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In June @NaderLikeLadder emailed Jensen about a crazy idea we had over dinner to make Local AI 10x better on NVIDIA hardware. Jensen replied in 7 minutes. He saw this as important work, and approved a war room for us to work on this at NVIDIA HQ. For a month, NVIDIA HQ was the @exolabs satellite office. We were overwhelmed by the support we got. We were back to back the first week with smart NVIDIANs coming in to our war room to help us. Creators of CUDA, Dynamo, people who built NVIDIA. Long story short with NVIDIA we managed to improve their Local AI playbooks by 9.6x (almost the 10x goal we set out with). We’ll be publishing a whitepaper on this work. We were just a small startup with a crazy idea. Jensen took a bet on us. Jensen cares deeply about Open Source AI and Local AI. I don't believe Jensen is replaceable, he's a 1 of 1 human, but I hope NVIDIA will continue to aggressively support Open Source AI and Local AI, and continue to take bets on small startups with crazy ideas. Thank you Jensen

2/2 in the Europa League qualifiers✅ @Polymarket delivered again. ✅ Derry City 1:2 CSKA Sofia – Both Teams to Score ✅ Universitatea Cluj 0:0 Dynamo Kyiv (Dynamo won on penalties) – Under 2.5 Goals A clean sweep. On to the next slate.

Every AI response you've ever gotten started with an electron. ⚡ In a recent interview with Sequoia Capital, Jensen Huang described AI infrastructure as a five-layer cake, and at the very bottom, before chips, before data centers, before models, is energy. That's the binding constraint on the Intelligence Age: not compute, not software — watts. This is why NVIDIA calls AI factories the dynamos of our era. They take in electrons and send out tokens of intelligence. We're a few hundred billion dollars into what Jensen calls the largest infrastructure buildout in human history. Trillions more to go. The question isn't whether AI will scale. It's whether the energy grid can keep up. ⬆️

Every story is different. Every story matters. For 5 years, Max Elizalde built Binance communities in LATAM. From volunteer to mentor, his bootcamp program went global, winning him Local Community Dynamo (Americas & LATAM) at the 2025 Binance Angels Awards!

最近读 Paul David 1990 年那篇经典文章《The Dynamo and the Computer》，反而更能理解今天很多人的 AI 焦虑。 当年电力出现后，工厂生产率没有立刻暴涨。 原因很简单：很多工厂只是把蒸汽机换成电动机，但整套生产方式、机器布局、管理流程，仍然停留在旧时代。 真正的变化，要等到工厂重新设计，机器独立驱动，流程重新组织之后，才慢慢释放出来。 这和今天的 AI 很像。 很多人焦虑，是因为模型进步太快了。新模型、新 Agent、新工具，每隔几天就刷屏一次。于是我们很容易产生一种错觉： 技术已经冲到未来了，我却还停在原地。 但问题可能没有那么简单。 AI 的真正影响，不会只来自「模型更聪明」。它还要等工作流、组织结构、教育方式、协作模式一起变化。 现在很多公司和个人，其实还在把 AI 塞进旧流程里。 以前写周报，现在让 AI 写周报。 以前开很多会，现在让 AI 总结会议。 以前复制粘贴资料，现在让 AI 帮你复制粘贴得更快。 这当然有用，但还没有真正改变「工厂」。 所以 AI 时代的核心问题，也许不是「我会不会被替代」，而是： 我现在的工作方式，有多少还停留在旧的皮带轴系统里？ 焦虑不能完全消失，但它可以被重新理解。 如果 AI 真的像电力一样是通用技术，那我们现在经历的，可能不是终局，而是混乱的重组期。 真正值得关注的，不只是下一个模型有多强，而是谁能先学会重新设计自己的工作流。 个人如此，公司也是如此。

Atlassian上季度收入17.9亿美元。然后他们把搭这套基础设施的工程师给裁了。 这哥们被裁之后干了件事：直接放出一段38分钟的视频，把他搭过的每一个系统拆解得明明白白，免费公开，谁都能拿去用。 他抖出来的东西包括： · 用Envoy代理，而不是企业级负载均衡器 · 边车架构，统一处理认证、日志、限流 · DynamoDB配SQS，做异步配置 · Packer加SaltStack，大规模自动化部署虚拟机 Atlassian有35万客户，按人头收费。这哥们直接把企业级的全套玩法白送给你了。 收藏吧。

Amazon Web Services (AWS) says it will take several months to fully restore its cloud services in the Middle East. The data centers in the UAE and Bahrain were badly damaged by incidents in early March, this affected many key services, including EC2, S3, DynamoDB, and RDS. In an update, AWS said some repairs have been done, but the work is taking a long time because the damage to the buildings and equipment is very serious. Customers are asked to move their important work to other regions right away and use their disaster recovery plans with backups stored somewhere else.