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Meta 在 Connect 2026 正式发布 Meta VR Glasses！这是一台售价 1300 美元、约 100 克的眼镜式头显，计算与供电全靠外置 Puck，和 Vision Pro 不一样；Puck 搭载高通 Snapdragon Reality Elite，跑与 Quest 3 相同的系统，靠更强芯片和眼动注视点渲染做到更高分辨率。 其形态上和 Quest 差别很大：头显本身几乎没有计算，连 tracking 协处理器都没有，镁合金镜框、被动散热、开放周边视野——侧向和下方能直接看到真实世界。 双屏 120Hz、2412×2288 HDR micro-OLED，是 Meta 自初代 Oculus Quest 以来首款非 LCD 头显，支持 Dolby Vision，也是首款支持 Dolby Atmos 音景的 VR 设备。代价是视场角偏小：水平 70° × 垂直 66°，对角约 87°，远低于 Quest 3 的约 110° × 96°；装上可选遮光片时沉浸感会弱很多，但摘掉遮光片做透视时，周边自然可见反而是优势。Meta 把它定位成「能塞进包里的影院、场边座位和工作空间」。 和 Xreal Aura 一类 Android XR 眼镜比，它用 VR 式透视、更大对角 FoV、更高分辨率、全不透明，还带眼动和可选追踪手柄。内容侧会扩一批手势追踪的 VR / MR 游戏（含 Beat Saber 新手势模式 Flux）。 首发还有 Hologram：可像 Vision Pro 的 Personas 一样，以逼真面部追踪形象现身，并在其他 Meta VR Glasses 用户前以真人尺度出现。Meta 计划逐步做成真正 6DoF 3D，最终取代卡通 Meta Avatars，成为平台默认形象。

ClusterMAX 3.0 is here! ClusterMAX 3.0 debuts with a comprehensive review of the neocloud industry, covering 77 providers. We increase our market view to cover 323 providers, up from 209 in ClusterMAX 2.0, 169 in ClusterMAX 1.0, and 124 in the original AI Neocloud Playbook and Anatomy article. We have now interviewed well over 200 end users of neoclouds as part of this research. We update our itemized list of criteria across 10 categories, and update our direct descriptions of our expectations for Slurm, Kubernetes, Standalone Machines, Monitoring Dashboards, and Health Checks. All of this content is live on our website. We encourage providers to use these lists when developing their offerings. We still consider these lists as an amalgamation of our experience interviewing end users, making them representative of the features that end users expect from their cloud providers. Nebius joins CoreWeave in the Platinum tier. While CoreWeave still sets the technical bar for others to follow, Nebius is now established as a provider that consistently commands a premium pricing over others. Strong business decisions by Nebius have put them in a position to serve an entire class of neolabs at seller’s prices. Google Cloud joins Oracle in the Gold tier. Azure moves to Silver, Fluidstack moves to Unavailable, and Crusoe drops to Bronze. Lambda, Firmus and TensorWave remain in Silver, while GMI moves up to Silver from Bronze. Many companies drop from Silver (or Gold) to Bronze or lower. We raise the bar this round as only 19 neoclouds globally achieve a Medallion rating. We establish a tier between Bronze and Underperforming: the Participation Ribbon tier. 15 providers join this rating, which more accurately describes our opinion that they do the bare minimum to get by.

💰 Passed $10M/y in revenue + investment gains this year I've always been aggressively increasing my profit margins to as high as possible, especially the last few years, and especially this year where I've reduced my SaaS dependencies to just a handful of companies by vibecoding my own replacements It's now about 94.5% profit! Spend less -> lower costs -> more profit -> more money saved -> more money to invest -> more % returns on investments And at some point that investment return starts to pass by your business revenue which it has for me for about a year now Most of my investments have been simple ETFs like Vanguard S&P500, but also a few lucky stock and startup bets that worked out: Back in 2022, I couldn't get any available GPUs, so I thought it might be smart to buy Nvidia if there's such a shortage and that was a good bet too Then back in 2023 @dannypostma recommended me to invest in the companies we used for our AI inference for our photo AI apps, so I did that too. First I invested in @replicate and then also @FAL From then I just asked every app/service I used if I could invest, like @cursor_ai in 2025 which then got acquired by @spacex recently! My business revenue has remained very stable at about $200K-$250K/mo, but even with that investment returns have now surpassed that Investments fluctuate a lot so some years it's up some years it might be down a lot (who isn't expecting a big crash at some point?), and most investment gains are unrealized (I never sell!), so keep that with a big grain of salt! I keep my revenue/gains together with my profit margin and my sleep score in my situation monitor dashboard, as those are equally important :D Many people in the last decade told me to spend all my money, either personally or with my business to grow it, we don't know how that would have ended up, maybe my companies would be bigger, but I'm happy I did it in my own lean profitable healthy way and it ended up great I think! 🙏😊

