| EP.54 | 本期资料 | arXiv:1911.01547 | | |
| EP.54 | 本期资料 | Nature - Self-help | | |
| EP.54 | 本期资料 | Bring us your LLMs: why peer review is good for AI models | | |
| EP.54 | 本期资料 | DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning - Nature | | |
| EP.54 | 本期资料 | arXiv:1803.03635 | | |
| EP.54 | 本期资料 | 《彩票假设》ICLR 2019 best paper 阅读笔记 | | |
| EP.54 | 本期资料 | 学习是如何工作的 | | |
| EP.54 | 本期资料 | @omooretweets：OpenAI just released the largest-ever report on how consumers are using ChatGPT. It looks at millions of… | | |
| EP.54 | 本期资料 | Virtual Agent Economies | | |
| EP.54 | 本期资料 | @_akhaliq：Google DeepMind presents Virtual Agent Economies | | |
| EP.54 | 本期资料 | @karminski3：昨晚上这个新闻信息量有点大啊，平头哥这个最新的 GPU/AI 算力卡，片间带宽能达到 700GB/s，基本在第三代 NVLINK (600GB/s) 和 第四代 NVLINK (900GB/s) 之间。 而且搭载… | | |
| EP.54 | 本期资料 | OpenAI’s InfiniBand switch racks | | |
| EP.54 | 本期资料 | Theoretical Limitations of Embedding Models and Their Applications in Turkish: An In-Depth Look | | |
| EP.54 | 本期资料 | On the Theoretical Limitations of Embedding-Based Retrieval | | |
| EP.54 | 本期资料 | Why language models hallucinate | | |
| EP.54 | 本期资料 | GPT-5 coding 模型 | | |
| EP.54 | 本期资料 | RL不重要 | | |
| EP.54 | 本期资料 | 微信公众号文章 | | |
| EP.54 | 本期资料 | 微信公众号文章 | | |
| EP.54 | 本期资料 | mp.weixin.qq.com ↗ | | |
| EP.54 | 本期资料 | UnifoLM-WMA-0: A World-Model-Action(WMA) Framework under UnifoLM Family | | |
| EP.54 | 本期资料 | Introduction | | |
| EP.54 | 本期资料 | Generating Bigger and Better Worlds | | |
| EP.54 | 本期资料 | Three.js Rapier Room | | |
| EP.54 | 本期资料 | @XRarchitect：I reimagined my living room with World Labs. Gemini helped design it, World Labs generated the 3D environ… | | |
| EP.54 | 本期资料 | GPU Safty | | |
| EP.54 | 本期资料 | 腾讯混元3D | | |
| EP.54 | 本期资料 | Listen Labs • Trusted AI Research for Leading Brands | | |
| EP.54 | 本期资料 | Sheet0 – Spreadsheets Agent that thinks and acts for you, 100% accurate. | | |
| EP.54 | 本期资料 | Meet Listen, the AI-first customer research platform | | |
| EP.54 | 本期资料 | Looki L1 | | |
| EP.54 | 本期资料 | New Meta Ray-Ban AI-Powered Display Glasses and Neural Band | | |
| EP.54 | 本期资料 | Meta发布首款带显示的AI眼镜 | | |
| EP.54 | 本期资料 | GEO Evertune | | |
| EP.54 | 本期资料 | GitHub - Polymarket/agents: Trade autonomously on Polymarket using AI Agents | | |
| EP.54 | 本期资料 | I built an open-source AI deep research agent for Polymarket bets : r/LLMDevs | | |
| EP.54 | 本期资料 | Polyseer | | |
| EP.54 | 本期资料 | GitHub - amanvirparhar/chaplin: A real-time silent speech recognition tool. | | |
| EP.54 | 本期资料 | @kevinlu625 的帖子 | | |
| EP.54 | 本期资料 | @testingcatalog：BREAKING 🚨: Google has introduced an "AI payments protocol" supporting credit cards and stablecoins. B… | | |
| EP.54 | 本期资料 | Announcing Agent Payments Protocol (AP2) | | |
| EP.54 | 本期资料 | GitHub - google-agentic-commerce/AP2: Building a Secure and Interoperable Future for AI-Driven Payments. | | |
| EP.54 | 本期资料 | Examples — AutoGen | | |
| EP.54 | 本期资料 | Stop building AI logic | | |
| EP.54 | 本期资料 | Agent Lighting | | |
| EP.54 | 本期资料 | x.com ↗ | | |
| EP.54 | 本期资料 | @_avichawla：DeepMind built a simple RAG technique that: - reduces hallucinations by 40% - improves answer relevancy by… | | |
| EP.54 | 本期资料 | @DataChaz：Just tested the new Firecrawl v2, and wow, it’s a MONSTER upgrade! 🔥 → 10x faster scraping → Semantic crawli… | | |
| EP.54 | 本期资料 | @victormustar：🧑🍳 Microsoft cooked with VibeVoice-Large (MIT license) We are now super close to 100% open source Noteb… | | |
| EP.54 | 本期资料 | @arafatkatze：In building AI agents @cline , we've identified three mind viruses Mind Viruses are seductive ideas that… | | |
| EP.54 | 本期资料 | Warp: The Agentic Development Environment | | |
| EP.54 | 本期资料 | @mdancho84：🚨How to build a Self-Improving Coding Agent A free 18-page PDF: | | |
| EP.54 | 本期资料 | x.com ↗ | | |
| EP.54 | 本期资料 | 深度解读《AI 智能体的上下文工程》：构建高效 Agent 的七个宝贵教训 | | |
| EP.54 | 本期资料 | app.kuse.ai · new board | | |
| EP.54 | 本期资料 | @elonmusk：Join @xAI and help build a purely AI software company called Macrohard. It’s a tongue-in-cheek name, but the… | | |
| EP.54 | 本期资料 | xAI just filed a trademark application for "macrohard" : r/singularity | | |
| EP.54 | 本期资料 | @elonmusk：We are creating a multi-agent AI software company @xAI, where @Grok spawns hundreds of specialized coding an… | | |
| EP.54 | 本期资料 | @davidaeberle：“MechaClippy” is the wrong headline. The real story is Macrohard. Elon Musk has branded a new venture in… | | |
| EP.54 | 本期资料 | Aren't Palantir Forward Deployed Engineers basically just Solution Engineers? : r/csMajors | | |
| EP.54 | 本期资料 | A Day in the Life of a Palantir Forward Deployed Software Engineer | | |
| EP.54 | 本期资料 | Understanding Forward Deployed Engineering | | |
| EP.54 | 本期资料 | palantir.com · careers | | |
| EP.54 | 本期资料 | The Pragmatic Engineer | | |
| EP.54 | 本期资料 | 硅谷兴起 FDE 模式：AI 能力狂飙却部署迟缓，一线驻场成为大模型落地的唯一解法？ | | |
| EP.54 | 本期资料 | Deep Learning from MIT | | |
| EP.54 | 本期资料 | Karpathy | | |
| EP.54 | 本期资料 | Build LLMs from scratch : r/learnmachinelearning | | |
| EP.54 | 本期资料 | Stanford CS336 | Language Modeling from Scratch (Spring 2025 Archive) | | |
| EP.54 | 本期资料 | Build a Large Language Model (From Scratch) 中文版 | | |
| EP.54 | 本期资料 | GitHub - datawhalechina/llms-from-scratch-cn: 仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理 | | |
| EP.54 | 本期资料 | GitHub - rasbt/LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step | | |