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10月30日周五
  1. Rohan Paul56

    10 人初创公司 Phonic 发布语音到语音模型 Phonic-1,官方称其为唯一能在来电者说到一半时就执行查询和预订的语音模型。

    引用Moin Nadeem@moinnadeem

    Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.

  2. Tencent Hy68

    腾讯混元发布 Hy-Nomas 开源交互式视频世界模型的技术报告(arXiv:2610.36729),并开源 Hy-Nomas-Bench 数据集用于可复现研究。官方还用 Hy-Nomas 重现 Genie 4 示例并放出对比视频,演示无需排队即可试用,地址为 https://hy-nomas.hy.tencent.com/。

    引用Tencent Hy@TencentHunyuan

    🚀 推出 Hy-Nomas:一个开源的自由形式交互式视频世界模型 主要特性: * 通过文本提示和相机轨迹进行自由形式交互 * 具备世界记忆的长时程生成 * 面向机器人等专业领域的轻量级 LoRA 适配 * 针对消费级 GPU 的推理优化 随时测试并反馈! 🔗 网站: https://hy-nomas.hy.tencent.com/ 💻 GitHub:https://github.com/Tencent-Hunyuan/Hy-Nomas 🤗 Hugging Face: https://huggingface.co/tencent/Hy-Nomas 🎥 演示: https://hy-nomas.hy.tencent.com/demo #Hy#WorldModels #VideoGeneration #GenerativeAI

    推荐理由:官方补充技术报告和 Hy-Nomas-Bench 数据集,还放出与 Genie 4 的对比视频,便于研究者复现和评估该视频世界模型。

  3. Rohan Paul40

    Mintive 发布平台,为每个 AI 智能体分配独立身份和权限,并已完成 1100 万美元融资。平台让赋能团队接入工具与智能体,安全团队则设定统一策略,所有调用都需通过该策略校验。据称 Modern Treasury 用它在 3 周内上线银行运营智能体,将原本 4 小时的任务缩短至几分钟;密歇根大学则将其用于 15 万名学生、教职员工。

    引用Jiquan Ngiam@JiquanNgiam

    Every AI agent at work runs with the access of whoever set it up. That’s why security keeps saying no. Today we’re launching @mintive: every agent gets its own identity and permissions, the same way every employee does. We’ve raised $11M, with @cowboyvc leading our latest round.

  4. Google Gemini65

    Google Gemini 宣布可直接在应用内生成、预览和编辑文档、PDF、演示文稿、表格等多种文件。支持把手写笔记转成 PDF 学习指南、手动调整内容、高亮部分让 Gemini 修改文字或视觉元素,并可继续追问。

    推荐理由:官方宣布文档、PDF、演示文稿等可直接在 Gemini 内生成、预览和编辑,读者可据此判断它能否替代部分办公工具流程。

  5. Aravind Srinivas55

    Perplexity CEO Aravind Srinivas 宣布 @jakubkrehel 开发的 /teardown 技能现已在 Perplexity Computer 的技能市场上线,可将任意物体拆解并以 3D 方式交互查看内部结构。该技能能绘制带部件标注的爆炸图或剖视图,图纸可交互并导出为 SVG、PNG 或 PDF。每位用户有 5,000 试用额度,引用内容提到 11 月 6 日前使用 /teardown 的任务免费。

    引用Computer@AskPerplexity

    The Teardown skill by @jakubkrehel, now in Computer's skills marketplace, draws an exploded view or cutaway of an object, parts labeled. Drawings are interactive and export to SVG, PNG or PDF. Tasks that use /teardown are free through November 6, up to 5,000 credits per user.

10月29日周四
  1. Rohan Paul53

    AgentWeb 发布面向通用 AI 智能体的网页任务基础设施,让智能体不通过浏览器、直接调用映射好的操作来完成网站任务。实测在 15 个政府门户、7 家保险公司和 25 个需登录的网站(如 Amazon、LinkedIn)上完成 47/47 项真实任务,中位耗时 1.9 秒,全程成本 3 美元。

    引用Andrey@Andrey__HQ

    Introducing AgentWeb: reliable web infrastructure for generalized agents. 47/47 real world tasks on live sites. 1.9s median. $3 total. Request access: https://www.agentweb.us

  2. Rohan Paul47

    Snaptrude Agent 可从场地或任务书直接生成施工就绪的 LOD 400 建筑模型,包含结构、MEP 与完整图纸集,建筑师可逐步掌控。早期访问中 2000 多名设计师自 9 月起已运行超 2.5 万个任务,用户累计消耗超 1400 亿 tokens。团队还推出 AECBench 基准,用于检验 AI 在 AEC 场景下的设计正确性。

    引用Altaf Ganihar@altafganihar

    Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.

