Kimi.ai@Kimi_Moonshot · 6月9日63

http://x.com/i/article/2063961516815327232 # Kimi to Predict All 104 World Cup Matches: Germany May Be Underestimated > Our predictions will probably be wrong. But the World Cup offers a rare, public, verifiable, and constantly evolving real-world setting. Through this initiative, we hope to place analysis, predictions, and post-match reviews within one transparent framework, helping more people understand both the capabilities and limitations of today's AI systems. The 2026 FIFA World Cup in the United States, Canada, and Mexico is set to kick off. This historic 48-team tournament will feature a total of 104 matches across the group stage, Round of 32, Round of 16, quarter-finals, semi-finals, and final. We used Kimi's Agent Swarm to run multiple agents in parallel, ensuring a more robust analysis. These agents look at tactics, player form, injuries, scheduling, historical data, public sentiment, weather, psychology, odds movements, and expert opinions. They research all 104 matches in parallel, and publish pre-match predictions and post-match reviews for each round. Here is the full report：https://gtfehbkpbwzco.kimi.page/ # How Agent Swarms Can Improve World Cup Predictions Predicting the World Cup is a classic complex decision problem. It involves structured data, such as team rankings, historical records, goal distributions, and odds fluctuations—as well as vast unstructured information, including tactical styles, personnel changes, public expectations, and n-game risks. Kimi's Agent Swarm coordinates 300 sub-agents to reason in parallel. Each agent has its own analytical angle: some focus on team fundamentals, using Elo and FIFA rankings as strength parameters; some evaluate offensive and defensive quality, relying on xG and xT metrics; some specialize in tactical matchups—high pressing, low block, counter-attacking, and set-piece strategies; some process scheduling and environmental factors, including travel distance, climate, and rest periods; some track squad completeness and injury risks; some monitor market signals, analyzing shifts in odds and implied probabilities; and others assess random risks such as red cards, penalties, VAR decisions, and goalkeeper performances. Each agent must provide its own conclusion, evidence, confidence level, and counter-argument. The final result is synthesized, verified, and risk-labeled, presented as probabilities rather than absolute judgments, and does not simply adopt the majority opinion. At the model level, this prediction effort draws on Elo/FIFA strength models, Poisson and Dixon-Coles goal distribution models, xG/xT metrics, machine learning-enhanced models, Monte Carlo simulations, market-model deviation analysis, and Bayesian dynamic updating. The value of these methods is not that they eliminate uncertainty, but that they help us identify it more systematically and communicate it more responsibly. # A Signal Worth Discussing: Germany May Be Underestimated Most mainstream models currently list Spain and France as the top favorites for the title. Kimi's analytical framework also places both teams at the top of the probability rankings. However, during the research process, the model identified a notable deviation: Germany's title probability may be underestimated by the market. Specifically, the model's baseline estimate is approximately 11.0%, the calibrated estimate is around 11.3%, while some market-implied probabilities are only about 7.4%—a positive deviation of roughly +3.6 percentage points. This judgment is not derived from a single reasoning path, but from cross-validation across multiple analytical chains. Possible explanations include: the "recency bias" from Germany's group-stage exits in the last two World Cups continues to influence market pricing; Julian Nagelsmann's high pressing and transition system is showing signs of recovery; the new creative axis formed by Jamal Musiala and Florian Wirtz addresses the team's previous structural difficulties against deep defensive blocks; and Germany remains in the world elite across foundational dimensions such as Elo rating, squad valuation, and talent depth. At 38, Nagelsmann is the youngest head coach at this World Cup, and also a leading figure in openly applying AI technology to training and tactical analysis. Whether this factor will play a role in the tournament is also worth watching. At the same time, we are fully aware of the risks Germany faces. A high-pressure system demands extreme fitness and squad completeness; should key injuries occur, rotation quality decline, or opponents with tight defensive organization and strong physicality be encountered, the advantage could narrow significantly. Therefore, we