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#xAI

今日 1 条
今天10月1日周四
9月30日周三
  1. Tomer Tunguz 博客(VC 分析)60

    Tomasz Tunguz:AI 模型的用户留存介于社交网络与手游之间

    Tomasz Tunguz 提出 AI 如同一个漏水筛子,前沿模型平均保持领先约 41 天,用户留存率在个位数高位到约 40% 之间,介于社交网络(约 80%)与手游(百分之几)之间。同等智能水平的价格每年约下降 10 倍,如 Grok 4.5 以每任务 $0.31 达到 Intelligence Index 54 分,买家每 41 天获得更多议价筹码,创业公司可随每月赢家切换模型。

    推荐理由:作者用用户留存曲线和智能单价数据,把 AI 模型的用户流失放到软件、社交网络与手游之间定位。

  2. Every:最新文章(网页)60

    Every 团队实测 Opus 5.5、GPT-6 Sol 与 Grok 4.7

    Every 团队对本周发布的三款模型做了 Vibe Check。Opus 5.5 在产品和设计工作上持平或超过 Fable 5.1,每 token 成本低 60%,但会把要点埋进长文且不限时运行;GPT-6 Sol 成为 Dan Shipper 的日常主力,更快更便宜;Grok 4.7 只赢回一位用户,Katie 认为其写作缺乏节奏感。

  3. Elon Musk22

    查拉图斯特拉如是说

    引用jimmah@jamesdouma

    This really brought home to me this new machine creativity. I don’t know the recipe, but it’s more than vibes I see. There’s substance in the lyrics and there’s nuance for the critics And a story being told in this AI homily. And a message being sold by the Ai homily.

  4. Gary Marcus:The Road to AI We Can Trust(RSS)59

    Gary Marcus 批评白宫“超级智能”协议缺乏实质约束

    Gary Marcus 评析特朗普政府发布的白宫“超级智能”协议,称其承诺的四层控制与审计本质上是“不受监管、不给公众发声”的自我监管。他质疑协议中“独立”审计人的含义,并指出两周前业界谈论的 AI 放缓(Pacing)议题未体现在协议中,称 Dario、Sam 和 Elon 都退缩了。

9月28日周一
  1. elsewhere:文章(RSS)41

    个人主义才能救AI:从办公Agent到Personal agent的锐评

    一篇锐评指出,办公Agent把toB业务向toC宣传在法理和情理上都站不住脚,因为对非程序员群体而言,提高生产力并不能换来早下班。作者转而推崇Personal agent,并实测了Today.ai、Grok bot和Muse:Today.ai能连接Gmail和Notion后主动找活干,但无法连接微信;Grok bot偏开放,需自建助手,作者用它搭建了欧洲旅行、视频素材整理、时尚搭配等助手。

  2. lauren32

    和 @petergyang 聊了我们的 grok @bot 设置,非常开心!

    引用Peter Yang@petergyang

    "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

9月27日周日
9月23日周三
9月22日周二
  1. eric zakariasson30

    grok 4.7 的一些实际用例! 飞行模拟

    引用aditya@adxtyahq

    GROK 4.7 IS ACTUALLY COMPETING WITH GPT-6 ASTRA. I gave GPT-6 Astra, Grok 4.7, Kimi K3 and Fable 5.1 the same prompt to build a flight simulator Astra was still #1 overall, but Grok 4.7 was surprisingly close Kimi K3 and Fable 5.1 were basically a draw and both produced a much smoother result, while Grok 4.7 was right up there with Astra in terms of overall quality. overall: Astra > Grok ≈ Kimi ≈ Fable GPT-6 Astra finally has some serious competition.

9月21日周一
9月18日周五
8月27日周四
  1. Lee Robinson54

    Lee Robinson 分享对 Grok @Bot 的使用体验,称自己从怀疑转为认可,认为常驻运行的 bots 是计算机工作的方向。他提到几点设计决策:极简的聊天式 UI、客户端轻量而复杂度放在服务端、每个 bot 连接自己的常驻计算机而非每次会话新建虚拟机、可以操作浏览器并将录制的任务转为可重复的流程。

    引用Lee Robinson@leerob

    Grok @Bot has made a few simple yet powerful technical decisions that I believe make it easy and enjoyable to use. 1. The best UI is none at all. The product interface is dramatically simpler than alternatives without sacrificing functionality. How is this possible? It's one of the first products designed for current frontier model capabilities and has a UI restrained enough to remain easy to use as models improve exponentially. Everyone knows how to text. 2. A thin harness for the client, a thick harness for the server. You might have noticed the app feels very fluid to use, even for a beta product. This is primarily because of everything we didn't have to build. The app harness is essentially a single tool to send messages between the client and server. The complexity moves to the server, where you can still use the coding agent harness with specialized tools as needed. This helps make the UI fast and responsive on desktop and mobile. 3. An always-on computer. Most coding agents and assistants today start fresh with every question you ask. Some of these sessions are on your local machine and others happen in the cloud. We believe strongly that cloud is the future, which is why it's the only option. Further, rather than spinning up virtual machines for every conversation, your bots connect to their own computer. This means you can still run agents on the bot's persistent filesystem. It's closer to what programmers have been doing by using Tailscale from their phones to connect to a remote computer and run an agent TUI. You get those capabilities without the hassle. 4. Your bots can use the browser. Coding agents have shown that most work on a computer can be expressed and run as code. You can ask for a task in natural language and the agent will decide to write a script to complete it. This is amazing, but there's still many tasks which can't be completed without logging into a website and clicking around the browser. Models and harnesses are now good enough to reliably handle this. The combination of writing code and using browsers means you can automate almost any task on a computer. Further, you can ask Grok Bot to record you doing the task, and then turn it into something repeatable.