July 2025
Beginner to intermediate
10 pages
5m
Chinese
Content preview from 雷达趋势观察：2025年7月
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2025 年 7 月 1 日
尽管法院系统正在审理许多版权案件，但我们现在从其中一个案件中获得了一项重要判决。威廉-阿尔苏普（William Alsup）法官裁定，将受版权保护的材料用于培训是 "变革性 "的，因此属于合理使用；将书籍从印刷形式转换为数字形式属于合理使用；但将盗版书籍用于建立人工智能培训图书馆则不属于合理使用。
现在，每个人都在努力构建智能代理，我们必须认真思考代理安全问题--这就成了双重问题，因为我们已经对人工智能安全和 prompt injection 等问题思考得不够了。西蒙-威利森（Simon Willison）创造了 "致命三要素"（lethal trifecta）一词，用来描述使代理安全变得尤为困难的问题组合：访问私人数据、接触不受信任的内容以及与外部服务通信的能力。
人工智能
- 研究人员对一个模型进行了微调，以查找包含防止向黑人和其他少数民族出售房屋的语言的契约。他们的研究表明，截至 1950 年，圣克拉拉县大约有四分之一的地契包含此类语言。这项研究需要分析数百万份契约，比人类分析的数量要多得多。
- 谷歌发布了现场音乐模型Magenta RT。该模型旨在实时合成音乐。虽然有一些限制，但可以在Hugging Face和GitHub 上获得权重和代码。
- OpenAI发现，可以对产生错位角色的模型进行重新训练，使其行为恢复一致。
- Gemini 2.5 的 Flash 版和专业版已经全面上市。谷歌还推出了 Gemini 2.5 Flash-Lite 的预览版，该版本专为低延迟和低成本而设计。
- lowbackgroundsteel.ai网站旨在作为人工智能前内容（即人工智能无法生成的内容）的存储库。
- 吊桥要架起了吗？德鲁-布吕尼格（Drew Breunig）将人工智能的现状与 Web 2.0 进行了比较，当时 Twitter 等公司开始限制开发者连接到它们的平台。德鲁指出，Anthropic切断了Windsurf，Slack阻止他人搜索或存储信息，谷歌在Meta投资后切断了与Scale的联系。
- 西蒙-威利森（Simon Willison）创造了"致命三连击"（lethal trifecta）一词来描述人工智能代理的危险漏洞。私人数据、不受信任的内容和外部通信这三者的结合产生了致命的三连击。
- 两篇新论文《保护 LLM 代理免受 prompt 注入的设计模式》和《谷歌安全 AI 代理的方法》探讨了代理中的 prompt 注入和其他漏洞问题。Simon Willison 的总结 非常出色。提示注入仍是一个尚未解决（也许是无法解决）的问题，但这些论文显示了一些进展。
- 谷歌的 NotebookLM 可以根据人工智能概述将搜索结果变成播客。该功能并非默认启用，而是搜索实验室的一项实验。请注意--收听搜索结果可能会很有趣，但却会让你离实际结果越来越远。
- 人工智能芭比娃娃？我一定要看看。或者不看也行。
- Institutional Books是一个用于训练 LLMs 的 242B token 数据集。它是根据哈佛大学图书馆中的公共领域/非版权书籍创建的。它包括 250 多种语言的 100 多万册图书。
- Mistral 推出了他们的首个推理模型Magistral，有两个版本：一个小型版本（开源，24B）和一个面向企业的封闭式中型版本。该公告强调了可追溯推理（适用于法律、金融和医疗保健等应用）和创造性。 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.