2026-07-01（内容获取于 07/01 05:27）

NASA may send a backup, nuclear-powered Mars rover to the Moon

Ars Technica · 07/01 04:50

"That would be an awesome capability."

中文介绍 美国国家航空航天局（NASA）正在考虑将一个为火星任务设计的备用核动力漫游车，转用于月球探测。此举有望利用其核动力在月球极地等资源受限区域进行长期探索，提升NASA的月球科研能力。

Google kills Tenor GIF API, forcing changes at X, Discord, and more

Ars Technica · 07/01 04:38

Tenor still connects to Google apps, but other platforms must look elsewhere for GIFs.

中文介绍 谷歌已终止对热门GIF平台Tenor的API支持，迫使X、Discord等依赖其服务的平台寻找替代方案。尽管Tenor仍可连接至谷歌旗下应用，但这一变动将对其他第三方应用和服务集成产生显著影响。

The DeepMind trio who built a poker AI are now making money for quant hedge funds

TechCrunch · 07/01 04:33

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 million.

中文介绍 由三名前DeepMind研究员创立的布拉格AI实验室EquiLibre Technologies，曾开发扑克AI，现已成功为量化对冲基金创造收益。该公司估值已超过5亿美元，显示其AI技术在金融领域的强大应用潜力。

Apple takes Epic fight over app store fees to the Supreme Court

Ars Technica · 07/01 04:20

Supreme Court will weigh if Apple contempt finding in Epic case is “erroneous.”

中文介绍 苹果公司已将与Epic Games关于App Store费用的长期法律纠纷上诉至最高法院。最高法院将审议此前判定苹果藐视法庭的裁决是否存在“错误”，此案将对应用商店的商业模式及行业竞争产生深远影响。

New attack provides one more reason why AI browsers are a bad idea

Ars Technica · 07/01 04:03

Telling an LLM that 2 + 2 = 5 is enough to make it follow forbidden instructions.

中文介绍 最新研究指出，AI浏览器存在安全漏洞，通过简单的“催眠”指令，如告知大语言模型“2 + 2 = 5”，就能使其规避安全防护措施并执行不被允许的指令。这揭示了AI浏览器潜在的风险，引发对LLM安全性的担忧。

Realta Fusion generates electricity directly from a fusion reaction, an apparent first

TechCrunch · 07/01 03:12

“We can take power from a plasma,” Kieran Furlong, co-founder and CEO of Realta Fusion, told TechCrunch. The milestone shows “what’s possible,” he added.

中文介绍 Realta Fusion公司宣布，已成功直接从核聚变反应中产生电力，这被认为是全球首次实现。公司联合创始人兼CEO Kieran Furlong表示，这一里程碑展示了从等离子体中获取能量的可能性，预示着清洁能源领域的重大突破。

Google introduces a faster, cheaper image generator with Nano Banana 2 Lite

TechCrunch · 07/01 03:02

Google is updating its image generator to make it faster and cheaper, making it a more useful tool for creators looking to make AI content.

中文介绍 谷歌推出了名为Nano Banana 2 Lite的全新图像生成器，旨在提供更快、更经济的AI图像创作体验。这款更新旨在降低内容创作者使用AI生成图像的门槛和成本，进一步普及AI创作工具的应用。

Anthropic's new Claude Sonnet 5 closes the gap to the pricier Opus model series

The Decoder · 07/01 02:46

Anthropic released Claude Sonnet 5, which beats its predecessor Sonnet 4.6 across all benchmarks and even edges past the larger Opus 4.8 on the GDPval-AA v2 knowledge work test with a score of 1,618. Anthropic is also quick to point out that the model scores far below the models the US government cu

中文介绍 Anthropic发布了最新模型Claude Sonnet 5，该模型在所有基准测试中超越了前代Sonnet 4.6，并在GDPval-AA v2知识工作测试中以1618分微弱领先更昂贵的Opus 4.8。这表明Sonnet 5已大幅缩小与Opus系列模型之间的性能差距。

Google's new Nano Banana 2 Lite image model is its fastest and cheapest yet

Ars Technica · 07/01 02:36

They may not look as good, but Nano Banana 2 Lite images only take a few seconds to create.

中文介绍 谷歌推出了其迄今为止最快、最经济的AI图像生成模型Nano Banana 2 Lite。尽管生成的图像质量可能不如高端模型，但它能够在几秒钟内完成图像创建，大大提升了创作效率和成本效益。

Clicks shows off its BlackBerry-inspired phone in a new hands-on video

TechCrunch · 07/01 02:34

A new video shows the final production version of the upcoming Clicks Communicator, a BlackBerry-like smartphone that runs modern apps.

中文介绍 Clicks公司发布了一段全新上手视频，展示了其受黑莓启发的智能手机Clicks Communicator的最终量产版本。这款手机保留了实体键盘设计，同时支持运行现代应用程序，旨在满足部分用户对经典操作体验的需求。

ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

Hugging Face Blog · 07/01 02:32

中文介绍 IBM研究团队推出了ScarfBench，这是一个专为评估AI代理在企业级Java框架迁移中性能的基准测试平台。ScarfBench旨在帮助开发者衡量和优化AI辅助代码迁移的效率和准确性，以提升企业软件现代化进程。

RFK Jr. stacks FDA panel with peptide peddlers as FDA scientists oppose access

Ars Technica · 07/01 02:25

Peptide drugs are popular, but FDA scientists warn they're untested, may be harmful.

