2026-06-26（内容获取于 06/26 18:57）

[AINews] OpenAI reports median internal Codex output tokens grew 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal since November 2025.

Latent Space · 06/26 09:12

It's happening.

中文介绍 OpenAI报告称，自2025年11月以来，其内部Codex输出token在不同部门显著增长：研发部门增长56倍，客户支持部门增长32倍，工程部门增长27倍，法律部门增长13倍，表明AI工具在企业内部应用的巨大效率提升。

Run a vLLM Server on HF Jobs in One Command

Hugging Face Blog · 06/26 08:00

中文介绍 Hugging Face宣布，用户现在可以通过一条命令在Hugging Face Jobs上运行vLLM服务器。此举旨在简化vLLM模型的部署和管理，提升AI开发者在云端利用该服务的便捷性。

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

TechCrunch · 06/26 07:34

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

中文介绍 白宫要求OpenAI推迟发布其新模型GPT 5.6，理由是出于安全考虑。据报道，在特朗普政府的要求下，OpenAI计划仅与少数选定合作伙伴分享此模型，而非向公众广泛发布。

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推出一项更新，允许用户将播放速度提高一倍。此功能旨在让短视频内容观看体验更高效，进一步缩短观看时长，以满足用户对快速消费内容的需求。

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 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智能体进行压力测试。该公司由前Meta AI研究员创立，其投资者表示市场对其AI智能体测试解决方案需求旺盛。

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 预测市场平台Polymarket表示，因第三方漏洞导致黑客窃取了用户资金。公司承诺将对受影响的用户进行全额退款，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。Xbox表示，内存和主机存储价格上涨是主要原因，成本已比之前水平高出2.5倍以上。

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宣布关闭其邮件收件箱服务，转而专注于AI智能体产品。公司表示，此举是由于用户越来越倾向于将邮件处理权交给AI智能体，市场需求正向AI驱动的解决方案转移。

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来提供备用服务，从而绕过了PJM的互联队列问题。

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，Anthropic公司的Claude模型正逐渐赢得付费用户青睐，开始抢占原由ChatGPT主导的市场份额。尽管ChatGPT占据市场领先地位，但付费AI消费者对Claude的选择日益增多。

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，旨在通过数百万小时的游戏数据训练AI，押注行动数据能帮助AI智能体在现实世界中发展出更接近人类的直觉。总投资达23亿美元。

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负责人认为，其公司技术能将AI的电力消耗降低1000倍。Un-0作为一个图像生成系统工具，首次展示了该技术如何复制传统AI系统，有望大幅削减AI运营成本。

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表示，窃取客户数据的黑客组织正在删除数据，但同时警告有另一伙黑客索要赎金并发出威胁。Klue正面临双重网络安全挑战。

Which tokens does a hybrid model predict better?

Hugging Face Blog · 06/26 00:11

中文介绍 Hugging Face上的一篇博客探讨了混合模型在预测不同类型token时的表现。文章分析了混合模型相比单一模型，在哪些特定token上展现出更优的预测能力，为模型优化提供参考。

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公司计划成为企业完整的“数据栈”提供商。其首席执行官Parker Conrad指出，有员工每年花费高达3万美元使用AI工具（如Claude）分析日历和邮件，Rippling旨在帮助企业评估并优化AI支出。

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公司Claude Code项目发布v2.1.193版本更新。新版本增加了autoMode.classifyAllShell设置，可将所有Bash/PowerShell命令路由至自动模式分类器，并改进了自动模式拒绝原因的显示。

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公司Claude Code项目发布v2.1.191版本更新。此次更新新增了「/rewind」功能以恢复清空前的对话，并修复了流式响应中阅读早期输出时滚动位置跳动以及后台代理在停止后重新启动的问题。

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 · ★ 20,333 · 🍴 1,685 · 📈 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 Google Labs Code 推出的一种格式规范，旨在帮助 AI 编码智能体理解视觉识别和设计系统。通过提供持久且结构化的设计系统描述，它解决了传统设计与代码生成之间沟通的鸿沟，使智能体能更准确地遵循设计指南，提升自动化前端开发和设计实现效率。适用于需要 AI 辅助设计系统落地的开发者和团队。

calesthio/OpenMontage

Python · ★ 22,938 · 🍴 2,553 · 📈 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 是全球首个开源的智能体驱动视频制作系统，它整合了12条生产管线、52种工具和超过500项智能体技能。该项目旨在将 AI 编码助手转化为一个全面的视频制作工作室，实现视频内容的自动化生成与编辑。适用于开发者、内容创作者以及需要高效、批量生产视频的媒体公司，极大提升视频制作效率。

