🚨 AI News | TestingCatalog@testingcatalog · 6月2日66

Google AI Studio Build now supports many new integrations with Google services such as Gmail, Calendar, and Sheets, enabling users to vibe code apps that dynamically fetch relevant context.

译Google AI Studio Build 现在支持与 Gmail、日历和表格等 Google 服务进行多项新集成，使用户能够通过 vibe code 构建动态获取相关上下文的应用程序。

ChatGPT@ChatGPTapp · 6月2日71

Long-form writing works better with a little more space. Now you can edit longer pieces in full-screen and save them to your Library to come back to later.

译长文写作需要更多空间。现在你可以在全屏模式下编辑更长的文章，并将其保存到你的资料库中，以便稍后继续。

🚨 AI News | TestingCatalog@testingcatalog · 6月2日79

OpenAI ❤️ AWS OpenAI models are now generally available on AWS Bedrock! Daybreak will be available later on AWS as well. > That includes future availability for Daybreak, OpenAI’s vision for changing how software is built and defended. > Daybreak, which includes cyber models and Codex Security, is designed to help cyber defenders see risk earlier.

译OpenAI的前沿模型与Codex现已在AWS Bedrock平台正式上线（一般可用）。这为企业提供了通过其现有的安全、合规和治理工作流，直接在Amazon Bedrock上使用OpenAI能力的新途径。同时，OpenAI表示，这是其在AWS上更广泛扩展能力的开始，其网络安全平台Daybreak（包含网络模型和Codex Security）未来也将在AWS上提供。

jason@jxnlco · 6月2日62

now available on bedrock!

译现已在Bedrock上可用！ [引用 @OpenAI]：OpenAI前沿模型和Codex现已在AWS上全面可用，为企业提供了一种新方式，通过其现有的安全、合规和治理工作流，在Amazon Bedrock上使用OpenAI进行构建。这同时也是OpenAI在AWS上更广泛能力扩展的开端，包括未来将提供Daybreak等网络安全能力。 https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws/

OpenAI@OpenAI · 6月2日72

OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to build on Amazon Bedrock with OpenAI through the security, compliance, and governance workflows they already use. This is also the beginning of a broader expansion of OpenAI capabilities on AWS, including future availability for cybersecurity capabilities like Daybreak. https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws/

译OpenAI前沿模型和Codex现已在AWS全面可用，为企业提供了一种新方式：通过其现有的安全、合规和治理工作流，在Amazon Bedrock上使用OpenAI进行构建。这也标志着OpenAI在AWS上更广泛扩展的开始，未来将包括Daybreak等网络安全能力的可用性。 https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws/

Logan Kilpatrick@OfficialLoganK · 6月2日79

We just shipped the ability to build apps that connect to Gmail, Drive, Sheets, and more directly inside of @GoogleAIStudio, no navigating to other sites, you can add testers right inside of AI Studio, with full public sharing coming soon!!

译我们刚刚上线了在 @GoogleAIStudio 内直接构建连接 Gmail、Drive、Sheets 等应用的功能，无需跳转其他网站，你可以直接在 AI Studio 内添加测试人员，完整的公开分享功能即将推出！！

OpenAI Developers@OpenAIDevs · 6月2日73

OpenAI models and Codex, now in your AWS workflows. Build AI apps and software engineering workflows with OpenAI on Amazon Bedrock, using the AWS environments and controls your team already trusts.

译OpenAI前沿模型和Codex现已在AWS上全面可用。企业可以通过Amazon Bedrock服务，利用其已有的安全、合规与治理工作流，来构建基于OpenAI的AI应用及软件工程工作流。此次上线是OpenAI能力在AWS上更广泛扩展的开始，未来还将包括Daybreak等网络安全功能的可用性。

Krea@krea_ai · 6月2日62

Krea 2 LoRAs are now available to everyone. try this one below 👇

译Krea 2 LoRAs 现已向所有人开放。试试下面这个 👇

jason@jxnlco · 6月2日52

What willl you build?