中文介绍 小罗伯特·F·肯尼迪（RFK Jr.）被指控在美国食品药品监督管理局（FDA）的专家小组中安插肽类药物推销者，而FDA科学家们则反对未经测试的肽类药物向公众开放。FDA科学家警告称，这些流行但未经充分测试的药物可能存在潜在危害。

Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip

TechCrunch · 07/01 02:13

Nvidia AI chip competitor Etched says it has already booked $1 billion under contract for the inference systems powered by its chip.

中文介绍 英伟达的AI芯片竞争对手Etched公司宣布，其估值已达到50亿美元，并已通过合同获得了10亿美元的AI芯片推理系统销售额。这表明Etched在竞争激烈的AI芯片市场中展现出强劲增长势头和市场潜力。

Anthropic launches Claude Science, an AI workspace built specifically for researchers

The Decoder · 07/01 02:03

Anthropic released Claude Science, an AI workbench for researchers. More than 60 preconfigured skills cover fields like genomics and computational chemistry, and a verification agent automatically checks citations and calculations. The app runs locally or on HPC clusters, so sensitive data never has

Anthropic launches Claude Sonnet 5 as a cheaper way to run agents

TechCrunch · 07/01 02:00

Anthropic’s Claude Sonnet 5 brings stronger agentic capabilities, lower pricing, and improved safety, positioning the model as a cheaper alternative to Opus, GPT-5.5, and Gemini Pro.

中文介绍 Anthropic发布了Claude Sonnet 5模型，其具备更强的代理能力、更低的价格和更高的安全性。该模型旨在成为Opus、GPT-5.5和Gemini Pro等模型的更经济替代品，为用户提供性价比更高的AI代理解决方案。

hasaneyldrm/exercises-dataset

HTML · ★ 6,353 · 🍴 777 · 📈 1,413 stars today

A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video.

中文介绍 hasaneyldrm/exercises-dataset 提供了一个包含433种健身运动的综合数据集，每项运动详细收录了名称、类别、目标肌肉群、所需器械、完整说明、缩略图及动画视频。该数据集旨在为健身应用开发、运动科学研究或AI模型训练（如姿态识别）提供高质量、结构化的多媒体资源。开发者可利用此数据快速构建功能丰富的健身指南、训练计划生成器，或用于AI在健身领域的应用开发，极大地降低了数据收集与整理的门槛。

usestrix/strix

Python · ★ 28,032 · 🍴 3,117 · 📈 395 stars today

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

中文介绍 `strix` 是一个开源的 AI 安全工具，旨在帮助开发者和安全团队自动发现并修复应用程序中的潜在漏洞。该项目利用人工智能技术，模拟“AI 渗透测试员”的行为模式，对应用进行深度分析和攻击模拟，从而有效识别传统安全扫描工具可能遗漏的安全缺陷。它解决了人工安全审计耗时耗力、且容易出错的问题，特别适用于需要持续安全保障的开发流程（如 CI/CD），帮助团队在软件发布前提升应用的整体安全性，降低潜在的安全风险。

msitarzewski/agency-agents

Shell · ★ 120,706 · 🍴 19,728 · 📈 1,793 stars today

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

中文介绍 agency-agents 项目提供了一个完整的 AI 代理机构框架，通过部署多个具有特定人格和专业技能的 AI Agent，协同完成复杂任务。这些 Agent 涵盖前端开发、社区运营、创意生成和事实核查等多样化角色，旨在模拟人类团队协作，实现自动化决策与执行。它适用于需要集成多种 AI 能力、自动化跨领域工作流的开发者和企业。

altic-dev/FluidVoice

Swift · ★ 4,862 · 🍴 300 · 📈 586 stars today

Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model - Local Wispr Flow alternative. One ⭐ takes us a long way :)) Windows, iOS and Linux coming soon.

中文介绍 `FluidVoice` 是一款专为 macOS 用户设计的高性能离线听写应用，旨在提供极速的语音转文本体验。该项目最大的亮点在于其完全本地化的处理能力，无需联网即可准确进行语音识别，有效保护了用户隐私并确保了数据安全。它解决了传统在线听写服务可能存在的延迟、隐私泄露和网络依赖问题，非常适合需要频繁进行文本输入、注重效率和隐私的 macOS 用户，无论是撰写文档、记录会议还是日常办公，都能提供流畅且安全的语音输入体验。

diegosouzapw/OmniRoute

TypeScript · ★ 8,403 · 🍴 1,391 · 📈 459 stars today

Never stop coding. Free AI gateway: one endpoint, 231+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.

中文介绍 OmniRoute 提供一个免费的 AI 网关，通过单一 API 端点集成超过231个 AI 提供商（其中50余个免费），旨在解决多模型调用的复杂性。它支持将 Claude Code、Codex、Cursor、Cline、Copilot 等编码助手连接至免费的 Claude、GPT、Gemini 等主流大模型，大幅降低开发成本。项目还采用 RTK+Caveman 堆叠压缩技术，可节省 15-95% 的数据传输开销，适合开发者统一管理 AI 服务、优化性能并利用免费资源进行高效开发。

browser-use/video-use

Python · ★ 12,515 · 🍴 1,601 · 📈 722 stars today

Edit videos with coding agents

中文介绍 `video-use` 是一个探索通过“编码代理”来编辑视频的创新项目。它旨在颠覆传统的图形界面视频编辑模式，允许用户通过编写代码或使用智能代理来自动化和执行复杂的视频剪辑、特效添加及内容生成等任务。该项目解决了传统视频编辑软件操作繁琐、难以批量处理的问题，为开发者、内容创作者和研究人员提供了一种全新的、更具编程性和自动化潜力的视频制作方式，尤其适合需要进行程序化视频生成、自动化后期处理或实验新颖交互模式的场景。

xbtlin/ai-berkshire

Python · ★ 7,444 · 🍴 953 · 📈 966 stars today

AI 时代的伯克希尔：基于 Claude Code / Codex 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 for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