have a responsibility to state: this is not a deterministic prediction that "Germany will win the title." The more accurate formulation is that the model has identified a potential probability deviation, worth documenting publicly and verifying going forward. # Why Public Prediction Matters: AI Companies Should Be More Honest When AI companies discuss capabilities, they often prefer to stay in the realm of demos and case studies. But in complex real-world problems, the real difficulty lies not only in providing answers, but in: whether they are willing to make public judgments in advance; whether they can clearly explain the basis for those judgments; whether they candidly acknowledge uncertainty; whether they can review why its predictions were wrong; and whether they can continuously update based on new information. The World Cup offers a naturally public, verifiable, and continuously evolving scenario. Through this initiative, we hope to place the analytical process, prediction results, and post-match reviews within the same transparent framework. We expect that a significant number of errors will occur during this prediction process. Based on historical backtesting, high-confidence predictions have an accuracy of approximately 85%–90%, medium-confidence predictions about 55%–65%, and low-confidence predictions are close to random. This means that even in high-confidence matches, unexpected results remain unavoidable. We will categorize prediction errors into several causes: insufficient or lagging data, failure of key assumptions, model structures not covering specific scenarios, in-game events altering match trajectories, and the inherent randomness of football itself. We welcome constructive model corrections and any criticism, and will continuously iterate and optimize our predictive capabilities. We also sincerely invite other AI models to participate in public prediction. We believe that AI should not be packaged as a system that is always right. A trustworthy AI system should be able to clearly articulate its own boundaries. # Group Stage Round 1 Prediction Results Below is a summary of predictions for the opening round of group-stage matches. For the full analytical process, key variables, and confidence explanations, please refer to the full report (reply "Kimi" in the backend to receive the complete report). The report anticipates approximately 5–7 unexpected results against the model's direction in the opening round. Red cards, injuries, VAR, extreme weather, and exceptional goalkeeper performances can all cause single-match predictions to deviate significantly from model expectations. # Claim Trillions of Tokens and Experience Kimi Work To accompany fans through this summer, we have prepared the following campaign: - Starting from 8:00 PM ET on June 8, users who log in to Kimi can select a team to support. For each match that team wins, users can participate in a pool to share 1 trillion tokens. At the same time, for each match Germany wins, all users will have the opportunity to share an additional token prize pool. Pick your team here 👉 https://www.kimi.com/token-cup?from=popup The tokens you receive can be used to experience Kimi Work—a universal local agent designed for knowledge workers, launched alongside the latest beta versions of Kimi for Mac and Windows. Its core, Kimi Code, comes integrated with professional skills such as website building and PPT creation, connects to specialized databases in finance, research, and law, and features the Kimi WebBridge solution, allowing AI to use a browser to complete complex tasks just like you using the browser. # Risk Disclaimer Kimi's World Cup predictions are intended to publicly demonstrate AI's capabilities in reasoning, calibrating, and reviewing complex match analysis. They do not constitute any betting, investment, financial, or profit promise, and are intended solely for sports research, entertainment discussion, and AI capability evaluation. Sports match results are highly uncertain; please do not make any financial decisions based on a single prediction, and enjoy the game responsibly. Kimi wishes football fans and technology enthusiasts around the world an unforgettable tournament, and looks forward to witnessing the intersection of data-driven analysis and sporting miracles. Again, you can log in to Kimi and choose any team you'd like to support. For every match your team wins, you'll be eligible to join a prize pool and share 1 trillion tokens with other supporters. And there's more: every time Germany wins a match, all users will unlock access to an additional bonus token prize pool. Join Now 👉 https://www.kimi.com/token-cup?from=popup Now, all eyes are on Germany.