xbtlin/ai-berkshire

Python · ★ 2,745 · 🍴 394 · 📈 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。它融合了巴菲特、芒格、段永平、李录四位投资大师的方法论，并通过多智能体并行研究，旨在为用户提供深入的市场分析和投资决策支持。此项目通过 AI 自动化复杂的价值投资分析流程，适用于寻求智能投资辅助工具的个人投资者、量化研究员及金融机构。

mauriceboe/TREK

TypeScript · ★ 7,181 · 🍴 633 · 📈 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 是一个自托管的旅行计划工具，提供实时协作、交互式地图、PWA 支持、SSO 登录、预算管理和打包清单等丰富功能。它旨在帮助用户高效规划旅行，并能与同行者实时共享和编辑行程。通过自托管，用户能完全控制数据隐私，适用于重视数据主权、喜爱定制化且需要协同规划旅行的个人及小团体。

apple/container

Swift · ★ 43,486 · 🍴 1,276 · 📈 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 的这款工具专为 Mac 用户设计，用于通过轻量级虚拟机创建和运行 Linux 容器。它使用 Swift 语言编写，并针对 Apple silicon 进行了优化，提供了在 macOS 环境下高效管理和部署 Linux 容器化应用的能力。此项目解决了 Apple 芯片用户运行 Linux 容器的性能和兼容性问题，是 macOS 开发者进行跨平台开发和测试的理想选择。

JCodesMore/ai-website-cloner-template

TypeScript · ★ 20,954 · 🍴 3,057 · 📈 1,024 stars today

Clone any website with one command using AI coding agents

中文介绍 这个项目是一个 AI 驱动的网站克隆模板，使用户能够通过一条命令，利用 AI 编码智能体快速克隆任何网站。它旨在简化网站复制过程，自动化前端代码和内容的抓取与重构。适用于需要快速搭建原型、进行 A/B 测试、备份网站内容或学习他人网站结构的前端开发者、UI/UX 设计师及市场营销人员。

every-app/open-seo

TypeScript · ★ 2,884 · 🍴 328 · 📈 57 stars today

Open source alternative to Semrush and Ahrefs

中文介绍 Open SEO 旨在成为 Semrush 和 Ahrefs 等商业 SEO 工具的开源替代品。它提供了一套免费且透明的解决方案，用于网站的搜索引擎优化分析，包括关键词研究、排名追踪、竞争对手分析等。此项目为预算有限的个人、中小型企业和开发者提供了专业的 SEO 功能，有助于提升网站流量和搜索引擎可见度，打破专有工具的垄断。

garrytan/gstack

TypeScript · ★ 116,212 · 🍴 17,214 · 📈 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 精心配置的 Claude Code 环境，内含23个定制化工具，模拟 CEO、设计师、工程经理、发布经理、文档工程师及 QA 等多种角色。它旨在通过一套“有主见”的 AI 智能体，自动化并优化产品开发流程中的各项任务。此项目适用于希望利用 AI 智能体构建虚拟团队、提高工作效率的创业者、开发者和产品负责人。

aws/agent-toolkit-for-aws

Python · ★ 1,233 · 🍴 115 · 📈 47 stars today

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

中文介绍 AWS 官方推出的 AI 智能体工具包，提供 AWS 支持的 MCP 服务器、技能和插件，旨在帮助 AI 智能体更好地在 AWS 云平台上进行构建和操作。它简化了智能体与 AWS 服务集成的复杂性，加速了 AI 应用的开发与部署。此工具包适用于希望在 AWS 基础设施上开发、部署和管理 AI 智能体的开发者、企业和研究团队，实现云原生智能体解决方案。

mukul975/Anthropic-Cybersecurity-Skills

Python · ★ 21,588 · 🍴 2,479 · 📈 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 该项目为 AI 智能体提供了817项结构化的网络安全技能，并将其映射到 MITRE ATT&CK、NIST CSF 2.0 等六大主流安全框架。它旨在标准化 AI 智能体的安全能力，使它们能更有效地识别、分析和响应网络威胁。遵循 agentskills.io 标准，适用于希望提升 AI 智能体在网络安全领域专业能力的研究人员、开发者及安全运营团队。

alibaba/page-agent

TypeScript · ★ 20,147 · 🍴 1,731 · 📈 163 stars today

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

中文介绍 Alibaba 的 Page-Agent 是一个基于 JavaScript 的页面内 GUI 智能体，使用户能通过自然语言控制 Web 界面。它解决了传统交互模式的局限性，实现了语音或文本指令对网页元素的精准操作。此工具可用于自动化网页任务、提升用户体验及增强无障碍访问，适用于前端开发者、UI/UX 设计师以及需要通过自然语言与网页交互的终端用户或智能体开发。

