2026-06-26（内容获取于 06/26 22:14）

Robotaxis drive miles just to get cleaned and charged; this new startup wants to fix that

TechCrunch · 06/26 21:00

Aseon Labs, which came out of Y Combinator's 2026 spring cohort, has raised $10 million from Crane Venture Partners and others.

中文介绍 Aseon Labs是一家Y Combinator 2026春季孵化器项目走出的初创公司，已从Crane Venture Partners等投资者处筹集了1000万美元。该公司旨在建立自动驾驶出租车（robotaxi）的停靠站，提供清洁和充电服务，以解决目前robotaxi需行驶远距离才能获得维护的问题。

Early Bird pricing ends tonight for TechCrunch Founder Summit

TechCrunch · 06/26 21:00

Save up to $190 on your pass to TechCrunch Founder Summit 2026. Early Bird pricing ends today, at 11:59 p.m. PT, after which rates increase. Register now.

[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报告显示，自2025年11月以来，其内部Codex模型的输出token中位数在多个部门实现显著增长：研究部门增长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，反映了AI工具在内部应用中的深化。

Run a vLLM Server on HF Jobs in One Command

Hugging Face Blog · 06/26 08:00

中文介绍 Hugging Face在其博客中宣布，用户现在可以通过一条命令，轻松地在Hugging Face Jobs平台上运行vLLM服务器。这一更新旨在简化vLLM模型的部署流程，为开发者提供更便捷高效的AI模型服务体验。

US vs. OpenAI 🏛️, state of AI economy 🤖, scaling laws 📈

TLDR AI · 06/26 08:00

中文介绍 TLDR AI今日简报涵盖了多个重要主题，其中包括美国与OpenAI之间的动态，AI经济的当前状况，以及关于AI模型扩展定律（scaling laws）的最新探讨。这份简报旨在为读者提供AI领域前沿的关键信息。

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 据报道，白宫（特朗普政府）出于安全顾虑，要求OpenAI暂缓其新模型GPT 5.6的公开发布。OpenAI据称计划将该模型先分享给选定的合作伙伴，而非直接向公众推出，以回应政府的担忧。

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即将进行更新，引入一项新功能，允许用户将视频播放速度提升至两倍。此举旨在让短视频内容变得“更短”，进一步优化用户的观看体验，并可能改变内容消费习惯。

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已筹集5000万美元资金，用于构建“数字世界”以对AI智能体进行压力测试。据其投资者透露，市场对Patronus AI服务的需求“几乎无法满足”，表明其AI智能体测试解决方案广受欢迎。

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宣布，由于第三方入侵，黑客窃取了部分用户资金。该公司表示，将向所有因此次安全漏洞而蒙受损失的用户退还被盗资金，以弥补用户的损失。

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宣布将提高部分产品价格，此举效仿了苹果公司。Xbox表示，价格上涨主要受内存和主机存储成本飙升的推动，目前这些关键部件的成本已比以往水平高出2.5倍以上，导致其运营成本显著增加。

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公司宣布将关闭其Notion Mail邮件收件箱服务，转而专注于其AI智能体产品。公司解释称，此举是由于用户越来越倾向于将电子邮件管理交给AI智能体处理，因此决定将资源投入到更符合用户需求的方向。

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 获得a16z支持的Base Power公司正通过一种创新模式，向最需要电力的电网提供更廉价的电力。该公司通过将电池安装在用户家中，提供备用电源服务，成功绕过PJM电网复杂且耗时的互联队列。

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 最新数据显示，尽管ChatGPT在AI市场占据主导地位，但Anthropic的Claude模型正逐渐赢得付费用户的青睐。越来越多的消费者选择为Claude付费，这表明Claude在竞争激烈的AI付费市场中正对ChatGPT构成挑战。

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3.2亿美元资金，致力于利用数百万小时的游戏数据来训练AI模型。该公司押注游戏中的行动数据能帮助AI智能体发展出更接近人类的直觉，并将其应用于真实世界，此举是其23亿美元宏大愿景的一部分。