中文介绍 `ai-berkshire` 旨在构建一个 AI 时代的价值投资研究框架，其核心是借鉴巴菲特、芒格、段永平、李录四位投资大师的方法论，并结合 Claude Code 大模型技术进行实践。该项目利用多 Agent 并行研究机制，模拟专家分析师的工作流，对公司进行深度价值分析，识别潜在投资机会。它为量化投资者、AI 开发者和对价值投资感兴趣的用户提供了一个利用 AI 进行高级金融分析的实验性平台，以期在复杂的市场环境中做出更明智的投资决策。

Mebus/cupp

Python · ★ 6,079 · 🍴 2,046 · 📈 61 stars today

Common User Passwords Profiler (CUPP)

中文介绍 CUPP（Common User Passwords Profiler）是一款强大的工具，旨在通过分析目标用户或组织的相关信息，如姓名、生日、公司名等，来生成定制化的弱口令字典。它通过结合常见密码模式和用户特定数据，构建出更具针对性的密码列表，有效提高了密码猜测和渗透测试的效率。该工具主要应用于安全审计、渗透测试及红队演练场景，帮助安全专业人员评估系统和用户账户的口令强度，发现潜在的安全漏洞。

ripienaar/free-for-dev

HTML · ★ 127,273 · 🍴 13,304 · 📈 740 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` 是一个精心整理的资源列表，汇集了众多为开发者和运维工程师提供免费使用额度 (free tiers) 的 SaaS、PaaS 和 IaaS 产品及服务。该项目旨在帮助开发者和基础设施工程师发现和利用这些免费资源，以降低个人项目、原型开发或小型团队的运营成本。它涵盖了从云服务、数据库、CI/CD 工具到 API 网关等多个类别，对于预算有限的个人开发者、初创团队或学习新技术的工程师极具参考价值。

google/agents-cli

Python · ★ 4,114 · 🍴 450 · 📈 433 stars today

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

中文介绍 Google 的 agents-cli 提供一套命令行界面及其配套技能，旨在将任何编程助手转变为在 Google Cloud 上创建、评估和部署 AI Agent 的专家。它通过集成到开发工作流中，简化了 AI Agent 的生命周期管理，允许开发者利用现有编程辅助工具，高效地在 Google Cloud 平台上构建、测试并上线智能代理。这解决了 AI Agent 开发与部署的复杂性，赋能开发者和AI工程师，使其能更专注于 Agent 逻辑而非底层基础设施操作。

roboflow/supervision

Python · ★ 45,868 · 🍴 4,069 · 📈 336 stars today

We write your reusable computer vision tools. 💜

中文介绍 Roboflow/supervision 旨在提供一套可复用的计算机视觉工具集，帮助开发者简化常见的 CV 工作流程。它包含了从数据加载、图像预处理到模型推理结果可视化和指标评估等一系列实用功能，如边界框操作、掩码处理、多边形转换以及各种检测结果的绘制工具。该库解决了计算机视觉项目中的重复性任务，使工程师和研究人员能够更高效地构建、训练和部署他们的视觉模型，从而加速应用开发。

ogulcancelik/herdr

Rust · ★ 8,931 · 🍴 537 · 📈 485 stars today

agent multiplexer that lives in your terminal.

中文介绍 herdr 是一个命令行工具，它充当 AI Agent 的多路复用器，允许用户在终端中高效管理和交互多个智能代理。通过提供一个统一的接口，它解决了同时运行和协调多个 Agent 时的复杂性，例如不同 Agent 的输入、输出和状态管理。开发者和AI工程师可以使用 herdr 来构建复杂的自动化工作流，同时监控不同 Agent 的执行情况，无需切换多个应用或窗口，极大地提升了Agent驱动型应用的开发和调试效率。

simplex-chat/simplex-chat

Haskell · ★ 17,298 · 🍴 1,007 · 📈 1,229 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 是一个注重极致隐私的去中心化消息网络，设计之初就避免使用任何用户标识符，实现 100% 匿名通信。它通过独特的协议机制，让用户无需注册账号、无需手机号或邮箱，即可安全私密地进行消息交换。该项目提供 iOS、Android 和桌面端应用程序，适用于重视个人数据隐私和匿名交流的用户，尤其是在需要高度保密通信的场景。

CoreBunch/Instatic

TypeScript · ★ 1,462 · 🍴 137 · 📈 351 stars today

Instatic is a modern self-hosted visual CMS - get it running in 1 minute

中文介绍 Instatic 是一款现代化的自托管可视化内容管理系统（CMS），主打一分钟快速部署体验。它提供直观的图形界面，让用户能够轻松创建、编辑和发布网站内容，无需复杂的编码知识。该项目解决了传统 CMS 部署繁琐、或商业 CMS 费用高昂的问题，为开发者、小型企业和内容创作者提供了一个功能强大且易于掌控的平台。用户可以将其部署到自己的服务器上，完全掌控数据和网站运行环境，非常适合需要高度自定义和自主管理内容的场景。

