# Gemini 3.5 Flash 中的计算机使用

- 来源：Hacker News 热门（buzzing.cc 中文翻译）
- 作者：swolpers
- 发布时间：2026-06-25 05:16
- AIHOT 分数：71
- AIHOT 链接：https://aihot.virxact.com/items/cmqsl6c5y042hslfu74apxkap
- 原文链接：https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-computer-use-gemini-3-5-flash

## AI 摘要

Google 将计算机使用（Computer use）作为内置工具集成至 Gemini 3.5 Flash，使开发者能构建跨浏览器、移动端和桌面环境的智能体。此前该功能仅作为独立模型在 Gemini 2.5 中提供，现已原生整合至主 Flash 模型。开发者可通过 Gemini API 及 Gemini Enterprise Agent Platform 调用。安全方面，模型采用针对性对抗训练降低提示注入风险，并新增两项可选企业级保护：要求用户确认敏感操作、检测到间接提示注入时自动停止。该能力在持续软件测试、跨应用知识工作等长周期企业自动化场景中表现更优。（198字）

## 正文

Introducing computer use in Gemini 3.5 Flash

Computer use is now a built-in tool in Gemini 3.5 Flash to build agents that can interact across platforms.

Mateo Quiros

Computer use is now a built-in tool supported in Gemini 3.5 Flash, delivering our best performance yet for agentic computer use tasks. Previously only available as a standalone Gemini 2.5 computer use model, computer use is now integrated natively in the main Gemini Flash model. Gemini already excels at function calling and using built-in tools like Search and Maps grounding. With built-in computer use capability, developers can now use 3.5 Flash to reliably build custom agents that can see, reason and take action across browser, mobile and desktop environments. This unlocks improved performance for long-horizon and enterprise automation tasks like continuous software testing and knowledge work across professional applications.

Developers and enterprises can start using computer use in 3.5 Flash via the Gemini API and Gemini Enterprise Agent Platform.

3.5 Flash uses computer use to analyse the Gemini app and return a categorized list of features.

3.5 Flash with computer use audits its own documentation for accessibility issues.

Making computer use safe in 3.5 Flash

To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to:

Require explicit user confirmation for sensitive or irreversible actions.

Automatically stop tasks if an indirect prompt injection is identified.

Taking a “defense-in-depth” approach, we encourage developers to combine these features with secure sandboxing, human-in-the-loop verification and strict access controls. Additional information on safety measures can be found in our best practices documentation.

We are already seeing customers drive value with computer use. Here’s what some of them have to say:

To start building with computer use today:

Try it now: Test the capabilities in a demo environment hosted by Browserbase.

Start building: Dive into our reference implementation and documentation via Gemini API and Gemini Enterprise Agent Platform.