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负责人提出，其公司的新技术能将AI的能耗降低1000倍。通过名为Un-0的图像生成系统工具，该技术首次展示了如何复制传统AI系统功能，有望大幅削减AI运行所需的巨大电力成本。

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版本更新。新版增加了autoMode.classifyAllShell设置，可将所有Bash/PowerShell命令通过自动模式分类器处理，并记录了自动模式拒绝原因，提升了代码安全性和透明度。

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。新版增加了「/rewind」功能以支持从清除前恢复对话，并修复了流式响应中滚动位置跳动以及后台代理停止后复活的问题，提升了用户体验。

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

simplex-chat/simplex-chat

Haskell · ★ 11,952 · 🍴 682 · 📈 191 stars today

SimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱!

中文介绍 SimpleX 是一款以隐私为核心设计的消息网络，独创性地不使用任何用户标识符，实现 100% 的匿名通信。它提供 iOS、Android 及桌面客户端，旨在为用户提供极致私密的即时通讯体验，解决传统聊天工具隐私泄露的担忧。

google-labs-code/design.md

TypeScript · ★ 20,596 · 🍴 1,694 · 📈 2,319 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 提出的一种格式规范，旨在为编程代理提供结构化方式，使其能够持久理解项目的视觉标识和设计系统。通过这一规范，AI 代理可以更好地遵循设计准则，协助开发者实现一致且高效的界面开发。

commaai/openpilot

Python · ★ 61,655 · 🍴 11,040 · 📈 67 stars today

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

中文介绍 openpilot 是一个用于机器人的开源操作系统，目前主要用于升级超过 300 款支持车型的驾驶辅助系统。它提供先进的驾驶功能，将现有车辆转变为更智能的半自动驾驶平台，为车辆和机器人技术社区提供可定制的解决方案。

kunchenguid/no-mistakes

Go · ★ 3,201 · 🍴 188 · 📈 996 stars today

git push no-mistakes

中文介绍 `no-mistakes` 项目可能是一个旨在防止 `git push` 操作中出现错误的工具或实践指南。它可能通过强制执行代码规范、运行自动化测试或提供安全检查来避免不必要的代码提交失误，从而提高开发流程的可靠性和代码质量。

grafana/grafana

TypeScript · ★ 74,753 · 🍴 14,116 · 📈 17 stars today

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

中文介绍 Grafana 是一个开源且高度可组合的可观测性与数据可视化平台。它能够聚合并可视化来自 Prometheus、Loki、Elasticsearch、InfluxDB 等多种数据源的指标、日志和链路追踪，帮助运维工程师和开发者全面监控系统运行状态，快速定位问题。

ripienaar/free-for-dev

HTML · ★ 123,547 · 🍴 13,042 · 📈 48 stars today

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

中文介绍 `free-for-dev` 项目汇集了一系列提供免费套餐的 SaaS、PaaS 和 IaaS 服务列表，对 DevOps 工程师和基础设施开发者尤为实用。它帮助用户发现免费的云服务资源，从而在开发、测试或个人项目中降低成本，加速创新。

opendatalab/MinerU

Python · ★ 70,132 · 🍴 5,924 · 📈 944 stars today

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

中文介绍 MinerU 旨在将 PDF 和 Office 文档等复杂格式高效转换为 LLM 可直接处理的 Markdown 或 JSON 格式。它解决了传统文档难以被大型语言模型理解的问题，为构建基于 AI 代理的工作流提供清洗和结构化的数据输入，赋能智能自动化应用。

alchaincyf/zhangxuefeng-skill

★ 9,185 · 🍴 2,556 · 📈 220 stars today

张雪峰.skill — 张雪峰的认知操作系统。高考志愿/考研/职业规划的实战思维框架。由女娲.skill生成。

中文介绍 张雪峰.skill 是一个基于知名教育专家张雪峰思维模式的“认知操作系统”，提供高考志愿填报、考研策略和职业规划的实战框架。该项目由“女娲.skill”生成，旨在帮助用户系统化地分析决策，提升在教育和职业发展方面的效率与成功率。

