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8月21日周五
  1. Qwen28

    新鲜配方刚出炉!⚡ Qwen3.8-27B 的 NVFP4 + DFlash2 现已收录进 SGLang cookbook。感谢支持!@sgl_project

    引用SGLang@sgl_project

    Just pushed DFlash2 (@inco_ai) recipes to the Qwen3.8 27B cookbook⚡️ https://docs.sglang.io/cookbook/autoregressive/Qwen/Qwen3.8-27B The community has been seeing great results with NVFP4 + DFlash2, and these recipes should be some very good starting points to play with. More Qwen3.8 27B updates on the way 🫡

  2. lauren27

    开发者将 Grok Bot 设为 CTO,让其接管 GitHub 仓库、启动云端智能体并跟踪 PR,任务复杂时启用 poteto-mode。通过第二段提示词,主智能体可招募子智能体分工处理 PR、Convex 后端和认证,开发者仅以只读方式查看线程。该工作流 token 消耗极高,单日可超 20 亿,需将 pstack 插件仅用于困难任务;它不替代工程师,只是让开发者脱离协调角色。

    引用Ray Fernando@RayFernando1337

    I Turned Grok Bot Into My CTO. I hand that bot the GitHub repo and tell it to run the show, so it spins up cloud agents off my machine, follows the PRs, and reaches for poteto-mode when a task actually needs the rigor. Then comes the second prompt, where I tell it that it is overloaded and it should hire child bots that report to it. After that the bots talk to each other instead of talking to me. One lands the PRs, one works the Convex backend, one owns auth, and I read the threads view-only. Two honest things before you copy this. It burns tokens. I went past two billion in a single day because I told my bot to use pstack for everything, and the fix was saving pstack for the hard tasks. And it does not replace engineers. It takes me out of the coordinating seat, which is a different claim. Timestamps 00:00 The Grok Bot CTO Workflow 01:23 Direct Responsible Agent Prompt 04:20 pstack Plugin and poteto Mode 08:46 Token Consumption Warning 11:49 Spinning Up a Team of Bots 17:20 Advanced GrokBot Use Cases

  3. Rohan Paul35

    Meta 的 Muse Spark 1.2 在 Design Arena 视频转网站基准测试中位列第一,Elo 评分 1279,并在图像转代码任务中均进入前三。该模型在图像转 HTML 和图像转前端任务中分别以 1252 和 1272 的 Elo 评分位居第二和第三。其定价为每百万输入 token 1.25 美元、每百万输出 token 4.25 美元,在三个类别中均处于价格偏好帕累托前沿。

    引用Design Arena@DesignArena

    BREAKING: Muse Spark 1.2 by @AIatMeta takes 1st for Video-to-Website with an Elo rating of 1279 and impressive scores across all of our multimodal code categories. Muse Spark 1.2 also takes 2nd for Image-to-HTML with an Elo rating of 1252 and 3rd for Image-to-Frontend with Elo rating of 1272. At $1.25/1M input tokens and $4.25/1M output tokens, it lands on the price-preference Pareto frontier for all three categories. Congrats to the @Meta team on the achievement!

  4. Elon Musk20

    Grok 4.6 在 Artificial Analysis Agentic Index 上以 59 分与 Claude Opus 5 (max) 并列第一,超越 Claude Fable 5 和 GPT-5.6 Sol。该评测聚焦工具使用、规划、自主性与复杂问题解决。作为 Grok Build 和 Grok Bot 的底层模型,其智能体能力正持续增强。

    引用X Freeze@XFreeze

    Grok 4.6 just tied for #1 on the Artificial Analysis Agentic Index • Grok 4.6 (high) — 59 • Claude Opus 5 (max) — 59 Outperforming Claude Fable 5 and GPT-5.6 Sol We’re entering the agentic era, and this is exactly the kind of benchmark that matters so much: tool use, planning, autonomy and complex problem solving Grok 4.6 is now sitting at the very top And that matters even more as Grok powers Grok Build and Grok Bot, where the model has to go beyond answering questions and actually take actions, use tools and complete real work Grok’s agentic capabilities are getting seriously powerful

  5. Elon Musk32

    用户 @startupstella 实测 Grok Bot,称其为 Cursor + SpaceX 团队(名为 SpaceXai)推出的新 AI 助手,比 Claude 和 ChatGPT 更易用且无需设置。

