#xAI

I was the opening act for a family of ducks. Thank you, Berlin. What a GTC. Europe is building its AI ecosystem and economy, from AI factories to agents to robots. DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence. Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do.  NVIDIA OpenShell enhances safety. Physical AI: new customers across AI-RAN, robotaxis and robotics. Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC. Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome. And to our partners and NVIDIA teams: thank you for making it happen. The keynote is here: https://youtu.be/rF1EsryCAwc

I've been GrokBot pilled. First of all, Grok knows me better than other bots, like Meta Muse, thanks to the 300,000 posts I've done here for 20 years. But now that GrokBot @bot can read lists, it opens up powerful new personalized news capabilities. I've done this for about a year over on https://alignednews.com -- but last month my X API bill alone was $6,000. For a couple of hundred a month you can do the same with lists, either you create, or ones other people have created. Last night I stuck in my "best in AI" list and had it write me this news page: https://docs.google.com/document/d/1PEfkIbGmvw_SIJJSDvJ-gSbBM5KwXWKVeimiMsQUW-Y/edit?usp=sharing Every hour my bot reads that list and builds me a new news page. Now I've only put about 10 minutes of effort into this so far. So it's not the prettiest thing you ever have seen, but my bots are working on other ways to present them to me. And you can do the same for any topic you care about. You just need to build a list, or find one that's already built and there are millions of lists here on X on literally any topic. Put your favorite football team onto a list, along with all your favorite journalists or other fans. Then have Grok bot read them for you. And that's just the start. You can have it write you a script based on the news, then copy that into, say, @Gemini_Notebook and then you get a podcast, or a video. Based on what people are saying on your topic here on X. Thank you so much X for making lists far more powerful than they ever were before. Makes the thousands of hours I've put into mine over 20 years so much more useful. Tips? Start small. You can chew through your tokens very quickly. It's amazing how good it is with a small list, like this one, which is what created the page up above: https://x.com/i/lists/1953536336675365173?s=20 (Best AI accounts I've found out of 70,000 here on X). Don't over hit it. You only need your bot to read the list every hour. Maybe even less. If anything is really important it gets reshared into lists, so the bot doesn't need to hit it often to build you a really great set of things that are important to pay attention to. I've been begging for this capability for years. THANK YOU X!

Grok Bot can now build reports, memos, and dashboards. Ask Bot for a page, then edit it together or have Bot keep it up to date.

Former $GOOGL employee on why data center capacity and electricity are the real bottlenecks, not GPU production itself, and how unreliable some of the neoclouds are ($AMZN, $GOOGL, $MSFT, $NVDA): 1. According to the expert, open-source models are closing the gap with frontier models faster than expected, with customers increasingly replacing Anthropic and OpenAI models in multi-agent architectures with open-source alternatives starting from Q2 of this year. The shift started with simple tasks like tool calling and MCP, but has moved up the stack to low-level orchestration. 2. The expert identifies capacity as the biggest constraint at the moment, with certain companies' traffic growing 5x while GPU availability, particularly in the U.S. where latency requirements are tightest, simply cannot keep up. Sourcing capacity overseas in Asia or Australia is technically possible but adds latency that most customers will not accept. 3. Hyperscalers offer reliability but are expensive, require multi-year commitments of three or more years, and have limited availability of the latest hardware, with customers already chasing B300s. AI-native companies tend to gravitate toward neoclouds due to hyperscaler pricing and contract rigidity, but neoclouds come with their own reliability issues, with GPUs dropping off unexpectedly and requiring engineering resources to manage fleet stability around the clock. 4. The third tier consists of smaller independent operators who have invested in GPU racks, seeing the opportunity to lease out capacity and recoup costs within a year or two, with the remainder being pure profit. The expert describes these as essentially unusable in practice, with operators who do nothing more than find land, install racks, connect electricity, and set up cooling, with no real cloud management, maintenance, or operational expertise behind them. 5. The expert expects overall GPU availability to increase meaningfully over the next year or two, with $NVDA continuing to ramp production. The real bottleneck is not GPUs themselves but data center capacity and electricity in the U.S. On the supply side, the expert also sees players $SPCX beginning to lease out spare capacity to the market, with more likely to follow. 6. The expert notes that U.S.-based neoclouds typically require 20-30% prepayment upfront, with the remainder paid monthly or quarterly over the contract term, and rebates negotiated at the end for any reliability incidents like traffic loss. APAC-based providers operate differently, with no prepayment required at all. found on @AlphaSenseInc

