2026-06-26（内容获取于 06/26 08:06）

Run a vLLM Server on HF Jobs in One Command

Hugging Face Blog · 06/26 08:00

中文介绍 Hugging Face博客宣布，用户现在可以通过一条命令在Hugging Face Jobs平台上运行vLLM服务器。vLLM是一种高效的大型语言模型推理引擎，此举简化了其部署和使用流程，方便开发者进行模型服务。

The White House is asking OpenAI to slow roll the release of its new model over safety concerns

TechCrunch · 06/26 07:34

penAI reportedly plans to share its newest model, GPT 5.6, with a select group of partners instead of to the broader public. The reason: the Trump administration told it to.

中文介绍 消息称，白宫要求OpenAI推迟其最新模型GPT 5.6的公开发布，理由是存在安全担忧。OpenAI据报道计划首先将GPT 5.6共享给部分精选合作伙伴，而非面向大众市场发布。此举是应特朗普政府的要求。

YouTube Shorts are getting even shorter with an update that lets you double the playback speed

TechCrunch · 06/26 06:02

YouTube Shorts is getting a makeover.

中文介绍 YouTube Shorts将推出一项更新，允许用户将视频播放速度提升至双倍，从而使短视频能以更快的节奏观看。此项功能旨在改进用户体验并提供更多观看选项，是YouTube Shorts产品更新的一部分。

Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents

TechCrunch · 06/26 04:19

Agent-testing startup Patronus AI, founded by former Meta AI researchers, is experiencing nearly insatiable demand, its investor says.

中文介绍 由前Meta AI研究人员创立的初创公司Patronus AI获得5000万美元融资，用于构建「数字世界」以对AI代理进行压力测试。据其投资者透露，市场对Patronus AI的需求“几乎无法满足”，显示该AI代理测试技术备受关注。

Polymarket says hackers stole users’ funds

TechCrunch · 06/26 03:58

The prediction market giant Polymarket said it's refunding users who had funds stolen due to a third-party breach.

中文介绍 预测市场巨头Polymarket表示，因第三方安全漏洞，黑客窃取了部分用户资金。该公司已承诺将为所有受影响的用户进行退款，以弥补此次安全事件造成的损失。

Xbox follows Apple with price increases

TechCrunch · 06/26 03:39

The company says the increases are being driven by rising memory and console storage prices, with costs more than 2.5x higher than previous levels.

中文介绍 Xbox宣布将提高其产品价格，此举效仿了苹果公司的定价策略。微软表示，价格上涨的主要原因是内存和主机存储成本显著增加，已超过此前水平的2.5倍。

Notion Mail shuts down amid agent takeover

TechCrunch · 06/26 03:14

The company said it is discontinuing its email inbox in favor of its AI agent offering as users are increasingly handing over the reins of their email to the agents.

中文介绍 Notion Mail宣布将关闭其电子邮件收件箱服务，转而专注于其AI代理产品。公司表示，此举是由于用户越来越倾向于将电子邮件管理交由AI代理处理，促使业务策略进行调整。

a16z-backed Base Power is offering cheaper electricity to the power grid that needs it most

TechCrunch · 06/26 01:52

Base Power is skipping the PJM's troubled interconnection queue by placing its batteries at people's homes, offering backup services in exchange.

中文介绍 由a16z支持的Base Power公司正在向急需电力的电网提供更廉价的电力。该公司通过在居民家中安装电池，提供备用服务，从而绕过了PJM电网互联的复杂排队系统。

Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT

TechCrunch · 06/26 01:38

Despite ChatGPT's commanding market lead, consumers who pay for AI have been increasingly choosing Anthropic's Claude, data shows.

中文介绍 数据显示，尽管ChatGPT在市场占据主导地位，但付费AI消费者正越来越多地选择Anthropic的Claude。这意味着在付费用户群体中，Claude正在逐渐赢得市场份额，挑战ChatGPT的现有优势。

General Intuition’s $2.3B bet that video games can train AI agents for the real world

TechCrunch · 06/26 00:55

General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.

中文介绍 General Intuition公司已筹集3.2亿美元，旨在扩大基于数百万小时游戏玩法数据训练的AI规模，其总目标投资高达23亿美元。该公司押注这些行动数据能帮助AI开发出更接近人类直觉的能力，应用于真实世界。

Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x

TechCrunch · 06/26 00:48

Un-0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems.

中文介绍 Databricks前AI负责人表示，他开发的技术有望将AI的电力消耗降低1000倍。其公司推出的图像生成系统Un-0首次展示了这项技术如何有效复制传统AI系统，为AI能耗优化提供了新方向。

Hacked Klue says criminals are deleting stolen customer data, but now other hackers are making threats

TechCrunch · 06/26 00:40

Market research company Klue told customers that it believes the hacking group that stole their data is now deleting it. The company, however, warned about a second group of hackers wanting ransom.

中文介绍 市场研究公司Klue在数据被窃后向客户通报，认为实施攻击的第一批黑客正在删除被盗数据。然而，Klue同时警告称，有第二批黑客组织正在进行勒索威胁，要求支付赎金。

Which tokens does a hybrid model predict better?

Hugging Face Blog · 06/26 00:11

中文介绍 Hugging Face博客上的一篇文章探讨了混合模型在预测不同类型Token时的表现差异。该研究可能来自AllenAI，旨在深入分析混合模型在自然语言处理或大模型任务中，哪些Token类型能够被更有效地预测。

Rippling now wants to be your entire data stack

TechCrunch · 06/26 00:00

"There were employees doing things like, 'Claude is so helpful for me — it analyzes my calendar and my email and puts together a plan for me,'" he says. "That person was spending at a run rate of $30,000 a year for this."

中文介绍 Rippling公司正寻求成为一站式数据管理平台，旨在整合企业所有数据。报道引用了高管Parker Conrad的观点，指出有员工每年在利用Claude等AI工具分析日历和邮件并制定计划上花费高达3万美元，凸显了企业AI支出的高昂成本。

Google Finance gets a dedicated app for Android

TechCrunch · 06/26 00:00

Users will be able to access their watchlists, real-time market data, live financial news, and Google's AI-powered "Key Moments" feature, which explains why stocks moved.

