N全部新闻

全部新闻

星期五1456 条

  3. Dex Horthy
    AI 评分23

    dex 回应删 wiki 论：文档摘要只在提速不降质时才有必要

    dex 表示无法为“3200 万美元论文”背书，但认同“面向人类的代码库”与“面向智能体的代码库”这一区分框架。他认为文档或按目录层级压缩的摘要只有在提速且不降质时才有必要，否则更简单的做法是接受一点速度损失、每次都从源头读取。他还指出，若代码库闭源，mintlify 等文档可作为用户智能体集成时的“一手来源”。

    引用jacob · @jsnnsa

    No. We've got to stop applying old human-centric patterns to working in the new era. delete all your wikis. have an agent answer questions from source instead. at spawn we have: - zero dashboard tools - zero docs - we do not make or use summaries everything we do is primary sources + intelligence Nothing to go stale Nothing to organize Nothing to navigate Always exactly up to date Perfectly personalized The answers get better with every model If we want to see a chart, we ask for it, and we have it in a minute If we want an answer to a question, we ask it, and we have a to-the-minute correct answer

    #大佬观点#Agent#编码

  5. Arthur Mensch模型发布
    AI 评分72

    Mistral AI 开放 Le Chonk 模型权重

    Mistral AI 宣布开放新版 Le Chonk 的模型权重，称其在智能体编码与网络安全方向推进了开放前沿。该模型在 Cognition 的 FrontierCode 上位列开放模型第一，并在 Artificial Analysis 的 Pareto 效率上创下新基准；网络安全方面称达到 SOTA，经 CrowdStrike、Cloudflare、Rubrik、Zscaler 等厂商测试。权重可在 Hugging Face 下载，并可用 Mistral Forge 定制后部署。Arthur Mensch 转发并表示近几周进展良好，如今权重已开放。

    引用Mistral AI · @MistralAI

    Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:

    #其他#模型发布#Agent

  7. Alex Heath
    AI 评分37

    Shopify CEO Tobi 谈个人 AI 智能体如何赚钱

    Shopify CEO Tobi Lütke 认为个人 AI 智能体的变现不会靠 2% 的交易抽成，而是进入“基点（basis points）”时代。他提出一种“反向金钱测试”：用户愿意为不再使用自己的 Muse 付出越来越高的代价。变现方式可能是后台电表式计费，也可能是交易流水抽成，或两者兼有；他并不担心，因为智能体帮人省钱的空间很大。

    引用Alex Heath · @alexeheath

    Tobi Lütke on the AI agent revolution and future of Shopify @tobi on where agent commerce is headed, sci-fi becoming reality, and his GPU wine cellar. Why did Amazon block Meta's Muse but Shopify welcomed it? I sit down with Tobi in Toronto to discuss why the companies are taking different approaches to agents and how shopping changes when AI starts buying things on your behalf. He explains the early AI shopping behavior he’s seeing. We also get into why he thinks AI makes starting a business easier, the backlash against the technology, and why everyone will eventually have to embrace it to get ahead in their careers. We get into how AI agents will make money, who pays when they handle a purchase, and why advertising gets complicated when your assistant is supposed to work for you. We discuss his experience on Meta’s board and working with Mark Zuckerberg. Lütke also shares why he turned his wine cellar into a GPU server rack and how he uses his personal AI agent that runs entirely from his house. This is one of my favorite pods I've ever done. Timestamps: 00:00 Amazon blocks Muse 02:40 Shopify's approach to AI agents 07:00 How AI agents will change shopping 11:05 Sci-fi and tech optimism 17:57 Zero-sum thinking vs. abundance 21:20 AI backlash and the founder advantage 45:28 Building an AI-first Shopify 52:18 Who profits from agentic commerce? 01:03:22 How Shopify stays ahead 01:10:39 Advertising and discovery in the agent era 01:16:02 Rack, Cellar, and Claw Links: Spotify: https://t.co/dEn15RrP7B Substack: https://t.co/JxkbohU0qz YouTube: https://t.co/2DTtOZ64yN Apple Podcasts: https://t.co/fEI7x7IzlD This episode's presenting sponsor is @hyperagentapp Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury

    #大佬观点#Agent

  8. Alex Heath
    AI 评分18

    Alex Heath 晒 Sources 播客近两月嘉宾名单

    Alex Heath 列出 Sources 播客近两个月的嘉宾阵容，包括 Sam Altman、Mark Zuckerberg、Marc Benioff、Satya Nadella、Sundar Pichai、Tobi Lütke、Vlad Tenev，以及 Qualcomm、Baseten、Factory 的 CEO 和 Reflection 联合创始人。该帖回应了 anu 关于“人们关注播客嘉宾阵容胜过关注播客本身”的说法。

    引用anu · @anuatluru

    fyi people are watching the podcast lineups more than they're watching the podcasts

    #行业动态

  9. Alex Heath
    AI 评分38

    Alex Heath 称 Granola 免费语音输入很实用

    Granola 宣布新增语音输入功能，不限字数且免费，可在任意应用中使用。Alex Heath 表示自己常用 Granola 处理会议，现在不必再装单独的听写应用，已在 Mac 上用它语音输入一整天，体验顺畅。

    引用Granola · @meetgranola

    Granola now does voice typing. Unlimited words, for free. Granola already writes your meeting notes. Now it can do the typing for you, in any app. https://t.co/et60VtwWA0

    #产品更新#语音

  11. 腾讯混元一手研究
    AI 评分62

    腾讯混元发布 Hy-Nomas 技术报告并开源 Hy-Nomas-Bench

    腾讯混元发布交互式视频世界模型 Hy-Nomas 的技术报告，并开源 Hy-Nomas-Bench 供可复现研究。官方还用 Hy-Nomas 复现了 Genie 4 的示例并放出对比视频，同时提供无需等待名单的在线 demo。此前介绍称 Hy-Nomas 支持文本提示词与相机轨迹的自由交互、带世界记忆的长时程生成、面向机器人等领域的轻量 LoRA 适配，并针对消费级 GPU 推理做了优化。

    引用Tencent Hy · @TencentHunyuan

    🚀 Introducing Hy-Nomas: An Open Source Free-Form Interactive Video World Model Key Features: * Free-form interaction with text prompts and camera trajectories * Long-horizon generation with world memory * Lightweight LoRA adaptation for specialized domains such as robotics * Optimized for Inference on Consumer GPUs Test it and drop feedback anytime！ 🔗 Website: https://t.co/5qYjoFhtQU 💻 GitHub:https://t.co/uW5RiXbubG 🤗 Hugging Face: https://t.co/okOLzAUGjR 🎥 Demo: https://t.co/0XgSfYccLa #Hy#WorldModels #VideoGeneration #GenerativeAI

    #模型发布#视频#开源生态

  14. Yuchen Jin观点
    AI 评分65

    Yuchen Jin：OpenAI 与 Anthropic 的订阅战比的是每美元 token 数

    Yuchen Jin 评论称，OpenAI 与 Anthropic 的订阅竞争重点已不在谁的模型最好，而在谁提供更多每美元 token。他引用的 Tibo 帖子宣布，所有 Pro 100/200/500 档位和 Business Premium 的用量上限翻倍，Pro 200 的用量上限不再下调，Work 与 Codex 用量保持不变。

    引用Tibo · @thsottiaux

    Day 25/ We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today. We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage. And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.

    同一事件 · 9 条报道

    #大佬观点#OpenAI#Anthropic