译Kimi 利用 Agent Swarm 系统并行协调300个子智能体，分析战术、球员状态、伤病、赛程、天气、赔率等因素，预测2026年美加墨世界杯全部104场比赛，并发布每轮赛前预测和赛后回顾。模型层融合了 Elo/FIFA 强度、Poisson 进球分布、xG/xT 指标、蒙特卡洛模拟等方法。预测结果显示西班牙和法国为头号热门，但德国夺冠概率可能被市场低估：模型基线估计约11.0%，校准估计约11.3%，而部分市场隐含概率仅约7.4%，正向偏差约+3.6个百分点。该判断基于多分析链交叉验证，可能源于对德国近两届小组出局的近因偏差以及纳格尔斯曼高位压迫体系与穆西亚拉/维尔茨新创造轴的复苏信号。

Chubby♨️@kimmonismus · 6月9日49

It was only a matter of time. UBTECH has released its first bionic humanoid robots. They don’t just look human - they feel human, too.

译这只是时间问题。 UBTECH 发布了其首批仿生人形机器人。 它们不仅外表像人——触感也像人。

fofr@fofrAI · 6月9日70

Agents, collect your power-up

译Google Colab CLI与Skills正式推出，用户可直接从终端使用完整Colab运行时，包括GPU/TPU分配（如colab --gpu A100）、远程脚本执行（colab exec）、交互式控制台/REPL访问以及内置智能体技能。只需告诉智能体“在此数据集上微调Gemma 3 1B”，它就会自动分配GPU、运行训练并下载适配器权重，全程自动化。智能体们，来领取你们的增强道具。

SiliconFlow@SiliconFlowAI · 6月9日61

V4-Pro (quality) + V4-Flash (speed) 2 lines of config to bring the Best price/perf DeepSeek combo in your terminal @goodhunt's CodeWhale — the terminal coding agent built for @deepseek_ai V4 — now includes SiliconFlow as a built-in provider🔥 Here's what you're actually getting: → Stream Reasoning: See the thinking, not just the answer. → Auto-Routing: Switches model + thinking depth by task complexity. → Zero Drift: A written Constitution ranks authority for each turn, keeps V4 oriented. → Self-Improving: V4 helped write its own harness, and as the harness improves, every session is stronger. Step-by-step guide 🧵👇

译硅基流动宣布，通过V4-Pro（质量）与V4-Flash（速度）两行配置，即可在终端获得DeepSeek V4的最佳性价比组合。专为DeepSeek V4构建的终端编码智能体CodeWhale现已内置SiliconFlow。CodeWhale具备流式推理（显示思考过程）、自动路由（根据任务复杂度切换模型与思考深度）、零漂移（通过书面宪法为每轮排序权威，保持V4定向）以及自我改进（V4协助编写框架，框架提升后每个会话更强大）等特性。

小互@xiaohu · 6月9日64

NotebookLM 迎来重大升级 · 底层模型换成 Gemini 3.5 + Antigravity · 每个Notebook自带云端电脑，能写代码做复杂分析，内置 100 多个技能 · 新增十几种输出格式：PDF、docx、Excel、PPT、图表、图片等，生成后还能再改 · 还打通了 Google 搜索让你不用自带资料也能开工

译NotebookLM 迎来重大升级。底层模型更换为 Gemini 3.5 和 Antigravity；每个 Notebook 自带云端电脑，支持写代码和复杂分析，内置 100 多个技能；新增十几种输出格式，包括 PDF、docx、Excel、PPT、图表、图片等，生成后可二次修改；还打通了 Google 搜索，用户无需自带资料即可开工。

向阳乔木@vista8 · 6月9日65

我去，黑科技啊！ 一句话操作浏览器：拉黑 X 垃圾回复，自动回小红书评论，转写英文文章发到知乎、公众号草稿箱等。 来自推友 @okasupportgroup 开发的一个全新AI Agent 浏览器：Aye 把MacRumor一篇关于 WWDC26 的 WatchOS 27 文章发布到知乎，连图片都会读缓存插入。 还能自动回复小红书评论，模拟真人查看内容，根据上下文回复，强！ 浏览器不仅自带AI问答、翻译，视频/图片下载（yt-dlp和内置模块），Dia有的功能，基本都有。 更大亮点是Agent Skill，除了内置很多黑科技Skill，还能手动操作录制生成Skill，定时执行。 各种繁琐网页操作都可以交给它完成了。 底层基于Chromium，完全AI模拟真人操作，不会像CLI、插件之类的会触发账号异常检测，总之，牛逼！

译推友推出AI Agent浏览器Aye，基于Chromium模拟真人操作。支持一句话操作，如拉黑X、回小红书、转写文章到知乎；可录制自定义Skill定时执行，完成繁琐网页操作。

ginobefun@hongming731 · 6月9日32

和 @puliandc 讨论了好几轮 用 Claude Code 和 Claude Design 设计和讨论 然后用 Codex Goal 模式搭建。 明晚争取上线 BestBlogs 世界杯专刊 期待一起用 BestBlogs 看世界杯⚽️📖！

译洪明 (@hongming731) 透露，经过与 @puliandc 多轮讨论，他们使用 Claude Code、Claude Design 进行设计和讨论，并用 Codex Goal 模式完成了搭建。目标是在明晚上线 BestBlogs 世界杯专刊，邀请用户一起用 BestBlogs 看世界杯。

Tibo@thsottiaux · 6月9日74

ChatGPT goes interactive and gets better everyday. I am told @adamhfry, the team and codex won't rest until it is perfect.