译你将构建什么？ [引用 @jxnlco]：哇，我们刚刚发布了 Codex 的 Python 应用服务器感谢 @ah20im

Replit ⠕@Replit · 6月2日75

Can you build a real business for free with a single prompt? Starting today on Replit, the answer is yes. From a single prompt, get a website, mobile app, slide deck, and launch video. Plus unlock perks from @stripe @atlas, @QuickBooks, @mercury & @doolaHQ

译你能用单个提示词免费构建一个真正的业务吗？从今天起，在 Replit 上，答案是肯定的。从单个提示词开始，获得一个网站、移动应用、幻灯片和发布视频。此外，还能解锁来自 @stripe @atlas、@QuickBooks、@mercury 和 @doolaHQ 的福利。

🚨 AI News | TestingCatalog@testingcatalog · 6月2日53

XAI 🔥: SuperGrok and X Premium+ users now can use Composer 2.5 model from Cursor via Grok Build! Grokposer 🤖

译XAI 🔥：SuperGrok 和 X Premium+ 用户现在可以通过 Grok Build 使用 Cursor 的 Composer 2.5 模型！ Grokposer 🤖

Replit ⠕@Replit · 6月2日73

Can you build a real business for free with a single prompt? Starting today on Replit, the answer is yes. From a single prompt, get a website, mobile app, slide deck, and launch video. Plus unlock perks to run your business from @stripe @atlas, @QuickBooks, @mercury & @doolaHQ

译你能用单个提示词免费构建一个真实的业务吗？从今天起，在 Replit 上，答案是肯定的。从一个提示词开始，获得一个网站、移动应用、幻灯片和发布视频。此外，还能解锁使用 @stripe @atlas, @QuickBooks, @mercury & @doolaHQ 运营业务的福利。

MiniMax (official)@MiniMax_AI · 6月2日61

the price tags tell the story 👀 M3 on @aimlapi! go test it yourself 😎

译MiniMax M3 模型现已登陆 AI/ML API 平台。平台方通过 one-shot Doodle Jump 游戏对多个模型进行了测试，结果显示各模型输出效果相近，但价格差异显著：MiniMax M3 价格为 $0.05，Qwen 3.7 Max 为 $0.08，DeepSeek V4 Pro 为 $0.10，GPT-5.5 为 $0.42。MiniMax 方面以此强调其高性价比，并宣布该模型目前提供限时 50% 折扣。

Logan Kilpatrick@OfficialLoganK · 6月2日53

We just shipped the first iteration of API Key breakdown of your Gemini API usage 🗝️, you can now filter your request chart via API key! More granular controls in other areas coming soon : )

译我们刚刚发布了 Gemini API 用量按 API Key 分类的首个版本 🗝️，你现在可以通过 API Key 来筛选请求图表了！其他领域更精细的控制功能也将很快推出 : )

宝玉@dotey · 6月2日50

活久见，Claude 也重置了额度！

Perplexity@perplexity_ai · 6月2日70

Introducing Search as Code, our new search architecture for AI agents. It writes Python that calls our search stack directly, instead of looping through function calls one at a time. Available in the Perplexity Agent API, and now default in Computer. https://research.perplexity.ai/articles/rethinking-search-as-code-generation

译推出Search as Code，我们为AI智能体打造的全新搜索架构。它直接编写Python代码调用我们的搜索栈，而非逐个循环函数调用。现已在Perplexity Agent API中提供，并成为Computer的默认选项。 https://research.perplexity.ai/articles/rethinking-search-as-code-generation

ClaudeDevs@ClaudeDevs · 6月2日49

We've reset 5-hour and weekly rate limits for all users on Pro and Max plans. We fixed an issue that caused some Claude Code sessions to spawn excessive parallel subagents, burning through usage faster than expected.

译我们已为所有Pro和Max计划用户重置了5小时和每周速率限制。我们修复了一个导致部分Claude Code会话生成过多并行子智能体、从而比预期更快消耗用量的问题。

Chubby♨️@kimmonismus · 6月2日67

NVIDIA's quieter Computex drop actually matters more than RTX Spark: DGX Station for Windows. A GB300 (!) superchip under your desk that runs trillion-parameter models locally, 748GB coherent memory, 20 petaflops FP4, shipping Q4. GB300 Grace Blackwell Ultra Desktop Superchip -72-core Grace CPU + Blackwell Ultra GPU over NVLink-C2C -Up to 748GB coherent memory -up to 20 petaflops FP4 -ConnectX-8 SuperNIC, up to 800Gb/s (chain multiple units) -Runs models up to 1 trillion parameters locally -Optional RTX PRO 6000 Blackwell for ray-traced simulation Frontier models fully on-prem, hundreds of agents in parallel, local pretrain/fine-tune/inference, Linux toolchains via WSL, 748GB datasets in coherent memory. NVIDIA OpenShell, an open-source runtime that sandboxes each agent and enforces policy at the OS level via Windows containment primitives. Lets freaking go!