This happened when I tried to get my Grok Bot to order stuff for me on Amazon. “Continued access by an unauthorized AI agent violates Amazon's Conditions of Use, to which our customers have agreed.” My bots can no longer access Amazon for orders or anything.

Grok @bot booked a flight for me today the entire process was really really easy…..I send a photo of my credit card and it did the entire process…. Tbh, last time I booked, the website was way too confusing…. It’s not an easy website, and Grok Bot did perfectly well and booked a flight for me…. And I got a message for a booking confirmation….going to board it soon

Introducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model. It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.

An email from noreply@x.ai landed in my inbox, passed SPF, DKIM, DMARC, and had the blue check Something felt off, so I asked @bot to do a security review. It found a hidden phishing link, explained why every safety check passed, wrote a report to xAI - including proposed fix!

Gemini 4 Argon 来了。 今天起面向全球开发者与企业开放，可通过 Gemini API 和 Gemini 平台的付费层级使用；Ultra 订阅者可在 Google Antigravity 中使用；Ultra 和 Pro 订阅者可在 Gemini 应用和搜索中使用。 希望大家喜欢！

Bro… you still open websites, add things to your cart, and type in your credit card info just to buy something online? I just text my @bot what I want, and it handles everything. Literally finds it, checks out, places the order, and sends me the receipt. I don’t even open a single website. The future of shopping is having your own AI do it for you. Browsing websites and doing all these things yourself is so… 2025. 🤣

This feels unreal Used Grok Bot today, mostly from my phone I got more done from my phone with Grok Bot than I usually do sitting at my desk - Colab notebooks for Google EmbeddingGemma 2, D1 by LiquidAI inference - Colab notebooks for open source decision models finetunes using Qwen3.5-4B and Gemma 4 E4B as base - Put up a Grok Bots page on my website with all the templates I've been sharing - Worked on the MiniMax H3 face-swap clip - Figured out what's eating my Windows drive and how to free space - Created Security bot and told it to treat outside content as hostile, especially anything that might touch my computers - Worked with my stocks bot on scheduled market updates, news and recommndations

"Everything I touch with my keyboard and mouse, I try to delegate to my bots." Here's my new episode with @poteto and @pengzheng_, the eng and design leads for Grok @bot, where they showed me the 14 bots they use for work and life, including: → A design bot that turns one keyframe into a full user flow → An eng lead bot that manages a team of eng bots → How to trust your bots with more of your work Some quotes from both: "I like to call it the Michelin kitchen…when you say software factory, it has this connotation of mass manufactured slop." "Sometimes I actually don't even look at the PR until after it's landed and then I'm like, 'Oh, okay. Yeah, that looks good.'" "I think it ultimately comes back to trust. First, watch your bot work and correct it. Turn what worked into a skill. Once it nails the task in one shot, make it a routine." 📌 Watch now: https://youtu.be/xZ5TEaleUdg Thanks to our sponsors: @meetgranola: AI meeting notes that don’t suck https://granola.ai/peter @RiversidedotFM: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang

.@Grok in your Tesla can now do meaningful work for you With Connectors, you can manage your inbox, clean up your calendar, or talk through existing files/chat/tasks – all hands-free