译ChatGPT团队持续每周推进更新，最新一批功能已全部上线。新增内容包括：交互式漂亮图表、全屏写作编辑并保存至个人库、长对话自动生成目录、支持附带附件编辑消息。Plus/Pro用户现可长按发送键选择模型的智能/努力级别。iOS端聊天输入框响应速度也得到提升。团队表示将持续倾听用户反馈并快速迭代。

Xiaomi MiMo@XiaomiMiMo · 6月9日35

1,000+ tokens/s is fast. 🚀 But what does that actually unlock?

译1000+ tokens/s 很快。🚀 但这实际解锁了什么？

AYi@AYi_AInotes · 6月9日64

iOS 27 的新 Siri 强的一逼， 而且是质变级别的强， 可以直接从你的个人数据里提取上下文，Damn！ 看视频这个老哥的演示，竟然能识别出这是关于水瓶的需求， 1️⃣自动关联到妈妈的聊天记录，弹出卡片显示：「Your mom mentioned that she really wanted a LARQ bottle.」 2️⃣还附上了妈妈的具体消息片段（「OMG… what a fun care package!!」） 这已经不是简单搜索啦，已经涉及到个人语义理解 + 跨应用上下文召回，除了Messages，也支持照片/视频的文本解读，整个过程据回复是本地处理为主，速度快、隐私相对更好。 以前 Siri 连设置个定时器都经常出错，现在能处理这种带个人记忆的自然查询，真的让人眼前一亮，我看评论区很多人感慨：我们曾经为 Siri 能正确设定时器而庆祝🤣

译iOS 27 的新 Siri 实现质变级升级。演示中用户提及水瓶需求，Siri 自动关联妈妈聊天记录，弹出卡片显示「Your mom mentioned that she really wanted a LARQ bottle.」并附上消息片段。这涉及个人语义理解和跨应用上下文召回，支持 Messages、照片/视频文本解读。本地处理为主，速度快、隐私更好。

Elon Musk@elonmusk · 6月9日42

SpaceX AI Satellites

译SpaceX AI 卫星

小互@xiaohu · 6月9日57

苹果全新Siri AI演示视频 感觉还是非常基础的升级，端侧模型+云端模型 端侧负责处理手机本地的信息调用本机个人信息和感知场景 云端复制处理和执行复杂任务，基于Gemini 模型定制的，而不是完全采用Gemini的模型 演示感觉毫无激情可言😂 Siri 变成一个独立 App： 能自然对话、记得你的上下文、跨应用替你动手，还能看懂屏幕上和镜头前的东西。 照片、Safari、密码、快捷指令全都加了 AI。 拍完的照片能重新构图，浏览器标签自动归类，弱密码一键改，快捷指令用一句话就能搭出来。

译苹果发布全新Siri AI演示，定位为端侧+云端双模型架构。端侧负责调用本机个人信息与感知场景，云端基于Gemini模型定制（非完全采用）以处理复杂任务。Siri升级为独立App，支持自然对话、上下文记忆、跨应用操作，并能理解屏幕内容和摄像头画面。同时，照片、Safari、密码、快捷指令均加入AI功能：照片可重新构图，浏览器标签自动归类，弱密码一键修改，快捷指令一句话生成。

