Tibo@thsottiaux · 6月6日64

Codex papercuts 📉 Codex adoption 📈

译今天 Codex 的生活质量更新从设置开始。你现在可以搜索 Codex 设置，结果按类别分组，无需浏览每个部分即可找到要更改的内容——这使设置和自定义更加便捷。Codex 小修补 📉，Codex 采用率 📈。

OpenAI Developers@OpenAIDevs · 6月6日19

Developers told us building with Codex feels like flying. Go behind the build of Time to Fly 📷

译开发者告诉我们，用Codex构建就像在飞翔。 一探Time to Fly的构建过程📷

Emad@EMostaque · 6月6日73

This single deal is about the revenue of @CoreWeave to put it in perspective @SpaceX is the largest neocloud & its AI cloud revenue at $26b run rate is actually at the level of Google Cloud & AWS already, catching up to Azure ($37b run rate)

译SpaceX作为最大neocloud，其AI云收入年运行率已达260亿美元，与Google Cloud和AWS相当，正逼近Azure（370亿美元）。据SpaceX修订的S-1文件披露，其与谷歌签署大额协议：2026年10月至2029年6月每月9.2亿美元，双方可提前90天通知终止。Emad Mostaque指出，这一交易规模相当于CoreWeave的整个收入。

宝玉@dotey · 6月6日57

现在 Codex 的设置已经多到要靠搜索来解决了。 但是作为一个成熟的 Agent，难道交互不应该是在 Chat 里面说一句：“Hey Codex，帮我修改一下 XX 设置”？

Microsoft Research@MSFTResearch · 6月6日60

During the Inside Azure Innovations breakout at Build 2026, Microsoft Azure CTO, deputy CISO and technical fellow Mark Russinovich introduced Project Mosaic, an experimental optical interconnect technology from Microsoft Research Cambridge using micro-LEDs for low-power, high-speed data transmission. A live demo led by senior researcher Kaoutar Benyahya displays individual LED modulation forming letters, proving the concept’s real-time responsiveness. Check out Mark and Kaoutar starting @ 38:38: https://msft.it/6015vdhS9

译微软Azure CTO Mark Russinovich在Build 2026上介绍Project Mosaic，这是微软剑桥研究院的实验性光学互连技术，采用micro-LED实现低功耗、高速数据传输。高级研究员Kaoutar Benyahya现场演示单个LED调制形成字母，证明概念具备实时响应能力。

fofr@fofrAI · 6月6日44

Trying Omni image-to-video with this Krea K2 output to try making an anime intro sequence.

译尝试将这张Krea K2的输出用于Omni图像转视频，试图制作一段动漫开场序列。

OpenAI Developers@OpenAIDevs · 6月6日58

Today’s Codex quality-of-life updates start in settings. You can now search Codex settings, with results grouped by category, so you can find what you want to change without scanning every section – this makes setup and customization easier.

译今日的 Codex 生活质量更新从设置开始。 现在你可以搜索 Codex 设置，结果按类别分组，这样无需逐节浏览就能找到想要更改的项——这使设置和自定义更加便捷。

Chubby♨️@kimmonismus · 6月6日72

We are in for a wild ride, and this is just the beginning: 'World-first' vaccine designed by artificial intelligence Researchers at the University of Cambridge have trialled what they describe as the world’s first AI-designed vaccine component in humans. The vaccine uses an AI-designed “super-antigen” intended to train the immune system against a broad family of coronaviruses, including existing Covid variants and animal coronaviruses that could potentially cause future pandemics. Instead of designing a vaccine around one current virus strain, researchers fed AI genetic data from many known coronaviruses. The AI then designed an antigen meant to trigger immune protection across the whole virus family, even if the virus mutates or jumps from animals to humans. The first human trial involved 39 people and mainly tested safety. The immune response was described as modest, but the result is still seen as promising because it shows that an AI-designed vaccine antigen can be tested in humans. A larger study with around 200 people will now examine how well the vaccine actually trains the immune system.

