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10月26日周一
  1. 公众号:数字生命卡兹克63

    手把手教你用 Agent 逆向改造电视、补光灯等现实设备

    作者用 Codex 和 Claude 逆向改造了办公室电视、补光灯和索尼、DJI Pocket 3 相机等设备,通过 ADB 调试清除开机广告、重做简洁桌面,并开发了统一灯光控制台和多机位控制台。文章给出完整操作步骤,提醒修改系统软件前先备份,并认为 Agent 正在降低普通人改造硬件设备的门槛。

  2. MiniMax (official)56

    MiniMax 官方汇总 H3 视频生成模型的社区生态进展,收录 11 项新增集成。贡献涵盖 8 步参考条件视频加音频生成、4 步蒸馏、稀疏注意力和参考 token 压缩,并在 GPU 服务器、TPU 和 Apple Silicon 等多种硬件上提供服务和工作流集成;官方认为开源模型在社区改进方法、适配运行时和构建工作流后会更实用。

    引用MiniMax (official)@MiniMax_AI

    Open weights. Shared progress. MiniMax H3 is moving fast. We built H3 for video generation with native stereo audio and multimodal reference control. The open-source community is making that capability faster, more accessible, and easier to build on. Recent highlights: • FastH3 — FastVideo, Nuva Lab and NVIDIA: 4-step distillation, now running on DGX Spark and Apple Silicon. • Sol-H3 — NVIDIA’s SANA team: 15 seconds of 768p video + audio in 6.6 seconds on 8×B300, in the team’s warm-inference benchmark.* • VDN — Haocheng Xi and the OpenVDN team: rethinking attention for faster H3 inference, with weights, training and inference code released. • PDD — NVIDIA’s distillation method, brought to H3 by Alibaba PAI as 8-step Acc-LoRAs, now supported in ComfyUI. • LightX2V — 4- and 8-step Turbo LoRAs, with workflows for text, image and reference-conditioned video + audio. Behind every release are people training, optimizing, quantizing, testing and sharing. Special thanks to: @haoailab @nuvalab @NVIDIAAI @xieenze_jr @HaochengXiUCB @ArashVahdat @julberner @LightX2V @ComfyUI And to the individual contributors pushing the work forward: @haozhangml @cxlcl1 @lawrence_cjs @yitongli165665 @haopengl33 @songhan_mit @shanasaimoe Thank you for building with H3 and helping make it faster, more accessible, and more useful for the community. Powerful models go further when we build together. Keep pushing H3. Excited to see what comes next. 🚀 Explore the ecosystem: https://github.com/MiniMax-AI/awesome-minimax-h3-integration

  3. IT之家·人工智能54

    马斯克 Grok 版《奥德赛》前 7 分钟放出,被批缺乏艺术感染力

    马斯克宣称将用 Grok 制作完整《奥德赛》电影三个月后,Grok 与 Wonder Studios、导演戴夫·沃克联合制作的系列第一集前七分钟内容发布。Techcrunch 评价称部分镜头效果优于马斯克近期其他 AI 视频,甚至可乱真真人实拍,但整体旁白冗长、台词生硬,缺乏艺术感染力与叙事节奏,对比诺兰实景拍摄的《奥德赛》票房成功形成明显反差。

  4. Browser Use76

    让编程智能体使用已登录 Chrome 的六种方案实操指南

    Browser Use 作者整理了让 Claude Code、Codex、Gemini CLI、Cursor 等编程智能体使用已登录 Chrome 的方法:Claude 订阅用户可用 claude --chrome 的 Claude in Chrome 扩展。

    推荐理由:作者按编程智能体逐一梳理接入已登录 Chrome 的方案与配置,并解释为何复制 Cookie 行不通,方法可直接迁移到自己的工具链。

  5. Greg Brockman55

    Greg Brockman 引用 PDE 专家 @scottnarmstrong 的分析称,这篇 OpenAI 论文在技术层面令人难以置信,或超出人类能想出的范围,但仍在人类理解力之内。分析认为论文用物理不稳定性让流动自行产生振荡,这种构造方式此前文献中没有先例,多组专家正在消化理解,预计解读很快会陆续出现。