mauriceboe/TREK

TypeScript · ★ 7,321 · 🍴 634 · 📈 1,063 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 是一款可自托管的旅行规划工具，支持实时协作、互动地图、PWA 及单点登录（SSO）等功能。它提供预算管理、行李清单等实用模块，旨在帮助用户轻松规划行程，与同伴高效协作，享受个性化且隐私可控的旅行准备体验。

xbtlin/ai-berkshire

Python · ★ 2,872 · 🍴 419 · 📈 1,270 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-berkshire` 构建了一个基于 Claude Code 的 AI 时代价值投资研究框架，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，旨在自动化并优化投资决策过程，为追求深度分析和量化策略的投资者提供智能化工具。

calesthio/OpenMontage

Python · ★ 23,112 · 🍴 2,569 · 📈 1,674 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 AI 代理驱动视频制作系统。它集成了 12 条生产管线、52 种工具和超过 500 种代理技能，能将现有的 AI 编程助手转变为功能完备的视频制作工作室。该项目赋能用户通过 AI 自动化视频创作，大幅提升制作效率和内容创新。

aws/agent-toolkit-for-aws

Python · ★ 1,270 · 🍴 117 · 📈 238 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、技能和插件，旨在帮助 AI 代理在 AWS 云平台上更高效地构建和运行应用。它简化了 AI 代理与 AWS 服务的集成，为开发者提供了强大的基础组件，以加速智能自动化解决方案的开发。

NanmiCoder/MediaCrawler

Python · ★ 53,242 · 🍴 10,961 · 📈 640 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 是一款功能强大的媒体内容爬虫集合，支持从小红书、抖音、快手、B站、微博、百度贴吧和知乎等主流中文社交平台爬取笔记、视频、帖子、问答及评论数据。它为数据分析、舆情监控和内容研究提供便捷高效的数据采集解决方案。

garrytan/gstack

TypeScript · ★ 116,326 · 🍴 17,241 · 📈 919 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 提供了风险投资家 Garry Tan 的 Claude Code AI 代理配置，包含 23 种预设工具，可模拟 CEO、设计师、工程经理、发布经理等多个软件开发角色。它旨在通过 AI 代理自动化和优化创业公司及软件项目中的各项职责，提高团队的协作效率和决策质量。

IceWhaleTech/CasaOS

Go · ★ 35,144 · 🍴 2,010 · 📈 612 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可以轻松管理家庭数据、搭建应用服务的平台，将智能设备和数据集成在一个直观的界面下，让用户能够掌控自己的数字生活和隐私。

JCodesMore/ai-website-cloner-template

TypeScript · ★ 21,080 · 🍴 3,066 · 📈 1,076 stars today

Clone any website with one command using AI coding agents

中文介绍 `ai-website-cloner-template` 提供了一个利用 AI 编码代理一键克隆任何网站的解决方案。它简化了前端开发和网站重建流程，让开发者能够快速复制网站结构、样式和内容，极大地提高了效率，适用于原型制作、学习分析或快速搭建类似页面。

Panniantong/Agent-Reach

Python · ★ 41,941 · 🍴 3,329 · 📈 1,547 stars today

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

中文介绍 Agent-Reach 赋予 AI 代理浏览和搜索整个互联网的能力，尤其专注于主流社交媒体与内容平台，如 Twitter、Reddit、YouTube、GitHub、Bilibili 和小红书。通过单一 CLI 命令，该工具帮助 AI 代理以零 API 费用获取实时网络信息，极大地扩展了代理的信息感知和应用范围。

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 该博主深入探讨了AI使用效率问题，指出多数用户仍停留在手动低效的「请求-等待-修复」模式。推文聚焦于介绍「循环工程」（Loops）概念，并对比了Claude、GPT等模型在此模式下的实际应用和有效性，旨在引导用户采用更自动化、高效的AI交互方式，提升工作流效率。