    引用Stella Garber@startupstella

    Goodbye mental load....hellooooo @bot ! I know, I know. Grok Bot seems like it must be the next new thing for tech bros cold plunging in Patagonia vests, but hear me out moms (yes moms because disproportionately, the mental load falls more on moms than dads). Offload that mental load to AI and watch things just get done. Is it perfect? No. Is it amazing? Absolutely. Grok Bot is the new AI assistant from the team at Cursor + SpaceX (they're calling it SpaceXai). It's surprisingly useful and easy for non-technical people to use, and it can do a whole heck of a lot more than Claude and ChatGPT with little to no setup. Here are actual things that Grok Bot did for me this week (almost completely independently): - Looked through back to school emails and made sure I was prepared with everything that needed to be done for multiple kids. Mental load unlock: 100% I would've forgotten to pack a space change of clothes for my kindergartner on her first day. - Found 3 gift cards I somehow forgot to use from the last year. Oh right, I DID buy 2 Gap gift cards from Costco on black friday! Duh. Mental load unlock: Cha-ching! That's $150 in my pocket. - Scheduled multiple appointments for me. I've been putting off my annual physical exam because who has time to call the doctor. Grok Bot looked up options, pinged me with 3 dates/times, then booked it (I just had to confirm Zocdoc on the last step). It created a calendar reminder! Mental load unlock: Moms, we often put off our own health/wellbeing. Finally! AI can help. I also had it schedule a hair appt and massage for later this month. Let's go AI! - Listed a Facebook Marketplace item and is managing the sale. I had purchased a wagon for my kids years ago that's been collecting dust. Grok Bot found the old listing, used the photos, and asked me what $$ I want to list at. It's going to manage the rest (wish me luck here). Mental load unlock: Who has time to sell their old crap? I sure don't. But AI has infinite time. Notice, none of these are work examples. I will do those in a separate thread. All of these things are being done in the background, and I'm only being asked to approve or provide the AI direction. Don't be intimidated! Literally, if you've used WhatsApp or iMessage you can use Grok Bot with NO TRAINING. AMA I'm blown away by this tech. Photo is of my home assistant (her name is Helen) independently ordering my kindergartner a photo from Walgreens that mama somehow forgot about. Oops.

8月20日周四
  1. Greg Brockman31

    OpenAI 推出可在浏览器中执行任意操作的智能体。用户 @clairevo 列举了其实际用例,包括关闭会计软件账目、管理 Gmail 收件箱、设置 Stripe Radar 规则、在 Midjourney 中迭代图片、完成安全问卷、注册会议及取消订阅等。该智能体还支持通过 iPhone 镜像在桌面端操作移动应用。

    引用claire vo 🖤@clairevo

    things i use codex browser/chrome/computer for - closing the books our accounting software - clearing my linkedin queue - managing gmail / clearing inbox - setting up stripe radar rules - iterating on images in midjourney - browser based QA on every PR - build inspo library from other websites - completing security questionaires - signing up for procurement systems - research + outreach for vendors who only have crummy online forms - configuring saas when API is not available - registering for conferences - cancelling subscriptions - using iphone mirroring to use mobile apps from my desktop (look ma, no hands!) what else should I be doing?

  2. Elon Musk24

    Grok Bot 被称最接近现实版 Jarvis,可同时启动业务、交付软件并制造爆款内容。4 分钟即可配置:安装后设为首席幕僚,输入“Digital Chief of Staff Prompt”提示词,并接入 X、Stripe 和 GitHub 权限。之后只需粘贴文章即可交给它处理。

    引用Avid@Av1dlive

    grok bot is literally the closest to a real life Jarvis it can literally start a business, ship software and make you go viral all at once here's how you do it (in 4 mins) 1. install grok bot and make your chief of staff (tony soprano) 2.give it the 'Digital Chief of Staff Prompt' prompt 3.give it access to X, Stripe and Github 4. you are done just paste the article and give it to your chief of staff no matter what it will be the most productive thing you do this week

  3. Elon Musk27

    马斯克转发用户@congressdj的体验,力荐Grok Bot。该用户自称非程序员,仅用数小时便通过Grok Bot连接Gmail,读取4万封邮件后自动完成报税,并找到3张60K积分兑换的日本头等舱机票。他还创建了多个智能体,用于政治信息更新、邮箱整理及关键决策确认。