IceWhaleTech/CasaOS

Go · ★ 35,062 · 🍴 2,005 · 📈 223 stars today

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

中文介绍 CasaOS 是一款简洁、易用且优雅的开源个人云系统。它旨在为用户提供一个无需专业知识即可部署和管理的家庭服务器解决方案，用于存储文件、管理媒体、运行应用程序等。此项目让个人能完全掌控自己的数据，摆脱对商业云服务的依赖。适用于希望构建私有云存储、家庭媒体中心或运行各种服务（如 Docker 应用）的普通用户和技术爱好者。

opendatalab/MinerU

Python · ★ 70,019 · 🍴 5,914 · 📈 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 能够将 PDF、Office 文档等复杂格式的文件转换为 LLM 友好的 Markdown 或 JSON 格式，专为智能体工作流设计。它解决了将非结构化文档内容高效导入大型语言模型进行处理的挑战，确保数据以结构化形式被智能体准确理解和利用。此工具适用于 AI 开发者、数据工程师以及需要从多样化文档中提取信息以驱动 LLM 和智能体应用的团队。

Free-TV/IPTV

Python · ★ 18,377 · 🍴 2,690 · 📈 139 stars today

M3U Playlist for free TV channels

中文介绍 这个项目提供了一个包含免费电视频道的 M3U 播放列表。它汇集了全球可公开访问的电视流媒体资源，用户只需将其导入兼容 IPTV 播放器，即可便捷观看各类免费电视节目。此列表旨在为用户提供一个简单、集中的方式来发现和享受免费的电视内容，适用于希望通过互联网观看免费直播电视的个人用户。

shanraisshan/claude-code-best-practice

HTML · ★ 61,017 · 🍴 6,094 · 📈 287 stars today

from vibe coding to agentic engineering - practice makes claude perfect

中文介绍 该项目分享了 Claude Code 的最佳实践，旨在指导用户从简单的“vibe coding”过渡到更系统化的“智能体工程”。它提供了如何高效利用 Claude Code 构建稳定、可扩展 AI 智能体系统的经验和方法论。此资源解决了在 AI 开发中遇到的提示工程挑战，适用于使用 Claude 等大型语言模型构建智能体应用、寻求提升开发效率和质量的开发者与工程师。

NanmiCoder/MediaCrawler

Python · ★ 53,190 · 🍴 10,956 · 📈 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 是一个多功能的媒体内容爬虫，支持抓取小红书笔记及评论、抖音/快手/B站视频及评论、微博帖子及评论、百度贴吧帖子及回复、知乎问答文章及评论。它旨在帮助用户高效地从中国主流社交媒体平台获取数据，用于市场分析、舆情监控或学术研究。适用于需要进行社媒数据采集和分析的数据科学家、市场研究人员及开发者。

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 博主指出多数人仍在手动与AI交互，效率低下。他将解释「循环（loops）」这种更快的AI工作方式，并比较Claude、GPT和Mira等模型在该方法中的实际应用效果，旨在提升AI使用效率。

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 博主发布完整指南，教授如何利用Claude和Obsidian构建一个「AI第二大脑」。该系统能整合用户分散的笔记、想法和旧对话，并随时间推移不断学习和自我优化，帮助用户高效管理知识并激发新创意。

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 40 个基于 Claude Opus 4.8 的工作流，旨在帮助用户构建自动化业务，实现「睡后收入」。不同于仅用其回答问题，这些工作流强调利用模型运行业务的能力，而非模型本身的区别。

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 博主探讨AI硬件领域的热点，重点比较了细胞与GPU在运行相同算法时的效率差距。文章背景是超大规模AI数据中心投入在2026年将达6900亿美元，突显了对高效AI硬件解决方案的强烈需求。

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 博主分享利用 Claude 将学习效率提高十倍的方法。他指出当前多数人使用AI学习时仅随机提问和获取答案，效果不佳。文中旨在提供结构化的策略，帮助用户更系统、高效地利用Claude进行知识学习。