译剑桥大学研究人员开展了据称全球首个AI设计疫苗成分的人体试验。该疫苗使用AI设计的“超级抗原”，旨在训练免疫系统对抗包括现有新冠变种及可能引发未来大流行的动物冠状病毒在内的广泛冠状病毒家族。首次人体试验仅39人，主要验证安全性。免疫反应虽属中等，但被视为有前景，证明AI设计的疫苗抗原可以在人体中测试。下一步计划进行约200人的更大规模研究。

Anthropic@AnthropicAI · 6月6日73

New Anthropic Science Blog: Making Claude a chemist. To manipulate a molecule, chemists first need to understand its structure. Their main tool is NMR spectroscopy. We found Opus 4.7 matches—and on some tasks beats—dedicated NMR software. Read more: https://www.anthropic.com/research/making-claude-a-chemist

译Anthropic 新科学博客：让 Claude 成为化学家。 要操纵分子，化学家首先需要了解其结构。他们的主要工具是 NMR 波谱分析。 我们发现 Opus 4.7 在部分任务上匹配甚至超越了专用 NMR 软件。了解更多：https://www.anthropic.com/research/making-claude-a-chemist

AI Notkilleveryoneism Memes ⏸️@AISafetyMemes · 6月6日51

Javier Milei plans to make Argentina a haven of unregulated "non-human corporations" run by AIs and robots

译Javier Milei 计划让阿根廷成为不受监管的、由 AI 和机器人运营的“非人类公司”的避风港。

Suno@suno · 6月6日36

How XINSAYNE and No Identity build experimental Hyperpop

译XINSAYNE 和 No Identity 如何制作实验性 Hyperpop

Perplexity@perplexity_ai · 6月6日69

Nemotron 3 Ultra is now available for Pro and Max subscribers on Perplexity and Computer. It's @nvidia's new open model built for long-running agents.

译Nemotron 3 Ultra 现已面向 Perplexity 和 Computer 上的 Pro 和 Max 订阅用户开放。 这是@nvidia 为长期运行的智能体打造的全新开源模型。

ChatGPT@ChatGPTapp · 6月6日54

Meet Hiroki-san (@tomiyasu16) who is running his farm in Japan with ChatGPT and Codex: https://chatgptpro.substack.com/p/hiroki-tomiyasu

译日本北海道农户Hiroki Tomiyasu（@tomiyasu16）从未学过农业、未继承土地，曾是公务员。他用ChatGPT和Codex自行构建工具运营100公顷农场：通过聊天APP远程控制温室通风口（ESP32板+电机驱动+Cloudflare Workers）；自动检测温度并开窗的机器人；卫星作物健康数据叠加农田地图；Airtable关联地块、任务、物料、传感器；从照片生成电控柜布线图。这些以前只有大型农企才能负担。

Chubby♨️@kimmonismus · 6月6日42

Next week(s) is going to be absolutely insane. We're seeing so much testing of the Claude Mythos derivative, because it's been given to red team members, that a release is really imminent. According to all the rumors, GPT-5.6 is also coming very soon, and I'm pretty sure OpenAI and Anthropic are trying to outdo each other. And then there's Google with Gemini 3.5 Pro, which was announced at I/O as being released in early June. So, in all likelihood, next week will see a quantum leap. Get ready, friends.

译据多方传言，Anthropic 的 Claude 衍生模型（Mythos）已交付红队测试，发布在即；OpenAI 的 GPT-5.6 也很快到来；Google 在 I/O 上宣布 Gemini 3.5 Pro 将于 6 月初发布。三大模型密集释出，下周或迎 AI 能力量子跃迁。

elvis@omarsar0 · 6月6日32

Find an important unsolved problem you care about. Then use AI to solve it. Go deep! Talk to people. Build a community. It might take you months or years, but always know that AI capabilities will only keep improving. Build for now and for the future.

译找到一个你关心的、重要的未解难题。 然后用AI去解决它。深入研究！与人交流。建立社区。 这可能需要几个月或几年，但始终要知道，AI的能力只会不断提升。 为当下和未来而构建。

elvis@omarsar0 · 6月6日67

Neat little tool! Ran my AI Wrapped, expecting to be humbled. Top 1%. Nice! I use coding agent all day for everything. Try it with `npx standout`

译不错的小工具！ 跑了一下我的 AI Wrapped，本以为会被打击。前 1%。不错！ 我整天都用编程智能体做所有事。 试试 `npx standout`

Tibo@thsottiaux · 6月6日77

Better memory = Shorter prompts = More utility per token

译更好的记忆 = 更短的提示词 = 每个token更高效用

eric zakariasson@ericzakariasson · 6月6日71

design mode must know shortcuts: Toggle: ⌘⇧D Tab → next sibling Shift+Tab → prev sibling Enter → first child Shift+Enter → parent Add to chat: ⌘L Drag → box/scribble Shift+click → multi-select Alt+click → add to chat

译设计模式必知快捷键： 切换：⌘⇧D Tab → 下一个同级元素 Shift+Tab → 上一个同级元素 Enter → 第一个子元素 Shift+Enter → 父元素 添加到聊天：⌘L 拖拽 → 框选/涂鸦 Shift+点击 → 多选 Alt+点击 → 添加到聊天

Replit ⠕@Replit · 6月6日34

Luca (@agi2asi) built Grid to centralize 12 different Google Drives into one hub. With Replit, he turned a prompt into an AI-powered employee hub in just 10 minutes. Now, team members can ask about anything from seating charts to expense policies. Always Be Building.