    引用Scott Armstrong@scottnarmstrong

    Since I'm now blocked by bluey from replying to this thread, I answer here by quote tweet the openAI construction has more to do with convex integration than anything else. In convex integration, the oscillations are typically built by hand and the iteration procedure creates wild weak solutions. The non-uniqueness construction of Albritton–Brué–Colombo used an unstable vortex to split solutions apart. The Córdoba–Martínez-Zoroa singularities amplify vorticity across scales by strain. In the openAI paper, a fluid instability is clever made so that the flow itself generates the oscillations: they grow by drawing energy from the background shear. The Reynolds stress then becomes the force that creates the collapsing smooth vortex. Using a physical instability to create the stress in this way has no precedent, and it is what produces a smooth force rather than a merely rough one. Some on these ideas are in the literature (e.g. Leibovich-Stewartson 1983) but the way they are combined is definitely insane and definitely nowhere in the literature previously. I also don't know of anyone suggesting that convex integration would play a role in the creation of a blow-up solution like this. On a technical level, the paper is unbelievable, maybe beyond what a human could have come up with but not beyond human understanding: there are several different groups of pde experts working on understanding it who say that they more or less understand now. I expect digestions soon td;lr: anyone saying that this OAI result is unsurprising is bullshitting sorry!

  6. TechCrunch:AI51

    Grok 发布 AI 生成版《奥德赛》系列首集七分钟,TechCrunch 评测观感平平

    Grok 发布了其 AI 生成《奥德赛》系列的第一集,时长七分钟,由 Wonder Studios 与导演 Dev Walker 合作制作,距 Elon Musk 宣称要制作全片约三个月。TechCrunch 作者观看后评价个别镜头可乱真,但整体缺乏艺术性和人物魅力,与 Nolan 实拍版《奥德赛》的票房成功形成对比。

  7. Rohan Paul62

    Rohan Paul 转述 Gartner 预测:成本压力将迫使超过 80% 的 neocloud 厂商到 2030 年停止独立运营。Gartner 测算 AI 数据中心到 2030 年需累计 8.5T 美元收入才能覆盖资本开支、融资成本和 12% 回报,而归属 AI 收入预计不超过 3.6T 美元,超 4T 美元资产到 2032 年面临减记风险。

    引用Elon Musk@elonmusk

    Pretty much. As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers. SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue. That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.

  8. LangChain:Blog55

    LangChain 解析构建公司级 Agent harness 的五大组件

    LangChain 基于自建的 GTM Agent、OpenSWE 和 Content Studio 三个内部智能体,总结出构建公司 harness 的五个核心组件:智能体驻留在用户已有工作场景(Slack)、区分 on-behalf-of 与固定凭证的身份处理、全局与用户两级记忆、沙箱内代码执行,以及大量定时或事件触发的 ambient 运行。

  9. IT之家·人工智能68

    国内首部 AI 全流程院线长片《三星堆:未来往事》票房达 116.2 万

    猫眼专业版数据显示,AI 全流程院线长片《三星堆:未来往事》票房达 116.2 万,该片是国内首部获国家电影局公映许可证的 AI 院线长片,10 月 23 日上映,片长 100 分钟,角色均为原创数字形象。全片依托博纳自研的“博卡电影云片场”制作,历时两年产出 120 余万张底图,AI 承担生成与执行,创意构思、剧本和镜头设计由博纳 AIGMS 团队完成,团队设 17 个专业分工、参与人员近百人。

10月25日周日
  1. Elon Musk58

    Elon Musk 宣布 Grok Bot 现在可以替用户致电个人或商家、代为提出请求,并记录通话内容和发送对话摘要。引用内容提到 Grok Bot 0.77 支持实时转录的通话(拨号、等待、按键、转接)、Mac 端消息连接设置、加入 Tailscale 私有网络、支付账户连接以及 Bot 分享邀请需 Premium 或 Ultra 等功能。