中文介绍 谷歌金融（Google Finance）已为安卓系统推出专属应用。该应用提供用户自选股列表、实时市场数据、即时财经新闻，并加入了谷歌AI驱动的「关键时刻」功能，能解释股票波动的原因。

v2.1.193

06/26 05:45

What's changed Added autoMode.classifyAllShell setting to route all Bash/PowerShell commands through the auto-mode classifier instead of only arbitrary-code-execution patterns Added auto-mode denial reasons to the transcript, the denial toast, and /permissions recent denials Added claude_code.assist

中文介绍 Anthropic的Claude Code发布了v2.1.193版本。主要更新包括新增「autoMode.classifyAllShell」设置，允许所有Bash/PowerShell命令通过自动模式分类器。此外，该版本还在记录和界面中增加了自动模式拒绝原因显示。

v2.1.191

06/25 05:58

What's changed Added /rewind support for resuming a conversation from before /clear was run Fixed scroll position jumping to the bottom while reading earlier output during a streaming response Fixed background agents resurrecting after being stopped — stopping an agent from the tasks panel is now pe

中文介绍 Anthropic的Claude Code发布了v2.1.191版本更新。此次更新引入了「/rewind」功能，使用户能够从清除会话前的状态恢复对话。同时，该版本还修复了滚动位置跳动及后台代理意外重启等用户体验问题。

v2.1.190

06/24 23:53

What's changed Bug fixes and reliability improvements

v2.1.187

06/24 05:03

What's changed Added sandbox.credentials setting to block sandboxed commands from reading credential files and secret environment variables Added org-configured model restrictions to the model picker, --model, /model, and ANTHROPIC_MODEL, with a "restricted by your organization's settings" message w

v2.1.186

06/23 04:37

What's changed Added claude mcp login and claude mcp logout to authenticate MCP servers from the CLI without opening the interactive /mcp menu, with --no-browser stdin redirect support for completing over SSH Added status filtering (press f) to the /workflows agent detail view Added a "Skills" secti

v2.1.185

06/21 04:59

What's changed The stream-stall hint now reads "Waiting for API response · will retry in …" instead of "No response from API · Retrying in …", and triggers after 20s of silence instead of 10s

v2.1.183

06/19 09:20

What's changed Improved auto mode safety: destructive git commands (git reset --hard, git checkout -- ., git clean -fd, git stash drop) are now blocked when you didn't ask to discard local work, git commit --amend is blocked when the commit wasn't made by the agent this session, and terraform destro

v2.1.181

06/18 06:07

What's changed Added /config key=value syntax to set any setting from the prompt (e.g. /config thinking=false) — works in interactive, -p, and Remote Control Added sandbox.allowAppleEvents opt-in setting that lets sandboxed commands send Apple Events on macOS Added CLAUDE_CLIENT_PRESENCE_FILE enviro

v2.1.179

06/17 04:22

What's changed Fixed mid-stream connection drops: partial responses are now preserved instead of showing a raw error, and the spinner no longer gets stuck at "running tool" Fixed mouse-wheel scrolling in WSL2 under Windows Terminal and VS Code (regression in 2.1.172) Fixed a sandbox denyRead/allowRe

v2.1.178

06/16 05:35

What's changed Added Tool(param:value) syntax for permission rules to match a tool's input parameters (with * wildcard), e.g. Agent(model:opus) to block Opus subagents Skills in nested .claude/skills directories now load when working on files there; on a name clash, the nested skill appears as : so

google-labs-code/design.md

TypeScript · ★ 19,134 · 🍴 1,644 · 📈 1,475 stars today

A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.

中文介绍 design.md 是一个格式规范，旨在帮助 AI 编码代理理解并持久化设计系统的视觉识别。它通过结构化方式定义设计元素，使 AI 能准确地将设计意图转化为代码，从而提高开发效率和设计一致性。适用于需要 AI 自动化前端或 UI 开发的团队，确保设计规范被智能体正确遵循。

calesthio/OpenMontage

Python · ★ 22,019 · 🍴 2,472 · 📈 3,434 stars today

World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

中文介绍 OpenMontage 是全球首个开源的 Agentic 视频制作系统，集成了12条生产线、52种工具和500多个智能体技能。它能将现有的 AI 编码助手扩展为一个完整的视频制作工作室，实现视频内容的自动化生成与编辑，极大地提升视频制作效率。适用于内容创作者、营销人员及媒体机构。

xbtlin/ai-berkshire

Python · ★ 1,828 · 🍴 295 · 📈 309 stars today

AI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters' methodologies + multi-agent adversarial analysis.

中文介绍 AI 时代的伯克希尔是一个基于 Claude Code 的价值投资研究框架，融合了巴菲特、芒格、段永平、李录四位投资大师的方法论。它利用多 Agent 并行研究，旨在为用户提供深入的、AI 驱动的投资分析，帮助识别有价值的投资标的。适合寻求 AI 辅助决策的价值投资者和金融研究者。

mauriceboe/TREK

TypeScript · ★ 6,620 · 🍴 605 · 📈 241 stars today

A self-hosted travel/trip planner with real-time collaboration, interactive maps, PWA support, SSO, budgets, packing lists, and more.

中文介绍 TREK 是一款功能丰富的自托管旅行计划工具，支持多用户实时协作和交互式地图。它提供 PWA 支持、单点登录、预算管理和打包清单等实用功能，旨在简化旅行规划过程。用户可以安全地部署在自己的服务器上，完全掌控数据，非常适合家庭、朋友或小型团队协作规划行程。

apple/container

Swift · ★ 43,191 · 🍴 1,267 · 📈 1,351 stars today

A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.

中文介绍 Apple Container 是一个为 Mac 用户设计的工具，用于通过轻量级虚拟机创建和运行 Linux 容器。它采用 Swift 语言编写，并针对 Apple Silicon 芯片进行了优化，提供高效的原生体验。该项目旨在为开发者和 DevOps 工程师提供在 macOS 环境下无缝管理 Linux 容器的解决方案，无需额外工具。