译Luca (@agi2asi) 构建了 Grid，将 12 个不同的 Google Drive 集中到一个中心中。 借助 Replit，他在 10 分钟内将一个提示词变成了一个 AI 驱动的员工中心。现在，团队成员可以询问从座位表到费用政策的任何事项。 始终构建。

🚨 AI News | TestingCatalog@testingcatalog · 6月6日56

MICROSOFT 🔥: Early look at Microsoft Scout Agent for Microsoft Frontier users. Scout agent is designed for work use cases and was recently revealed at Microsoft Build 2026. Features 👀 > Models from OpenAI and Anthropic, including GPT-5.5 and Claude Opus 4.7 > Multi-step automations with support for browser use. > Co-Create, an open canvas where users can collaborate with AI and export outputs as documents. > Deep integration with Microsoft Teams > Daily Briefing that summarises work context across connected services. > Skills support, document generation, coding capabilities, and all that. > Both macOS and Windows apps are available. It would be quite a decent tool for Windows users! Yet, it is only for Frontier. Looking forward to testing their super app too.

译微软在Microsoft Build 2026上为Frontier用户推出Scout Agent工作用AI智能体。该Agent可调用OpenAI和Anthropic模型（包括GPT-5.5和Claude Opus 4.7），支持多步骤自动化（含浏览器操作）、Co-Create协作画布（可导出文档）、深度集成Teams、每日简报跨服务汇总工作上下文，以及技能、文档生成和编码能力。目前提供macOS和Windows应用，但仅限Frontier用户使用。

Chubby♨️@kimmonismus · 6月6日71

Google DeepMind released new Gemma 4 QAT models that make the model family much more efficient for local, on-device use. Using Quantization-Aware Training, the models are trained with compression in mind, which reduces memory needs while preserving more quality than standard post-training quantization. The release includes support for the popular Q4_0 format and a new mobile-specialized quantization format. Gemma 4 E2B can now run with around 1GB of memory (!), and the text-only version can even require less than 1GB (!). That makes local AI on phones, laptops, edge devices, and consumer GPUs far more practical. Really cool to see.

译Google DeepMind 发布 Gemma 4 QAT 量化感知训练模型，专为本地 / 设备端优化。通过量化感知训练减少内存占用，同时相比标准训练后量化保留更多质量。支持 Q4_0 格式及新的移动专用量化格式。Gemma 4 E2B 版本可运行于约 1GB 内存，纯文本版本甚至低于 1GB，使手机、笔记本、边缘设备和消费级 GPU 上的本地 AI 更实用。

Chubby♨️@kimmonismus · 6月6日47

Next week(s) is going to be absolutely insane. We're seeing so much testing of the Claude Mythos derivative, because it's been given to red team members, that a release is really imminent. According to all the rumors, GPT-5.6 is also coming very soon, and I'm pretty sure OpenAI and Anthropic are trying to outdo each other. And then there's Google with Gemini 3.5 Pro, which will be announced at I/O as being released in early June. So, in all likelihood, next week will see a quantum leap. Get ready, friends.

译分析师 Kim 预测下周将迎来 AI 模型密集发布。Anthropic 的 Claude Mythos 衍生模型已交付红队测试，发布在即；OpenAI 的 GPT-5.6 也即将推出，两公司正激烈竞争；Google 则将在 I/O 大会上宣布 Gemini 3.5 Pro，预计 6 月初上线。三大模型有望在下周实现量子级跃升。

Tibo@thsottiaux · 6月6日24

I meant `uv add openai-codex`. Obviously.