歸藏(guizang.ai)@op7418 · 6月9日53

昨晚苹果 WWDC 唯一的亮点就是这个灵动岛的新 Siri AI 了。 而且本地端侧模型居然只支持 17Pro 这一款设备，当然欧洲和中国还是不可用。

Berryxia.AI@berryxia · 6月9日75

Kimi 终于更新了一些新东西啊！ Kimi Work直接在你本地桌面塞进300个AI代理并行狂奔 它刚上线，macOS和Windows都能跑，配上WebBridge扩展，Agent自己就能在浏览器里搜、滚、点、打字，把整件事干完。 专门为财经场景调教好，Yahoo Finance、世界银行数据直接原生调用，零配置拉全球市场和经济情报。 更狠的是它自带记忆系统，会默默记下你的偏好、每一次决定，下次就越来越懂你该怎么干。 300个子Agent自动拆任务、协作执行，最后直接把现成的PPTX、Word、PDF、Excel扔到桌面。 以前大家以为agent必须靠云端大模型才能真正干活，结果Kimi Work用本地swarm+原生工具+长记忆，直接把生产力拉到桌面原生体验。 这套东西一上手，你电脑就多了一整个懂你的秘书团。

译Kimi Work 是一款桌面 AI 代理，支持在本地最多 300 个代理并行执行任务，已适配 macOS（Apple Silicon）和 Windows。配合 WebBridge 扩展，代理可自主在浏览器中搜索、滚动、点击、打字完成操作。内置财经场景优化，原生调用 Yahoo Finance 和世界银行数据，无需复杂 API 配置。自带记忆系统记录用户偏好和决策历史。最终自动生成 PPTX、Word、PDF、Excel 文件。

Berryxia.AI@berryxia · 6月9日61

兄弟们！Google NotebookLM 大更新了！ NotebookLM一夜之间从你的笔记小助手 ！ 直接进化成能独立带你搞定复杂多步研究的agent，把一堆靠云端幻觉混日子的研究工具直接干沉默了。 官方这次升级很大：聊天里塞进agentic能力、更狠的推理逻辑，还有一整套新输出格式。 以前那种得手动来回好几轮、层层推进的硬骨头研究，现在它直接自己拆任务、自己推理、自己输出。 并且它还能从网上挖新资料给你加进来，但真正生成答案、做报告的时候，死死只认你自己选好、批准过的来源，一点都不乱编。 以前大家以为Agent AI就等于高风险幻觉，结果NotebookLM用这个方式告诉你：真正牛的agent不是胆子大，而是把“靠谱”当成底层铁律，然后再给你agent级生产力。 这波升级一出，研究、生产、学习这些活儿，彻底从“人机对话”变成“人机搭档”了。 减少幻觉，提供置信度高的来源。 可以体验一下～

译Google NotebookLM 迎来重大升级，在聊天中注入智能体（agentic）能力、更先进的推理逻辑以及一整套新输出格式。它可自主拆解复杂多步研究任务，逐步推理并生成结果；能主动从网络挖掘新资料，但最终答案严格基于用户批准过的来源，大幅减少幻觉。这让人机协作从“对话”升级为“搭档”。该更新已面向 Google AI Ultra 订阅用户逐步推送。

Berryxia.AI@berryxia · 6月9日74

Kimi Code一行命令直接把所有coding agent的安装门槛干到零。 还能拖视频当上下文生成LUT文件或者把屏幕录像转成可运行代码！ 官方开源版现在零配置、秒启动，配上Kimi K2.6，视频推理强到离谱。 拖个参考视频它就能吐出现成的.cube文件，拖个屏幕录像它直接给你写出对应代码。 更狠的是插件系统已经上线，股票价格、财报、学术论文一键拉取，ACP协议直接打通JetBrains和Zed，还留了自定义hooks让你随便扩展工作流。 以前大家默认coding agent必须搞一大堆配置、只吃文本提示才能干活。 结果Kimi Code用最简单的CLI+视频+插件，直接把开发者日常最烦的“描述不清、上下文不够”这两个痛点一次性干掉。

译Kimi Code 开源 coding agent 迎来重大升级：一行 CLI 命令安装、零配置、秒启动；支持拖拽视频作为编码上下文，可参考视频生成 .cube LUT 文件或把屏幕录像转成可运行代码；插件系统上线，可一键拉取股票、财报、学术论文；支持 ACP 协议，对接 JetBrains、Zed，并提供自定义 hooks 扩展工作流。配合 Kimi K2.6 模型使用，视频推理能力大幅增强。

Chubby♨️@kimmonismus · 6月9日45

If that works fine: game changer.

