13 Matching Annotations
  1. Last 7 days
    1. 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.

  2. May 2026
    1. 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。

  3. Apr 2026
    1. 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。

    1. 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。

    1. 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。

    1. 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。

  4. Mar 2026
  5. Apr 2022
  6. May 2020