microsoft/AI-For-Beginners

Jupyter Notebook · ★ 49,264 · 🍴 10,153 · 📈 180 stars today

12 Weeks, 24 Lessons, AI for All!

中文介绍 Microsoft 的 AI-For-Beginners 是一个为期12周、包含24节课程的全面人工智能学习路径，旨在普及 AI 知识，面向所有希望入门 AI 的学习者。该课程涵盖人工智能的核心概念、机器学习基础、深度学习、自然语言处理和计算机视觉等关键领域。它通过实践项目和清晰的讲解，帮助初学者逐步建立 AI 知识体系和动手能力，解决了传统 AI 学习门槛高的问题，非常适合学生、软件开发者以及希望转行进入 AI 领域的专业人士。

facebook/astryx

TypeScript · ★ 1,700 · 🍴 93 · 📈 399 stars today

An open source design system that's fully customizable and agent ready

中文介绍 Astryx 是 Facebook 推出的一个开源设计系统，提供高度可定制化的 UI 组件和设计规范。其独特之处在于“agent ready”特性，意味着它被设计成可以被 AI Agent 理解和操作，例如用于自动化 UI 生成、智能设计建议或构建由 AI 驱动的用户界面。该系统旨在帮助设计师和前端开发者快速构建一致且高质量的用户界面，同时为新兴的 AI 辅助设计和 AI Agent 界面开发场景提供了坚实基础，解决了传统设计系统与 AI 集成度不足的问题。

HKUDS/Vibe-Trading

Python · ★ 15,729 · 🍴 2,728 · 📈 719 stars today

"Vibe-Trading: Your Personal Trading Agent"

中文介绍 Vibe-Trading 是一个个人交易 Agent 项目，旨在为用户提供智能化的交易辅助。它可能通过分析市场数据、情绪指标等，自动化交易决策和执行策略，帮助用户更好地管理投资组合并捕捉交易机会。该项目适用于希望利用 AI 技术增强交易能力、实现自动化投资或寻求个性化交易策略的个人投资者和量化交易爱好者。

obra/superpowers

Shell · ★ 242,409 · 🍴 21,509 · 📈 884 stars today

An agentic skills framework & software development methodology that works.

中文介绍 obra/superpowers 提供一个结合了智能 Agent 能力框架与软件开发方法的项目，旨在有效构建和部署基于 AI Agent 的复杂系统。它定义了一套结构化的方法论，用于组织、管理和编排 Agent 的“技能”，使其能够协同完成复杂的任务。该项目解决了在 Agent 驱动型软件开发中，如何系统化地设计、实现和测试 Agent 能力的问题，帮助开发者和团队更高效地将 AI Agent 集成到实际应用中，从而加速智能系统的迭代与交付。

Robbyant/lingbot-map

Python · ★ 8,824 · 🍴 856 · 📈 210 stars today

A feed-forward 3D foundation model for reconstructing scenes from streaming data

中文介绍 `lingbot-map` 是一个面向机器人和实时应用设计的 3D 基础模型，它利用前馈神经网络技术，能从连续的流式数据中高效重建三维场景。该项目旨在解决动态环境中实时感知和高精度地图构建的挑战，尤其适用于需要即时理解周围环境的机器人、自动驾驶系统或增强现实（AR）设备。通过提供一个强大的 3D 感知框架，它能够帮助这些系统实现更智能的导航、避障和交互能力，为未来的智能体和沉浸式体验提供核心空间感知能力。

27 Hidden Claude Features, Settings & Shortcuts That Most Users Don't Know

@sairahul1 · 121.4K 粉丝 · 2.9M 阅 · 506 赞 · 97 转

06/26 16:47

Most people use Claude Code like a fancy autocomplete. They prompt. They wait. They accept the first output. They are leaving 90% of the power on the table. There are 27 specific moves that separate

中文介绍 此推文列举 27 个大多数用户可能不了解的 Claude 隐藏功能、设置与快捷方式。旨在帮助用户发现并充分利用 Claude 更深层次的能力，以提高效率和操作体验，解锁其未被发现的潜力。

How To Build a One-Person Company Using Claude Cowork

@sairahul1 · 121.4K 粉丝 · 876.6K 阅 · 547 赞 · 83 转

06/27 17:03

Emails. Formatting. Compiling reports. Preparing decks. Organizing files. Researching. Marketing. Writing. SEO. The average knowledge worker spends 60% of their day on above work that doesn't require

中文介绍 帖子讨论如何利用 Claude Cowork 搭建一人公司。博主可能分享了相关策略、工具集成或具体实践方法，旨在为独角创业者提供运营思路和效率提升方案。

$OUST Deep Dive - One of My Favorite Physical AI Plays

@crux_capital_ · 52.8K 粉丝 · 217.5K 阅 · 503 赞 · 56 转

06/28 04:53

This is the most in depth report I have ever written, on a very exciting company. If you read this article you will have a much deeper understanding of what Ouster does, how it plays into Physical AI,

中文介绍 博主发布一篇关于 Ouster 公司的深度分析报告，详尽阐述该公司在“实体 AI”（Physical AI）领域的核心角色、技术及市场潜力，旨在帮助读者深入理解其业务模式。

ORACLE: Official AI Agents Trade on Polymarket

@OracleLimited · 37.6K 粉丝 · 202.9K 阅 · 2.8K 赞 · 562 转

06/29 22:08

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 「OracleLimited」分享了对2026年预测市场的未来愿景。届时，自主AI智能体将成为最有效的交易策略之一，Polymarket上超过30%的活动将由算法和AI驱动的钱包完成。该分享描绘了AI在去中心化金融和预测领域深度参与的趋势。