  3. Arthur Mensch65

    Mistral 发布新改进版 Le Chonk 的开放权重,主打智能体编码与网络安全方向。该模型在 Cognition 的 FrontierCode 上排名开源模型第一,并在 Artificial Analysis 上创下 Pareto 效率新基准;网络防御能力经 CrowdStrike、Cloudflare、Rubrik、Zscaler 等厂商测试,权重可在 Hugging Face 下载,支持用 Mistral Forge 定制并自行部署。

    引用Mistral AI@MistralAI

    今天,我们发布了全新改进版 Le Chonk 的权重,推进智能体编程与网络安全领域的开放前沿。 💻 为构建而生:Le Chonk 在 @cognition 的 FrontierCode 上于开放模型中排名第一,并在 @artificialanalysis 上树立了帕累托效率的新基准。 🛡 为防御而生:网络防御领域的顶尖水平,已通过全球领先网络安全厂商的检验,包括 @CrowdStrike、@cloudflare、@rubrik、@zscaler 等。 为主权而构建:让它成为你的。在 @huggingface 上下载权重,使用 Mistral Forge 进行定制,并部署到你需要的任何地方。 阅读我们团队和客户的更多内容 👇:

    同一件事,精选收录的是《Mistral Large 4(Le Chonk)登陆 Hugging Face:1T 参数 MoE 多模态开源权重模型》

  4. Arena.ai61

    Arena 公布近 9K 个智能体会话的实测结果:OpenAI 的 GPT-6.1 Terra (Max) 在 Agent Arena 排名第 8,净提升 +10.6%,单任务中位成本 $0.62,重塑 Pareto 前沿。

    引用Arena.ai@arena

    Real-world results are in: GPT-6.1 Terra (Max) by @OpenAI just landed #14 in the Code Arena: WebDev with 1671 pts, delivering Pareto level results! That’s +151 pts over GPT-5.6 Terra, now at #56. At a median cost of $0.40 per task, GPT-6.1 Terra costs 28% less than GPT-5.6 Terra ($0.56 per task), reshaping the Pareto frontier. Compared to other models in the family, GPT-6.1 Terra (Max) is incredibly efficient: - 81 pts below #4 GPT-6.1 Sol (1752 pts), at 75% lower median cost per task. - Just 6 pts below #11 GPT-6 Sol (1677 pts), at 76% lower median cost per task Congrats to the @OpenAI team on this release!

  5. Unsloth AI77

    Unsloth 发布 Mistral Le Chonk(Mistral Large 4,1T 参数 MoE,52B 激活)的 Dynamic 1-bit GGUF,可在 Mac Studio 上本地运行,保留 91% top-1 准确率,体积约 233GB(较 1.1TB FP8 小 80%)。图为各量化档位给出硬件需求,1-bit 需 256-270GB 内存,最小 UD-IQ1_S 约占 233GB 磁盘,并支持文本与图像输入、1M 上下文和 160+ 语言。GGUF 与指南见 huggingface.co/unsloth/Mistral-Large-4-1T-A52B-GGUF 和 unsloth.ai/docs/models/mistral-large-4。

    引用Mistral AI@MistralAI

    今天,我们发布了全新改进版 Le Chonk 的权重,推进智能体编程与网络安全领域的开放前沿。 💻 为构建而生:Le Chonk 在 @cognition 的 FrontierCode 上于开放模型中排名第一,并在 @artificialanalysis 上树立了帕累托效率的新基准。 🛡 为防御而生:网络防御领域的顶尖水平,已通过全球领先网络安全厂商的检验,包括 @CrowdStrike、@cloudflare、@rubrik、@zscaler 等。 为主权而构建:让它成为你的。在 @huggingface 上下载权重,使用 Mistral Forge 进行定制,并部署到你需要的任何地方。 阅读我们团队和客户的更多内容 👇:

    推荐理由:原文给出在 Mac Studio 上本地运行 1T 参数模型的量化方案和硬件需求表,读者可直接照做部署。