译NVIDIA发布了DGX Station for Windows，这是一款桌面级AI超级计算机，搭载新的GB300 Grace Blackwell Ultra Desktop Superchip。其核心规格包括72核Grace CPU与Blackwell Ultra GPU通过NVLink-C2C连接，提供最高748GB统一内存与20 petaflops FP4算力，可本地运行最高达1万亿参数的模型。该设备计划于2026年第四季度发货。同时，NVIDIA推出了开源运行时OpenShell，可在Windows系统层面为AI智能体构建安全沙箱。

Rohan Paul@rohanpaul_ai · 6月2日61

Agents everywhere. Templafy’s just launched a PowerPoint agent that tackles the part of AI presentation work that usually breaks after export: the painful handoff from AI draft to usable business deck. Because, business decks fail in the last mile: structure, brand rules, formatting, and edits. This one tries to solve that.

译Templafy推出一款PowerPoint AI智能体，旨在解决AI生成PPT后在实际业务场景中的应用痛点，即从AI草稿到可用商业演示文稿的“最后一公里”问题。该工具针对结构、品牌规范、格式和编辑等常见失败点，直接生成结构完整、符合商业标准且可在PowerPoint中即时编辑的完整演示文稿，避免了用户需要重建、处理格式混乱或从零开始的麻烦。

Chubby♨️@kimmonismus · 6月2日67

At Computex, NVIDIA walked into a market it never owned: the PC itself. RTX Spark is an ARM superchip: 20-core Grace CPU, Blackwell GPU with 6,144 CUDA cores, up to 128GB unified memory, 1 PetaFLOP FP4. The GPU core count sits at RTX 5070 (!) level, in a laptop as thin as a MacBook. However, the strategy is the story: NVIDIA used to sell graphics cards. Now it builds the whole system: CPU, GPU, memory and software stack on one package, all on Windows on ARM. That puts it head to head with Intel, AMD, Qualcomm and Apple at the same time. Four rivals, one chip. The framing is as important as the gaming demos, even with Jensen holding up two laptops running 007 First Light and Forza Horizon 6. NVIDIA calls this a "personal AI computer." The pitch: your PC becomes a teammate, with local agents working next to you while you do something else. 128GB unified memory means 120B-parameter models running locally, no cloud. NVIDIA is wagering that the PC of the next few years gets built around local AI (!) rather than apps. If that lands, the company has done more than ship a product. It's set the frame everyone else has to compete in. What's still open: the GPU is power-limited (45–80W), the FPS and battery claims are unbenchmarked, and Windows on ARM still drags a long list of gaming and x86-emulation problems behind it. Ships Fall 2026. Until then, these are slides, not reviews. This is the most interesting AI launch of the year is a chip.

译NVIDIA在Computex发布了RTX Spark ARM超级芯片，采用系统级封装，集成了20核Grace CPU、6,144 CUDA核心的Blackwell GPU、最高128GB统一内存，并提供1 PetaFLOP FP4算力。此举标志着NVIDIA从显卡供应商转变为构建完整系统（包括CPU、GPU、内存和软件栈），直接与Intel、AMD、Qualcomm和Apple竞争。产品被定位为“个人AI计算机”，其128GB统一内存旨在支持本地运行120B参数的大语言模型。目前，该芯片的GPU存在功耗限制（45–80W），实际性能和电池表现待验证，且Windows on ARM平台仍面临游戏和x86兼容性挑战。产品计划于2026年秋季发货。

StepFun@StepFun_ai · 6月2日57

Step 3.7 Flash is now FREE in @kilocode 🎉 It was built for how coding agents actually work. That means multi-step orchestration and reliable tool use across a real codebase, not just fast replies. Try it on a real task in your editor, like a multi-file change or an actual bug!

译Step 3.7 Flash 现已在 @kilocode 免费提供 🎉 它专为编码智能体的实际工作方式而构建。这意味着在真实代码库上进行多步骤编排和可靠工具使用，而不仅仅是快速回复。在编辑器中尝试一个真实任务吧，比如多文件更改或修复一个实际的 bug！

OpenRouter@OpenRouter · 6月2日77

The Auto Router now lets you tune how it weighs cost against quality. New `cost_quality_tradeoff` parameter, 0 to 10: Set it to 0 and it always picks the most capable model regardless of price. Set it to 10 and the cheapest model wins.

