03:31AI Engineer@aiDotEngineer精选AI工程师世界大会2026企业AI原生赛道后半场正在进行,共21场演讲。Box公司展示AI代理基础设施半衰期研究,Adobe提出Agentic Sites概念,TikTok认为AI代理已是分布式系统。Maersk分享全球规模AI代理部署经验,AWS探讨如何告诉机器人你想要什么。行业AI-Native EnterprisesAI Engineer World's Fair 2026AI Agents推荐理由:21场企业AI原生演讲上线,涵盖从基础设施到大规模部署的实战经验原文稍后读已读值得跟进有用关注 AI-Native Enterprises
02:51AI Engineer@aiDotEngineerAI Engineer World's Fair 2026 presents the GTM Track, focusing on engineering aspects of go-to-market strategies. Sessions include technical insights, AI buyer reverse-engineering, AI in Notion, GTM orchestration, AI trust design patterns, LLM recommendations for open source libraries, knowledge systems, and scaling GTM teams with AI agents. Learn from experts like Retttx, Clay, Aliisa Rosenthal, and more.行业AI Engineer World's Fair 2026GTM TrackAI in marketing推荐理由:想了解AI在市场推广中的应用和工程实践,这场AI工程师世界博览会2026的GTM Track不容错过,多位行业专家分享经验。原文稍后读已读值得跟进有用关注 AI Engineer World's Fair 2026
04:39AI Engineer@aiDotEngineer精选AI Engineer World's Fair 2026的Workflow Track正在直播。演讲主题包括:Ameya Bhatawdekar讨论AI评估的演进。Itamar Mar分享构建对AI生成代码信任的方法。Hursh讲解CTO如何用AI智能体进行原型设计。Aras B介绍Hugging Face Hub如何服务200万模型。Sarthak讨论AI工作力的IT管理。Kieranklaassen阐述复合工程时代。Niels Rogge演示在Hugging Face用智能体自动化工作。Dan Bjornn分析微调模型的50倍ROI技术债。Tushar Jain展示解锁智能体自主性的运行时。行业AI Engineer World's Fair 2026Hugging Face智能体推荐理由:Hugging Face等公司CTO和工程师在AI Engineer World's Fair 2026分享AI智能体工作流,包括代码审查、模型部署和自动化等实用案例,比一般技术分享更具体。原文稍后读已读值得跟进有用关注 AI Engineer World's Fair 2026
06:00AI Engineer@aiDotEngineer精选AI Engineer World's Fair 2026正在进行Agentic Engineering专题直播,核心论点是写代码已不再是工程难点。专场涉及DeepSWE专家代码数据集、Anthropic的CCA Exam作为实战指南,以及Sonar对编程智能体在新旧代码库上的基准评测。OpenAI工程师讲解了Codex背后的harness设计,GitHub介绍了实时多人协作与自动化。Cline以《开源已死,开源万岁》收束,讨论开源生态在编程智能体时代的变化。行业AI Engineer World's Fair 2026AnthropicCodex10 个信源在谈事件专题推荐理由:编程智能体专场讲得挺全:DeepSWE数据集、Sonar评测、Codex幕后、GitHub多人协作,想了解agent写代码现状可以看看。原文稍后读已读值得跟进有用关注 AI Engineer World's Fair 2026
11:05AI Engineer@aiDotEngineerAI Engineer World's Fair 2026 的 Local AI Track 已开始直播,由 NVIDIA 赞助,主题是“前沿智能正变成你拥有的东西”。首场 State of the Union 由 Joseph O'Fowa、Alex Ochema、Ahmad Osman 和 Matthew Berman 主讲。Osmantic 团队在 Desktop Frontier 环节讨论桌面端 AI,Local Models 环节由 Vincent Weisser 等探讨本地模型。Compression at the Edge 环节由 Daniel Han Chen 等讲解边缘压缩,Model Routing 环节由 Walden Yan 等讨论模型路由。全程可在这条推文附带的 YouTube 链接观看。行业AI Engineer World's Fair 2026NVIDIA本地模型7 个信源在谈事件专题推荐理由:AI Engineer 大会的 Local AI 专场正在直播,讲桌面端、本地模型、边缘压缩和模型路由,想围观最新方向就看这个。原文稍后读已读值得跟进有用关注 AI Engineer World's Fair 2026