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，详细阐述如何利用AI工具Claude与笔记软件Obsidian构建一个「AI第二大脑」。该系统旨在整合分散的笔记、浏览器标签和历史AI对话等信息，通过AI驱动实现知识库的每日智能迭代与更新，帮助用户高效管理和利用个人知识，避免重复整理与重建信息。

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 个基于 Claude Opus 4.8 的高效工作流，旨在帮助用户实现「睡后收入」。推文指出，多数人仅用 Claude 回答问题，而少数人已利用其自动化运营业务。这些工作流的关键不在于模型本身，而是如何通过巧妙设计，将 Claude Opus 4.8 转化为自动产生商业价值的工具。

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硬件领域的高速发展与巨额投资，指出超大规模数据中心在AI上的资本支出预计到2026年将超过6900亿美元。推文重点关注细胞与GPU在运行相同算法时的效率差异，深入比较了这两种截然不同的计算范式，为AI硬件未来的发展方向和效率提升提供了新的思考角度。

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 博主分享了利用 Claude 将学习效率提升 10 倍的方法。推文指出，虽然AI能迅速解释任何概念，但许多人因缺乏提问策略，导致获得的答案零散且低效。该分享旨在提供一套结构化的学习方法，指导用户如何有效利用 Claude 这一强大的AI工具，系统性地加速知识获取与理解过程。

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 宣布推出新产品 Engram，这是一款能从用户那里学习并深入理解其工作内容的AI。该产品旨在解决当前AI模型仅依赖训练数据、难以真正理解用户特定工作流程的局限性。Engram 的目标是「根据您的上下文扩展计算能力」，从而提供更个性化、更贴合用户实际需求的智能辅助。

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 博主分享了 30 个核心「Agentic Engineering」概念，旨在帮助开发者深入理解AI代理的实际工作原理，而非停留在表面演示和市场炒作。推文强调，全球开发者中仅有少数人真正掌握了AI代理背后的工程技术。这些概念涵盖了构建和优化AI代理的关键技术基础，对于希望超越简单调用的开发者具有重要价值。

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 推文宣布 ORACLE AI 代理已正式在 Polymarket 预测市场进行交易。该团队指出，到 2026 年，自主AI代理已成为预测市场中最有效的策略之一，届时 Polymarket 超过 30% 的活动将来源于算法和AI驱动的钱包。ORACLE 的目标是利用 AI 代理的自动化和高效性，在预测市场中实现优势。

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 Posthog 表达了对「循环」（loops）概念的强烈看好。推文指出，OpenClaw 和 Claude Code 的创建者 Peter Steinberger 和 Boris Cherny 近期都在强调这一概念的重要性。他们认为，在AI驱动的软件开发和自动化工作中，「循环」是一种更高效、更具扩展性的范式，能够显著提升AI系统的自主性和连续性。

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 推文宣布 ORACLE AI 代理已正式在 Polymarket 预测市场进行交易。该团队指出，到 2026 年，自主AI代理已成为预测市场中最有效的策略之一，届时 Polymarket 超过 30% 的活动将来源于算法和AI驱动的钱包。ORACLE 的目标是利用 AI 代理的自动化和高效性，在预测市场中实现优势。

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（General Availability），并成为与 Gemini 模型和 AI 代理进行交互的主要 API。该 API 于去年 12 月推出公开测试版，旨在为开发者提供一个统一、高效的接口，以充分利用 Gemini 模型和其AI代理的功能，推动更复杂的AI应用开发。

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 推文宣布 ORACLE AI 代理已正式在 Polymarket 预测市场进行交易。该团队指出，到 2026 年，自主AI代理已成为预测市场中最有效的策略之一，届时 Polymarket 超过 30% 的活动将来源于算法和AI驱动的钱包。ORACLE 的目标是利用 AI 代理的自动化和高效性，在预测市场中实现优势。

