AI Agents周刊:Gemini 4 Argon与OpenAI Dots发布
🤖 AI Agents Weekly: Gemini 4 Argon, OpenAI Dots, GPT-6.1 Sol, Claude Sonnet 5.5, Pi 1.0, Claude Code Mods, and More
In today’s issue:
本期内容:
- Google unveils Gemini 4 Argon
- OpenAI launches always-on dots
- OpenAI ships GPT-6.1 Sol
- Anthropic launches Claude Sonnet 5.5
- Earendil ships Pi 1.0 and Pi Durable
- Claude Code adds mods
- DeepSeek open-sources its agent harness
- Manus 2.0 runs on Cascade
- Schema hits 99.2% on ARC-AGI-3
- OpenAI refreshes the Codex CLI
- Google 发布 Gemini 4 Argon
- OpenAI 推出常驻运行的 Dots
- OpenAI 发布 GPT-6.1 Sol
- Anthropic 发布 Claude Sonnet 5.5
- Earendil 发布 Pi 1.0 和 Pi Durable
- Claude Code 新增 Mods 功能
- DeepSeek 开源其 Agent Harness
- Manus 2.0 基于 Cascade 运行
- Schema 在 ARC-AGI-3 上达到 99.2%
- OpenAI 更新 Codex CLI
And all the top AI dev news, papers, and tools.
以及所有顶级 AI 开发新闻、论文和工具。
Top Stories
头条新闻
Gemini 4 Argon
Google DeepMind introduced Gemini 4 Argon, its new frontier model for long-horizon coding, enterprise knowledge work, and cyber defense. It is rolling out first to trusted cyber defenders through the Fairwind Program, with paid API customers and Google AI Ultra subscribers next.
Google DeepMind 推出了 Gemini 4 Argon,这是其面向长周期编码、企业知识工作和网络防御的新前沿模型。该模型首先通过 Fairwind Program 向受信任的网络防御者开放,随后将向付费 API 客户和 Google AI Ultra 订阅用户开放。
- Agentic coding: Argon sets a new state of the art on DeepSWE v1.1 at 77.9%. Inside Google, Argon agents are migrating C/C++ codebases to Rust, up to over 800K lines for the Fuchsia Zircon kernel, and rewrote 32K lines of SIMD code in libgav1 into a memory-safe decoder 2.7x faster than the earlier Rust port.
- Knowledge work: It leads the Vals Index and ranks first on Zapier’s AutomationBench at 51.3%, and scores 91.7% on LVBench for long video understanding.
- 1M output tokens: The output limit rises from 64K to 1M tokens, so the model can work through hundreds of thousands of tokens in a single trajectory.
- Cyber defense: Argon can find, validate, and patch vulnerabilities on its own and ties for first on CWE-bench v1 at 68%. Trusted defenders get it without cyber guardrails, and Google monitors its chain-of-thought and actions and stops execution when needed.
- Pricing: The introductory price is $2 input and $10 output per million tokens with 95% off cached input, rising to $4 and $20 afterward.
- 智能体编码:Argon 在 DeepSWE v1.1 上创下 77.9% 的新纪录。在 Google 内部,Argon 智能体正在将 C/C++ 代码库迁移至 Rust,涉及 Fuchsia Zircon 内核超过 80 万行代码,并将 libgav1 中 3.2 万行 SIMD 代码重写为内存安全解码器,速度比之前的 Rust 移植版本快 2.7 倍。
- 知识工作:它在 Vals Index 中排名第一,在 Zapier 的 AutomationBench 中以 51.3% 的成绩位居榜首,并在 LVBench 长视频理解测试中获得 91.7% 的高分。
- 100 万输出 Token:输出限制从 64K 提升至 1M Token,使模型能够在单次推理中处理数十万个 Token。
- 网络防御:Argon 能够自主发现、验证并修补漏洞,在 CWE-bench v1 上与第一名并列,得分为 68%。受信任的防御者可以在没有网络安全护栏的情况下使用它,而 Google 会监控其思维链和操作,并在必要时停止执行。
- 定价:入门价格为每百万 Token 输入 $2、输出 $10,缓存输入享受 95% 折扣,之后价格将调整为输入 $4、输出 $20。
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OpenAI Dots
OpenAI introduced dots, always-on agents powered by GPT-6 Astra that run on their own cloud computer, learn from feedback, and keep working toward your goals in the background. They are rolling out in ChatGPT to Pro and Business Premium users in eligible markets, and Enterprise admins can enable a beta.
OpenAI 推出了 Dots,这是一种由 GPT-6 Astra 驱动的常驻智能体,运行在其专属的云计算机上,能够从反馈中学习,并在后台持续为实现你的目标而努力。它们正在向符合条件的市场中的 ChatGPT Pro 和 Business Premium 用户开放,企业管理员可以启用 Beta 版本。
- Own computer: Each dot has its own cloud computer and browser, connects to over 4,000 apps through plugins, and can run several projects at once. You can open its computer to inspect the work or give it permission to use your laptop.
- Where you work: You can message or call your dot in ChatGPT on desktop, web, and mobile, or reach it in Slack and Teams, and it carries context across every channel. It can also start and manage tasks in Codex and ChatGPT Work.
- Developer workflow: In OpenAI’s example, a dot watches customer feedback, scopes small fixes, builds and tests them, and brings back complete PRs with videos of the changes.
- Controls: Built-in rules decide when a dot acts on its own and when it asks first, and Custom Rules let you allow, require approval for, or block specific actions. Background research runs with read-only tools, and a monitoring system can pause or stop a dot’s work.
- Specialist dots: OpenAI is previewing dots with their own identity and credentials for well-defined roles inside organizations, starting with enterprise pilots and a planned integration with Microsoft Agent 365.
- 自有计算机:每个 Dot 都拥有自己的云计算机和浏览器,通过插件连接超过 4,000 个应用程序,并且可以同时运行多个项目。你可以打开它的计算机界面检查工作,或授权它使用你的笔记本电脑。
- 您的工作场所:您可以在桌面端、网页端和移动端通过 ChatGPT 向您的 dot 发送消息或拨打电话,也可以在 Slack 和 Teams 中联系它,并且它能跨所有渠道保持上下文。它还能够在 Codex 和 ChatGPT Work 中启动和管理任务。
- 开发者工作流:在 OpenAI 的示例中,一个 dot 会监控客户反馈,界定小型修复范围,构建并测试这些修复,然后带回包含变更视频的完整 PR(Pull Request)。
- 控制机制:内置规则决定 dot 何时自主行动以及何时先征求同意,自定义规则则允许您允许、要求批准或阻止特定操作。后台研究使用只读工具运行,监控系统可以暂停或停止 dot 的工作。
- 专家型 dot:OpenAI 正在预览具有自身身份和凭证的 dot,用于组织内定义明确的角色,从企业试点开始,并计划与 Microsoft Agent 365 集成。
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