译如果这可行：改变游戏规则。 Apple Intelligence 在 OS 27 平台的密码应用中，将智能地更改你在数据泄露中暴露的密码，并在密码应用中为你更新。 再也不用担心特意去更改暴露的密码。

DogeDesigner@cb_doge · 6月9日53

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

译Musk 公布了 SpaceXAI 首颗 AI 卫星，峰值功率 150 kW、持续计算功率 120 kW，配备自产 150 kW 太阳能板，翼展 70 米。散热系统采用 110 m² 可展开液体散热器，带冗余冷却回路与微流星防护。卫星由 Starship 发射，用激光链路通信，避开 Starlink 复杂系统。SpaceX 认为未来版本可大幅扩展。Musk 指出太空 AI 规模化需三大条件：Starship 大运力、巨大太阳能发电、大型散热器，并暗示大规模轨道 AI 最终可能需数百 GW 到太瓦级功率及数百万吨基础设施。

ViggleAI@ViggleAI · 6月9日66

Introducing the Viggle API. Give any character any motion, one API call - alive in seconds. Wire it into Claude, Codex, or any agent you're building. Starting from $0.01/sec. Get 100 free credits on signup. RT + follow + comment, 10 winners get 100 more! Learn more below👇

译推出 Viggle API。 给任意角色添加任意动作，一次 API 调用——数秒内即可激活。 可接入 Claude、Codex 或你正在构建的任何智能体。起价 $0.01/秒。 注册即获 100 次免费额度。 转发 + 关注 + 评论，10 位中奖者再获 100 次！ 了解更多👇

NotebookLM@NotebookLM · 6月9日72

Want a closer look at today’s launch? Here is a breakdown of what’s new and exciting 🧵: First up: An upgraded, more thoughtful chat experience. Powered by Gemini 3.5 and @Antigravity, you will now have better visibility into the AI's thinking process. Plus, each notebook has a secure cloud computer including 100+ curated software skills, unlocking deeper research and more complex analysis.

译想更详细了解今天的发布吗？以下是新功能和亮点的介绍🧵： 首先：升级版、更周到的聊天体验。 由Gemini 3.5和@Antigravity提供支持，您现在将更清晰地看到AI的思考过程。此外，每个笔记本都有一台安全的云电脑，包含100多种精选软件技能，解锁更深入的研究和更复杂的分析。

🚨 AI News | TestingCatalog@testingcatalog · 6月9日55

A new image Playground on iOS 27 Beta says that image model behind the scenes is from Google. However, on test prompts results look quite different from Nano Banana and Imagen. This Liquid Glass bubble is cool 👀

译iOS 27 Beta 中的一个新图片游乐场显示，其背后的图像模型来自 Google。 然而，在测试提示下，结果与 Nano Banana 和 Imagen 相比截然不同。 这个液态玻璃泡泡很酷 👀

ClaudeDevs@ClaudeDevs · 6月9日64

We've added an observability dashboard for developers of connectors. Connectors let third-party developers bring their tools and data to Claude via MCP.

译我们为连接器开发者添加了一个可观测性仪表盘。 连接器让第三方开发者能够通过MCP将他们的工具和数据带到Claude。

Chubby♨️@kimmonismus · 6月9日73

Apple: “Our most powerful on-device AI model runs on iPhone 17 Pro.” Me: Great, I have one. Apple: “Do you live in Europe?” Me: …

译Apple 在 WWDC 2026 推出基于 Google Gemini（多年度协议，据报约每年 10 亿美元定制大模型）与自研端侧 Foundation Models 的全新 Siri AI，支持屏幕感知、个人上下文搜索、跨应用操作及独立 Siri app（iCloud 同步对话历史）。Apple Intelligence 还包括 Photos Spatial Reframing、Safari 页面监控、Messages 一键建议、Image Playground 照片级生成等功能。最强端侧 AI 模型仅运行在 iPhone 17 Pro 上，且初期不在欧盟推出。隐私端强调数据仅用于执行请求，可被外部专家验证。

jason@jxnlco · 6月9日41

its like the codex app (windows) but on macos!