Grok 4.7 在 Artificial Analysis Intelligence Index 上得分 46，将 SpaceXAI 带入前 4 大 AI 实验室之列。Coding Agent Index 表现也有所提升，超越了 GPT-5.6 Sol Grok 4.7 在 Intelligence Index 上比 Grok 4.6 高出 +2 分，在智能体知识工作任务上表现强劲。我们在 xhigh 推理强度下评估了这款新模型。 祝贺 @SpaceXAI 和 @ElonMusk 发布！ 核心要点： ➤ Grok 4.7 跻身智能体知识工作前沿：Grok 4.7 在 AA-Briefcase（我们用于长时程智能体知识工作的私有基准）上比 Grok 4.6（high）提升 +111 Elo，得分 1657 Elo，与 Claude Opus 5 和 Claude Fable 5.1 一同位列前沿。在 GDPval-AA 上，它得分 1695 Elo，领先 Grok 4.6（high）+90。 ➤ 编码智能体性能的飞跃：Grok 4.7（xhigh）搭配 Grok Build 在 Artificial Analysis Coding Agent Index 上得分 56，比 Grok 4.6（xhigh）提升 +9 分。在原生 harness 中的模型里，Grok 4.7 + Grok Build 目前排名第 4，仅次于 Claude Fable 5.1、GPT-6 Astra 和 Claude Opus 5。 ➤ 其他方面的渐进式性能变化：在智能体知识工作之外，Grok 4.7 在 Intelligence Index 的其他任务上大体与 Grok 4.6（high）持平。它在 Terminal-Bench 4.0（+4.5 个百分点）和 GDP.pdf（+3.0 个百分点）上有所提升，但在 AA-LCR（-3.7 个百分点）和 AutomationBench-AA（-1.1 个百分点）上出现退步。 ➤ 任务中 token 使用量偏高：Grok 4.7 的性能提升伴随着更高的 token 消耗。Grok 4.7（xhigh）在每项 Intelligence Index 任务中约使用 81k 输出 token，而 Grok 4.6（high）为 36k，GPT-6 Astra（max）为 27k——分别多出 125% 和 196%。 其他模型细节： ➤ 上下文窗口为 500k token，与 Grok 4.6 保持一致 ➤ 定价为每 1M 输入/输出 token 2 美元/6 美元，缓存命中可享受折扣，降至每 1M token 0.50 美元，与 Grok 4.6 相同 ➤ 可配置的推理强度从 low 到 xhigh。我们的评估使用 xhigh。