    引用DJ@congressdj

    I am not a coder. I don’t work with CRM or play with spreadsheets. I’m about as removed from a “workflow” in my job as a kid flying a kite. I don’t really use AI beyond a super-Google level. So when I say Grok Bot is ABSOLUTELY GAME CHANGING, I don’t mean a better search tool. I mean it has fundamentally changed how I go about everything. And it did this in just a few hours. Let me explain. During the install, it asked if I wanted to connect it to several dozen programs. I don’t use a single one of them. So I thought, “Well, I’m not gonna get a lot of use out of this.” But I kept going. Then it asked if it could connect to my Gmail. I said yes. And that’s where the jaw-dropping began. It immediately figured out my life. It saw 40,000 emails and got a pretty good picture of me. So I asked it to do my taxes. It found all the docs needed in my email and did my taxes. I asked it to find first-class award tickets to Japan. It scoured the internet and logged into my airline accounts (with permission) and found 3 tickets to Japan in first class for 60K points. It would have booked them, but I’m still not sure of the dates I need so I stopped it. I created a few agents. One gives me an hourly political update based on key topics I need for work. One is cleaning up my Gmail inbox and organizing it. One is saving me money in my taxes. One makes sure it always checks with me on key decisions (like deleting an email). It’s absolutely insane. Think about it this way: If you could hire an assistant, what would you have them do? Start there, and have fun!

  4. MiniMax (official)24

    一周内观看量达 100 万 🫨 这是 AI 如何重塑内容创作的绝佳例证。很高兴看到 MiniMax 帮助这个 AI 角色活了起来 👩‍🍳💫

    引用Olivia Moore@omooretweets

    I made an AI influencer who got 1,200 followers and 1M views in a week - on less than $200. My stack: - Image gen/editing: @ChatGPT - Script / prompts: @ChatGPT - Sound effects: @ElevenLabs - Talking videos: @MiniMax_AI - Action videos: @imagine - Video gen: @krea_ai + @fal

  5. Elon Musk32

    Grok Voice Think Fast 2.0 在 VulcanBench 基准上同时超越 GPT Realtime 的文本与语音表现。在 200 道保留问题上,Grok 文本准确率达 99%,且从打字输入转为语音提问时几乎保持同等性能,同时响应速度显著更快。Grok 正成为能听、能想、能极速回应的实时推理模型。

    引用X Freeze@XFreeze

    Grok Voice Think Fast 2.0 just beat GPT Realtime across both text and voice on VulcanBench Across 200 held-out questions, Grok achieved an insane 99% accuracy in text while also delivering stronger performance when the same questions were spoken And the voice result is what makes this especially impressive Grok preserves almost all of that performance when moving from typed questions to spoken ones, while still completing the full response dramatically faster So Grok is not just getting better at voice It’s becoming a seriously powerful realtime reasoning model that can listen, think and respond incredibly fast

  6. Mustafa Suleyman37

    微软MAI-Image-2.5-Pro在Artificial Analysis图像编辑排行榜登顶第一,超越Reve 2.1、GPT Image 2及自家MAI-Image-2.5,文生图位列第七。该模型7月23日已在Microsoft Foundry预览,定价为每1M文本输入token $5、图像输入$8、图像输出$106,约合每千张1024x1024图像$108.5。

    引用Artificial Analysis@ArtificialAnlys

    Microsoft's MAI-Image-2.5-Pro debuts at #1 on the Artificial Analysis Image Editing Leaderboard, and takes the #7 spot in Text to Image MAI-Image-2.5-Pro is Microsoft AI's quality-focused image model, launched July 23 in preview on Microsoft Foundry. It joins MAI-Image-2.5 and MAI-Image-2.5-Flash in a family Microsoft positions as covering the quality-speed-cost curve, so builders can pick the point that fits their job. Pro sits at the quality end: Microsoft describes it as its highest-fidelity image model to date, aimed at hero imagery, detailed editing, and precise in-image text rendering. In the Artificial Analysis Image Arena, MAI-Image-2.5-Pro debuts at #1 on the Image Editing Leaderboard, surpassing Reve 2.1, GPT Image 2, and Microsoft's own MAI-Image-2.5. In Text to Image it lands at #7. On Microsoft Foundry, MAI-Image-2.5-Pro is priced per token: $5 per 1M text input tokens, $8 per 1M image input tokens, and $106 per 1M image output tokens, which works out to roughly $108.5 per 1k 1024x1024 images. That compares to $48 per 1k images for MAI-Image-2.5 and $20 per 1k for MAI-Image-2.5-Flash. MAI-Image-2.5-Pro is available in preview on Microsoft Foundry across seven global-standard regions, and can be tried out in the MAI Playground. Congratulations to @MicrosoftAI on the release! See below for comparisons between MAI-Image-2.5-Pro and other leading models in the Artificial Analysis Image Arena 🧵