译就像 Windows 上的 Codex 应用，但在 macOS 上！

AYi@AYi_AInotes · 6月9日45

吹了半天，合着就是专门来扎我们 Pro账号的是吧😭

译NotebookLM 推出重大升级，新增聊天中的智能体能力、更高级推理以及一系列新输出格式，现已面向 Google AI Ultra 订阅者开放。有用户吐槽：吹了半天，合着就是专门来扎我们 Pro 账号的是吧😭

AYi@AYi_AInotes · 6月9日74

Damn，ChatGPT这个更新，直接干废了90%的Excel轻度使用场景🤯 现在只需要对话框说一句话， 就能生成可交互的专业图表， 手机网页全量上线，随时随地都能用， 1/5 演示丝滑到离谱 问"全球GDP前10国家"，秒出带精确数值的柱状图， 追问"过去10年增长趋势"，自动转折线图， 再问"各国能源结构"，生成悬停看百分比的圆环图， 全程不用切任何软件，不用复制粘贴任何数据。 2/5 真正的生产力革命 以前做个图表：找数据 → 复制到Excel → 选类型 → 调格式 → 导出 现在做个图表："帮我把这些数据画成饼图" 耗时从10分钟变成3秒钟，门槛直接降到零。

译ChatGPT 更新，可在对话框直接生成可交互专业图表，手机和网页端全量上线。演示显示：问"全球GDP前10国家"秒出带数值柱状图，追问"过去10年增长趋势"自动转折线图，"各国能源结构"生成悬停查看百分比的圆环图。全程无需切换软件或复制粘贴数据。官方引用推文确认：可直接在 ChatGPT 中将数据转化为图表，现已可用。作图耗时从传统10分钟压缩至3秒，零门槛。

Josh Woodward@joshwoodward · 6月9日67

The new killer NotebookLM feature: easily being able to expand your search beyond your own source files Then, with today's update, you can also make new output formats: PDFs, DOCX, XLSX, PPTX, charts, etc. We want NotebookLM to keep helping you do better research

译NotebookLM 今日迎来重大升级，对话中新增智能体能力与更强推理，并可搜索用户源文件之外的网络内容。同时支持导出为 PDF、DOCX、XLSX、PPTX 及图表等新格式。该更新已向 Google AI Ultra 订阅者开放。

🚨 AI News | TestingCatalog@testingcatalog · 6月9日76

WWDC 🔥: Apple has announced a new Siri AI, along with a dedicated app, customizable voices, screen and visual understanding, and more! The Siri app is supported across most platforms, including VisionOS!

译WWDC 🔥：苹果宣布推出全新Siri AI，以及专用App、可定制语音、屏幕和视觉理解等功能！ Siri App支持大多数平台，包括VisionOS！

🚨 AI News | TestingCatalog@testingcatalog · 6月9日70

Most of Siri AI features on one screen 👀

译Apple在WWDC宣布推出全新Siri AI，配备独立App、可定制语音、屏幕与视觉理解等功能，Siri App支持包括VisionOS在内的多平台。主推文感叹：“大部分Siri AI功能齐聚一屏👀”

🚨 AI News | TestingCatalog@testingcatalog · 6月9日69

WWDC 🔥: A new Apple Intelligence powered by Gemini, conversational Siri AI, updated image editing, and loads of AI features across many Apple apps. Siri AI will launch in beta later this year. Initially, Siri AI won't be available in the EU.

译WWDC 🔥：全新Apple Intelligence由Gemini驱动，对话式Siri AI，更新的图像编辑，以及众多苹果应用中的大量AI功能。 Siri AI将于今年晚些时候以测试版形式推出。初期，Siri AI将不会在欧盟上线。

Chubby♨️@kimmonismus · 6月9日48

Apple Intelligence sounds like a very good update. But did I miss all the relevant (nerd) stuff like paramters, evals in benchmarks and what not? Hopefully on their website