JCodesMore/ai-website-cloner-template

TypeScript · ★ 20,395 · 🍴 3,005 · 📈 1,024 stars today

Clone any website with one command using AI coding agents

中文介绍 ai-website-cloner-template 提供了一个使用 AI 编码代理一键克隆任何网站的解决方案。它简化了网站复制过程，通过智能体自动化解析、重构网页结构和内容。这对于开发者快速搭建原型、测试兼容性或进行前端学习非常有用，大幅节省手动编写或调整代码的时间。

every-app/open-seo

TypeScript · ★ 2,501 · 🍴 295 · 📈 57 stars today

Open source alternative to Semrush and Ahrefs

中文介绍 Open-SEO 是一个开源的搜索引擎优化（SEO）工具，旨在提供 Semrush 和 Ahrefs 等商业产品的替代方案。它帮助网站管理员和营销人员分析关键词、监控网站排名、进行竞品研究和技术 SEO 审计，以提升网站在搜索引擎中的可见性。适合预算有限或追求数据自主控制的个人及团队。

garrytan/gstack

TypeScript · ★ 115,775 · 🍴 17,166 · 📈 767 stars today

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

中文介绍 gstack 提供了 Garry Tan 专属的 Claude Code 配置，集成23个工具，模拟CEO、设计师、工程经理、发布经理、文档工程师及QA等多个角色。它旨在构建一个高效、多功能的 AI 协作生态，协助用户进行产品开发、管理和运营。适合希望利用 Claude Code 提升团队协作与自动化工作流的开发者和创业者。

aws/agent-toolkit-for-aws

Python · ★ 1,124 · 🍴 114 · 📈 47 stars today

Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS

中文介绍 agent-toolkit-for-aws 是 AWS 官方支持的工具包，提供 MCP 服务器、预定义技能和插件，旨在简化 AI 代理在 AWS 云环境中的构建与部署。它帮助开发者充分利用 AWS 资源，快速开发和管理复杂的 AI 智能体应用，确保其能有效执行任务和与其他服务集成。适合在 AWS 平台构建 AI Agent 解决方案的团队。

mukul975/Anthropic-Cybersecurity-Skills

Python · ★ 21,208 · 🍴 2,445 · 📈 571 stars today

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

中文介绍 Anthropic-Cybersecurity-Skills 提供了 817 个结构化的网络安全技能，专为 AI 代理设计。这些技能映射至 MITRE ATT&CK、NIST CSF 2.0 等六大主流安全框架，并遵循 agentskills.io 标准。该项目旨在赋能 AI 智能体进行威胁检测、风险评估和安全响应，提升自动化安全防护能力。适用于构建 AI 驱动安全解决方案的开发者和安全分析师。

alibaba/page-agent

TypeScript · ★ 19,791 · 🍴 1,705 · 📈 163 stars today

JavaScript in-page GUI agent. Control web interfaces with natural language.

中文介绍 page-agent 是一个基于 JavaScript 的页内 GUI 代理，允许用户通过自然语言指令来控制网页界面。它通过理解用户意图并将其转化为实际的 UI 操作，极大地简化了与复杂网页的交互。该项目旨在提升网页可用性和自动化水平，适用于前端开发、自动化测试以及希望通过对话式界面操作网页的用户。

IceWhaleTech/CasaOS

Go · ★ 34,800 · 🍴 1,991 · 📈 223 stars today

CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.

中文介绍 CasaOS 是一款设计简洁、易于使用的开源个人云系统。它旨在为用户提供一个优雅的私有云解决方案，方便地管理文件、应用和数据，打造专属的家庭服务器或个人数据中心。CasaOS 降低了搭建和维护个人云的门槛，让用户能完全掌控自己的数据，享受安全、便捷的数字生活。

opendatalab/MinerU

Python · ★ 69,540 · 🍴 5,883 · 📈 644 stars today

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

中文介绍 MinerU 旨在解决复杂文档处理难题，能将 PDF 和 Office 等格式的非结构化文档，高效转换为 LLM 友好的 Markdown 或 JSON 格式。这极大地简化了大型语言模型（LLM）和 Agentic 工作流的数据准备过程，使得从报告、手册中提取信息并进行分析变得更加便捷。适合需要对海量文档进行智能分析的用户。

Free-TV/IPTV

Python · ★ 18,193 · 🍴 2,677 · 📈 139 stars today

M3U Playlist for free TV channels

中文介绍 IPTV 提供了一个不断更新的 M3U 播放列表，汇集了众多免费电视频道。用户可以通过支持 M3U 格式的播放器或应用程序，便捷地观看这些免费内容。此项目旨在为用户提供一个免费获取全球电视资源的途径，适用于希望拓展观影选择、无需付费订阅的用户。

shanraisshan/claude-code-best-practice

HTML · ★ 60,505 · 🍴 6,061 · 📈 287 stars today

from vibe coding to agentic engineering - practice makes claude perfect

中文介绍 claude-code-best-practice 汇集了使用 Claude Code 从“氛围编码”到“Agentic Engineering”的最佳实践。它提供了实用的技巧和经验，旨在帮助开发者更高效、更精准地利用 Claude 进行代码生成和智能体系统开发，提升 LLM 应用的质量和可靠性。适用于希望深入掌握 Claude Code 的工程师和研究人员。

NanmiCoder/MediaCrawler

Python · ★ 52,734 · 🍴 10,920 · 📈 398 stars today

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫

中文介绍 MediaCrawler 是一个多功能社交媒体内容爬虫，支持抓取小红书笔记、抖音视频、快手视频、B 站视频、微博帖子、百度贴吧帖子及知乎问答文章的评论等多种数据。它旨在帮助用户高效地收集和分析社交媒体平台上的公开信息，适用于市场趋势分析、用户行为研究或个人内容存档。

Loops explained: Claude, GPT, Mira and what actually works

@AnatoliKopadze · 83.0K 粉丝 · 1.3M 阅 · 584 赞 · 70 转

06/20 21:40

AI has been in everyone's hands for years. Most people who use it every day still use it the slowest way there is: type a request, wait, fix it, ask again, all by hand. Not because the faster way is

中文介绍 该帖解释了 AI Loops 的核心概念，指出多数用户仍以手动、低效方式与 AI 交互。博主强调 Loops 能实现 AI 流程自动化，显著提升效率，并可能对比了 Claude、GPT、Mira 等模型在实际 Loop 工程中的表现，旨在改变用户传统AI使用习惯。

How to Build an AI Second Brain With Claude and Obsidian That Gets Smarter Every Day (Full Guide)

@undefinedKi · 3.9K 粉丝 · 1.0M 阅 · 601 赞 · 78 转

06/20 20:15

Your best ideas are scattered across a dozen places right now. Notes apps. Browser tabs. Old chats with Claude that you closed and will never find again. Every time you sit down to work, you rebuild

中文介绍 帖子分享了利用 Claude 和 Obsidian 构建「AI 第二大脑」的完整指南。旨在帮助用户整合分散的笔记、想法和旧有AI对话记录，实现知识的系统化管理和持续学习。通过这个工作流，用户能打造一个每日自我进化的智能知识库，解决信息碎片化问题。

40 Claude Opus 4.8 Workflows That Make Money While You Sleep

@eng_khairallah1 · 69.3K 粉丝 · 678.7K 阅 · 506 赞 · 81 转

06/21 17:00

Most people are using Claude Opus 4.8 to answer questions. Save this :) A small group of people have it running businesses while they sleep. The difference is not the model. You both have access to

中文介绍 博主分享了 40 种利用 Claude Opus 4.8 实现自动化盈利的工作流。区别于常见的问答用途，这些高级应用能让AI在用户休息时持续运营业务。帖子强调，关键不在于模型本身，而是如何设计和部署这些“睡后收入”流程，为用户提供赚钱新思路。

The efficiency gap: How do cells and GPUs compare when running the exact same algorithm?