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 EngramLab 推出全新AI产品 Engram，旨在通过学习用户的工作内容来深度理解其需求。他们指出，当前AI模型仅依赖训练数据，无法真正理解用户工作，Engram则致力于解决这一痛点，实现基于用户上下文的计算扩展。

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 博主为开发者总结了「30 个核心 Agentic 工程概念」，强调理解AI智能体实际工作原理，而非停留在演示和炒作层面。他指出，目前只有少数开发者真正掌握智能体背后的工程技术，本帖旨在深入剖析这些关键概念。

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 ORACLE 发布其官方 AI 智能体，专门用于 Polymarket 上的交易。博主指出，到 2026 年，自主 AI 智能体已成为预测市场上最有效的策略之一，超过 30% 的 Polymarket 活动由算法和 AI 驱动的钱包贡献。

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 博主解释了为何看好 AI 领域的「循环（loops）」概念。他援引 OpenClaw 和 Claude Code 创始人 Peter Steinberger 与 Boris Cherny 的观点，指出「循环」是提升 AI 效率和实现更高级功能的重要范式。

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 ORACLE 发布其官方 AI 智能体，专门用于 Polymarket 上的交易。博主指出，到 2026 年，自主 AI 智能体已成为预测市场上最有效的策略之一，超过 30% 的 Polymarket 活动由算法和 AI 驱动的钱包贡献。

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（GA），成为与 Gemini 模型和智能体交互的主要接口。该 API 于去年 12 月推出公开测试版，此次 GA 标志着其稳定性和广泛可用性。

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 ORACLE 发布其官方 AI 智能体，专门用于 Polymarket 上的交易。博主指出，到 2026 年，自主 AI 智能体已成为预测市场上最有效的策略之一，超过 30% 的 Polymarket 活动由算法和 AI 驱动的钱包贡献。

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（一名后端开发者）详细介绍了如何利用「循环工程（Loop Engineering）」来构建一个可自我改进的量化交易系统。他承诺将深入剖析其核心的循环机制，帮助读者理解并实践自动化交易。

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 本文是关于「循环（Loop）」系列的第二部分，在前作（360万观看）解释循环概念后，博主将揭示人们实际运行的「15 个循环」案例，并附带可供直接使用的命令。旨在帮助读者掌握真实世界的循环应用。

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 博主讨论了 AI 编程领域从直接「提示智能体」转向「循环工程」的趋势。他指出，业界正流传一种观点，即应设计循环来自动为编码智能体生成提示，而非手动干预，这代表了一种新的开发范式。

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 Designarena 宣布 GLM 5.2 在其单轮、HTML 网页设计（非智能体）评估中取得总分第一，超越前代 GLM-5.1 五个名次，并击败了 Claude Fable 5、Opus 4.6 等领先模型，展示了其在网站设计方面的卓越能力。

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 博主探讨了一项关于 Subnet 和 TAO 的升级，提出「Subnets 挖矿 TAO，TAO 挖矿 Subnets」的概念。文中包含一个数学公式，并明确指出此升级仅影响 Subnet 所有者和动态 TAO 的运作机制。

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 博主分享了如何构建「GLM-5.2 全球最快 API」的经验。他指出，GLM-5.2 是继 DeepSeek-R1 之后开放模型领域的重大进展，其性能媲美 GPT 5.5 和 Opus 4.8，而成本通常可降低 70-80%。

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 Peter Diamandis 引用埃隆·马斯克对未来五年的「超音速海啸」描述，强调变革将迅速而巨大，当人们意识到时，浪潮已然袭来。博主将进一步阐述他对这一未来景象的理解和看法。

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 博主探讨了「循环工程（Loop Engineering）」如何在睡眠时让AI自动编写代码。他援引 Boris Cherny 的案例：Boris 上月通过设计循环，让 Claude 提交了 259 个 pull request，期间自己未曾动手编码。

DanceOPD: On-Policy Generative Field Distillation

👍 45

06/25 08:00

Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict. For instance, editing tends to degrade T2I performance, while global and lo

中文介绍 DanceOPD是一种新的图像生成方法，通过策略生成场蒸馏，旨在解决当前模型中文本到图像（T2I）和编辑能力之间的冲突。传统方法常在统一这些能力时，导致编辑性能降低T2I质量。DanceOPD致力于实现这些功能的自然对齐。

Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards

👍 0

06/25 08:00

Most unified large multimodal models (LMMs) that support both visual understanding and image generation still rely on curated post-training supervision, such as human annotations, preference labels, or external reward models. We ask whether a unified LMM can improve both abilities autonomously using