Grok Bot 对 SpaceX CFO Bret Johnsen 今天在高盛 Communacopia 大会上的发言总结。 垂直整合 垂直整合是公司的核心运营模式，而非一项辅助战略。 - 火箭：自产金属 → 发动机 → 航电 → 软件 - Starlink：自有发射、卫星和终端客户 - AI：自建设施和电力，运行自有模型，面向消费者和企业销售，很快还将涉足轨道计算 星舰与发射 星舰是其他所有业务的基础。 - 第13次飞行：一次重要的学习性飞行。交付了演示版 V3 载荷，重新点燃了一台 Raptor 发动机，并实现了柔和、精准的第二级溅落。回收团队将第二级拖回，以便工程师研究隔热罩。 - 这些经验将直接用于第14次飞行及后续任务。 - 第14次飞行（本月晚些时候）：首次创收的星舰飞行，搭载量产版 V3 Starlink 卫星。 - 今年晚些时候：目标回收第一级和第二级。 轨道计算 大多数 AI 行业人士都认同轨道计算是未来。几乎其他所有人都认为这还要很多年。SpaceX 不同意，因为他们掌控着整个技术栈。 - 目标：明年发射首批轨道计算卫星 - 规模：到2028年实现太空中的大规模计算 - 硬件方案：使用与 Starlink 相同的 V3 平台，更换载荷，加装更大的太阳能阵列 为什么轨道在成本上能胜过地面 这一交叉点取决于星舰的可重复使用性。 - Falcon 9：自2015年12月起实现第一级复用；助推器已复飞500多次 - 星舰：第一级已回收/复飞；第二级回收正在推进 - 目标：最早明年实现两级复飞，这将大幅降低部署成本 地面计算正变得越来越昂贵（电力、冷却、建筑、房地产）。轨道则沿着相反的曲线发展：更便宜的火箭 + 更好/更便宜的卫星 + 规模。Johnsen 表示，成本持平最早可能在明年实现。 地面计算与1000亿美元 ARR 目标 - 今年年底：有望实现约1000亿美元 ARR（按12月数据年化） - 最新进展：本月早些时候又达成一项托管协议 → 从12月1日起约11亿美元/月 → 约增加130亿美元 ARR - 产能：今年年底远超2 GW；明年部署5–10 GW - 信心来自对电力、设施和许可的清晰可见性，以及作为 NVIDIA 分配独家合作伙伴 - 他们为自己和行业合作伙伴快速搭建算力，这加强了与 NVIDIA 的关系 他们如何将计算变现 大多数托管协议都是短期的：约90天，附带90天退出条款（约6个月承诺期），包括最新那笔交易。 为什么保持短期？ - 对自家产品高度自信（Grok、Grok Bot、完成交易后的 Cursor 团队） - 不想永久锁定内部可能需要的产能 - 内部标准：不让内部变现低于外部托管 明年的财报框架：大致每瓦30–50美元的变现区间；他们表示自己处于高端。托管客户的变现似乎更高，这就是需求保持强劲的原因。 新计算资本开支的回本周期不到一年，因此剩余 GPU 价值和融资选项看起来很有吸引力。“并非所有 CapEx 都一样”——回本不到一年的 GPU 与为使用数十年而建造的发射塔不同。 AI 产品与并购 历史上 SpaceX 几乎全靠有机增长。今年他们进行了并购，因为 AI 产品周期奖励的是快速抵达前沿。 - 几周前完成 Cursor 交易；产品周期已在加速（特别提到 Grok Bot） - Grok 4.6 较 4.5 有所改进；4.7 即将推出 - 卖点：最佳基础设施 + 有竞争力的模型 + 更低的 token 成本 = 为客户提供最佳定位 - 市场情绪转变：几个月前人们买账基础设施故事，但怀疑产品；约90天后，这种怀疑正在消退 Starlink 宽带 起步时是“有总比没有好”（约2020–21年）。如今已是企业级，具备强大的正常运行时间/SLA。 - 韧性卖点：如果你宕机，董事会会问为什么网络里没有 Starlink - 移动性：飞机积压订单庞大，生产正在爬坡；邮轮、游艇、火车也是如此 - 认知度，尤其是美国以外，仍是增长解锁点 - 更长期：物理 AI（机器人、汽车、飞机）将需要地面网络无法完全覆盖的始终在线连接 移动 / 直连手机 并非分心之举。相同的 V3 平台，不同的载荷。 - 明年持续发射直连设备卫星 - 目标服务开通：2028年上半年 - 今天的 V1（例如 T-Mobile / T-SAT）：短信 / 轻量语音，非常适合紧急情况和盲区 - 下一代：来自太空的完整 5G 质量 - 美国：来自 EchoStar 的中频段频谱，FCC 对太空 + 地面的审批路径 - 市场进入：灵活——自建地面网络，或与运营商合作 - 国际：与宽带相同的逐监管机构推进策略（Starlink 现已覆盖170多个国家） 近期优先事项： 1. 星舰（赋能其他一切） 2. 地面计算（为增长提供资金，并教会他们如何做轨道） 一句话总结 掌控全栈，让星舰实现规模化可重复使用，现在用地面的 AI 计算作为现金引擎，并用相同的卫星平台 + 星舰节奏赢得宽带、移动和轨道 AI。

one real issue I have with various agents now is "where is this code going to run" - does it need access to my local filesystem - can I fire it off from my phone and if so does it run on the cloud or needs my Mac mini fired up / synced? The current UX metaphors around this seem to need work.

Cloud agents now start 3x faster so you can hand them ambitious, long-running tasks to execute from start to finish. This performance improvement comes from builds: ready-to-use development environments that Cursor prepares continuously in the background, at no additional cost.