@spandan_madan · 1.1K 粉丝 · 626.9K 阅 · 516 赞 · 28 转

06/24 02:13

AI hardware is having a moment. Hyperscaler capex on AI data centres is on track to clear $690 billion in 2026, and private equity has followed in scale — Blackstone alone reports a $55B+ data-centre

中文介绍 帖子探讨了细胞与 GPU 在执行相同算法时的效率差异，深入对比了生物计算与当前主流 AI 硬件的效能差距。在 AI 数据中心投资飙升的背景下，博主可能提供了生物启发计算的新视角，分析未来 AI 硬件发展的潜力与挑战，对能效与算力提出思考。

How To Learn Anything 10x Faster Using Claude

@sairahul1 · 120.1K 粉丝 · 581.3K 阅 · 516 赞 · 110 转

06/20 16:30

Learning anything today is easy and confusing at the same time. Easy because AI can explain almost anything in seconds. Confusing because most people just ask random questions, get random answers, and

中文介绍 帖子分享了利用 Claude 将学习效率提高十倍的秘诀。指出尽管 AI 能快速提供信息，但多数人因随机提问而效率低下。博主旨在教授用户如何提出有效问题，精准利用 Claude 获取高质量答案，从而系统化、快速地掌握新知识，避免信息碎片化。

Introducing Engram: Scaling compute on your context

@EngramLab · 1.2K 粉丝 · 255.7K 阅 · 537 赞 · 76 转

06/24 01:01

We’re Engram. We’re building AI that learns from you and deeply understands your work. Today’s AI models don’t understand what you do. Not really. Everything models know comes from their training –

中文介绍 Engram 团队发布了其新产品 Engram，旨在构建能深度学习并理解用户工作的 AI。该产品超越了现有 AI 模型仅依赖训练数据的局限，通过扩展用户上下文计算来提供更个性化的智能服务。博主强调其 AI 能真正理解用户需求并从交互中进化。

30 Core Agentic Engineering Concepts Every Developer Should Know

@sairahul1 · 120.1K 粉丝 · 249.0K 阅 · 502 赞 · 90 转

06/23 17:28

There are 8 billion people on the planet. Only a fraction of developers understand how AI agents actually work. Not the demos. Not the hype. The real engineering underneath. Every week a new agent

中文介绍 帖子列举了 30 个 AI Agent 核心工程概念，旨在帮助开发者深入理解 AI Agent 的实际工作原理，而非停留在演示和炒作层面。博主强调了掌握这些底层工程知识的重要性，以应对每周不断涌现的新 Agent 技术，提升开发者的专业素养。

ORACLE: Official AI Agents Trade on Polymarket

@Oracle_Trade_ai · 39.9K 粉丝 · 197.8K 阅 · 2.8K 赞 · 580 转

06/22 16:52

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 帖子宣布 Oracle AI Agent 正式在 Polymarket 预测市场进行交易。数据显示，到 2026 年，自治 AI Agent 已成为预测市场最有效的策略之一，Polymarket 上超过 30% 的活动由算法和 AI 驱动的钱包产生，揭示了AI在金融预测领域的强大影响力。

Why we're bullish on loops

@posthog · 21.8K 粉丝 · 162.4K 阅 · 512 赞 · 36 转

06/24 01:26

When the creators of both OpenClaw and Claude Code speak, people listen. And recently Peter Steinberger and Boris Cherny have both been talking about the same concept: loops. Their argument? You

中文介绍 帖子探讨了为何业界对「Loops」概念前景看好，并引用 OpenClaw 和 Claude Code 创始人的观点加以佐证。博主指出，Loops 并非简单的重复，而是实现 AI 自动化、提升代码生成效率和智能决策的关键，预示着 AI 工作流的新范式。

ORACLE: Official AI Agents Trade on Polymarket

@OracAItrading · 31.8K 粉丝 · 141.6K 阅 · 2.8K 赞 · 576 转

06/22 16:52

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 帖子宣布 Oracle AI Agent 正式在 Polymarket 预测市场进行交易。数据显示，到 2026 年，自治 AI Agent 已成为预测市场最有效的策略之一，Polymarket 上超过 30% 的活动由算法和 AI 驱动的钱包产生，揭示了AI在金融预测领域的强大影响力。

Interactions API: Our primary interface for Gemini models and agents

@GoogleAIStudio · 179.4K 粉丝 · 138.2K 阅 · 504 赞 · 42 转

06/23 01:21

Today we're announcing that the Interactions API has reached general availability and is now our primary API for interacting with Gemini models and agents. We launched its public beta in December

中文介绍 GoogleAIStudio 宣布 Interactions API 已正式发布，成为与 Gemini 模型和 AI Agent 交互的主要接口。该 API 于去年 12 月推出公开测试版，此次正式可用意味着开发者现在可以稳定、高效地利用此接口，为基于 Gemini 的应用和Agent提供核心连接。

ORACLE: Official AI Agents Trade on Polymarket

@Oractrading · 33.9K 粉丝 · 109.2K 阅 · 2.8K 赞 · 585 转

06/22 16:20

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 帖子宣布 Oracle AI Agent 正式在 Polymarket 预测市场进行交易。数据显示，到 2026 年，自治 AI Agent 已成为预测市场最有效的策略之一，Polymarket 上超过 30% 的活动由算法和 AI 驱动的钱包产生，揭示了AI在金融预测领域的强大影响力。