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

Gavin Baker says Grok Bot feels like another ChatGPT moment because it turns hours of Claude Code work into seconds: "You see these 23-year-old kids and just the way they use AI, they're just fluent and native in it. I just feel like maybe in a way that no matter how hard I try, I will never be, and I'm trying really hard." "We got Claude Code. I built some stuff, did some cool stuff, and in, I don't know, 3 minutes of creating Grok Bots, I had much better versions of everything I created." "I love having a podcast summarizer... It takes 10 seconds in Grok Bot. It's amazing, and it's so good." "A Substack summarizer, an X summarizer, an X sentiment tracker for topics and stocks... All of those would have taken me hours working with Claude Code, and they each took 7 to 12 seconds with Grok Bot. And it's better." "To me, Grok Bot does feel like another ChatGPT moment." @GavinSBaker @DavidGeorge83

81.5K 🌟 Anti-Slop 前端设计品味 Skills Taste Skill - @LexnLin # 13 个 Skill 分两类：代码输出实现、图像生成 1. 代码输出实现类 · taste-skill（默认，v2 实验版）：通用技能，约 1200 行 · taste-skill-v1：旧版保留，供依赖精确行为的用户钉住 · gpt-taste：针对 GPT/Codex 的更严格变体 · image-to-code："先生成参考图 → 分析 → 再写代码"流水线 · redesign：存量项目，先审计再改造 · soft / minimalist / brutalist：三种既定视觉方向（高端柔和 / Notion 式极简 / 工业粗野） · output：强制完整输出，禁止占位符截断 · stitch：输出 Google Stitch 兼容的 DESIGN.md 2. 图像生成 imagegen-frontend-web、imagegen-frontend-mobile、brandkit，用于配合图像模型生成设计参考稿，再交给 Coding Agents 实现 # taste-skill (v2) 的方法论 §0 简报推断：先"读空气"——页面类型、氛围词、参考链接、受众、隐性约束，输出一行 Design Read；歧义时只准问一个问题。核心论点是：LLM 设计差的根源是跳过理解直接套默认审美。 §1 三旋钮配置：DESIGN_VARIANCE（布局实验度）、MOTION_INTENSITY（动效深度）、VISUAL_DENSITY（信息密度），各 1-10，并附"信号 → 数值"推断矩阵和场景预设表。 §2 设计系统映射：简报指向 Fluent / Material / Carbon / Polaris / GOV. UK 等时，必须用官方包而非手写仿造；对玻璃拟态、Bento 等"无官方包的美学"则要求诚实标注为实现近似（如明确声明不存在官方 liquid-glass.css）。 §4 设计工程指令：大量从实测失败中提炼的硬规则——Serif 纪律（禁默认 Fraunces/Instrument Serif）、"LILA 规则"（禁默认 AI 紫）、高端消费品"米色+黄铜"色板禁令及替代色板轮换、Hero 纪律（标题 ≤2 行、副文 ≤20 词）、Eyebrow 标签每 3 个 section 最多 1 个、颜色/圆角/主题三把"一致性锁"等。 §5 动效规范：给出 GSAP Sticky-Stack、横向滚动劫持、Motion 渐显的规范代码骨架，并硬性禁止 window.addEventListener('scroll') 等反模式。 §9 AI 破绽目录 + 破折号全面禁令：编目了数十种"看起来很 AI"的签名式模式（编号 eyebrow、装饰性状态点、div 假截图、"Quietly in use at" 文案等），其中 em-dash 被列为"头号破绽"全面禁用。 §11 改版协议：区分绿地/保留式改版/颠覆式改版，先审计后动手，明确列出"不得静默更改"清单（URL、导航标签、表单字段、品牌标识、法律文案），并指出 SEO 迁移是改版头号风险。 §14 出厂前检查：约 60 项机械化清单，任何一项不过即视为未完成。