2026-06-01（内容获取于 06/01 05:48）

harry0703/MoneyPrinterTurbo

Python · ★ 73,979 · 🍴 10,561 · 📈 1,937 stars today

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

中文介绍 利用AI大模型一键生成高清短视频，用户只需输入主题或文案，即可快速产出带配音、字幕和背景音乐的短视频，适合内容创作者、营销人员快速生产视频内容。

microsoft/markitdown

Python · ★ 134,743 · 🍴 9,215 · 📈 2,759 stars today

Python tool for converting files and office documents to Markdown.

中文介绍 微软开源的Python工具，能将Office文档（如Word、Excel、PPT）和多种文件格式转换为Markdown，方便开发者提取文档内容做进一步处理或集成到知识库。

D4Vinci/Scrapling

Python · ★ 56,524 · 🍴 5,478 · 📈 639 stars today

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

中文介绍 自适应网页抓取框架，支持从单个请求到全站爬取的全流程，自动处理反爬、页面解析等复杂问题，适合需要稳定抓取动态或静态网页的开发者。

nesquena/hermes-webui

Python · ★ 9,882 · 🍴 1,360 · 📈 320 stars today

Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!

中文介绍 Hermes Agent 的 WebUI，提供在浏览器或手机上使用智能体代理的最佳体验，用户可通过界面与AI进行交互并执行任务。

EveryInc/compound-engineering-plugin

TypeScript · ★ 18,680 · 🍴 1,408 · 📈 243 stars today

Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

中文介绍 面向 Claude Code、Codex、Cursor 等AI编程工具的化合物工程插件，扩展了代理编码系统的能力，适合需要定制化AI开发工作流的开发者。

github/docs

TypeScript · ★ 19,696 · 🍴 67,285 · 📈 20 stars today

The open-source repo for docs.github.com

中文介绍 GitHub 官方文档的开源仓库，包含平台使用指南、API参考和最佳实践，任何人都可以贡献或反馈，是开发者和企业了解GitHub功能的权威来源。

OpenBMB/VoxCPM

Python · ★ 23,417 · 🍴 2,710 · 📈 639 stars today

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

中文介绍 VoxCPM2 是多语言无tokenizer的语音合成模型，支持创意语音设计和高保真声音克隆，直接生成音频波形，适合语音助手、有声内容制作和个性化语音应用。

revfactory/harness

HTML · ★ 4,560 · 🍴 643 · 📈 318 stars today

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

中文介绍 一种元技能框架，用于设计特定领域的AI代理团队、定义专业代理并生成它们使用的技能，帮助构建模块化、可复用的多代理系统。

FareedKhan-dev/train-llm-from-scratch

Jupyter Notebook · ★ 2,887 · 🍴 435 · 📈 627 stars today

A straightforward method for training your LLM, from downloading data to generating text.

中文介绍 从数据下载到文本生成的完整LLM训练教程，提供直截了当的方法教开发者如何从头训练自己的语言模型，适合AI学习者和研究者动手实践。

supermemoryai/supermemory

TypeScript · ★ 23,276 · 🍴 2,100 · 📈 236 stars today

Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.

中文介绍 面向AI时代的超级记忆引擎和应用，提供超快、可扩展的记忆API，帮助AI应用长期存储和检索用户上下文，适用于智能助手、个性化推荐等场景。

Crosstalk-Solutions/project-nomad

TypeScript · ★ 27,678 · 🍴 2,709 · 📈 372 stars today

Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.

中文介绍 自包含的离线生存计算机，集成了关键工具、知识和AI，无需网络即可运行，适合应急场景、野外探险或离线工作环境用户。

anthropics/claude-code

Python · ★ 128,847 · 🍴 20,994 · 📈 490 stars today

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

中文介绍 Anthropic 推出的终端代理编码工具，能理解整个代码库，帮你执行例行任务、解释复杂代码、处理git工作流，大幅提升开发效率。

nicobailon/pi-subagents

TypeScript · ★ 1,820 · 🍴 254 · 📈 59 stars today

Pi extension for async subagent delegation with truncation, artifacts, and session sharing

中文介绍 Pi 框架的扩展，支持异步子代理委派，具备截断、产物和会话分享功能，适合需要高效管理多子任务协作的AI应用开发者。

emmabostian/developer-portfolios

Python · ★ 23,320 · 🍴 4,606 · 📈 67 stars today

A list of developer portfolios for your inspiration

中文介绍 整理收集的开发者个人作品集列表，供开发者获取设计灵感和代码参考，适合求职或建立个人品牌时参考。

codecrafters-io/build-your-own-x

Markdown · ★ 509,306 · 🍴 48,304 · 📈 1,112 stars today

Master programming by recreating your favorite technologies from scratch.

