A photo of a scribbled note becomes an interactive to-do list; a paused frame in a travel video becomes a booking link for that cool-looking restaurant.
These aren't demos—they're previews of how AI will collapse the gap between passive content consumption and active task completion. Every image, video frame, or document becomes a potential action surface. This fundamentally changes what 'content' means.
Today's agents, the copilots, the chatbots are designed to be human like.
大多数人认为AI助手应该模仿人类交互方式，使其更自然、更易用。但作者认为这种设计方向是错误的，因为它需要高认知负荷来交互、解析和管理，违背了'平静技术'的理念。作者暗示我们应该让AI更像机器而非人类，以减少认知负担。
it almost always traces back to the interface rather than the language model
这是一个极具反直觉的深刻洞见：AI产品的不靠谱往往是界面问题而非模型问题。当我们将责任推给算法黑盒时，作者指出通过优秀的交互设计构建结构和护栏，能有效补偿模型的不确定性，这才是当下的核心设计挑战。
Non-deterministic software breaks the contract. When outcomes can vary, sometimes wildly, based on what someone types into the same chat window, designing for reliability becomes genuinely harder. This slippery feeling is the design problem of this era, and it almost always traces back to the interface rather than the language model—which means it belongs to designers, not researchers.
大多数人认为AI的不确定性是一个技术问题，需要更好的模型来解决，但作者认为这是一个设计问题，属于设计师而非研究人员的责任。这一观点挑战了AI领域的主流认知，即技术进步是解决AI不可靠性的主要途径。
The funny part is that none of this made the CLI worse for humans.
大多数人认为增加机器可读的接口（如标志、JSON配置）会降低工具对人类的友好度。但作者认为，这些为AI代理设计的特性实际上改善了人类用户体验，因为它们使工具更加明确、可预测和可组合，而不是让工具变得更复杂。
ReconfigBehSci. (2020, November 9). Session 2: The policy interface followed with a really helpful presentation by Lindsey Pike, from Bristol, and then panel discussion with Mirjam Jenny (Robert Koch Insitute), Paulina Lang (UK Cabinet Office), Rachel McCloy (Reading Uni.), and Rene van Bavel (European Commission) [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1325795286065815552