中文介绍 大多数统一多模态大模型（LMMs）依赖人工监督。本研究提出“Ask, Solve, Generate”框架，利用自洽奖励机制，使LMMs能自我进化，同时提升视觉理解和图像生成能力，减少对外部标注的依赖。

PhysiFormer: Learning to Simulate Mechanics in World Space

👍 1

06/25 08:00

We present PhysiFormer, a diffusion transformer for physically-plausible 3D object motion. Unlike video world models that operate in view-dependent pixel space, PhysiFormer represents objects as 3D meshes expressed in world coordinates. Given the initial vertex positions and velocities, as well as o

中文介绍 PhysiFormer是一种基于扩散Transformer的模型，用于模拟物理上合理的3D物体运动。与像素空间操作的视频世界模型不同，PhysiFormer将物体表示为世界坐标系的3D网格，从而更准确地捕捉物理机制，实现逼真的运动模拟。

Autoregressive Boltzmann Generators

👍 0

06/25 08:00

Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the development of Boltzmann Generators (BGs), which allow rapid generation of uncorrelated equilibrium samples by combining a generative model with exact li

中文介绍 统计物理学中，在热力学平衡下对分子系统进行高效采样是一大挑战。玻尔兹曼生成器（BGs）通过结合生成模型实现快速采样。本研究引入自回归玻尔兹曼生成器，旨在进一步提升分子系统采样的效率和准确性。

SAM2Matting: Generalized Image and Video Matting

👍 0

06/25 08:00

Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-level tracking, which requires frame-wise understanding, and low-level matting, which focuses on extremely fine-grained details. Existing methods attempt this with expensive and narro

中文介绍 图像抠图虽有进展，但视频抠图因高层跟踪与低层细节处理的鸿沟仍具挑战。本研究提出SAM2Matting模型，旨在弥合这一差距，实现广义的图像和视频抠图，从而更精细地处理视频帧间的复杂细节和连贯性。

Hallucination in World Models is Predictable and Preventable

👍 0

06/25 08:00

Modern generative world models render increasingly realistic action-controllable futures, yet they frequently hallucinate: rollouts remain visually fluent while drifting from the ground-truth dynamics. We hypothesize that hallucination concentrates in low-coverage regions of the state-action space,

中文介绍 现代生成式世界模型能渲染逼真的可控未来，但常出现幻觉，即视觉流畅却偏离真实动力学。研究假设幻觉集中于低覆盖率区域，并提出幻觉是可预测和可预防的，对提升世界模型可靠性有重要意义。

OctoSense: Self-Supervised Learning for Multimodal Robot Perception

👍 0

06/25 08:00

We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camera, an inertial measurement unit, RTK-corrected global positioning system, and proprioception (CAN bus data from a car, and joint angles for a quadruped robot). The eponymous OctoSense datase

中文介绍 OctoSense是一个开源多模态机器人感知平台，集成了双目RGB和事件相机、激光雷达、热像仪、IMU、RTK-GPS及本体感受等多种传感器。该平台旨在通过自监督学习提升机器人的多模态感知能力，实现更全面的环境理解。

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution

👍 34

06/25 08:00

A unified representation for text and vision is a natural pursuit, as it enables simpler multimodal modeling and more efficient training. However, representing images as discrete signals in the same way as text inevitably introduces severe information loss. Existing work struggles to balance low-lev

中文介绍 统一文本和视觉表示能简化多模态建模，但将图像离散化会引入严重信息损失。ViQ提出一种新方法，能在任意分辨率下生成与文本对齐的视觉量化表示，有效解决现有方法的信息损失问题，提升多模态模型的训练效率。

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models

👍 0

06/25 08:00

Multi-model LLM systems such as routing, voting, cascades, fusion, and mixture-of-agents are used to beat single-model accuracy. We show that their gain is capped by a quantity the field rarely reports. For any policy whose output is one member model answer, accuracy cannot exceed one minus beta, wh

中文介绍 路由、投票和多代理混合等LLM系统常用于提升精度。本研究分析了67个前沿模型，发现这些系统的精度增益受“共同失败上限”限制，即当输出为某个成员模型答案时，精度无法超过特定值，揭示了模型结合效果的边界。

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring

👍 0

06/25 08:00

LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependencies, that define how software actually works. This makes agent navigation stochastic and difficult to reproduce across ru