中文介绍 教你通过从零重建各种流行技术（如数据库、Git、Docker等）来掌握编程的经典项目合集，适合想深入理解底层原理的开发者。

Why Far Looks Up: Probing Spatial Representation in Vision-Language Models

👍 38

05/28 08:00

Vision-language models (VLMs) achieve strong performance on spatial reasoning benchmarks, yet it remains unclear whether this reflects structured 3D understanding or reliance on statistical shortcuts in natural images. We introduce a representation-level analysis framework that constructs minimal co

中文介绍 研究者引入一种表示级分析框架，探索视觉语言模型是否具备结构化3D空间理解，还是依赖于自然图像中的统计捷径。

DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation

👍 7

05/28 08:00

Robot manipulation critically depends on perception that preserves the action-relevant aspects of a scene. Yet most robot learning pipelines are built upon visual encoders pre-trained for static recognition or vision-language alignment, leaving motion understanding to downstream policies. We introdu

中文介绍 提出DynaFLIP方法，通过三模态动力学引导表示，提升机器人操作对场景中动作相关方面的感知能力，弥补现有视觉编码器忽视运动理解的不足。

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

👍 0

05/28 08:00

Recent advances in Vision-Language Models (VLMs) have achieved impressive performance across many tasks, yet prior studies report unsatisfactory performance when applying large language or multimodal models to finding abnormal patterns in sequential data. Public anomaly detection benchmarks typicall

中文介绍 针对时间序列异常检测任务，提出一种高效的视觉语言推理方法，解决大规模模型在序列数据异常模式检测中性能不佳的问题。

Reducing Political Manipulation with Consistency Training

👍 0

05/28 08:00

Large language models (LLMs) exhibit systematic political bias across a variety of sensitive contexts. We find that LLMs handle counterpart topics from opposing political sides asymmetrically. We refer to this phenomenon as covert political bias and identify 7 categories of techniques through which

中文介绍 研究发现大型语言模型在处理不同政治立场的对应话题时存在系统性偏差，并提出一致性训练方法以降低这种隐性政治操纵。

REPOT: Recoverable Program-of-Thought via Checkpoint Repair

👍 6

05/28 08:00

One-shot Program-of-Thought (PoT) emits a Python program that prints a primitive-action plan; a single invalid action silently invalidates the trajectory. We introduce RePoT (Recoverable PoT): a deterministic verified replay that walks the plan through the environment to its first invalid transition

中文介绍 提出RePoT方法，通过检查点修复实现可恢复的程序思路推理，确保单步无效操作不会导致整个轨迹失效。

Xetrieval: Mechanistically Explaining Dense Retrieval

👍 17

05/28 08:00

Explaining why dense retrievers assign high relevance scores remains challenging because retrieval decisions are made through opaque high-dimensional embeddings. Existing explanations often focus on surface signals, such as lexical matches, token alignments, or post-hoc textual rationales, and thus

中文介绍 针对稠密检索模型的高维嵌入不透明问题，提出Xetrieval方法，从机制层面解释模型为何赋予高相关性分数。

CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

👍 4

05/28 08:00

Tool retrieval over large API catalogs is a core bottleneck for LLM agents: user queries arrive in colloquial, often underspecified language, while the catalog uses technical API vocabulary that no fixed encoder can bridge on its own. The two dominant training approaches, contrastive encoder fine-tu

