using AI to Understand the Patient Voice During the Covid-19 Pandemic. Catalyst Non-Issue Content, 1(2). https://doi.org/10.1056/CAT.20.0103
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