中文介绍 基于LLM的代码代理通过关键词搜索浏览代码库时，常忽略调用图、继承关系等关键静态结构，导致导航随机且难预测。本研究探讨了代码代理执行任务所需静态结构信息量，旨在通过“确定性锚定”提高导航效率。

To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair

👍 1

06/25 08:00

LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing tests to evaluate and refine patches. This execution-based approach has become standard practice in state-of-the-art systems. However, executions can be time-consuming and expensive,

中文介绍 基于LLM的程序修复代理采用“生成-运行-修订”范式，迭代执行测试来评估补丁。尽管该方法已是先进系统标准，但代码执行可能非常耗时。本研究分析了在LLM程序修复中执行代码的成本效益，探讨其效率与必要性。

PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation

👍 0

06/25 08:00

Developing physically aware video generation models remains a significant challenge due to the difficulty in capturing diverse physical phenomena, such as thermal dynamics, mechanics, and optics. In this work, we introduce PhysRAG, a novel pipeline that enhances physical awareness in video generatio

中文介绍 开发具备物理意识的视频生成模型因难以捕捉多样物理现象而极具挑战。本研究提出PhysRAG，一个新颖的管道，通过检索增强生成（RAG）技术，显著提升视频生成模型对物理世界的理解和模拟能力，使其生成内容更符合物理规律。

Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation

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06/25 08:00

While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap: the mismatch between the user context and the sufficient generation

Confidence-Aware Tool Orchestration for Robust Video Understanding

👍 5

06/25 08:00

Video reasoning language models implicitly assume that every input frame is equally reliable. This leads to what we term the Blind Trust Problem: under realistic perturbations such as motion blur, glare, or occlusion, frontier video reasoning models can suffer 15-30%p accuracy drops on real-world em

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models

👍 0

06/25 08:00

Synthetic data is increasingly used to enable the development and evaluation of AI systems in domains where access to real-world data is restricted. In healthcare, clinical documentation presents particular challenges due to its sensitivity. This work introduces a synthetic clinical notes pipeline a

AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

👍 0

06/25 08:00

Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition remains blocked by a structural execution bottleneck: the idea-to-launch cycle still depends on human engineers to generate hypotheses, modify production

KARLA: Knowledge-base Augmented Retrieval for Language Models

👍 0

06/25 08:00

We propose a new method that allows an LLM to automatically pull in factual knowledge from a knowledge base during token generation. This means that (1)~factual knowledge in the LLM output can be updated without retraining the LLM, (2)~facts in the LLM output can be traced to the knowledge base for

OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

👍 26

06/25 08:00

Outcome-based reinforcement learning provides a stable optimization backbone for language agents, but its sparse trajectory-level rewards provide little guidance on which intermediate decisions should be reinforced or suppressed. On-policy self-distillation offers dense token-level supervision, yet

DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues

👍 0

06/25 08:00

Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated impressive fine-grained perception capabilities. However, existing benchmarks predominantly rely on explicit textual cues or low-resolution inputs, failing to evaluate a model's ability to autonomously perceive implici

PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing

👍 0

06/25 08:00

While instruction-based image editing, enabled by multi-modal generative models, has advanced significantly, existing benchmarks lack a comprehensive evaluation of physics-based reasoning, a critical capability for handling real-world scenarios. To address this, we introduce PhyEditBench, a benchmar

Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context

👍 0

06/25 08:00

Diffusion language models offer a promising alternative to autoregressive models due to their potential for parallel and iterative generation. However, existing approaches use a single network for both context representation and iterative denoising, forcing one model to serve both roles and limiting

In-Context World Modeling for Robotic Control

👍 3

06/25 08:00

Modern Vision-Language-Action (VLA) models often fail to generalize to novel setups, such as altered camera viewpoints or robot morphologies, because they are typically conditioned only on current observations and language instructions. By ignoring the underlying system configuration as a variable,

JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting

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06/25 08:00

Speculative decoding (SD) accelerates autoregressive Large Language Models (LLMs) by drafting multiple tokens and verifying them in parallel, but it faces a scaling limitation: increasing the draft budget improves speed only when acceptance remains high and drafting overhead stays low. This ceiling

AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification

👍 0

06/24 08:00

To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applications. Many of these applications involve natural language classification, but deploying multiple specialized models creates a memory footprint chall

Listening Like a Judge: A Music-Aware Framework for Automatic Singing Performance Evaluation