中文介绍 提出CoHyDE方法，通过迭代联合训练LLM改写器和稠密编码器，解决用户口语化查询与API技术词汇之间的语义鸿沟问题。

EarlyTom: Early Token Compression Completes Fast Video Understanding

👍 27

05/28 08:00

Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is still hindered by the inefficiency introduced by processing massive amounts of visual tokens. Although recent approaches achieve extremely low token ret

中文介绍 提出EarlyTom方法，通过早期令牌压缩减少视频理解中大量视觉令牌的处理开销，提升视频大语言模型的部署效率。

When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems

👍 11

05/28 08:00

The design space of agentic AI inference spans two extremes: frontier large language models (LLMs), typically hosted in the cloud and offering strong performance across a wide range of tasks at substantially high cost, and more cost-efficient small language models (SLMs), which are amenable to on-de

中文介绍 分析云侧大语言模型与端侧小语言模型在混合多智能体系统中的权衡，探讨性能与成本之间的最优设计空间。

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

👍 6

05/28 08:00

Natural generation allows Large Language Models (LLMs) to produce free-form responses with rich reasoning, yet the lack of structure makes outputs difficult to verify. Conversely, constrained decoding ensures standardized formats but can inadvertently restrict reasoning capabilities by imposing cons

中文介绍 提出一种统一解码框架，在生成自由文本与约束格式之间取得平衡，既保留推理能力又确保输出可验证。

PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions

👍 8

05/28 08:00

We address the task of generating physically accurate and visually faithful 4D Human-Object Interaction (HOI). Given a static 3D human and target object represented as 3D Gaussian Splats (3DGS), our goal is to synthesize dynamic scenes where the human actively engages with the object through actions

中文介绍 针对动态人-物交互的4D生成任务，提出PhyGenHOI方法，从静态3D对象生成物理准确且视觉真实的交互场景。

UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering

👍 21

05/28 08:00

Activation-based control steers large language models (LLMs) by intervening on their internal representations during inference, and has emerged as an effective paradigm for controlling behaviors such as persona and style. However, existing methods often rely on fixed steering directions or task-spec

中文介绍 提出UniSteer方法，利用文本引导的流匹配在激活空间中控制大型语言模型的行为，如人格和风格，无需固定方向。

Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas

👍 1

05/28 08:00

We study two-level autoresearch for cooperation: an outer-loop AI agent autonomously redesigns the inner-loop pipeline of an LLM policy-synthesis system for multi-agent Sequential Social Dilemmas (SSDs). A researcher agent R (run as a coding agent) reads the inner-loop source code, edits system prom

Verifiable Rewards Beyond Math and Code: Lightweight Corpus-Grounded Process Supervision for Factual Question Answering

👍 6

05/28 08:00

Applying reinforcement learning to improve factual accuracy in knowledge-intensive question answering faces a reward design dilemma. Response-level rewards provide only coarse supervision and cannot distinguish correct from incorrect statements within a reasoning trace. Sentence-level alternatives o

Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation

👍 10

05/28 08:00

Large Language Models (LLMs) have advanced autonomous agents from deep search, which retrieves concise factual answers, to deep research, which synthesizes scattered evidence into long-form reports. However, verifiable multimodal deep research remains challenging due to open-ended synthesis without

Colored Noise Diffusion Sampling

👍 18

05/28 08:00

Diffusion models achieve state-of-the-art image synthesis, with their generative trajectories fundamentally exhibiting a spectral bias, resolving low-frequency global structures early and high-frequency fine details later. Conventional stochastic differential equation (SDE) solvers fail to account f

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

👍 13

05/28 08:00

We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents. Unlike prior evaluations, CausaLab evaluates both whether an agent can solve a problem using causal evidence and whether its answer is grounded in a faithful recovered causal mechanism. Each epis

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

👍 3

05/28 08:00

We show that LoRA adapters, the dominant distribution format for fine-tuned LLMs, can be reliably backdoored through training data poisoning while preserving baseline task performance. On a Qwen 2.5 1.5B prompt-injection classifier, a small fraction of poisoned examples drives a clean-accuracy-prese

YoCausal: How Far is Video Generation from World Model? A Causality Perspective

👍 41

05/28 08:00

As video diffusion models (VDMs) advance toward world models, a key question arises: do they truly understand causality, or merely overfit to statistical temporal patterns? Existing benchmarks mostly rely on synthetic data, limiting real-world generalization due to the sim-to-real gap. We present Yo