译Auto Router 现在允许你调整其在成本与质量之间的权衡。新增 `cost_quality_tradeoff` 参数，范围 0 到 10：设为 0 时，它总是选择最强大的模型，无论价格如何。设为 10 时，最便宜的模型胜出。

Rohan Paul@rohanpaul_ai · 6月1日42

A humanoid robot is useful only when teams can test motion, perception and interaction on real hardware, because simulation often misses friction, balance errors, sensor noise, and messy human environments. That’s exactly why robots need developer ecosystems. LUMOS Robotics just launched Project EDGE, a program giving 100 free LUMOS NIX humanoids to selected builders, universities, robotics labs, and creative robotics teams.

译LUMOS Robotics 启动 Project EDGE 计划，旨在构建开发者生态。由于仿真难以复现摩擦力、平衡误差、传感器噪声和真实人类环境，人形机器人的运动、感知与交互能力必须在真实硬件上进行测试。项目将向全球开发者、高校、机器人实验室及创意团队免费提供 100 台 LUMOS NIX 人形机器人。获选合作伙伴将获得机器人设备、开放的 SDK 访问权限及直接技术支持，以探索从动态运动控制到具身 AI 应用的广泛场景。项目现已开放申请。

Chubby♨️@kimmonismus · 6月1日68

For two years the whole conversation was about context window size. Meanwhile the actual problem never moved: agents don't remember anything between sessions. We kept patching it with RAG and manual context injection and calling that memory. HydraDB is going at the layer everyone routed around. One API, sessions that persist, knowledge that compounds across agents. The tell in the $6.5M is who raised it: not a frontier lab. They had the compute to solve persistence and spent it on scaling, so memory became a startup's whole thesis instead of a line item in theirs. Fantastic!

译该推文指出AI领域过度关注上下文窗口大小，而真正的核心问题——AI智能体跨会话记忆缺失——却被忽视。HydraDB 获得 $6.5M 融资，旨在构建一个图原生的上下文基础设施，专为智能体提供持久化会话、可累积知识与行为可观测性。其核心是将内存、NVMe 和对象存储组合为单一的图层，目标实现比现有方案快、成本降低 1000 倍、且高精确度的上下文交付，为智能体赋予“大脑”。

Rohan Paul@rohanpaul_ai · 6月1日69

There’s now a platform that hires AI agents for you from 273,000 skills and keeps them running 24/7 while you sleep @lobehub just launched something called a Chief Agent Operator. you don’t build agents. you don’t prompt agents. you just say what needs doing, and it finds the right agent, deploys it, and reports back through Slack, Discord, or whatever you already use In 2015, you hired humans on Fiverr for $5/hr. in 2026, AI is hiring AI like it has a budget and a calendar. Currently most agent-powered workflow asks you to open separate agents, repeat context, assign tasks, check progress, move results between apps, and decide when to escalate work. LobeHub has an operator layer that hires agents from a 273K-skill marketplace, schedules them in the cloud 24/7, and sends reports through the IM apps where teams already work. So their "Task" turns an agent into a background worker: you assign the job once, the agent keeps running, shares progress, moves finished work to Pending Review, and updates its work when you leave comments. 50%+ cost savings and cloud 24/7, no self-hosting The way I understand LobeHub: Claude Code, Cursor, and Manus are powerful agents/tools, but LobeHub is the operator layer that decides who does what, when, and how the work comes back to you. 🧵 1.

译LobeHub发布了名为“Chief Agent Operator”的平台。用户无需自行构建或提示代理，只需提出需求，平台便从一个拥有273,000个技能的市场中自动匹配、部署合适的AI智能体。这些智能体可在云端24/7运行，并通过Slack、Discord等IM工具汇报进展。该平台旨在解决当前工作流中需手动管理多个代理、重复提供上下文等问题，据称可节省超50%成本。其定位是作为统一调度层，管理如Claude Code、Cursor等各类AI代理工具的运作与结果回传。

歸藏(guizang.ai)@op7418 · 6月1日60

Codepilot 的重构版本终于好了！ CodePilot 0.55.0-preview.5 相当多的内容优化，UI 整体重构，支持将 Codex 作为 Agent 引擎可以使用 Codex 内置模型也可以自定义模型目前是测试版本没有推送，不排除有大 bug，如果有问题欢迎带日志反馈