👍 0

06/24 08:00

Automatic singing quality assessment (SQA) requires evaluating lyrical correctness and musical fidelity while handling expressive variations. However, existing systems largely rely on either acoustic cues or lyric transcriptions exclusively, limiting holistic performance evaluation. Furthermore, the

The Verification Horizon: No Silver Bullet for Coding Agent Rewards

👍 18

06/24 08:00

A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this intuition is being inverted: as foundation models develop stronger reasoning capabilities and engineering harnesses grow more sophisticated, generating complex candidate solutions is n

COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami

👍 0

06/24 08:00

While generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physical art that satisfies both strict geometric constraints and subjective visual aesthetics remains a challenge. This paper presents an approach to tackle these difficulties in the domain

Fast LeWorldModel

👍 2

06/24 08:00

Joint-Embedding Predictive Architectures (JEPAs), including recent LeWorldModel (LeWM), have become a promising foundation for reconstruction-free visual world models. For visual planning, however, LeWM evaluates candidate action sequences by repeatedly applying a local one-step latent transition mo

OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation

👍 0

06/24 08:00

Learning long-horizon humanoid loco-manipulation poses a dual challenge: it requires not only the robust execution of meta-skills but also their seamless, closed-loop chaining equipped with autonomous recovery. Existing approaches remain limited: explicit humanoid-object interaction representations

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

👍 6

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

Aurora Notch

06/26 13:37

A private notch workspace for every Mac

中文介绍 Aurora Notch是一款专为Mac用户设计的应用程序，旨在利用Mac电脑屏幕的刘海区域创建一个私密工作空间。它能帮助用户在不受干扰的环境下提升专注度和工作效率，并有效保护个人信息和隐私。

Basedash for Excel

06/26 12:15

Turn any Excel file into a live dashboard

中文介绍 Basedash for Excel工具允许用户将任意Excel文件转换为实时更新的动态仪表盘。通过可视化数据，它帮助用户更高效地监控关键指标、分析业务表现，从而辅助制定数据驱动的决策。

Group Subscriptions by beehiiv

06/26 09:59

Sell subscriptions to teams, companies, and organizations.

中文介绍 beehiiv平台推出了群组订阅服务，内容创作者和发行者现在能够向团队、公司及各类组织销售批量订阅。这项功能旨在简化企业级客户管理流程，并拓宽内容变现渠道。

Cewsco

06/26 04:33

All-in-one AI assistant — chat, images, voice & market data

中文介绍 Cewsco是一款全面整合的人工智能助手，集成了聊天、图像生成、语音交互和市场数据分析等多项功能。它旨在提供一站式AI服务，满足用户在信息获取、内容创作和商业洞察方面的多样化需求。

LockIn MCP

06/25 17:35

Let AI block distractions for you when you need to lock in

中文介绍 LockIn MCP是一款利用人工智能技术的应用程序，旨在帮助用户在需要高度专注时自动屏蔽干扰。通过智能识别并消除分心因素，该工具旨在显著提升用户的工作效率和专注力。

Sleek Analytics

06/25 13:52

See who's on your site. Right now.

中文介绍 Sleek Analytics是一款实时网站分析工具，能够即时显示当前访问网站的用户信息和行为。它旨在帮助网站所有者和营销人员快速洞察访客动态，从而优化用户体验和提升营销效果。

Gemini Spark

06/25 13:47

Your 24/7 personal AI agent

中文介绍 Gemini Spark是一款全天候的个人AI代理，旨在为用户提供24小时不间断的智能服务。它能够处理各种日常任务、提供信息查询和个性化协助，成为用户的专属智能伙伴。

AI Slide Editor by CubeOne

06/25 07:07

The editor PowerPoint should've shipped

中文介绍 AI Slide Editor by CubeOne是一款由CubeOne推出的AI幻灯片编辑器。它旨在提供比传统PowerPoint更智能、更高效的创作体验，利用人工智能技术简化设计过程，帮助用户快速生成专业演示文稿。

Blop

06/25 02:41

Describe your app and Blop tests it and repairs broken tests

中文介绍 Blop是一款基于AI的应用程序测试工具，用户只需描述其应用功能，Blop便能自动进行测试并修复损坏的测试用例。它旨在简化软件测试流程，提高开发效率和产品质量。

Heron

06/24 17:01

Wireshark for AI Agents: passive eBPF observability

中文介绍 Heron是一款专为AI代理设计的可观测性工具，通过被动eBPF技术提供类似Wireshark的网络分析能力。它旨在帮助开发者深入了解AI代理的运行状态和行为，从而提升诊断和优化能力。