PhoneWorld: Scaling Phone-Use Agent Environments

👍 1

05/28 08:00

A central bottleneck for phone-use agents is that controllable, reproducible environments covering real mobile behavior are hard to build at scale. Existing mobile-agent benchmarks have made important progress on evaluation, but they do not by themselves provide a scalable way to construct many new

WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction

👍 7

05/28 08:00

Multimodal large language models are increasingly deployed as long-horizon agents, where memory must do more than recall: it must track an evolving world, revise what has gone stale, and surface the right evidence at decision time. Existing benchmarks measure recall over static dialogue, collapse me

PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers

👍 10

05/27 08:00

The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, how good these systems are actually, especially compared to human reviewers at catching scientific gaps, remains poorly u

RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains

👍 9

05/27 08:00

Pointwise reward modeling offers critical signals for LLM post-training, yet struggles with absolute scoring in subjective, non-verifiable settings. Rubric-based methods address this by decomposing evaluation into explicit criteria, but existing approaches typically depend on frontier LLMs and suffe

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

👍 21

05/27 08:00

Equipping large language models with explicit skills has emerged as a promising paradigm for enabling autonomous agents to solve complex tasks. Agent skills can be inherently divided into general skills for broad cognitive transfer and task-specific skills for dynamic execution. However, existing sk

PANDO: Efficient Multimodal AI Agents via Online Skill Distillation

👍 5

05/26 08:00

Recent advances in multimodal web agents often rely on increased inference-time computation, including rollout search, verifier passes, offline skill discovery, and specialist model stacks. This raises a central question: can a web agent become more efficient as it accumulates experience, rather tha

Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases

👍 2

05/26 08:00

Reinforcement Learning from Human Feedback (RLHF) is the standard method to align Large Language Models (LLMs) with human preferences. In this work, we introduce alignment tampering, a potential vulnerability where the LLM undergoing alignment influences the preference dataset, causing RLHF to ampli

CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM

👍 4

05/24 08:00

Long-horizon LLM inference turns the key--value (KV) cache into the dominant GPU memory consumer and makes per-token attention increasingly expensive. Many common eviction policies use static recency windows or historical attention, leaving unused a signal computed on every decoding step: the model'

Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments

👍 5

05/21 08:00

Occlusion-aware prediction remains a critical challenge in autonomous driving due to the inherent uncertainty of unobserved regions. Existing approaches either overestimate risk based on reachable states or struggle to predict accurate trajectories under high occlusion uncertainty. To address these

Reflective Prompt Tuning through Language Model Function-Calling

👍 4

05/20 08:00

Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without parameter updates. Yet prompt design remains labor-intensive and highly sensitive to formatting, phrasing, and instruction

ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage

👍 0

05/09 08:00

Smartphone scams are increasingly prevalent and typically manifest as multi-stage, cross-application processes with gradually emerging intent. Effective intervention thus requires anticipating scams before the intent becomes explicit. This is inherently challenging, as decisions must rely on partial

How to Build a Software Factory with Claude Code That Ships Features While You Sleep

@sairahul1 · 106.0K 粉丝 · 2.8M 阅 · 1.5K 赞 · 205 转

05/25 16:46

I thought I was using AI to code. I was actually just typing faster. Here is the difference — and the 7-agent system that changed everything. Save this. It will save you months. THE PROBLEM NOBODY

中文介绍 开发者 saiRahul 分享用 Claude Code 搭建的 7-agent 软件工厂系统，能自动完成需求分析、代码编写、测试和部署，显著提升效率并实现全天候功能交付，核心是让 AI 从辅助打字变成端到端独立工作。

How to Build a Claude Research Agent That Reads the Internet Every Morning and Briefs You in 5 Mins

@cyrilXBT · 181.7K 粉丝 · 127.8K 阅 · 533 赞 · 80 转

05/25 11:16

Most people start their day the same way. They open Twitter and spend 20 minutes scrolling through noise looking for the three things that actually matter. They open their email and get pulled into

