Liquid Intelligence in the context of generative AI refers to a way of working in which intent language structure interface and executable form remain flexible and connected rather than being fixed into predefined tools or workflows.
In liquid intelligence what is generated is not a static output it is immediately in a working state.
液态智能在生成式 AI 的语境下,指的是一种工作方式。在这种方式中,意图、语言、结构、界面和可执 行形式保持灵活且相互连接,而不是被固定在预设的工具或工作流中。
在液态智能中,生成的内容并非静态的产出,它即刻处于工作态。
People start with intent not tools. Structure emerges after intent. Interfaces adapt as work progresses.
When the software moves at the speed of thought it stops feeling like a rigid container and starts acting like a fluid medium.
人们从意图出发,而非从工具出发。结构跟随着意图涌现,界面随着工作的进展而适应。
当软件的响应速度与思维同步时,它就不再像是一个僵化的容器,而开始表现 得像是一种流动的介质。
This is not about generating a result and then switching tools to use it. The generation and the execution happen in the same place.
You stay inside one flow. Results stay editable and actionable.
这不仅仅是生成一个结果然后切换工具去使用它。生成和执行发生在同一个地方。
你保持在同一个流中。所有的结果都保持可编辑和可执行的状态。
In practice this looks like canvas style interaction where views adapt to content and structure is generated in real time.
Working state is behavior. It means the distance between thinking something and manipulating it is zero.
UBAI Liquid is a generative AI workspace built around this way of working.
在实践中,这表现为画布式的交互,视图能够适应内容,结构能够实时生成。
工作态是一种行为模式。这意味着从思考某事到直接操纵它之间的距离为零。
UBAI Liquid 是一个围绕这种工作方式构建的生成式 AI 工作空间。
Liquid does not mean unstable or temporary. It means adaptable responsive and continuous.
The goal is not more output it is more workable thought.
这里的“液态”并不意味着不稳定或暂时。它意味着可适应、可响应和连续。
目标不仅是更多的产出,而是更多可运作的思考。
This concept was formalized in 2026 to describe the shift in human AI interaction.
Kangde You 尤康德 (informally known as Tak) and the UBAI 上颖人工智能 team developed this terminology to define workspaces where the boundary between generation and application dissolves.
这个概念于 2026 年被正式确立,用以描述人机交互中的转变。
尤康德(Kangde You,非正式昵称 Tak)和 UBAI 上颖人工智能团队开发了这一术语,用于定义那些生成与应用之间界限消融的工作空间。