译我意思是 `uv add openai-codex`。显然是这样。

宝玉@dotey · 6月6日65

Cursor 也支持在浏览器端标记 UI 了，这样修改 UI 起来就方便多了

宝玉@dotey · 6月6日74

感谢 @Teknium 合并了 PR，现在 Hermes Agent Desktop 支持中文了，还不够完整，会继续贡献 PR，以及修复一些因此带来的错误。

Michael Truell@mntruell · 6月6日80

Working with agents should feel like working with a colleague. You should be able “speak to” them not just with text chats, but by gesturing at a screen together, talking live, etc.

译与 AI 智能体协作应感觉像与同事协作一样。你应能“与它们交谈”——不仅通过文本聊天，还能一起对着屏幕做手势、实时对话等。

OpenRouter@OpenRouter · 6月6日71

Live on OpenRouter: Riverflow 2.5 from @riverflow_ai The first image model with an independent scoring rubric you control to guide its thinking and editing, with controllable reasoning effort to trade speed for quality. Free until Tuesday June 9. Fast and Pro below 🧵

译Live on OpenRouter: Riverflow 2.5 来自 @riverflow_ai 首个拥有独立评分标准的图像模型，你可以控制该标准来引导其思考与编辑，并可通过调节推理投入在速度与质量之间权衡。 免费至6月9日周二。Fast 与 Pro 见下方🧵

Logan Kilpatrick@OfficialLoganK · 6月6日12

We are exploring doing a Google Summer of Building to help students, early career builders, and more get the most out of AI tools. Does this sound cool to you and should we do it?

译我们正在探索做一个Google Summer of Building，以帮助学生、早期职业开发者等更好地利用AI工具。 你觉得这听起来酷吗？我们应该做吗？

jason@jxnlco · 6月6日63

wow its @tomiyasu16 https://x.com/itsolelehmann/status/2062840689415905369?s=46

译日本北海道前公务员 @tomiyasu16 从未学过农业，也未继承土地，利用 OpenAI 的 Codex 自行构建了 100 公顷西兰花农场的全套自动化工具：通过 ESP32、电机驱动器和 Cloudflare Workers 从聊天 App 远程控制温室通风；自动检测温度并开窗；将卫星作物健康数据叠加在地图上；用 Airtable 关联地块、任务、材料和传感器；从照片生成配电盘接线图。这些此前只有大型农业企业才能负担的工程，被他用一台笔记本和 Codex 开发成功。

Replit ⠕@Replit · 6月6日34

Luca built Grid to centralize 12 different Google Drives into one hub. With Replit, he turned a prompt into an AI-powered employee hub in just 10 minutes. Now, team members can ask about anything from seating charts to expense policies. Always Be Building.

译Luca 构建了 Grid，将 12 个不同的 Google Drive 集中到一个中心。 借助 Replit，他只需 10 分钟就将一个提示词变成了 AI 驱动的员工中心。现在，团队成员可以询问从座位图到费用政策的任何问题。 Always Be Building.

宝玉@dotey · 6月6日52

这次批量封号应该只是意外

Nathan Lambert@natolambert · 6月6日10

Recording more post-training lectures with my favorite student

译正在和我最喜欢的学生录制更多后训练讲座。

Nathan Lambert@natolambert · 6月6日11

How it's going  💚

译询问能否以个人身份加入NVIDIA Nemotron Coalition。进展如何💚

Google AI@GoogleAI · 6月6日78

Here’s this week’s shipping recap 👇 — Nano Banana 2 & Nano Banana Pro are now GA and available via the Gemini Enterprise Agent Platform, Gemini API, and in @GoogleAIStudio —Co-Scientist, our new multi-agent system for structured scientific thinking, generates and refines novel hypotheses to solve complex scientific problems — dreambeans from @GoogleLabs works overnight to curate a personalized daily collection of topics that are relevant to you based on your connected Google apps — @GoogleGemma 4 12B, our unified encoder-free model, brings powerful multimodal intelligence straight to your laptop fully offline — Gemma 4 models and their drafters are now optimized with Quantization-Aware Training (QAT) to cut memory requirements and maximize on-device performance — @GoogleMagenta RealTime 2 is our open-weights live music model that you can play like an instrument using a MIDI keyboard, text prompts, and gestures

译Google AI 本周发布多项更新：Nano Banana 2 及 Pro 正式 GA，可通过 Gemini Enterprise Agent Platform、Gemini API 和 Google AI Studio 获取；Co-Scientist 多智能体系统面向科研自动生成优化新假设；Google Labs 推出 dreambeans，根据用户 Google 应用数据每日生成个性化话题集；Gemma 4 12B 统一无编码器多模态模型可完全离线运行于笔记本；Gemma 4 系列及草稿模型引入 QAT 降低内存需求；Google Magenta RealTime 2 开源实时音乐模型，支持 MIDI 键盘、文本提示和手势演奏。

ChatGPT@ChatGPTapp · 6月6日68

Draft it. Tweak it. Send it. You can now send emails directly from writing blocks in ChatGPT on the web, without leaving the conversation.