ORACLE: Official AI Agents Trade on Polymarket

@OracleAiTrading · 34.1K 粉丝 · 176.1K 阅 · 2.7K 赞 · 567 转

06/30 02:06

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 「OracleAiTrading」提出了一个关于2026年预测市场前景的展望。文中指出，自主AI智能体将主导市场，成为最有效的交易策略，届时Polymarket上逾30%的交易将由算法和AI驱动的钱包进行。这篇推文描绘了AI在未来金融市场中的核心作用。

How to Build a $10,000-Level Website With Animations in Claude Code

@monokern · 1.9K 粉丝 · 175.8K 阅 · 546 赞 · 49 转

06/28 22:57

Agencies charge $5,000 for a portfolio site that looks this good I built mine in 2 hours. Here's exactly how This is the real walkthrough - not a generic template guide I'm using my own portfolio as

中文介绍 博主「monokern」分享了如何使用Claude Code在两小时内构建一个价值5000美元级别的带动画效果的个人作品集网站。他通过自身案例详细展示了具体操作步骤，强调这是一个实用的真实工作流，而非通用模板指南，旨在帮助用户高效利用AI工具实现高质量的网站开发。

ORACLE: Official AI Agents Trade on Polymarket

@Oracle__Market · 5.9K 粉丝 · 100.0K 阅 · 2.1K 赞 · 823 转

06/28 02:14

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 推文展望 2026 年，自治 AI 代理将成为预测市场 Polymarket 上的高效策略。届时，超过 30% 的平台活动预计由算法和 AI 驱动的钱包贡献，展示了 AI 在预测和交易领域的巨大潜力与影响力。

ORACLE: Official AI Agents Trade on Polymarket

@Oracle_Market__ · 25.1K 粉丝 · 99.3K 阅 · 2.8K 赞 · 224 转

06/28 01:42

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 帖子展望 2026 年，预测自治 AI 代理将在 Polymarket 等预测市场中占据主导地位。届时，超过 30% 的市场活动将由算法和 AI 驱动的钱包产生，揭示 AI 在金融预测领域的未来潜力。

This Week on Base: New Base MCP skills + now live in Perplexity, Base App on desktop, and more!

@base · 1.3M 粉丝 · 93.3K 阅 · 501 赞 · 127 转

06/27 04:40

News ■ Base MCP's new skills let agents transact, trade, lend, mint, and buy onchain across 13 apps: @yield @AskVenice @KyberNetwork @opensea @o1_exchange @Balancer @printr @bitrefill @flaunchgg

中文介绍 Base 宣布其 MCP 推出新技能，赋能 AI 代理在 13 个 DApp 上实现链上交易、借贷、铸币及购买等操作。这些新功能支持代理与 @yield、@KyberNetwork、@opensea 等应用交互，显著扩展了 Base 生态中 AI 代理的自动化能力。

thoughts on why mcp didn't work, what's next

@RhysSullivan · 57.4K 粉丝 · 86.1K 阅 · 503 赞 · 25 转

06/26 09:03

mcp came out when the best models were sonnet 3.5 and GPT 4o not a lot was known about how to properly work with these tools yet, we were still incredibly concerned on models having access to tools,

中文介绍 博主反思 MCP 初期表现不佳的原因，认为当时 Sonnet 3.5 和 GPT-4o 等最佳模型仍存局限，且对模型直接访问工具的能力普遍担忧。推文暗示了对该项目未来发展方向的思考，为早期 AI 代理的挑战提供了见解。

The Hermes + Obsidian + Claude Code Trinity: The Full System for Running a One Person Company

@cyrilXBT · 187.0K 粉丝 · 77.2K 阅 · 510 赞 · 93 转

06/28 08:55

There is a specific moment that tells you whether someone is running a real one person company or just using a lot of apps. It is the moment they get asked a question about their own business and they

中文介绍 博主分享一套用于高效运营一人公司的完整系统，核心由 Hermes、Obsidian 和 Claude Code 三个工具协同构成，旨在帮助独角创业者整合应用，流畅应对业务挑战。

Two kinds of scheduled work in Codex

@jxnlco · 113.3K 粉丝 · 54.2K 阅 · 501 赞 · 29 转

06/28 15:39

You want Codex to do something later, or keep checking something until it changes. That sounds like one feature. It is actually two different kinds of work, and the difference is simple: Scheduled

中文介绍 博主阐释了在 Codex 中处理「计划任务」的两种不同模式。一种是「定时执行」（Scheduled），用于指定未来某时执行一次性任务；另一种是「持续检查」（Polling），旨在持续监控特定条件直到其发生变化。作者强调，理解这两种模式的区别，能帮助用户更准确、高效地利用 Codex 进行自动化任务调度，避免混淆带来的误用。

i don't want to use your agent

@RhysSullivan · 57.4K 粉丝 · 48.9K 阅 · 501 赞 · 23 转

06/28 05:56

i want to use the skills, knowledge, and apis your company has spent years developing, not your custom agent almost every company by this point has shipped an agent there's a cloudflare agent in their

中文介绍 「RhysSullivan」表达了他对当前公司普遍推出自定义AI智能体的反感。他指出，用户更希望直接利用公司多年开发的技能、知识和API，而非强制使用其定制智能体。博主以Cloudflare为例，探讨了产品设计中用户体验与AI集成策略的冲突，呼吁回归以API为中心的开放模式。

Introducing computer use in Gemini 3.5 Flash

@GoogleAIStudio · 179.4K 粉丝 · 41.0K 阅 · 605 赞 · 57 转

06/25 00:24

Computer use is now a built-in tool supported in Gemini 3.5 Flash, delivering our best performance yet for agentic computer use tasks. Previously only available as a standalone Gemini 2.5 computer use

中文介绍 Google AI Studio 宣布「计算机使用」功能现已作为内置工具集成到 Gemini 3.5 Flash 中，显著提升了其在代理级计算机使用任务上的表现。此功能此前在 Gemini 2.5 中仅作为独立工具提供，此次整合使得 Gemini 3.5 Flash 在处理复杂自动化任务时更加高效和便捷。

How LLM Inference Works, Clearly Explained.