译Apple Intelligence 听起来是一个非常好的更新。但我是否错过了所有相关的（极客）内容，比如参数、基准评测等等？希望官网上有。

OpenAI Developers@OpenAIDevs · 6月9日53

http://x.com/i/article/2064021561112150016 # May for OpenAI Developers May put Codex in more places you actually work. Here’s what changed for developers building with OpenAI. We had 5/5, 5 million Codex users, and a very full commit history: Codex pets entered the chat: You hatched your own: You can now keep Codex moving from the ChatGPT mobile app: Your Mac can keep running Codex while you step away: Computer use lets Codex work across your Mac apps: Codex can test web apps, gather context from your tabs, and use DevTools with the Chrome plugin: ⌘+⌘ now sends screenshots straight into a Codex thread: Windows builders, computer use is in your developer loop now: The Codex loop got easier to customize, automate, and recognize: The Realtime API got new models for voice agents, live translation, and transcription: We tested Realtime-2 in voice-controlled CRM and standup workflows: Building with Realtime-2? Start with the prompting guide: The Agents SDK got TypeScript support, sandbox agents, and an open-source harness: Private MCP servers can now connect to OpenAI products over outbound HTTPS: For builders who want the under-the-hood details behind OpenAI products, here are a few deep dives from our team: That’s the May commit history. Follow @OpenAIDevs on X to stay up to date.

译OpenAI Developers 五月发布多项更新：Codex 用户突破 500 万；新增 ChatGPT 移动端持续运行、Mac 后台运行、跨 Mac 应用电脑使用、Chrome 插件支持网页测试与 DevTools；⌘+⌘ 快捷键截图直达 Codex；Windows 版也支持电脑使用。Realtime API 推出新模型 Realtime-2，用于语音智能体、实时翻译与转录，并提供提示词指南。Agents SDK 新增 TypeScript 支持、沙箱智能体和开源 harness。私有 MCP 服务器可通过 HTTPS 连接 OpenAI 产品。

🚨 AI News | TestingCatalog@testingcatalog · 6月9日68

WWDC 🔥: New Apple Intelligence is built on top of Apple Foundation and Gemini models! Let's see what's inside 👀

译WWDC 🔥：新的Apple Intelligence基于Apple Foundation和Gemini模型！ 让我们看看里面有什么👀

Chubby♨️@kimmonismus · 6月9日38

Apple Intelligence: -Personal Understand in apps. - Browse tools for web - on screen Awareness - in App usage

译Apple Intelligence: - 在应用中的个人理解。 - 网页浏览工具 - 屏幕感知 - 应用内使用

Chubby♨️@kimmonismus · 6月9日52

Siri update - image understanding - more conversational - reworked voice-tone / sound. Sounds real human

译Siri 更新 - 图像理解 - 对话更自然 - 重制语音语调/声音，听上去像真人

Rohan Paul@rohanpaul_ai · 6月9日49

AheadForm Elf V1 humanoid robot is slowly revealing its body design: its bionic skin uses magnetic attachment, making it easy to take off. This exposes the servo engines that power its facial expressions with 30 artificial facial muscles.

译AheadForm Elf V1 人形机器人正在逐步展示

Google Gemini@GeminiApp · 6月9日54

We asked Gemini 3.5 Flash to bring back the classic early-2000s PC drawing experience, and it delivered in one shot. What are you building first with Canvas?

译我们让 Gemini 3.5 Flash 重现经典早期 2000 年代 PC 绘图体验，它一次就做到了。 你打算先用 Canvas 构建什么？

NotebookLM@NotebookLM · 6月9日67

Forget about our users? Who? Us??? Please. These updates are rolling out globally on the web starting with Google AI Ultra and all Workspace business customers with AI Ultra Access and AI Expanded Access, however we *absolutely* plan to expand to others over time!

译NotebookLM 迎来重大更新，在对话中新增智能体能力、更高级推理及多种新输出格式，旨在简化复杂多步骤研究。该更新面向 Google AI Ultra 订阅者以及拥有 AI Ultra Access 和 AI Expanded Access 的 Workspace 业务客户率先推出，后续计划扩展至更多用户。

🚨 AI News | TestingCatalog@testingcatalog · 6月9日48

GOOGLE 🔥: @NotebookLM now supports advanced agentic reasoning in chat and new output formats, including Excel sheets and images. Only Ultra subscribers 👀

译GOOGLE 🔥: @NotebookLM 现在在聊天中支持高级智能体推理，并新增了包括 Excel 表格和图片在内的输出格式。 仅限 Ultra 订阅用户 👀

🚨 AI News | TestingCatalog@testingcatalog · 6月9日66

OPENAI 🔥: Users can now generate interactive charts from data and comparisons in @ChatGPTapp for web and mobile. Testing time 👀

译OPENAI 🔥：用户现在可以在 @ChatGPTapp（网页和移动端）中从数据和比较生成交互式图表。