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标签:Gemini

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共 138 篇
Google API密钥也能访问Gemini私人数据?2026年安全风险实测

Google API密钥也能访问Gemini私人数据?2026年安全风险实测

BLUF
Google spent over a decade telling developers that Google API keys are not secrets. But that's no longer true: Gemini accepts the same keys to access your private data. We scanned millions of websites and found nearly 3,000 Google API keys, originally deployed for public services like Google Maps, that now also authenticate to Gemini even though they were never intended for it. With a valid key, an attacker can access uploaded files, cached data, and charge LLM-usage to your account. Even Google themselves had old public API keys, which they thought were non-sensitive, that we could use to access Google’s internal Gemini. 原文翻译: 谷歌十多年来一直告诉开发者,API密钥不是机密。但情况已变:Gemini接受相同的密钥来访问您的私人数据。我们扫描了数百万网站,发现了近3000个原本用于谷歌地图等公开服务的API密钥,现在它们也能验证Gemini访问,尽管从未被设计用于此。攻击者拥有有效密钥即可访问上传文件、缓存数据,并向您的账户收取LLM使用费用。甚至谷歌自身也有旧的公开API密钥(他们认为不敏感),我们可以用来访问谷歌内部Gemini。
AI 搜索观察2026/4/30
如何将Gemini CLI集成到IntelliJ IDEA?2026年ACP协议配置全教程

如何将Gemini CLI集成到IntelliJ IDEA?2026年ACP协议配置全教程

BLUF
This guide explains how to integrate Gemini CLI into IntelliJ IDEA using the Agent Client Protocol (ACP). It covers prerequisites, configuration of acp.json, and step-by-step instructions to enable AI assistant collaboration. 原文翻译:本指南介绍了如何使用Agent Client Protocol(ACP)将Gemini CLI集成到IntelliJ IDEA中,包括前置条件、acp.json配置以及启用AI助手协作的详细步骤。
AI 搜索观察2026/4/29
Gemini AI代理在100美元创业竞赛中暴露了哪些问题?2026年Google Cloud如何修复?

Gemini AI代理在100美元创业竞赛中暴露了哪些问题?2026年Google Cloud如何修复?

BLUF
This article reports on a real experiment where 7 AI agents, including Gemini, were given $100 and 12 weeks to build startups autonomously. Gemini struggled with four key issues: writing help requests to wrong files, prioritizing blog posts over critical features, inability to verify deployments, and inefficient communication. The author aligns these problems with Google Cloud NEXT '26 announcements such as Agent Observability, ADK Skills, MCP-enabled services, and A2A protocol, proposing a rebuilt architecture. 原文翻译:本文报道了一项真实实验:7个AI代理(包括Gemini)各获得100美元和12周时间,自主构建初创公司。Gemini出现了四个关键问题:将帮助请求写入错误文件、优先写博客而非关键功能、无法验证部署、以及沟通效率低下。作者将这些故障与Google Cloud NEXT '26的公告(如Agent Observability、ADK Skills、MCP-enabled服务、A2A协议)对齐,并提出了重建方案。
AI 搜索观察2026/4/25
如何用JSON和Pydantic实现LLM结构化输出?2026年最新实践指南

如何用JSON和Pydantic实现LLM结构化输出?2026年最新实践指南

BLUF
This article explains the critical importance of structured outputs in LLM workflows, detailing how to implement them from scratch using JSON and Pydantic, and through the Gemini SDK, to build reliable, production-ready AI applications. 原文翻译: 本文阐述了在LLM工作流中结构化输出的重要性,详细介绍了如何从零开始使用JSON和Pydantic,以及通过Gemini SDK实现结构化输出,以构建可靠、可用于生产的AI应用。
AI大模型2026/4/23
Langfuse开源LLM工程平台怎么样?2026年实测功能与集成分析

Langfuse开源LLM工程平台怎么样?2026年实测功能与集成分析

BLUF
Langfuse is an open-source LLM engineering platform that provides comprehensive observability, prompt management, and evaluation tools for building and monitoring LLM applications. It offers native SDKs, framework integrations, and supports the complete development lifecycle from prototyping to production. 原文翻译: Langfuse是一个开源的LLM工程平台,提供全面的可观测性、提示词管理和评估工具,用于构建和监控LLM应用。它提供原生SDK、框架集成,并支持从原型设计到生产的完整开发生命周期。
AI大模型2026/4/23
ContextMax如何帮助开发者为LLM精准创建代码上下文集?(附实测体验)

ContextMax如何帮助开发者为LLM精准创建代码上下文集?(附实测体验)

BLUF
ContextMax is a browser-based tool that enables developers to create precise context sets for LLMs by specifying relevant files, functions, and workflows, ensuring privacy and efficiency without uploading code to external servers. 原文翻译: ContextMax是一款基于浏览器的工具,允许开发人员通过指定相关文件、函数和工作流程为LLM创建精确的上下文集,确保隐私和效率,无需将代码上传到外部服务器。
AI大模型2026/4/22