@_avichawla · 71.1K 粉丝 · 39.8K 阅 · 501 赞 · 67 转

06/28 19:58

Every generate() call to an LLM runs two distinct computational phases on the same GPU: prefill (processing the prompt) is compute-bound while decode (generating tokens one at a time) is memory-bound.

中文介绍 帖子清晰地解释了大型语言模型 (LLM) 推理过程中的两个计算阶段。在每次 generate() 调用时，LLM 在同一 GPU 上执行「预填充」（prefill）和「解码」（decode）两个独立阶段。其中，处理提示词的 prefill 阶段受限于计算资源，而逐个生成 token 的 decode 阶段则受限于内存带宽。理解这两阶段有助于优化 LLM 性能。

Life After Switching to Kimi

@0xDevin_ · 6.6K 粉丝 · 38.3K 阅 · 539 赞 · 5 转

06/26 10:03

Most AI tools are chatbots with a nice interface. Kimi is different. It is a full system: a browser automation engine called Claw that navigates websites like a human, an Agent Swarm that runs

中文介绍 博主分享了从其他 AI 工具转向 Kimi 后的体验。他指出，Kimi 不仅仅是一个带有界面的聊天机器人，而是一个完整的智能系统。该系统集成了名为 Claw 的浏览器自动化引擎，能够像人类一样浏览网站，并结合了 Agent Swarm 技术，使其能够执行更复杂的任务和工作流，超越了传统 AI 助手的范畴。

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining

👍 19

06/29 08:00

Modern large-scale LLM pretraining benefits from utilizing Pipeline Parallelism; however, synchronous implementations leave GPUs idle during pipeline bubbles, wasting computational resources. Asynchronous Pipeline Parallelism eliminates these bubbles, maximizing throughput at the cost of gradient st

中文介绍 该研究探讨了大规模LLM预训练中的异步流水线并行技术。传统同步实现因“流水线气泡”导致GPU空闲，浪费计算资源。研究表明，一步梯度延迟并非异步流水线并行的障碍，通过消除这些气泡，异步方法能最大化吞吐量，从而有效提升大规模LLM预训练的效率和资源利用率，为未来高效训练大型模型提供了重要理论支持。

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

👍 66

06/29 08:00

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling from two perspectives: scaling long-horizon trajectories and scaling heterogeneous agent abilities. To support this goal

中文介绍 该研究提出Agents-A1模型，一个35亿参数的专家混合智能体模型，通过扩展智能体的“视界”（agent horizon）实现了万亿参数级别的性能。研究从两个角度探讨了智能体视界扩展：延长长视界轨迹和提升异构智能体能力，旨在探索在不增加模型参数量的情况下，如何有效提升大语言模型（LLM）的性能，为更高效的AI模型开发提供新思路。

Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation

👍 0

06/29 08:00

Estimating accurate 3D hand-object pose from in-the-wild egocentric RGB remains challenging due to severe occlusions and ambiguous contact. Existing learning-based methods often struggle to generalise to in-the-wild scenes and are limited by the scarcity of supervision. We address these issues with

中文介绍 从第一视角RGB视频中准确估计野外场景下3D手部与物体姿态仍面临挑战，主要原因包括严重遮挡、接触模糊以及现有学习方法泛化能力差和监督数据稀缺。该研究旨在解决这些问题，推动在复杂真实环境中实现更鲁棒的3D手物姿态估计，这对于人机交互、虚拟现实、机器人操作等前沿领域的发展具有重要意义。

Orca: The World is in Your Mind

👍 64

06/29 08:00

We introduce Orca, an initial instantiation of a general world foundation model. Orca learns a unified world latent space from multimodal world signals and exposes it through multimodal readout interfaces. Rather than optimizing isolated next-token, next-frame, or next-action prediction, we are cent

中文介绍 该研究提出Orca模型，是通用世界基础模型的一个初步实例。Orca旨在从多模态世界信号中学习一个统一的世界潜在空间，并通过多模态读取接口将其暴露出来。与传统的独立优化下一个词元、下一帧或下一个动作预测不同，Orca通过构建一个全面的世界模型来理解和表示复杂的现实世界信息，为未来的通用AI发展奠定基础。

Beyond IID: How General Are Tabular Foundation Models, Really?