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 详细阐述了如何利用「循环工程」（Loop Engineering）技术，构建一个能够自我改进的量化交易系统。他承诺将深入剖析构成整个量化交易系统的关键「循环」逻辑，使其能够自主运行。该教程旨在为开发者提供构建高效、自动化交易系统的实操指南，聚焦于后端系统开发与优化。

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 这是博主关于「循环」（Loop）概念的第二部分，前作「WTF Is a Loop?」曾获得360万次浏览。此篇推文深入探讨了AI用户实际正在运行的 15 种「循环」，并提供了相应的指令，供读者学习和借鉴。内容旨在揭示主流的AI循环应用模式，帮助用户理解并应用这些高效的工作流。

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 博主探讨了AI编码领域正兴起的一种新范式转变：从直接向编码代理（coding agents）发送提示词，转变为设计能够自动生成提示词的「循环」（Loop Engineering）。推文指出，这种方法通过构建自动化循环，让AI代理实现更高级别的自主工作，从而提升编码效率和质量，代表了AI辅助开发的新方向。

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 博主公布 Design Arena 的最新评估结果，显示 GLM 5.2 在「单轮非代理HTML网页设计」测试中综合排名第一，比其前身 GLM-5.1 提升了 5 位。GLM 5.2 成功超越了包括 Claude Fable 5、Opus 4.6 等多个知名模型，证明其在特定网页设计任务上的卓越能力，为AI辅助设计领域树立了新标杆。

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 推文阐述了「子网挖矿TAO，TAO挖矿子网」的循环关系，并展示了相关的数学公式，暗示这是一次对去中心化AI网络或Bittensor子网机制的更新说明。该更新主要影响子网所有者和动态TAO代币分配，旨在优化网络激励和资源分配，促进生态系统内的协同增长与价值创造。

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 博主详细介绍了其团队如何为 GLM-5.2 模型构建了「全球最快的API」。GLM-5.2 被誉为 DeepSeek-R1 以来开放模型领域的重要突破，其性能可媲美 GPT 5.5 和 Opus 4.8，但成本却低 70-80%。此次 API 的优化旨在充分发挥 GLM-5.2 的低成本高性能优势，为开发者提供极速访问体验。

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 博主 Peter Diamandis 引用埃隆·马斯克对未来五年的描述——「超音速海啸」，来比喻科技变革的迅猛之势。他指出，这场变革的速度与规模巨大，以至于在人们察觉之前，其影响已然全面爆发。推文旨在探讨这种快速而深远的变化，以及个人和社会应如何应对即将到来的颠覆性时代。

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 博主深入探讨「循环工程」（Loop Engineering）概念，并以 Boris Cherny 的实际案例佐证其效力。Cherny 在去年 12 月利用 Claude 在一个月内完成了 259 个 Pull Request，期间甚至未曾打开代码编辑器。这表明其核心工作在于设计驱动 AI 自动生成代码的「循环」，而非传统意义上的代码编写，揭示了AI编码自动化新范式。

DanceOPD: On-Policy Generative Field Distillation

👍 51

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 该研究提出了DanceOPD模型，旨在统一文本到图像（T2I）、局部编辑和全局编辑等多种图像生成能力。论文指出，当前模型在整合这些功能时常面临冲突，例如编辑功能可能损害T2I性能。DanceOPD通过生成场蒸馏（Generative Field Distillation）技术，致力于解决这些能力间的自然对齐问题，实现更通用且协调的图像生成效果。

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 针对当前统一大型多模态模型（LMMs）依赖人工标注或外部奖励模型进行训练的现状，本研究提出「Ask, Solve, Generate」的自我演化方法。该方法引入自洽奖励机制，旨在无需人工监督的情况下，提升LMMs在视觉理解和图像生成方面的能力，探索模型自我改进的可能性，以实现更高效的多模态学习。

Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models

👍 0

06/25 08:00

Recently, self-evolving large multimodal models (LMMs) have received attention for improving visual reasoning in a purely unsupervised setting. However, multi-role self-play and self-consistency reward schemes in existing self-evolving LMMs optimize answer agreement without ensuring the decoder atte

中文介绍 自我演化的大型多模态模型（LMMs）在纯无监督环境下提升视觉推理能力方面备受关注。然而，现有LMMs中的多角色自博弈和自洽奖励机制主要优化答案一致性，却未能充分保证对视觉Token的有效关注。本研究旨在解决这一问题，通过增强模型对视觉Token的注意力，提升其在无监督设置下的视觉信息理解和推理能力。

PhysiFormer: Learning to Simulate Mechanics in World Space

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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 论文介绍了PhysiFormer，这是一种基于扩散Transformer的模型，用于生成符合物理规律的3D物体运动。与传统在依赖视角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中的3D网格。该模型能够根据初始顶点位置和速度等信息，模拟出更真实的物理力学行为，实现物理可信的3D动态仿真。

Autoregressive Boltzmann Generators

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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 在统计物理学中，高效采样处于热力学平衡状态的分子系统是一个核心挑战。为解决此问题，研究人员开发了Boltzmann生成器（BGs），它通过结合生成模型来快速生成不相关的平衡样本。本论文在此基础上提出了「自回归Boltzmann生成器」，旨在进一步提升分子系统采样的效率和准确性，以更好地理解和模拟复杂分子行为。

SAM2Matting: Generalized Image and Video Matting

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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 尽管图像抠图技术取得显著进展，但视频抠图仍因高级跟踪和低级细节抠图之间的固有鸿沟而面临挑战。现有方法难以有效整合需要帧级理解的高级跟踪和聚焦于极细粒度细节的低级抠图。该研究提出SAM2Matting，旨在提供一个通用的图像和视频抠图解决方案，有效弥合这一差距，实现高质量的抠图效果。

Hallucination in World Models is Predictable and Preventable

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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 现代生成世界模型能生成日益逼真且行为可控的未来场景，但常出现“幻觉”现象，即视觉流畅但偏离真实动力学。本研究假设幻觉集中在数据覆盖率低的区域，并提出幻觉是可预测和可预防的。通过深入分析，该研究旨在识别幻觉产生的根源，并开发相应策略来提高世界模型的真实性和可靠性。

OctoSense: Self-Supervised Learning for Multimodal Robot Perception

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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 论文介绍了OctoSense，一个开源的多模态传感器平台。该平台集成了立体RGB相机、事件相机、激光雷达、热成像相机、IMU、RTK修正的全球定位系统，以及来自汽车CAN总线和四足机器人关节角度的本体感受数据。OctoSense旨在通过自监督学习支持机器人实现多模态感知，提高其对复杂环境的理解能力。

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution

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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 文本与视觉的统一表示能简化多模态建模并提高训练效率，但将图像表示为离散信号与文本对齐时，不可避免地会引入严重信息损失。现有工作难以克服这一挑战。本文提出ViQ（Text-Aligned Visual Quantized Representations at Any Resolution），旨在创建在任意分辨率下都能实现文本对齐的视觉量化表示，有效减少信息损失。

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

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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 多模型LLM系统，如路由、投票、级联和混合智能体，常用于超越单模型准确率。本研究分析了67个前沿模型，揭示这些系统的性能提升存在一个“联合失败上限”，即当输出依赖于某个成员模型的答案时，其准确率无法超过所有成员模型共同失败的概率所决定的阈值。该发现为多模型LLM系统的设计提供了新视角。

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

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06/25 08:00

The prevalent dual-branch paradigm, i.e., training a side network to encode visual conditions and fusing its intermediate-layer features to a frozen pretrained main network, has shown remarkable success in visual-condition controllable generation. Despite its widespread adoption, the role of the sid