Poweful Agents inside Slack

06/25 06:39

中文介绍 Riley Brown的YouTube视频展示了在Slack通信平台中部署强大AI代理的能力。这些AI代理能够在Slack环境中执行多样化的任务，有望提升团队协作效率和实现更高级别的自动化，为用户提供智能辅助。

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

06/21 21:30

中文介绍 Riley Brown的视频探讨了AI代理领域正在经历的变革，重点提及了GLM 5.2、Codex Skills、Claude及Cursor等关键技术进展。这些进步预示着AI代理在功能、交互和应用方面将迎来重大飞跃，重塑其未来发展格局。

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

apple 涨价，心态炸了，紧急补仓！

06/26 16:07

31 回复 · Apple 节点

GLM 5.2 模型，有哪些优惠的订阅渠道？

06/26 15:54

15 回复 · 程序员 节点

gpt 写前端页面很丑怎么办？

06/26 15:28

24 回复 · 程序员 节点

iPhone16pro 有必要换 iPhone17pro 吗？

06/26 14:50

13 回复 · Apple 节点

MacBook 键盘泼上了咖啡，有没有抢救的方法

06/26 13:08

5 回复 · Apple 节点

使用 kkRepo 搭建 Python PyPI 私服

06/26 11:10

8 回复 · Python 节点

apple 全系涨价!

06/26 10:41

20 回复 · Apple 节点

Mac mini M4 也涨价了， 丐版的 16+256 的现在官网上 5999，我记得之前是 4499 吧，电商的 pdd 和狗东都搜不到这个产品了

06/26 10:05

28 回复 · Apple 节点

iOS 中的“团结”这个是啥？是中毒了么？

06/25 22:08

5 回复 · Apple 节点

 Apple 平板和电脑涨价

06/25 21:16

70 回复 · Apple 节点

We All Depend on Open Source. We Will Defend It Together

06/26 13:40

157 points · 72 comments

Libre Barcode Project

06/26 11:12

163 points · 25 comments

What happened after 2k people tried to hack my AI assistant

06/26 10:29

177 points · 64 comments

Framework's 10G Ethernet module exposes USB-C's complexity

06/26 09:10

181 points · 94 comments

The Garbage Collection Handbook: The Art of Automatic Memory Management (2nd Ed) (2023)

06/26 07:10

149 points · 23 comments

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

06/26 05:44

734 points · 348 comments

Un-0: Generating Images with Coupled Oscillators

06/26 04:50

154 points · 36 comments

Om Malik has died

06/26 04:33

https://runtimewire.com/article/om-malik-taught-silicon-vall...

An oral history of Bank Python (2021)

06/26 04:14

122 points · 39 comments

Parallel Parentheses Matching

06/26 04:12

93 points · 11 comments

The Doorman's Fallacy in action

06/26 04:00

123 points · 174 comments

Apple to skip high-end M6 Mac chips in favor of AI-focused M7 line

06/26 01:38

Giftlink: https://www.bloomberg.com/news/articles/2026-06-25/apple-to-...also https://www.msn.com/en-ca/lifestyle/shopping/apple-to-skip-h...

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

324 points · 175 comments

OS9Map

06/25 23:01

233 points · 45 comments

Zig's new bitCast semantics and LLVM back end improvements

06/25 22:19

242 points · 124 comments

Apple raises prices of MacBooks, iPads

06/25 21:02

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

Hey Nico, you didn't vibe code your data room but stole it from Papermark

06/25 20:23

https://xcancel.com/mfts0/status/2070080422482977095

You can't unit test for taste

06/24 16:54

276 points · 127 comments

My Steam Machine Is a 50ft HDMI Cable

06/24 01:45

46 points · 40 comments

Record type inference for dummies

06/23 21:04

46 points · 1 comments

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

06/23 17:35

217 points · 42 comments

Oxide computer 3D rack guided tour

06/22 23:21

374 points · 149 comments

The last Romans are still around

06/22 23:00

97 points · 128 comments

Doing a masters while working in Spain

06/22 15:44

50 points · 33 comments

Microbubbles in Medicine

06/22 09:59

7 points · 0 comments

The disappearance of Japan's animators

06/22 00:51

https://archive.ph/aPMAr

Show HN: Chess-Inspired Roguelike

06/21 14:50

307 points · 104 comments

22-year-old Mozart's handwritten notebook unearthed in 'major discovery'

06/20 23:50

62 points · 6 comments