AI 行业简报 2026-05-25

Everyone is navigating AI security in real time — even Google

Everyone is navigating AI security in real time — even Google。先放在观察位，等更多证据出现后再判断它的行业分量。

大规模工程支撑场景下的多智能体系统设计：Grab 实践案例

大规模工程支撑场景下的多智能体系统设计：Grab 实践案例。看点在产品自动化：能不能把工具调用、权限和结果校验做成可靠闭环。

"We used to say build the MVP. Now you should build the system that builds the MVP first." Here's my new episode with @ryancarson where he shared how he runs his startup solo with AI agents: ✅ OpenClaw as his AI chief of staff to triage emails, book meetings, and do sales outreach ✅ Codex and Devin as his AI eng team to ship features while he sleeps Some quotes from Ryan: "Spend a lot of time upfront setting up your skills + documentation. Then you've suddenly unlocked the work of 10 people." "Treat your agent like a real employee. Give it a real email address, calendar access, and GitHub account." "Pay a designer to set up your design system and brand. After that, you can use AI to generate on-brand assets." 📌 Watch now: https://t.co/Slc5cEkFGQ Thanks to our sponsors: @WisprFlow: Don't type, just speak https://t.co/oqHJ8bN3ll @linear: The AI agent platform for modern teams https://t.co/yFylGfkenJ

译文“我们过去常说‘先做 MVP’。现在你应该先构建一个能生成 MVP 的系统。” 这是我和 @ryancarson 的最新一期节目，他分享了如何独自借助 AI 智能体运营初创公司： ✅ 使用 OpenClaw 作为 AI 幕僚长，负责筛选邮件、安排会议和进行销售外联 ✅ 使用 Codex 和 Devin 作为 AI 研发团队，在他休息时也能持续交付功能 Ryan 的一些核心观点： “前期花大量时间配置好技能库与文档。之后你就能瞬间释放出相当于 10 个人的生产力。” “把你的智能体当成真正的员工。给它分配真实的邮箱、日历权限和 GitHub 账号。” “花钱请设计师搭建好设计系统与品牌规范。之后你就可以用 AI 生成符合品牌调性的素材。” 📌 立即观看：https://t.co/Slc5cEkFGQ 感谢赞助商： @WisprFlow：无需打字，直接语音 https://t.co/oqHJ8bN3ll @linear：面向现代团队的 AI 智能体平台 https://t.co/yFylGfkenJ

CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.

OpenAI being more open Also I just realized recently that Codex is open source https://t.co/ngBc1lrF7c

译文OpenAI 正变得越来越开放 另外我最近才意识到 Codex 是开源的 https://t.co/ngBc1lrF7c

my main takeaway from the Bun rewrite is that legacy codebases will be incredibly valuable as a source for "distilling" code into new forms every game should be crossplatform, all legacy software should work on the web, we don't need COBOL anymore

Is AGI already here? "I think if we froze the models that we have right now and you really worked on the harness and maybe we also spent more time training with a great harness, I think people would really feel the AGI in every single domain" - @yanndubs of @OpenAI https://t.co/amFrnChXkC https://t.co/nGv05BVzMI

译文AGI 已经到来了吗？ “我认为，如果我们冻结现有模型，全力优化评估框架，并投入更多时间配合优质框架进行训练，人们将在各个领域真切感受到 AGI 的存在。”—— @OpenAI 的 @yanndubs https://t.co/amFrnChXkC https://t.co/nGv05BVzMI

to be clear I don't think the models are quite there yet, Bun is extremely verifiable and has incredible test coverage but I think they will get there