中文介绍 当前视觉条件可控生成普遍采用双分支范式，即训练一个侧网络编码视觉条件，并将其中间层特征融合到冻结的预训练主网络中，取得了显著成功。该研究提出了LISA（Likelihood Score Alignment），旨在通过似然分数对齐机制，进一步优化这一生成范式，提升视觉条件可控生成的质量和精确性，从而实现更精细的控制。

Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)

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06/25 08:00

I describe my solution to the LeHome Challenge 2026, an ICRA 2026 competition on bimanual garment folding. The system placed 1st of 62 teams in the online (simulation) round and 2nd in the real-world final. It improves a vision-language-action (VLA) policy with a reinforcement-learning loop. The pol

中文介绍 论文介绍了LeHome Challenge 2026（ICRA 2026竞赛）中一项双臂衣物折叠任务的获奖方案。该系统在在线（模拟）轮次中从62支队伍中脱颖而出，获得第一名，并在真实世界决赛中取得第二名。该方案通过强化学习改进了视觉-语言-动作（VLA）策略，展示了在复杂机器人操作任务中的高效性和鲁棒性。

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

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,

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

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

👍 30

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

👍 6

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

👍 31

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

👍 5

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

👍 19

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

Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments

👍 9

06/25 08:00

As agentic systems continue to evolve and are widely deployed in real-world scenarios, there is a growing demand to faithfully evaluate their capabilities. However, current benchmarks are typically built on popular applications with relatively simple tasks and focus on a narrow set of capabilities w

SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learning

👍 0

06/25 08:00

Sign Language Production (SLP) faces a fundamental trade-off: direct text-to-pose models suffer from regression-to-the-mean effects, while dictionary-retrieval methods produce disjointed transitions. To resolve this, we propose a novel training paradigm that leverages sparse keyframes to capture the

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

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 设备设计的私密工作空间应用。它利用了 MacBook 屏幕顶部的“刘海”区域，为用户提供一个专门的、不显眼的区域来放置常用工具、通知或快速访问的内容。此工具旨在帮助 Mac 用户更好地管理屏幕空间，提升工作效率和专注度，同时保持桌面的整洁。

Basedash for Excel

06/26 12:15

Turn any Excel file into a live dashboard

中文介绍 Basedash for Excel 是一款能够将任意 Excel 文件转化为实时交互式仪表盘的工具。它旨在帮助用户更便捷地可视化和监控数据，摆脱传统静态报告的限制，实现数据的动态展示与分析。用户无需复杂的编程知识，即可将现有 Excel 数据转化为直观、易于共享的实时看板。

Group Subscriptions by beehiiv

06/26 09:59

Sell subscriptions to teams, companies, and organizations.

中文介绍 内容发布平台 beehiiv 推出了“团体订阅”功能，允许创作者向团队、公司和组织销售订阅服务。此功能旨在简化企业或机构批量购买和管理订阅的流程，为内容提供者开辟新的商业模式，并方便大型用户群体统一管理多个账号的访问权限和费用。

Cewsco

06/26 04:33

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

中文介绍 Cewsco 是一款一体化AI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。它旨在为用户提供一站式的人工智能服务体验，满足个人和商业用户在不同场景下的需求，例如内容创作、数据查询、语音命令处理以及市场趋势分析等，提升工作效率。

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帮助用户屏蔽干扰、提升专注力的工具。它能在用户需要高度集中注意力时，智能识别并阻断来自设备或网络的各种潜在干扰源，从而创建一个更高效、无打扰的工作环境，帮助用户“锁定”并专注于当前任务。

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，能够即时显示当前正在访问网站的用户信息。它帮助网站所有者和营销人员快速了解网站活跃访客数量、来源、地理位置及具体行为，从而实现对在线表现的即时监控，并据此优化用户体验和营销策略。

Gemini Spark

06/25 13:47

Your 24/7 personal AI agent

中文介绍 Gemini Spark 是一款提供全天候服务的个人AI智能代理。它旨在作为用户的专属助手，能够24/7响应各种需求，处理任务、提供信息或辅助决策，为用户带来便捷的智能化体验。其目标是提升个人工作和生活效率，实现任务自动化和信息快速获取。