How To Use Loop Engineering To Build A Self-Improving Quant Trading System

@RohOnChain · 51.4K 粉丝 · 108.3K 阅 · 501 赞 · 65 转

06/22 21:54

I will break down exactly how to build the loops that run an entire quant trading system on their own. Let's get straight to it. Bookmark This - I'm Roan, a backend developer working on system

中文介绍 博主 Roan 详细讲解了如何利用 Loop Engineering 技术构建一个自我改进的量化交易系统。帖子将拆解实现自动化量化交易的核心 Loops 架构，旨在帮助读者理解并搭建能独立运行、不断优化的交易策略，为量化金融领域的AI应用提供实战指导。

WTF Is a Loop? Part 2: The 15 Loops People Are Actually Running (and the Commands to Steal Them)

@mvanhorn · 35.2K 粉丝 · 102.4K 阅 · 510 赞 · 56 转

06/21 04:09

Earlier this month I wrote WTF Is a Loop? Peter Steinberger vs. Boris Cherny, which did 3.6M views on what a loop even is. This is the sequel, and it answers the next question: which loops do people

中文介绍 继首篇爆款推文后，博主发布续篇，深入探讨了用户实际运行的 15 种 AI Loops。帖子不仅揭示了这些高效 Loops 的具体应用场景，还提供了“窃取”它们的命令，旨在帮助读者直接借鉴和部署，将理论知识转化为实际的 AI 自动化工作流。

From Prompting Agents to Loop Engineering

@omarsar0 · 308.0K 粉丝 · 90.2K 阅 · 504 赞 · 69 转

06/20 00:31

A claim has been circulating in AI coding circles: stop prompting your coding agents and start designing loops that prompt them for you. As with everything new, this stuff gets repeated often and

中文介绍 帖子探讨了 AI 编码领域从手动提示 Agent 向 Loop Engineering 的转变。核心观点是：与其直接提示编码 Agent，不如设计能够自动提示这些 Agent 的 Loops。博主深入分析了这一新范式如何显著提升编码效率和自动化水平，是AI开发的新趋势。

How GLM-5.2 Beat Fable 5 at Website Design

@Designarena · 13.9K 粉丝 · 80.4K 阅 · 518 赞 · 39 转

06/20 01:58

GLM 5.2 ranks 1st overall on Design Arena’s single-turn, HTML Web Design (Non-Agentic) evaluation, 5 places higher than its predecessor GLM-5.1. To do so, it beat Claude Fable 5, Opus 4.6, and Opus

中文介绍 GLM-5.2 在 Design Arena 的单轮 HTML 网页设计（非 Agentic）评估中，超越 Claude Fable 5、Opus 4.6 等多个模型，跃居总榜第一。该模型表现显著，比其前身 GLM-5.1 提升 5 个名次，展示了其在网站设计领域的卓越性能和进步。

Subnets mine TAO; TAO mines Subnets

@const_reborn · 29.7K 粉丝 · 79.8K 阅 · 503 赞 · 116 转

06/23 09:21

e_i \;\propto\; \underbrace{\rho_i \times \bar{p}_i}_{\text{linear (maximize)}} \times \underbrace{(1 - b_i)}_{\text{boolean gate}} Disclaimer: this upgrade only effects subnet owners and dynamic TAO

中文介绍 帖子探讨了 Subnets 与 TAO 之间「互为挖矿」的经济激励模型，即 Subnets 产出 TAO，而 TAO 又反过来激励 Subnets 生态发展。博主分享了一个关于动态 TAO 分配的公式，并声明该升级主要影响 Subnet 所有者，深入解读了去中心化网络中的激励机制。

How we built the world’s fastest API for GLM-5.2

@philipkiely · 8.6K 粉丝 · 73.1K 阅 · 544 赞 · 36 转

06/23 08:13

GLM-5.2 is the biggest news in open models since DeepSeek-R1. It’s easy to see why. GLM-5.2 delivers comparable performance to GPT 5.5 and Opus 4.8 at a fraction of the cost, generally 70-80% less

中文介绍 帖子分享了构建 GLM-5.2 全球最快 API 的经验。博主强调，GLM-5.2 是自 DeepSeek-R1 以来开源模型领域的重大突破，其性能可媲美 GPT 5.5 和 Opus 4.8，但成本却能降低 70-80%，为开发者提供了极具性价比的高性能模型解决方案。

The Next 5 Years: A Supersonic Tsunami

@PeterDiamandis · 400.3K 粉丝 · 51.7K 阅 · 551 赞 · 75 转

06/21 23:22

Elon described the near future as a “supersonic tsunami”: a wave moving so fast and so large that by the time you hear it coming, it has already broken over you. The phrase stuck with me. So let me

中文介绍 帖子引用埃隆·马斯克对未来五年「超音速海啸」的描述，预示即将到来的技术（可能主要指 AI）将以极快的速度和巨大的规模席卷全球，颠覆现有认知。博主将深入探讨这种指数级变革的本质，提醒人们在变革来临前做好准备。

Loop Engineering: Build an AI That Codes While You Sleep

@phosphenq · 12.4K 粉丝 · 49.4K 阅 · 506 赞 · 63 转

06/21 06:59

Last December, Boris Cherny shipped 259 pull requests in a single month. Every one written by Claude. He says he did not open an editor the whole time. His job was not to write code. It was to write

中文介绍 帖子介绍了 Loop Engineering 技术，旨在构建能「睡后自动编程」的 AI。博主引用 Boris Cherny 案例，其在一个月内通过 Claude 提交 259 个拉取请求而未手动编写一行代码。核心在于设计能自动提示 AI 的 Loops，让 AI 代劳繁琐的编码工作。

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy

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06/24 08:00

While Video Virtual Try-on (VVT) has achieved remarkable progress in synthesizing realistic garment overlays on dynamic subjects, existing paradigms remains fundamentally constrained by a passive dependency on source camera trajectories, failing to accommodate the requisite interactive freedom for o

中文介绍 TryOnCrafter通过可渲染的4D试穿代理，解决了视频虚拟试穿（VVT）方法对源相机轨迹的被动依赖，从而实现了在动态主体上合成更真实的服装叠加效果。现有VVT范式因未能适应交互需求而受限，该研究旨在突破这一瓶颈。

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation

👍 26

06/24 08:00

Synthesizing a novel-view video from a monocular reference video along a target camera trajectory requires both geometric consistency and motion fidelity with respect to the reference video. Existing methods based on explicit 3D representations are limited by the accuracy of off-the-shelf reconstruc