译CodePilot发布了0.55.0-preview.5版本。本次更新包含大量内容优化和UI整体重构，并支持将Codex作为其Agent引擎。用户可选用Codex内置模型或自定义模型。该版本目前为测试版，未公开推送，可能存在重大Bug，开发者欢迎用户带日志反馈问题。

Chubby♨️@kimmonismus · 6月1日62

Holy, NVIDIA revealed RTX Spark and its nuts. Superchip. Blackwell-GPU (RTX-5070-Cores) 128GB, 1 PetaFLOP KI, 1440p/100FPSand so much for Laptops. Insane

译天啊，NVIDIA公布了RTX Spark，这太疯狂了。超级芯片。Blackwell GPU（RTX-5070核心）128GB，1 PetaFLOP AI算力，1440p/100FPS，还有笔记本版本。太离谱了。

Alibaba Cloud@alibaba_cloud · 6月1日62

🚀 Apache RocketMQ just leveled up for AI! Introducing RocketMQ for AI—a new message engine built for long-running sessions, multi-agent workflows & fair resource scheduling. With Lite-Topics, ordered messaging, and intelligent traffic shaping, it solves state loss, cascading failures, and bursty loads. Built at scale by Alibaba Cloud, open-source for all. Learn more: https://int.alibabacloud.com/m/1000413178/ #RocketMQ #AI #CloudNative

译🚀 Apache RocketMQ 为 AI 升级！推出 RocketMQ for AI——一个专为长时间会话、多智能体工作流和公平资源调度构建的新消息引擎。凭借 Lite-Topics、有序消息和智能流量整形，它解决了状态丢失、级联故障和突发负载问题。由阿里云大规模构建，现已开源。了解更多： https://int.alibabacloud.com/m/1000413178/ #RocketMQ #AI #CloudNative

Berryxia.AI@berryxia · 6月1日24

这种小任务爬爬虾的工作交给Qclaw这种还是挺好的，每日有4000K的Tokens可以用啊。不用白不用啊，整理成报告还是可以滴。不然你不用也浪费了啊！

译推文提及AI助手Qclaw（像素风小龙虾形象）日供4000K Tokens额度，适合处理小任务并生成报告。用户@berryxia将其视为能主动干活的数字同事，目前已邀请码内测中。

🚨 AI News | TestingCatalog@testingcatalog · 6月1日47

ClickUp is working on a Cowork feature 👀 > Cowork can help users build, edit, and take action alongside them, and other agents at the same time > Sessions are persistent, so context carries across the entire workday > Multiple users can collaborate in the same Brain session simultaneously Brain Cowork can proactively work in the channel just like a human teammate, drafting docs and setting reminders in the same thread where the team is actively working.

译ClickUp正在开发Cowork功能 👀 > Cowork可以帮助用户构建、编辑并采取行动，同时与其他智能体协同工作 > 会话是持久的，因此上下文在整个工作日中保持连贯 > 多个用户可以在同一个Brain会话中同时协作 Brain Cowork可以像人类队友一样在频道中主动工作，在团队正在工作的同一话题线程中起草文档和设置提醒。

Tencent Hy@TencentHunyuan · 6月1日73

🚀We’re excited to officially release Hy-Memory — a powerful memory plugin built specifically for long-term collaborative Agents like OpenClaw. More than a retrieval tool, it becomes your Agent’s true “Second Brain.” Powered by a 6-layer memory framework × System1/System2 dual system × three-layer evolutionary chain, Hy-Memory lets Agents remember durably, accurately, lightly, and understand you better. ➡️Solves memory fragmentation ➡️70%+ fewer memories ➡️45%+ higher info density per memory ➡️35% less token usage on ultra-long contexts ➡️20% faster memory updates. Upgrade your Agent’s memory today! 📷Project & Download: https://memory.hunyuan.tencent.com/ 📷 OpenClaw Docs: https://memory.hunyuan.tencent.com/openclaw/

译腾讯混元正式发布专为OpenClaw等长期协作智能体（Agent）设计的记忆插件 Hy-Memory。它基于6层记忆框架、System1/System2双系统与三层进化链构建，旨在成为智能体的“第二大脑”。该插件解决了记忆碎片化问题，实现了显著性能提升：记忆数量减少70%以上，单条记忆信息密度提升45%以上，在超长上下文场景中token消耗降低35%，记忆更新速度提升20%。