中文介绍 cyrilXBT 介绍了如何构建一个 Claude 研究 Agent，每天早晨自动扫描互联网，在 5 分钟内将关键信息整理成简报，帮助用户避开 Twitter 和邮件中的信息噪音，节省 20 分钟的手动浏览时间。

How I Use Cursor

@poteto · 26.6K 粉丝 · 86.5K 阅 · 540 赞 · 48 转

05/26 02:15

I need to get something off my chest. Before my interview @cursor_ai, I had never actually used Cursor. At Meta, Claude Code was explosively taking off. I even paid for a personal $200 a month plan

中文介绍 poteto 坦诚分享从 Meta 内部 Claude Code 白嫖用户转到自己面试 Cursor 的亲身经历，对比两者差异，并展示如何使用 Cursor 进行编码实践，视角独特，不吹不黑。

Step-By-Step LLM Engineering Projects (2026 Edition)

@TheAhmadOsman · 59.9K 粉丝 · 54.5K 阅 · 512 赞 · 65 转

05/25 11:01

At some point, reading about LLMs stops being enough. You need to build the stack yourself: Tokenizer first, then embeddings, position, attention, Transformer blocks, objectives, decoding, cache, long

中文介绍 Ahmad Osman 发布 2026 版 LLM 工程入门项目路线图，从 Tokenizer 、Embeddings 到 Attention、Transformer 块、解码、缓存等完整堆栈拆解，强调读完理论后必须动手搭建才能真理解。

THE DIFF THAT CHANGED EVERYTHING

@difflawb · 20.3K 粉丝 · 21.9K 阅 · 1.1K 赞 · 389 转

05/25 23:13

How a 40-line shell script became infrastructure In August 2024, Andrej Karpathy — co-founder of OpenAI, former AI Director at Tesla — published something unexpectedly small. Not a paper. Not a model.

中文介绍 回顾 Andrej Karpathy 在 2024 年 8 月发布的一个仅 40 行 shell 脚本，并非论文或模型，却成为基础设施级工具，揭示小而精的代码同样能带来巨大影响力。

The Start of the End: AI Replacement Has Begun

@ActionModelAI · 57.1K 粉丝 · 5.8K 阅 · 505 赞 · 344 转

05/25 19:29

We are witnessing the beginning of the biggest economic shift in modern history. And most people still don’t realize it. AI replacement is no longer some distant sci-fi prediction. It has started.

中文介绍 作者认为 AI 替代工作已不再是科幻概念，而是正在发生的最大经济变革，提醒大多数人仍未意识到这一趋势的紧迫性，属于对 AI 周期转折的预警性观点。

Browsers Are Dead. Codex Just Replaced Them.

05/28 22:56

中文介绍 Codex 被宣称将取代传统浏览器，成为新一代交互界面，引发对AI工具替代性的讨论。

AI Agents: Every NEW Claude & Codex Feature Explained

05/24 06:29

中文介绍 全面解析Claude与Codex的AI代理新功能，涵盖所有更新亮点与使用方法。

Codex: Build Your Full AI Marketing Team (Agents + Skills)

05/18 23:31

OpenAI just released Codex Mobile

05/16 02:58

Codex Mobile App Released (Complete Setup Guide)

05/15 09:35

Vibe Coding for Beginners (Full Course 2026)

05/08 03:28

Codex is The NEW Best AI Coding Tool (Here's Why)

05/03 04:35

7 Tools That Make Codex 10x MORE Powerful

04/30 09:19

Learn 95% of Codex in 30 minutes

04/29 10:08

With Codex and GPT 5.5 you can just do things.

04/26 07:48

[AINews] Founders and Forward Deployed Engineers

Latent Space · 05/30 09:57

a quiet day lets us highlight the new AIE WF focuses

中文介绍 本周AI新闻聚焦创始人与前向部署工程师，Latent Space强调了AIE WF的新关注点。

Boston Children’s uses AI to unlock new diagnoses

OpenAI News · 05/29 20:00

Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.

中文介绍 波士顿儿童医院利用OpenAI技术改善患者护理、减少运营负担，并帮助诊断超过40种罕见疾病。

How Braintrust turns customer requests into code with Codex

OpenAI News · 05/29 20:00

How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.