AI Slide Editor by CubeOne

06/25 07:07

The editor PowerPoint should've shipped

中文介绍 由 CubeOne 推出的 AI Slide Editor 是一款由人工智能驱动的幻灯片编辑工具，其设计目标是提供比传统演示软件更智能、更高效的编辑体验。该产品被宣传为“PowerPoint本应交付的编辑器”，旨在通过AI技术协助用户快速创建、美化和优化演示文稿。

Sidegent

06/24 22:34

Learn to build AI agents by actually building them

中文介绍 Sidegent 是一个实践性学习平台，旨在通过实际构建AI代理的方式，帮助用户掌握开发人工智能代理的技能。该平台强调“边做边学”的理念，为学习者提供动手实践的机会，从而更深入地理解AI代理的原理、设计和开发流程，加速学习曲线。

MeetPoint

06/24 21:38

Find the city where everyone's flights are cheapest

中文介绍 MeetPoint 是一款旅行规划工具，其核心功能是帮助用户找到对于所有参与者来说机票价格最低的会议城市。它通过分析多地出发的航班成本，优化行程安排，旨在显著降低团体出行的总费用，提升差旅规划的效率和经济性，尤其适用于分散各地的团队聚会。

Poweful Agents inside Slack

06/25 06:39

中文介绍 Riley Brown的视频展示了集成到Slack中的强大AI智能体。这些智能体能够在日常工作流中提供自动化协助，提升团队协作和工作效率。

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

06/21 21:30

中文介绍 Riley Brown的视频深入探讨了AI智能体领域的最新进展，重点介绍了GLM 5.2、Codex Skills、Claude和Cursor等技术如何带来变革性影响。

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

花 2 月写了一款软件，结果 claude code router 上线了一模一样的功能

06/26 16:48

4 回复 · 程序员 节点

apple 涨价，心态炸了，紧急补仓！

06/26 16:07

33 回复 · Apple 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

6 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

21 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

30 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

72 回复 · Apple 节点

请问下 neo 和 air m5 的购买建议

06/25 18:09

8 回复 · Apple 节点

Incident CVE-2026-LGTM

06/26 20:58

12 points · 0 comments

Ultrasound Imaging of the Brain

06/26 19:51

11 points · 1 comments

We all depend on open source. We will defend it together

06/26 13:40

347 points · 164 comments

Libre Barcode Project

06/26 11:12

217 points · 35 comments

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

06/26 10:29

249 points · 97 comments

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

06/26 09:10

240 points · 124 comments

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

06/26 07:10

186 points · 35 comments

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

06/26 05:44

874 points · 430 comments

Un-0: Generating Images with Coupled Oscillators

06/26 04:50

165 points · 40 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

144 points · 51 comments

The Doorman's Fallacy in action

06/26 04:00

160 points · 217 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

350 points · 188 comments

OS9Map

06/25 23:01

247 points · 46 comments

Zig's new bitCast semantics and LLVM back end improvements

06/25 22:19

255 points · 127 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

Show HN: WebBase-III – dBASE III rebuilt in the browser with its own interpreter

06/24 16:46

25 points · 6 comments

FEXPRs vs. vtable: how LispE interpreter works

06/24 07:57

12 points · 2 comments

Record type inference for dummies

06/23 21:04

60 points · 4 comments

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

06/23 17:35

279 points · 54 comments

Bipartite Matching Is in NC

06/23 06:43

53 points · 0 comments

Oxide computer 3D rack guided tour

06/22 23:21

415 points · 171 comments

The last Romans are still around

06/22 23:00

115 points · 179 comments

Doing a masters while working in Spain

06/22 15:44

73 points · 50 comments

Microbubbles in Medicine

06/22 09:59

18 points · 3 comments

Show HN: Chess-Inspired Roguelike

06/21 14:50

359 points · 118 comments

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

06/20 23:50

134 points · 34 comments