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We gave people tiny computers at Code with Claude. Here are some of the small, delightful things they built: Video

Gemini Intelligence features will roll out in waves starting with the latest Samsung Galaxy and Google Pixel phones this summer, and across Android devices including your watch, car, glasses & laptops later this year! blog.google/products-and-pla…

We're excited to announce our partnership with @MiniMax_AI! Read more at getlilac.com/blog/minimax-m2…

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There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

SF builders — last call. May 16–17: join the Notion team to build on our new Developer Platform. Sync data into Notion, tool-enabled agents, triggers anywhere. No servers. Just a CLI + your ideas. With support from @OpenAI @AnthropicAI @vercel @MiniMax_AI @PlanetScale Grab your spot: luma.com/fyuf7?utm_source=af…

📣 What if every open issue had a Codex agent? That’s the idea behind Symphony, an open-source agent orchestrator for Codex that turns task trackers into always-on systems for agentic work, letting humans focus on review and direction. Video

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NOW LIVE: The 2026 State of Main Street report We had so much fun making this for the SMB community. Inside: >Analysis of SBA financing data from the @SBAgov >Survey data from hundreds of business buyers @Contrarian >Data on America's ownership succession gap >An inside look at Main Street tech and AI with @Replit >The future of the trades and small biz with @trycents @HaulerHero @ResiBrands and Drillbit Read it here while available: info.contrarianthinking.co/m…

We’re reimagining a 50-year-old interface - the mouse pointer - with AI. 🖱️ These experimental demos show how people can intuitively direct Gemini on their screens using motion, speech, and natural shorthand to get things done 🧵 Video

There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

读了一篇叫HeavySkill的论文，非常有意思。 让多个 AI先并行“独立思考”，生成多条独立推理。 再用另一轮推理来综合所有思路，得出最终答案。 按论文测试结果，回答质量会提升非常多。 正在按这个思路写一个Skill，Claude Code推理，Codex当主持人，看看效果。 blog.qiaomu.ai/heavyskill-he…

读了一篇叫HeavySkill的论文，非常有意思。 让多个 AI先并行“独立思考”，生成多条独立推理。 再用另一轮推理来综合所有思路，得出最终答案。 按论文测试结果，回答质量会提升非常多。 正在按这个思路写一个Skill，Claude Code推理，Codex当主持人，看看效果。 blog.qiaomu.ai/heavyskill-he…

For Codex, we’ve been thinking about keeping a stable release cadence and have a larger release each week on Thursday. That does make the start of the week and bit less exciting. Thoughts?

我给每个下属都配了一个专属 Agent，跑在飞书上。现在是他们的 Agent 在跟我的 Agent 对话，我在旁边看着。 带团队这些年，我最大的感受不是累，是碎。 各种项目要跟，各种进展要盯，各种需求要确认。AI 让每个程序员的产出翻了好几倍，活多了，事也多了，人还是那几个。 有一天我看着 Claude Code 自己把一个功能从需求写到上线，然后转头看了眼飞书群，纪要要人整理，进展要人跟，审批堆着等人看。开发层已经 AI 化了，协作层还是原始人。 正好发现飞书 CLI 过去一个月悄悄更新了 100 多条能力，很多上个月还不存在的东西，现在已经可以用了。我就开始动手改。

🚨 There's a major attack going on via npm right now. Do not install any packages right now. Talk to your agent ASAP and check if you're vulnerable or have been compromised. This is urgent ‼️

读了一篇叫HeavySkill的论文，非常有意思。 让多个 AI先并行“独立思考”，生成多条独立推理。 再用另一轮推理来综合所有思路，得出最终答案。 按论文测试结果，回答质量会提升非常多。 正在按这个思路写一个Skill，Claude Code推理，Codex当主持人，看看效果。 blog.qiaomu.ai/heavyskill-he…