中文介绍 Braintrust工程师使用Codex结合GPT-5.5，将客户需求转化为代码，加速实验和开发流程。

How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment

MIT Tech Review AI · 05/29 18:00

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we ente

中文介绍 教皇利奥十四世发布人工智能通谕《辉煌人性》，强调“技术从未中立”，呼吁技术人员和政策制定者以勇气应对AI时代。

not much happened today

Smol AI News · 05/29 13:44

**Anthropic** rolled out **Claude Opus 4.8**, which shows incremental improvements but mixed benchmark results, including better cooperation and coding behavior but some regressions in document parsing. Platform updates include mid-conversation system instructions enhancing long agent sessions, thou

中文介绍 Anthropic推出Claude Opus 4.8，带来渐进式改进，如更好的协作和编码行为，但文档解析出现退化。支持对话中途修改系统指令。

Strengthening societal resilience with Rosalind Biodefense

OpenAI News · 05/29 11:00

OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.

中文介绍 OpenAI启动Rosalind生物防御计划，向经审核的开发者和美国政府合作伙伴扩展GPT-Rosalind的受信任访问，推动生物防御和公共卫生。

[AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode

Latent Space · 05/29 10:07

Total Anthropic victory!

中文介绍 Anthropic以9650亿美元估值完成H轮融资，并发布Opus 4.8及动态工作流/超代码功能。

A shared playbook for trustworthy third party evaluations

OpenAI News · 05/29 08:00

OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.

中文介绍 OpenAI发布第三方AI评估共享指南，涵盖评估模型能力、安全措施及前沿系统有效性的方法。

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

Hugging Face Blog · 05/29 08:00

中文介绍 Hugging Face博客发布PyTorch性能分析入门指南，介绍torch.profiler的基本使用方法。

Opus 4.8 🧠, Anthropic at $965B 💰, Microsoft’s coding model 👨‍💻

TLDR AI · 05/29 08:00

中文介绍 今日AI要闻：Opus 4.8更新，Anthropic估值达9650亿美元，微软发布编码模型。

The Age of Async Agents — Cognition's Walden Yan & OpenInspect's Cole Murray

Latent Space · 05/29 02:41

80% Devin Commits, Spec-to-PR Workflows, Full VMs, Agent Memory, and PMs Shipping Code

中文介绍 Cognition的Walden Yan与OpenInspect的Cole Murray讨论异步代理时代，涉及80% Devin提交、规格到PR工作流、完整虚拟机及代理记忆。

How Endava builds an agentic organization with Codex

OpenAI News · 05/28 20:00

Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.

中文介绍 Endava利用Codex构建代理型组织，加速软件交付，将需求分析从数周缩短至数小时。

The AI Hype Index: AI gets booed in graduation season

MIT Tech Review AI · 05/28 17:51

It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. “I can…

中文介绍 AI hype指数显示，在毕业季，前谷歌CEO Eric Schmidt在亚利桑那大学演讲时遭学生嘘声，反映公众对AI热度反感。

[AINews] Cognition raises $1B in $26B Series D

Latent Space · 05/28 15:26

coding is an uncapped TAM market

中文介绍 Cognition以260亿美元估值完成10亿美元D轮融资，认为编程市场具有无限潜力。

Anthropic raises $65B in Series H at a $965B post-money valuation, releases Opus 4.8 and Dynamic Workflows

Smol AI News · 05/28 13:44

**Anthropic** announced a massive **$65B Series H financing** at a **$965B valuation**, led by **Altimeter, Dragoneer, Greenoaks, and Sequoia**, with run-rate revenue surpassing **$47B**. They launched **Claude Opus 4.8**, an update to Opus 4.7 featuring "sharper judgment," "more honesty," and longe

中文介绍 Anthropic完成650亿美元H轮融资，估值达9650亿美元，由Altimeter、Dragoneer等领投，年收入超470亿美元。同时发布Claude Opus 4.8，具有“更敏锐判断”。