译草拟。调整。发送。 现在你可以在网页版 ChatGPT 中直接从写作块发送邮件，无需离开对话。

OpenRouter@OpenRouter · 6月6日60

Live on OpenRouter: Riverflow 2.5 from @Sourceful. The first image model with an independent scoring rubric you control to guide its thinking and editing, with controllable reasoning effort to trade speed for quality. Free until Tuesday June 9. Fast and Pro below 🧵

译在OpenRouter上线：来自@Sourceful的Riverflow 2.5。 首个具有独立评分标准的图像模型，你可控制该标准以引导其思维和编辑，并具备可控的推理努力，可在速度与质量之间进行权衡。 免费至6月9日（周二）。Fast和Pro见下方🧵。

Replit ⠕@Replit · 6月6日68

Have you tried the new Replit Canvas? - Create beautiful UI designs with AI - Generate assets with GPT-Image 2 & Seedance - Turn your designs into launch-ready apps in minutes

译你试过新的 Replit Canvas 了吗？ - 用 AI 创建美观的 UI 设计 - 使用 GPT-Image 2 & Seedance 生成素材 - 几分钟内将你的设计转化为可发布的应用

Jim Fan@DrJimFan · 6月6日71

NitroGen just won CVPR Best Paper Honorable Mention!! We are making strides towards general-purpose embodied agents that master not only the real world physics, but also all possible physics across a multiverse of simulations. It’s been 4 years since MineDojo, our first embodied agent in Minecraft, won NeurIPS Best Paper. Congrats to everyone on the team!!

译NitroGen 刚刚获得 CVPR 最佳论文荣誉提名！！我们正在朝着通用具身智能体迈进，不仅掌握真实世界的物理规律，还能掌握模拟多元宇宙中所有可能的物理规律。 距离我们的第一个 Minecraft 具身智能体 MineDojo 获得 NeurIPS 最佳论文奖已经过去 4 年了。祝贺团队里的每一位！！

SemiAnalysis@SemiAnalysis_ · 6月6日57

We fundamentally disagree with the communist committee-style “Nemotron Coalition” approach to developing OSS models, and we do not believe that is the right path for model development. For OSS models, our team will only use capitalist, free-market-driven Chinese models like Kimi, DeepSeek V4, GLM-5, Qwen, MiniMax, etc. (1/2)🧵

译我们从根本上不同意共产主义委员会式的“Nemotron Coalition”方法来开发开源模型，并且我们不认为这是模型开发的正确路径。对于开源模型，我们的团队将只使用资本主义、自由市场驱动的中国模型，如Kimi、DeepSeek V4、GLM-5、Qwen、MiniMax等。(1/2)🧵

Google AI Developers@googleaidevs · 6月6日72

New @GoogleGemma 4 QAT (Quantization-Aware Training) checkpoints are here, so you can run models locally on consumer GPUs and mobile devices with minimal quality loss. What’s new: 🔹 GGUF (Q4_0): Checkpoints: Max local performance across all sizes and drafter models 🔹 Custom Mobile Schema: We shrunk Gemma 4 down to less than 1GB for mobile devices by using a custom mixed precision schema designed for edge hardware (featuring targeted 2-bit decoding layers, optimized KV caches, and static activations) By simulating compression during training rather than after (Post-Training Quantization), we've drastically reduced the memory footprint and accelerated decode speeds while preserving reasoning quality. https://blog.google/innovation-and-ai/technology/developers-tools/quantization-aware-training-gemma-4/

译谷歌发布 Gemma 4 量化感知训练 (QAT) 检查点，支持在消费级 GPU 和移动设备上本地运行，质量损失极小。新检查点提供 GGUF（Q4_0）格式，覆盖所有尺寸及起草模型，实现最佳本地性能。自定义移动模式采用混合精度方案，将 Gemma 4 压缩至 1GB 以下，包含 2-bit 解码层、优化 KV 缓存和静态激活。通过在训练中模拟压缩（而非训练后量化），大幅降低内存占用并加速解码，同时保持推理质量。