    引用Alex@alexmichaelio

    Grok Bot 0.77 looks INSANE 🔥 > Calls: your Bot can dial someone, sit on hold, press keys and get transferred while you watch a live transcript > Messages on Mac: a setup screen under Connect Apps, still switched off > Tailscale: Grok Bot can join your private tailnet once an admin approves it > Payments: a screen to connect payment accounts and pick a default, on top of yesterday’s Vault > Sharing: emails when someone shares a Bot with you, and invites need Premium or Ultra

  2. TechCrunch:AI40

    值得关注的 AI 可穿戴设备与硬件盘点:Bee、Friend、Limitless、Omi 等

    TechCrunch 盘点了当前值得关注的 AI 可穿戴设备,包括 49.99 美元的 Bee 吊坠、129 美元的 Friend 情感陪伴吊坠、99 美元的 Limitless 录音吊坠和 89 美元的 Omi。Meta 于 9 月推出首款 AI 可穿戴设备 Muse Charm,设备尚未发货,将配备数字分身 Jolly。Nirva 计划 11 月开放订单、年底发货,售价 249 美元。

  3. IT之家·人工智能48

    KRAFTON AI 预览 Raon-1 mini 模型:30B-A4B,可与 Meta Muse Glimmer 竞争

    KRAFTON AI 公布从头训练的 Raon-1 mini 预览版,采用混合专家架构与线性注意力,体量 30B-A4B,以 Apache 2.0 许可开源并提供限时免费 API 试用。该模型聚焦韩语并兼顾英语,官方称其在编程与智能体任务上与 Meta 的 Muse Glimmer 30B 相当,且速度更快、内存效率更高。正式版及后续更大模型即将推出。

  4. 字节 Seed:Research Papers45

    字节 Seed 提出 Recycler:通过隐藏状态回收实现无额外成本的潜在推理

    字节 Seed 提出 Recycler 架构,把上一 token 的顶层隐藏状态经轻量适配器与当前 token 嵌入一起送入下一步,在解码开销几乎不变的情况下保留跨步连续语义。该架构覆盖预训练、SFT、继续预训练与 RL 全流程,在数学和推理任务上参数效率突出,后期引入仍可超越参数量多 2–3 倍的模型。

  5. MarkTechPost66

    Anthropic 推出免费开源漏洞扫描器 OSS Scanner,11 天报告 77 个危急和 803 个高危发现

    Anthropic 推出免费的 OSS Scanner,用 Claude Mythos 等模型定期审计已登记的开源项目,报告直接发送给维护者且不经人工审核。上线 11 天报告了 77 个危急和 803 个高危发现;渗透测试员核查的 97 个危急/高危发现中 88% 达到披露标准,仅 1 个为误报,curl 已据其修复 CVE-2026-92392。

  6. The Verge:AI64

    Google AI 搜索重塑在线出版流量格局

    The Verge 回顾 Google AI 搜索功能如何冲击在线出版业:2024 年推出的 AI Overviews 和 2025 年 5 月上线的 AI Mode 让出版商从 Google 获得的流量大幅下滑,DMG Media 称点击率在 2025 年 6 至 7 月间下降多达 89%,Pew Research 也发现用户看到 AI Overview 后更少点击链接。

  7. Rohan Paul56

    比尔·盖茨在 The Verge 的 Decoder 访谈中称,AI 已跨过能力门槛,是迄今发明的最危险技术,将广泛影响经济和战争方式。他主张能实施高级网络攻击的开源权重模型依法保留防护和监控,开发者仍可免费使用和定制,但只能在能检测并拒绝移除防护的认证平台上运行。

    引用Rohan Paul@rohanpaul_ai

    Bill Gates wants powerful open-weight models to run only where the government says they can. For any model capable of sophisticated cyber attacks, he wants safeguards and monitoring kept in by law. Developers could still use these models for free and customize them, but only on certified platforms that detect and refuse any attempt to strip out the safeguards. ---- Full video on "Decoder with Nilay Patel (@reckless) and The Verge" YouTube channel, (link in comment)