给 AI 安排好任务，让它操作浏览器，修改域名解析，帮我把一个网站上线。然后我去厨房削苹果。削着削着就在想， MD 为什么是我在这削苹果，而不是我去上线网站。

05/31 23:54

4 回复 · 程序员 节点

用了多年的火绒，今晚我卸掉了它

05/31 23:05

16 回复 · 程序员 节点

美区， infuse 订阅什么途径最便宜？

05/31 18:30

8 回复 · Apple 节点

[通知] Codex 明早重置额度，上号，/fast 开蹬了

05/31 16:51

38 回复 · 程序员 节点

codex 即将刷新，快蹬

05/31 15:47

19 回复 · 程序员 节点

现在如果要加密备份到云盘的文件，有哪些方案

05/31 13:38

16 回复 · 程序员 节点

美区 AppleID 有办法用中国教育优惠认证吗？

05/31 11:10

9 回复 · Apple 节点

关于 iPhone air 国行 esim 卡的一个想法

05/30 10:49

9 回复 · Apple 节点

美区礼品卡被连着砍单 3 次

05/29 17:40

18 回复 · Apple 节点

计划外，换机请教🙏

05/29 11:18

6 回复 · Apple 节点

ChatGPT for Google Sheets Exfiltrates Workbooks

06/01 04:35

8 points · 0 comments

'Backrooms' Stuns with $81M Debut

06/01 03:27

90 points · 12 comments

Codex just found a "workaround" of not having sudo on my PC

06/01 02:57

223 points · 86 comments

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire

06/01 02:43

34 points · 1 comments

Re: [PATCH] OOM_pardon, a.k.a. don't kill my xlock (2004)

06/01 01:58

46 points · 37 comments

Deflock hits 100k ALPRs Mapped in USA

06/01 01:04

120 points · 31 comments

Meta launches Instagram, Facebook, and WhatsApp subscriptions

06/01 01:02

65 points · 98 comments

The Speed of Prototyping in the Age of AI

06/01 00:37

84 points · 49 comments

Creatine raises brain energy levels and slows cognitive decline: study

06/01 00:19

380 points · 267 comments

Odysseus – self-hosted AI workspace

05/31 23:50

75 points · 47 comments

Daily pill can double survival time for deadliest cancer, trial shows

05/31 23:43

123 points · 33 comments

1-Bit Bonsai Image 4B Image Generation for Local Devices

05/31 23:04

226 points · 80 comments

Restartable Sequences

05/31 22:38

152 points · 35 comments

Cloudflare Turnstile requiring fingerprintable WebGL

05/31 22:13

417 points · 225 comments

FROST: Fingerprinting Remotely using OPFS-based SSD Timing [pdf]

05/31 22:10

42 points · 14 comments

I put a datacenter GPU in my gaming PC

05/31 21:53

240 points · 153 comments

United Airlines 767 returns to Newark after Bluetooth name sparks alert

05/31 20:41

198 points · 310 comments

Show HN: Atomic Editor – Obsidian-style live preview for CodeMirror 6

05/31 20:32

49 points · 12 comments

Backpressure is all you need

05/31 20:11

111 points · 75 comments

Dav2d

05/31 19:44

373 points · 129 comments

London's Free Roof Terraces

05/31 15:16

247 points · 131 comments

The Website Specification

05/31 15:09

406 points · 175 comments

Telli (YC F24) is hiring in engineering, design, and GTM [Berlin, on-site]

05/31 15:00

1 points · 0 comments

One year of Roto, a compiled scripting language for Rust

05/29 22:07

112 points · 26 comments

Linux/M68k

05/29 19:46

37 points · 12 comments

Security Envelope Pattern collection – S.E.C.R.E.T

05/29 17:49

80 points · 9 comments

A Gentle Introduction to Lattice-Based Cryptography [pdf]

05/29 11:22

161 points · 16 comments

Having your insulin pump die while you're on vacation

05/29 02:33

101 points · 121 comments

Websites have a new way to spy on visitors: analyzing their SSD activity

05/28 22:32

73 points · 15 comments

The Four Programming Questions from My 1994 Microsoft Internship Interview (2023)

05/28 16:28

11 points · 2 comments