8月19日周三
  1. Elon Musk26

    分享你的 Grok @Bot 设计给其他人! [引用 @karanC_12]:有人刚刚建立了一个包含 170 多个即用型 Grok Bot 的目录。 营销、销售、生产力、运营……应有尽有。 只需复制提示词 → 粘贴到 Grok → 完成。 而且它完全开源。 人们正在围绕 Grok 极速构建生态。

    引用KC@karanC_12

    Someone just built a directory with 170+ ready-to-use Grok Bots. Marketing, sales, productivity, ops… everything. Just copy the prompt → paste into Grok → done. And it’s completely open source. People are building around Grok extremely fast.

  2. Elon Musk31

    Grok 4.6 以约 95.9% 的成绩登顶 MedAgentBench,成为医疗智能体任务第一名。该基准在真实电子健康记录环境中测试 300 项临床任务,要求模型推理、使用工具并执行多步骤临床工作流。Grok 4.5(约 93.4%)与 GPT-5.6 Sol(约 94.7%)分列第三和第二。

    引用X Freeze@XFreeze

    Grok 4.6 just took the #1 spot on MedAgentBench....one of the most interesting benchmarks for real-world agentic healthcare tasks and Grok now has two generations sitting in the top 3 • #1 Grok 4.6 — ~95.9% • #2 GPT-5.6 Sol — ~94.7% • #3 Grok 4.5 — ~93.4% MedAgentBench goes far beyond answering medical questions It tests AI agents on 300 clinically derived tasks across 10 categories inside a realistic electronic health-record environment, requiring the model to reason, use tools and actually execute multi-step clinical workflows Grok 4.5 was already one of the strongest medical agents tested. Grok 4.6 just pushed it to another level Grok is rapidly becoming one of the strongest AI model families for agentic healthcare work

  3. eric zakariasson26

    关于 @vmg 如何构建 Origin 的精彩文章! 可视化也极其出色。 [引用 @cursor_ai]:我们正在让 Git 托管更可靠、更高性能、更具可扩展性。 这篇文章追溯了 20 年的 Git 基础设施历史,并解释了这段历史如何引导我们将 Git 存储 Origin 当作数据库来设计和运营。 https://cursor.com/blog/git-at-any-scale

    引用Cursor@cursor_ai

    We're making Git hosting more reliable, performant, and scalable. This post traces 20 years of Git infrastructure and explains how that history led us to design and operate our Git storage, Origin, as if it were a database. https://cursor.com/blog/git-at-any-scale

  4. Elon Musk24

    用 @Grok @Bot 清理你的邮箱。 [引用 @mikepat711]:Grok Bot 正在处理我两个 Gmail 账户中的 9 万封邮件,并清除垃圾内容。这是我自己从来不敢做的事。 祝你好运,伙计,放手去做吧。把它彻底清理干净。

    引用Mike P@mikepat711

    Grok Bot is going through 90,000 emails in my two gmail accounts and purging the bullshit. Something I've never dared to pursue myself. Good luck in there bud, do whatever you want. Just clean it tf up.

  5. Rohan Paul36

    3D编码测试显示,DeepSeek-V4-Pro-0813 在构建三个体素城市场景时消耗 20,957,568 tokens,是 Muse Spark 1.2(440,279)的 48 倍,总耗时 91 分 25 秒,费用 $4.57。

    引用thehype.@thehypedotnews

    gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: @nousresearch's hermes agent cli on @openrouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: @threejs r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: @googledeepmind gemini 3.7 flash, @deepseek_ai v4 pro 0813, @aiatmeta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow @thehypedotnews for 24/7 ai news, analysis and breakdowns