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From Prompt to Pointer Engineering: Deepmind 尝试为 AI 时代重塑鼠标光标

2026-05-13 17:36· 95天前· Maximilian Schreiner
AI 导读

Deepmind 提出“指针工程”概念,旨在将鼠标光标转变为上下文工程中的关键变量。这一设想试图超越传统的提示词工程,通过光标在界面上的物理位置和移动轨迹来影响和引导 AI 模型的行为与输出。其目标是为人机交互开辟新范式,使光标成为与 AI 系统进行精细、动态交互的核心工具。

Image description

Google

Pointer Engineering: Deepmind wants to turn the mouse cursor into the key variable in context engineering.

"Because a typical AI tool lives in its own window, users need to drag their world into it. We want the opposite," write Deepmind researchers Adrien Baranes and Rob Marchant. Instead of relying on precise prompts, a Gemini-powered pointer is meant to capture the visual and semantic context around the cursor. Users could then work with shorthand commands like "Fix this" or "Move that here," combined with speech and gestures.

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According to Deepmind, pixels turn into "structured entities" such as places, dates, or objects. A handwritten note becomes an interactive to-do list, a paused video frame a booking link. The principles are already being woven into Gemini in Chrome, where users can select parts of a webpage and ask questions about them directly. On the upcoming Googlebook, the feature will launch as "Magic Pointer."

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This won't replace prompt engineering, since more complex tasks still require precise descriptions. Other tools rely on screenshots or hand-drawn markers, like red arrows in image and video editors, that serve as visual anchors for detailed prompts. Deepmind's approach mostly streamlines short, chat-like everyday interactions by reducing the effort needed to hand context over to the model.

来源:The Decoder:AI News(RSS) · the-decoder.com

From Prompt to Pointer Engineering: Deepmind 尝试为 AI 时代重塑鼠标光标

The Decoder:AI News(RSS)·2026-05-13 17:36·95天前·Maximilian Schreiner
AI 导读

Deepmind 提出“指针工程”概念,旨在将鼠标光标转变为上下文工程中的关键变量。这一设想试图超越传统的提示词工程,通过光标在界面上的物理位置和移动轨迹来影响和引导 AI 模型的行为与输出。其目标是为人机交互开辟新范式,使光标成为与 AI 系统进行精细、动态交互的核心工具。

原文 · 保持原样,未翻译
Image description

Google

Pointer Engineering: Deepmind wants to turn the mouse cursor into the key variable in context engineering.

"Because a typical AI tool lives in its own window, users need to drag their world into it. We want the opposite," write Deepmind researchers Adrien Baranes and Rob Marchant. Instead of relying on precise prompts, a Gemini-powered pointer is meant to capture the visual and semantic context around the cursor. Users could then work with shorthand commands like "Fix this" or "Move that here," combined with speech and gestures.

视频 · 前往原文观看

According to Deepmind, pixels turn into "structured entities" such as places, dates, or objects. A handwritten note becomes an interactive to-do list, a paused video frame a booking link. The principles are already being woven into Gemini in Chrome, where users can select parts of a webpage and ask questions about them directly. On the upcoming Googlebook, the feature will launch as "Magic Pointer."

视频 · 前往原文观看

This won't replace prompt engineering, since more complex tasks still require precise descriptions. Other tools rely on screenshots or hand-drawn markers, like red arrows in image and video editors, that serve as visual anchors for detailed prompts. Deepmind's approach mostly streamlines short, chat-like everyday interactions by reducing the effort needed to hand context over to the model.

来源:The Decoder:AI News(RSS)· the-decoder.com