中文介绍 MVTrack4Gen提出将多视角点跟踪作为几何监督，用于4D视频生成。该方法旨在通过单目参考视频沿目标相机轨迹合成新视角视频时，解决现有基于显式3D表示方法在几何一致性和运动保真度上的局限性，提升生成质量。

DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation

👍 55

06/24 08:00

Open domain subject-driven text-to-video (S2V) generation has drawn significant interest in academia and industry. Open domain S2V mainly involves two scenarios: in-domain, which requires retaining the reference subject features as much as possible, and cross-domain, which preserves the intrinsic fe

中文介绍 DomainShuttle提出一种用于自由开放域主题驱动的文本到视频（S2V）生成方法。该研究关注两种主要场景：域内生成，需尽可能保留参考主体特征；以及跨域生成，需维持特征。旨在推动开放域S2V技术发展。

The Tatoxa System for Text Detoxification in Low-Resource Languages: The Case of Tatar

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06/24 08:00

Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring the safety of online communities and protecting users. However, low resource languages such as Tatar have received little research attention. In this paper we present Tatoxa, a novel

中文介绍 Tatoxa系统专注于低资源语言的文本去毒，旨在自动检测并减轻有害内容，以保障在线社区安全。研究以鞑靼语（Tatar）为例，提出了解决这类语言去毒问题的具体方法，填补了该领域研究的空白。

Autodata: An agentic data scientist to create high quality synthetic data

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06/24 08:00

We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data. We show how to train (meta-optimize) such a data scientist agent, so that it learns to create even stronger data. We describe the overall formulation, and a s

中文介绍 论文介绍了Autodata，这是一种通用方法，使AI智能体能作为数据科学家生成高质量的合成训练和评估数据。研究展示了如何通过元优化训练此数据科学家智能体，使其能创建更强大、更有效的数据。

SpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models

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06/24 08:00

As multimodal conversational systems increasingly engage in spoken interaction, their ability to navigate paralinguistic social cues has become a critical bottleneck for natural human-AI communication. However, existing evaluations of machine emotional intelligence assess reasoning exclusively throu

中文介绍 SpeechEQ旨在评估多模态语音对话模型在社交情境下的情商（EQ），通过对言语外社会线索的理解和处理能力进行基准测试。与现有主要评估推理能力的方案不同，该研究聚焦于更自然的AI人机交互。

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning

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06/24 08:00

Demonstration augmentation is proposed for cost-efficient data acquisition, but existing methods are fundamentally limited in deformable manipulation due to two challenges: (1) the state space is high-dimensional with physics-induced constraints, making valid configurations impossible to reach via l

中文介绍 DeformGen提出基于动力学的拓扑增强方法，用于可变形物体操纵策略学习。该方法旨在解决现有数据增强方法在可变形操纵中的局限性，克服高维状态空间和物理约束带来的挑战，提升学习效率和效果。

ShutterMuse: Capture-Time Photography Guidance with MLLMs

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06/24 08:00

Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aesthetic cropping benchmarks mainly evaluate post-hoc crop prediction and overlook subject-side recommendations, leaving the capture-time guidance capabilities of multimodal large language m

中文介绍 ShutterMuse提出一种利用多模态大语言模型（MLLMs）在拍摄时提供摄影指导的方法，涵盖相机构图和主体姿态。与现有主要评估后期裁剪的基准不同，ShutterMuse侧重于实时指导能力，以优化实际拍摄效果。

OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning

👍 1

06/24 08:00

Reinforcement Learning (RL) has enabled LLMs to excel in objective reasoning tasks such as mathematics and code generation. However, applying RL to open-ended tasks, such as creative writing, remains challenging because LLM-as-a-judge reward models often exhibit stylistic biases and positional incon

中文介绍 OPERA提出通过基于目标困惑度的强化学习，来校准开放式推理能力。该方法旨在解决大型语言模型在创意写作等开放式任务中应用强化学习的挑战，克服LLM作为评判者的奖励模型可能存在的风格偏见。

Efficient Real-World Dehazing via Physics-Inspired Global-Local Decoupling

👍 0

06/24 08:00

Real-world single image dehazing is highly ill-posed due to spatially and spectrally varying scattering, while practical deployment demands lightweight and low-latency models. Existing approaches either rely on fragile physical inversion under simplified assumptions or adopt heavy blind architecture

中文介绍 该研究提出一种通过物理启发式全局-局部解耦实现高效真实世界单幅图像去雾的方法。针对实际部署中对轻量级和低延迟模型的需求，该方法旨在解决现有技术在处理空间和光谱变化的散射时所面临的难题。

Frequency-Aware Self-Supervised Music Representation Learning

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06/24 08:00

Self-supervised learning (SSL) has emerged as an essential paradigm for music information retrieval (MIR). While current SSL models achieve state-of-the-art performance across various MIR tasks, they typically treat audio as 1D sequences, either operating on time-domain waveforms or on flattened tim

中文介绍 论文提出一种频率感知的自监督音乐表示学习方法。现有自监督模型在音乐信息检索（MIR）任务中表现出色，但通常将音频视为一维序列，未充分利用频率信息，此方法旨在解决该局限性，提升模型性能。

SSMNBench: Diagnosing Image-based Cross-View Human-Object Understanding via Single-View Sufficiency and Multi-View Necessity

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06/24 08:00

Multimodal Large Language Models (MLLMs) have shown remarkable progress in single-image perception, yet their ability to reason about complex cross-view human-centric scenes remains largely unverified. Current multi-view benchmarks evaluate models using a fixed "bag of frames" and thus conflate a mo

中文介绍 SSMNBench基准测试旨在通过单视角充分性和多视角必要性，诊断多模态大语言模型（MLLMs）在图像交叉视角人-物理解方面的能力。该研究旨在验证MLLMs在复杂以人为中心的场景中的推理能力，超越现有固定「帧袋」评估的局限性。

One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications

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06/24 08:00

Different real-time speech applications impose distinct latency budgets, often requiring separately trained enhancement models for each scenario. In this paper, we propose a one-for-all, real-time universal speech enhancement model that provides explicit control over both algorithmic and computation

The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models

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06/24 08:00

Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four tokenization strategies, Affine, AIM, JetFormer, and VQ-VAE, within a unified transformer framework for astronomical imagi

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints

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06/24 08:00

Tool Calling and Structured Output are two core capabilities of modern Agent systems, yet their interaction under joint deployment conditions remains insufficiently understood. This paper reports a reproducible phenomenon observed in a production Agent system: when Tool Calling and JSON Schema const

VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks

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06/24 08:00

Recent advancements in Image-to-Video (I2V) generation have transformed input images from simple appearance references into interactive control interfaces where visual cues such as arrows, sketches, and emojis orchestrate complex video dynamics with unprecedented controllability. However, these seem

STEB: A Speech-to-Speech Translation Expressiveness Benchmark for Evaluating Beyond Translation Fidelity

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06/24 08:00

Speech-to-speech translation (S2ST) should preserve not only lexical meaning, but also expressive attributes: emotion, scenario style (e.g., news reporting vs. dramatic dialogue), and nonverbal vocalizations (NVs). Moreover, collecting cross-lingual target speech that is both translation-faithful an

Cliff Tokens: Identifying Single-Token Failure Triggers in LLM Mathematical Reasoning

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06/24 08:00

Large language models (LLMs) reach high accuracy in mathematical reasoning, but individual traces on the same problem diverge; some arrive at the correct answer while others fail. Prior work analyzes failure at the step, chunk, or sentence level, or at tokens where failure has already occurred. Neit

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

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06/24 08:00

Autoregressive video diffusion with causal diffusion transformers has emerged as a major paradigm for real-time streaming video generation and action-conditioned interactive world models. In this work, we extend rCM, an advanced diffusion distillation framework, to autoregressive video diffusion. Th

Fully Differentiable Neural Forced Alignment via Soft Dynamic Programming

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06/24 08:00

Recent advances in sequence modeling have significantly improved ASR systems, bringing them close to human-level recognition accuracy and enhancing robustness across diverse acoustic conditions and languages. In contrast, Forced Alignment has not experienced comparable progress, and traditional HMM-

Sarashina2.2-TTS: Tackling Kanji Polyphony in Japanese Speech Generation via Data Scaling and Targeted Data Synthesis

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06/24 08:00

While large language model (LLM)-based text-to-speech (TTS) systems have achieved high-quality speech synthesis, most existing systems focus on English and Chinese. Japanese, however, remains under-explored, and its unique linguistic challenges, such as widespread context-dependent kanji polyphony,

Improved Large Language Diffusion Models

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06/24 08:00

Modern large language models are predominantly trained with autoregressive factorization and causal attention. We present iLLaDA, an 8B masked diffusion language model trained from scratch with fully bidirectional attention. iLLaDA keeps the masked diffusion objective throughout pre-training and sup

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning

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06/24 08:00

Fine-grained visual reasoning requires multimodal large language models (MLLMs) to identify task-relevant visual evidence and ground their reasoning in local image regions. Existing agentic methods typically rely on reinforcement learning with verifiable rewards or supervised fine-tuning on large-sc

Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation

👍 1

06/24 08:00

Video generation models are increasingly capable of producing realistic videos, but they still struggle to generate videos that follow basic physical laws. Compounding this is a lack of reliable granular evaluation methods for localizing and specifying physical law violations in videos. We address t

FUTO Swipe: Layout-Agnostic Neural Swipe Decoding

👍 1

06/24 08:00

Neural swipe decoders are typically tied to the keyboard they were trained on, requiring a new corpus and training run for each layout. In this report, we document our approach toward training models that can function on any contiguous mobile keyboard layout. At each point along the swipe, our encod

Enhancing Pathological VLMs with Cross-scale Reasoning

👍 0

06/24 08:00

Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at low magnification to cellular morphology at higher magnification for accurate diagnosis. While existing pathological datasets for vision-language models (VLMs) include vari

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics

👍 3

06/23 08:00

Jailbreak attacks reveal a persistent weakness in aligned Large Language Models: carefully crafted prompts can elicit policy-violating responses despite safety training. While most defenses operate at the prompt or output level, it remains unclear how harmful intent is encoded within the model's int

ATMA: Length-Invariant Language Modeling via Polar Attention and Gated-Delta Compression Memory

👍 1

06/23 08:00

Modern large language models based on softmax scaled-dot-product attention are constrained by their training sequence length: as the key-value sequence grows, softmax probability mass can dilute across a wider distribution, inducing activation shift and long-context performance collapse. Moreover, l

No 3D Matrices: A Unified Tensor-Product View of Matrix-Free Cartesian PDE Solvers

👍 1

06/23 08:00

Every Cartesian three-dimensional PDE solver hides a structural secret that production CFD codes have used for half a century and that graduate-level textbooks rarely state plainly. The derivative matrices, the compact Padé line solves, the Galerkin mass inversions, the alternating-direction-implici

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models

👍 40

06/23 08:00

We present Wan-Streamer, a native-streaming, end-to-end interactive foundation model designed from the ground up for real-time, low-latency, full-duplex audio-visual interaction. Wan-Streamer seamlessly models language, audio, and video as both input and output within a single Transformer, where the

Figma Motion

06/25 13:23

Your Figma canvas now has a timeline

中文介绍 Figma推出新功能Figma Motion，在设计画布中引入时间轴，支持用户进行动画设计或时间序列相关操作，扩展了Figma的设计能力。

Blop

06/25 02:41

Describe your app and Blop tests it and repairs broken tests

中文介绍 Blop是一款AI驱动的测试工具，用户只需描述其应用程序，该工具即可自动进行测试并修复损坏的测试用例，旨在简化软件开发与维护流程。

Papermark Agents

06/24 22:35

Let AI agents run your next deal, fundraise or data room

中文介绍 Papermark Agents推出AI代理功能，旨在帮助用户自动化管理和执行商业交易、募资活动或数据室操作，从而优化复杂的商业流程。

Sidegent

06/24 22:34

Learn to build AI agents by actually building them

中文介绍 Sidegent提供实践学习平台，让用户通过亲手构建AI代理来掌握相关开发技能，强调“做中学”的实操方法，以提升AI代理的构建能力。

Zaro

06/24 21:54

Build agents & apps on top of your context with one prompt.

