| EP.52 | 本期资料 | ai.gov · action plan | | |
| EP.52 | 本期资料 | @JasonZX 的帖子 | | |
| EP.52 | 本期资料 | chatgpt.com | | |
| EP.52 | 本期资料 | Rich Sutton, The OaK Architecture: A Vision of SuperIntelligence from Experience - RLC 2025 - YouTube | | |
| EP.52 | 本期资料 | 大模型是迷失方向？强化学习之父 Rich Sutton 提出最新 OaK 架构，通往超级智能的新宏图 | | |
| EP.52 | 本期资料 | RLC25强化学习之父Rich Sutton重磅：OaK超级智能新蓝图 | | |
| EP.52 | 本期资料 | @mtrainier2020：这个人的操作太骚了。大概率要吃牢饭。 这人对安全，对系统理解还是不够深刻。 稍微大一点公司电脑都是装了各种各样的*安全* 软件来进行安全审计的。而且有很多行业公司专门吃这碗饭的。 很多EDR 系统（Crow… | | |
| EP.52 | 本期资料 | cac.gov.cn | | |
| EP.52 | 本期资料 | 标准号：GB 45438-2025 | | |
| EP.52 | 本期资料 | @frxiaobei：小红书刚刚发了公告，响应 9 月 1 日正式执行的《人工智能生成合成内容标识方法》国标，平台明确开启 AIGC 内容标识机制。 我简要整理一下： 1/ 只要你发的笔记 包含 AI 合成内容（无论是你原创还是二次转发… | | |
| EP.52 | 本期资料 | Video: The $10 Trillion AI Revolution | | |
| EP.52 | 本期资料 | 华尔街见闻 | | |
| EP.52 | 本期资料 | @R_Demidchuk：AI agents are turning into real businesses. CB Insights’ top 20 by revenue: Cursor leads at ~$500M; a $10… | | |
| EP.52 | 本期资料 | @EHuanglu：Apple’s AI getting crazy and nobody’s talking about it they just open sourced FastVLM + MobileCLIP2, can do… | | |
| EP.52 | 本期资料 | FastVLM - a apple Collection | | |
| EP.52 | 本期资料 | MobileCLIP2 - a apple Collection | | |
| EP.52 | 本期资料 | @GlennLuk：Okay, what is UE8M0 and why does it matter? UE8M0 is a custom 8-bit floating-point number format (FP8) propo… | | |
| EP.52 | 本期资料 | Introducing Gemma 3 270M: The compact model for hyper-efficient AI- Google Developers Blog | | |
| EP.52 | 本期资料 | @JeanRemiKing：Can AI help understand how the brain learns to see the world? Our latest study, led by @JRaugel from FAI… | | |
| EP.52 | 本期资料 | @IliaLarchenko：Let’s talk about VLAs in robotics 🤖 (Vision-Language-Action models) A relatively new type of robotics p… | | |
| EP.52 | 本期资料 | Threat Intelligence: How Anthropic stops AI cybercrime | | |
| EP.52 | 本期资料 | Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents | | |
| EP.52 | 本期资料 | AI Agent Security: The Unspoken Prerequisite for Enterprise Adoption | | |
| EP.52 | 本期资料 | @arcprize：ARC-AGI-3 Preview - 30-Day Learnings 30 days ago we released a preview of our first Interactive Reasoning Be… | | |
| EP.52 | 本期资料 | AI地产，变天了 | | |
| EP.52 | 本期资料 | 充分利用 Mac 的生产力，我在海底捞看到了不一样的「可能性」 | | |
| EP.52 | 本期资料 | 【增长黑客AI周报】EP#22 政府AI项目血泪、凯叔玩具、魅KTV、海底捞、创业开放麦等 | | |
| EP.52 | 本期资料 | Listen Labs • Trusted AI Research for Leading Brands | | |
| EP.52 | 本期资料 | Meet Listen, the AI-first customer research platform | | |
| EP.52 | 本期资料 | Sheet0 – Spreadsheets Agent that thinks and acts for you, 100% accurate. | | |
| EP.52 | 本期资料 | Looki L1 | | |
| EP.52 | 本期资料 | AI炒股 | | |
| EP.52 | 本期资料 | Paweł Huryn (@huryn) | | |
| EP.52 | 本期资料 | @_avichawla：DeepMind built a simple RAG technique that: - reduces hallucinations by 40% - improves answer relevancy by… | | |
| EP.52 | 本期资料 | 融资1500万美元背后：为什么AI搜索让所有品牌都在"裸奔"？ | | |
| EP.52 | 本期资料 | @DataChaz：Just tested the new Firecrawl v2, and wow, it’s a MONSTER upgrade! 🔥 → 10x faster scraping → Semantic crawli… | | |
| EP.52 | 本期资料 | @victormustar：🧑🍳 Microsoft cooked with VibeVoice-Large (MIT license) We are now super close to 100% open source Noteb… | | |
| EP.52 | 本期资料 | @arafatkatze：In building AI agents @cline , we've identified three mind viruses Mind Viruses are seductive ideas that… | | |
| EP.52 | 本期资料 | Warp: The Agentic Development Environment | | |
| EP.52 | 本期资料 | arXiv:2503.13657 | | |
| EP.52 | 本期资料 | +Web3 | | |
| EP.52 | 本期资料 | Multiagent Planning in AI - GeeksforGeeks | | |
| EP.52 | 本期资料 | @ankurkumarz：That's the next evolution in building Gen AI apps by applying Multi-agent architecture 👇 Research: The La… | | |
| EP.52 | 本期资料 | How we built our multi-agent research system | | |
| EP.52 | 本期资料 | Multi-Agent Architectures: 6 Types in 1 Image ✨ | | |
| EP.52 | 本期资料 | stixor.com · multi agent architecture search maas | | |
| EP.52 | 本期资料 | Don’t Build Multi-Agents | | |
| EP.52 | 本期资料 | Why Your Multi-Agent AI Keeps Failing | | |
| EP.52 | 本期资料 | Multi-Agent AI Systems: Why They Fail and How to Fix Coordination Issues (2026) | | |
| EP.52 | 本期资料 | What nobody tells you about the actual failure rates of multi-agent AI systems : r/n8n | | |