X.PIN@thexpin · 6月1日63

Big robotics moment at Computex 🤖 In his keynote, Nvidia CEO Jensen Huang unveiled the Isaac GR00T Reference Humanoid Robot — Nvidia's first robotics system sold to researchers. • Body: Unitree H2 Plus (180cm, 70kg — Unitree's first near-human-sized robot) • Hands: Sharpa Wave 5-finger tactile hands (Singapore-based Sharpa) • Brain: Nvidia Jetson Thor (Blackwell GPU) + Isaac GR00T software stack Already going to Stanford, ETH Zurich, UC San Diego and Ai2. Unitree H2 ships late 2026 — perfect timing. Unitree CEO Wang Xingxing said in January: whoever cracks the robot LLM is the world's top AI + robotics company — "fully Nobel-worthy." So… where's Boston Dynamics?

译Nvidia在Computex上发布了首个面向研究者的机器人系统Isaac GR00T。该系统硬件采用Unitree H2 Plus（身高180cm，体重70kg），配备Sharpa Wave 5指触觉手；软件大脑基于Nvidia Jetson Thor（Blackwell GPU）与Isaac GR00T软件栈。该系统已捐赠给斯坦福大学、苏黎世联邦理工学院、加州大学圣地亚哥分校和Ai2。Unitree H2计划于2026年底交付。Unitree CEO王星星此前表示，破解“机器人LLM”的公司将成为顶级AI与机器人企业，其贡献“完全值得诺贝尔奖”。

Rohan Paul@rohanpaul_ai · 6月1日73

Jensen Huang talks about Vera Rubin at NVIDIA GTC Taipei 2026 today. ---- From 'NVIDIA' YT channel (link in comment)

译黄仁勋今天在NVIDIA GTC台北2026上谈论了Vera Rubin。

MiniMax (official)@MiniMax_AI · 6月1日57

that was fast 🔥 M3 already running in CyOps

译真快🔥 M3已经在CyOps上运行了

OpenClaw🦞@openclaw · 6月1日46

We are proud to continue our collaboration with @nvidia with support for thier NVIDIA RTX Spark Laptop. Strengthening our support to support OpenShell and @Microsoft Security Primitives. Building ontop of our earlier work with NemoClaw and our existing fully-native Windows support.

译我们很自豪能继续与@nvidia合作，为其NVIDIA RTX Spark笔记本提供支持。加强我们对OpenShell和@Microsoft Security Primitives的支持。基于我们早期与NemoClaw的合作以及现有的完全原生Windows支持。

Satya Nadella@satyanadella · 6月1日65

Our goal is to deliver unmetered intelligence to every home and every desk with Windows. NVIDIA RTX Spark marks a real breakthrough toward that vision. Looking forward to sharing more with Jensen, who will be joining us live from Taiwan, at Build this week! https://blogs.windows.com/windowsexperience/2026/05/31/introducing-a-powerful-new-chapter-for-windows-pcs-accelerated-by-nvidia-rtx-spark/

译我们的目标是通过Windows，为每个家庭和每张办公桌提供无限制的智能。 NVIDIA RTX Spark 标志着朝着这一愿景迈出的真正突破。期待在本周的Build大会上，与从台湾现场连线的黄仁勋分享更多内容！

SemiAnalysis@SemiAnalysis_ · 6月1日65

BREAKING NEWS: Jensen just announced WINDOWS on NVIDIA ARM consumer PC. Unlike Apple transition to ARM M1 with Rosetta 2 transpiler, we are not convinced that Windows on NVIDIA ARM will work well.

译突发新闻：黄仁勋刚宣布英伟达ARM消费PC将搭载Windows。与苹果通过Rosetta 2转译器过渡到ARM M1不同，我们对Windows在英伟达ARM上的表现持怀疑态度。

Chubby♨️@kimmonismus · 6月1日31

They keep on giving. Another resent!

译他们持续带来惊喜。又一次重置！ [引用 @thsottiaux]：所有付费ChatGPT订阅的Codex使用限额已重置。你的每周和每小时限额应已恢复至100%。让token创造今日的精彩，玩得开心。

elvis@omarsar0 · 6月1日37

😂PewDiePie building his own agent orchestrator and releasing it was not on my 2026 bingo card. Own the agent. Own the harness. It's not that hard, folks.

译😂PewDiePie构建并发布自己的智能体编排器，这完全不在我的2026年预测清单上。拥有智能体。拥有框架。这并不难，各位。