中文介绍 Zaro工具允许用户通过一个简洁的提示，基于自身特定上下文快速构建AI代理和应用程序，极大提升开发效率和便捷性。

Signspell

06/24 21:43

Real-time ASL alphabet recognition in py ,pip install and go

中文介绍 Signspell提供实时的美国手语（ASL）字母识别功能，通过Python实现，用户可使用`pip install`指令快速安装和部署，便于集成使用。

Grass 2.0

06/24 19:26

The always-on computer for your coding agents

中文介绍 Grass 2.0被定位为“永不关机的电脑”，专为编码代理设计，旨在为AI编码助手提供持续的运行环境和计算资源，提升开发效率。

Heron

06/24 17:01

Wireshark for AI Agents: passive eBPF observability

中文介绍 Heron被描述为“AI代理的Wireshark”，它利用被动eBPF技术提供对AI代理的强大可观测性，帮助开发者监控和调试AI系统。

SayCraft

06/24 15:58

Build a web app by talking through a meeting

中文介绍 SayCraft允许用户通过会议对话的方式来构建网络应用程序，将口头交流转化为可执行的开发指令，旨在简化和加速应用开发。

Polygraph

06/24 15:52

Let AI agents see cross repo and maintain session memory.

中文介绍 Polygraph使AI代理能够跨代码仓库进行感知，并保持会话记忆，从而提升AI代理在复杂开发环境中的理解和操作能力。

Poweful Agents inside Slack

06/25 06:39

中文介绍 视频展示了强大的AI智能体如何在Slack平台内工作，帮助用户处理和自动化各种任务。这些AI智能体能够理解上下文并执行复杂指令，显著提升团队协作效率。

AI Agents Just Changed Forever: GLM 5.2, Codex Skills, Claude & Cursor

06/21 21:30

中文介绍 视频指出AI智能体领域正发生永久性变革，并提及GLM 5.2、Codex Skills、Claude及Cursor等关键技术。这些进展预示着AI智能体将获得更强大的能力，有望深刻改变其应用方式与潜力。

9 AI Agent Skills To Get Ahead of 99% of People

06/18 10:27

How to build high quality internal tools with Retool

06/18 05:21

SpaceX Just Bought Cursor for $60B. It’s About to Take OVER.

06/17 05:31

Why the Government Just Killed Claude Fable 5

06/13 11:50

This is Why They Banned Claude Fable 5

06/13 02:28

Hermes Agent NEW Super-App and DeepSeek v4 Catches Up To Opus 4.8?

06/07 04:10

ChatGPT And Codex Are Merging (This Changes Everything)

06/04 06:17

Claude Opus 4.8: Everything You Need to Know

06/01 06:27

程序员适合培养哪些爱好？

06/25 22:50

22 回复 · 程序员 节点

今天重开了 Cursor Pro（新人半价 $10），竟然发现 GLM 5.2 可以免费蹬

06/25 21:22

8 回复 · 程序员 节点

 Apple 平板和电脑涨价

06/25 21:16

33 回复 · Apple 节点

K8s 发布失败后，大家第一眼先看哪？

06/25 18:25

15 回复 · 程序员 节点

请问下 neo 和 air m5 的购买建议

06/25 18:09

7 回复 · Apple 节点

我现在用 AI 干活太快 领导有些震惊 怎么办 你们是怎么装的

06/25 16:44

26 回复 · 程序员 节点

iPhone 屏幕防油渍防指纹涂层

06/25 00:11

9 回复 · Apple 节点

似乎 apple.com 买礼品卡加了 ip 检测

06/24 20:03

10 回复 · Apple 节点

macos27 的 siri ai 怎么可以不报 problem 啊？

06/24 14:37

15 回复 · Apple 节点

apple notes 已经支持一次性全部导出了

06/24 14:13

6 回复 · Apple 节点

The Garbage Collection Handbook: The Art of Automatic Memory Management (2nd Ed)

06/26 07:10

9 points · 1 comments

Military branches restore flu shot requirement after virus swept through base

06/26 06:16

53 points · 20 comments

The 'papers, please' era of the internet will decimate your privacy

06/26 05:44

263 points · 119 comments

Migrating from Proxmox to NixOS and Incus

06/26 05:22

33 points · 13 comments

Un-0: Generating Images with Coupled Oscillators

06/26 04:50

89 points · 17 comments

OpenAI Leans Toward Waiting Until Next Year for IPO

06/26 04:36

85 points · 57 comments

Om Malik has died

06/26 04:33

287 points · 29 comments

An oral history of Bank Python (2021)

06/26 04:14

55 points · 14 comments

Parallel Parentheses Matching

06/26 04:12

41 points · 7 comments

The Doorman's Fallacy in action

06/26 04:00

38 points · 58 comments

Besimple AI (YC P25) Is Hiring

06/26 01:00

1 points · 0 comments

Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion

06/26 00:04

Hi HN, Nick here. We’re launching OpenKnowledge (https://openknowledge.ai/), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and other agents. Available as MacOS app or Web UI+CLI. Fully free/local and OSS.We built this because we

An entire Herculaneum scroll has been read for the first time

06/25 23:48

Preprint: https://scrollprize.org/pdf/main.pdfhttps://github.com/ScrollPrize/villa

IBM debuts sub-1 nanometer chip technology

06/25 23:33

248 points · 144 comments

OS9Map

06/25 23:01

172 points · 25 comments

Zig's new bitCast semantics and LLVM back end improvements

06/25 22:19

207 points · 79 comments

Show HN: I made Google Trends for Hacker News by indexing 18 years of comments

06/25 22:08

637 points · 143 comments

Political bias in AI: Where the AI models stand

06/25 21:08

104 points · 214 comments

Apple raises prices of MacBooks, iPads

06/25 21:02

https://9to5mac.com/2026/06/25/apple-price-increases-mac-ipa...

You can't unit test for taste

06/24 16:54

238 points · 114 comments

GloriousEggroll's Proton has been rebased on Proton 11

06/24 16:04

48 points · 13 comments

RRB-Trees: Efficient Immutable Vectors (2012) [pdf]

06/24 10:56

31 points · 7 comments

Advanced Nintendo Entertainment System (ANES) – NES Modded to Use 2 PPUs

06/24 07:21

92 points · 31 comments

A game where you're an OS and have to manage processes, memory and I/O events

06/23 17:35

59 points · 15 comments

The annotated PyTorch training loop

06/23 07:44

53 points · 9 comments

Oxide computer 3D rack guided tour

06/22 23:21

271 points · 112 comments

Tw-fade: pure CSS scroll-driven edge masking

06/22 23:12

83 points · 30 comments

The last Romans are still around

06/22 23:00

30 points · 54 comments

The disappearance of Japan's animators

06/22 00:51

https://archive.ph/aPMAr

Show HN: Chess-Inspired Roguelike

06/21 14:50

194 points · 67 comments