👍 36

06/29 08:00

Foundation models for predictive machine learning on tabular data have recently gained significant traction in academia and industry. Research communities across disciplines are increasingly evaluating tabular foundation models on diverse datasets and tasks. However, these task- and discipline-speci

中文介绍 表格数据预测性机器学习的基础模型近期在学术界和工业界引起广泛关注，研究社区正积极在多样化数据集和任务上评估这些模型。然而，这项研究超越了独立同分布（IID）假设，深入探讨了表格基础模型在更普遍场景下的真实泛化能力，质疑其在面对非IID数据时的表现，旨在评估其在实际复杂应用中的鲁棒性和通用性。

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction

👍 2

06/29 08:00

4D hand motion reconstruction from egocentric video is bottlenecked by clear limitations of existing methods: image-based pipelines depend on a detector that fails under heavy occlusion, while video-based methods rely on temporal modules learned only from scarce hand-pose annotations, a narrow signa

中文介绍 从第一视角视频中重建4D手部运动面临瓶颈：基于图像的管道在严重遮挡下失效，而基于视频的方法依赖于稀缺手部姿态标注学习的时间模块。该研究发现视频扩散模型在手部运动重建方面表现出“惊人的有效性”，能够克服现有方法的局限性，特别是在处理遮挡和泛化能力方面，为高质量的4D手部运动重建提供了新的解决方案。

DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model

👍 8

06/29 08:00

We present DreamForge-World 0.1 Preview, a preview foundational world model for real-time interactive world simulation. The system adapts the LongLive 1 autoregressive video stack, itself derived from Wan2.1-T2V-1.3B, with a residual action pathway inspired by the Matrix-Game family. DreamForge-Worl

中文介绍 研究发布了DreamForge-World 0.1预览版，这是一个低计算量、实时可控的基础世界模型，专为交互式世界模拟而设计。该系统基于LongLive 1自回归视频堆栈（源自Wan2.1-T2V-1.3B）进行改造，并引入了受Matrix-Game系列启发设计的残差动作路径，旨在提供高效且可控的实时世界模拟能力，推动虚拟环境和AI智能体的发展。

TACO: Tool-Augmented Credit Optimization for Agentic Tool Use

👍 15

06/29 08:00

Agentic multimodal models perform diverse operations on an image via code and reason over the returned view, an effective paradigm for fine-grained visual question answering. However, code operations can be useful, redundant, or misleading. Outcome-only rewards cannot precisely distinguish these cas

中文介绍 智能体多模态模型通过代码对图像执行操作并进行推理，是细粒度视觉问答的有效范式。然而，代码操作可能有用、冗余或误导性，且仅基于结果的奖励难以精确分配功劳。该研究提出了TACO（工具增强信用优化）方法，旨在更有效地评估和优化智能体使用工具（如代码）的过程，从而提升其在复杂视觉推理任务中的决策能力和效率。

Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

👍 2

06/29 08:00

Generative molecular design is shaped by simple proxy benchmarks for drug-like properties and models pretrained on large pharmaceutical datasets. This combination yields strong benchmark metrics but limits transferability to domains structurally distinct from drug discovery. To overcome this limitat

中文介绍 生成式分子设计目前受限于药物特性代理基准和大型制药数据集预训练，导致其在结构上与药物发现不同的领域（如纳米技术）中可迁移性受限。为解决此问题，该研究提出了“纳米技术分子优化（NMO）基准”，旨在提供一个更广泛、更多样化的评估框架，以推动生成式分子设计在药物发现之外的纳米科技等新兴领域的应用和发展。

One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding

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06/29 08:00

MLLM-based GUI grounding methods commonly formulate target localization as autoregressive coordinate generation, enabling models to leverage the strong instruction-following and semantic understanding capabilities of MLLMs. However, this formulation requires the model to retain region-level target e

中文介绍 基于多模态大语言模型（MLLM）的图形用户界面（GUI）定位方法常将目标定位表述为自回归坐标生成，以利用MLLM的指令遵循和语义理解能力。然而，这种方法需要模型保留高分辨率特征以进行精细化。该研究提出了“InnerZoom”方法，通过一次前向传播即可实现准确高效的GUI定位，解决了传统方法在效率和资源消耗上的挑战。

Little Brains, Big Feats: Exploring Compact Language Models

👍 0

06/29 08:00

While large language models have been dominating the research landscape recently, small language models remain highly relevant across various domains; yet, they receive far less attention. In this study, we investigate how smaller language models perform during the generation stage within a Retrieva

中文介绍 尽管大型语言模型（LLM）近期主导了研究领域，但小型语言模型（SLM）在多个领域仍具高度相关性，却受关注较少。该研究探讨了小型语言模型在文本生成阶段的表现及其潜在能力。通过深入分析这些“小模型”的效率和效果，旨在证明它们在资源受限或特定应用场景下的巨大潜力，为优化部署和实现更普惠的AI技术提供新思路。

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation

👍 1

06/29 08:00

The advancement of generative AI models capable of producing text and image marks a critical step forward in the realm of multimodal intelligence, particularly for tasks involving the interleaving of both modalities. To advance this intelligence to the next stage, it is crucial for models to autonom

中文介绍 能够生成文本和图像的生成式AI模型在多模态智能领域取得了重要进展，尤其对于涉及文本与图像交错生成的任务。该研究旨在提出一个统一的多模态模型，以进一步提升这种能力，实现自由形式的图文交织内容生成。此模型对于推动跨模态理解与创作、赋能更高级的智能交互和内容生产具有关键意义，是通用人工智能发展的重要一步。

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes

👍 0

06/29 08:00

Metric feed-forward 3D reconstruction for panoramic data remains under-explored due to the lack of large-scale panoramic RGB-D training data. We present Realsee3D, a hybrid dataset of 10K indoor scenes (1K real, 9K synthetic) with 299K panoramic viewpoints and precise metric annotations, and Arg

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation

👍 4

06/29 08:00

Interactive video generation systems for camera-controlled world exploration roll out growing sequences of latent video frames, entangling state transition with high-frequency observation synthesis. We propose Walking in the Implicit, a scene-centric paradigm that changes the rollout variable from f

MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs

👍 0

06/29 08:00

Audiovisual arts encompass diverse creative disciplines, including cinema, visual arts, stage performance, and game design, where artistic meaning arises from deliberate combinations of visual, auditory, and narrative elements (e.g., fear amplified through claustrophobic framing, or grief conveyed t

Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting

👍 16

06/29 08:00

Recent advances in 3D Gaussian Splatting have demonstrated unprecedented success in novel view synthesis. However, the substantial inference and storage overhead driven by high-order Spherical Harmonics (SH) are primary bottlenecks for mobile platforms. In this paper, we present Flux-GS, a real-time

SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset

👍 0

06/29 08:00

Recent co-speech gesture generation methods often overlook cultural differences, limiting their effectiveness in human-agent interaction. Moreover, culture-conditioned models are rarely evaluated under speaker-disjoint splits, so apparent "cultural" behavior may be confounded with speaker-specific g

SWE-Together: Evaluating Coding Agents in Interactive User Sessions

👍 11

06/29 08:00

Most coding-agent benchmarks are static: an agent receives a complete task description up front and is judged only by its final code. Real coding assistance is interactive, with users clarifying goals, adding constraints, and correcting mistakes over multiple turns. We introduce SWE-Together, a mult

StrucTab: A Structured Optimization Framework for Table Parsing

👍 0

06/29 08:00

Table parsing aims to convert table images into structured, machine-readable representations, a task requiring the joint perception of complex spatial layouts and textual content. While recent vision-language models (VLMs) enable end-to-end parsing, they typically rely on direct supervision of the f

SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing

👍 3

06/29 08:00

In real-world applications, guardrails are often expected to identify unsafe user-model interactions according to application-specific safety policies, rather than relying on predefined risk taxonomies. In this work, we study this setting under the paradigm of in-context policy guardrailing, where g

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis

👍 6

06/29 08:00

We propose Nemotron-Labs-Diffusion-Image, a state-of-the-art masked discrete diffusion model (MDM) for high-resolution text-to-image synthesis. Compared with prior work on masked image generation, Nemotron-Labs-Diffusion-Image addresses two key challenges. First, unlike continuous diffusion models w

How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation

👍 0

06/29 08:00

Hallucination detection has become a pressing requirement for trustworthy AI deployment at scale. The most accurate detection methods depend on GPU-intensive inference, proprietary API calls, or white-box access to the generating model. This puts them out of reach for resource-constrained researcher

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment

👍 0

06/29 08:00

Blind image quality assessment (BIQA) is commonly built on two basic learning paradigms: regression and ranking. Regression calibrates absolute scores, whereas ranking recovers quality structure from ordinal relations. Although joint regression-ranking supervision often improves BIQA, the relation b

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World

👍 0

06/29 08:00

This paper addresses the problem of monocular metric depth estimation in aerial UAV imagery. Although recent data-driven methods have achieved remarkable progress in ground-level scenarios, models trained primarily on street-view and indoor datasets exhibit significant domain gaps when applied to ae

GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots

👍 10

06/29 08:00

Data, as the fundamental substrate of modern intelligence, has greatly driven the development of current foundation models. Naturally, researchers aim to extend this paradigm to the domain of GUI agents, hoping to build strong GUI agents through a similar paradigm. However, GUI agent data cannot be

PoseShield: Neural Collision Fields for Human Self-Collision Resolution

👍 1

06/29 08:00

Self-collision remains a persistent challenge in SMPL-based human pose estimation and motion generation. Under extreme articulations or stochastic motion synthesis, generated meshes frequently exhibit self-penetrations, leading to physically implausible results. We propose PoseShield, a neural colli

CAREBench: A Child-Safety Risk Benchmark for Language Models

👍 0

06/29 08:00

How can we evaluate whether frontier AI systems recognize child-safety risks before they escalate into explicit harm? Existing child safety evaluations focus on child sexual abuse material, yet many child-safety failures begin earlier: in model assistance that helps adults manipulate, impersonate, p

Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature

👍 6

06/29 08:00

The materials science literature encodes decades of experimental knowledge in figures, yet this visual record remains locked away and inaccessible to AI at scale. The core difficulty is structural: most scientific figures are compound, with a single caption describing multiple sub-panels simultaneou

Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit Dependence

👍 1

06/28 08:00

Current models of representational reliability in neural populations focus on temporal stability: whether population centroids are preserved across sessions and days. This framing leaves a fundamental question unanswered: how reliably does the pairwise distance structure among stimuli reproduce acro

Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model

👍 1

06/28 08:00

This study examines whether supervised fine-tuning remains necessary for Turkish sentiment analysis in the era of large language models. We compare classical machine learning methods, fine-tuned pretrained language models, and prompted large language models on a Turkish e-commerce review dataset wit

Cursor for iOS

07/01 05:20

Build with coding agents from anywhere

中文介绍 Cursor for iOS是一款移动应用程序，使用户能够利用AI编码代理随时随地进行软件开发。它将AI驱动的编程能力带到移动设备上，旨在提高开发者在非传统工作环境下的生产力，提供更灵活的编程体验。

Foresight by Lightning Rod

07/01 05:19

Predict anything with AI

中文介绍 Lightning Rod推出了AI工具Foresight，该产品是一个训练数据生成器，旨在帮助用户通过人工智能实现对任何事物的预测。它专注于生成高质量的训练数据，以提升AI模型的预测能力和应用范围，赋能更广泛的预测分析场景。

Pluno

07/01 05:19

Browser agent that’s 10x faster than Claude

中文介绍 Pluno是一款新型浏览器代理产品，其主要特点是运行速度比知名的AI模型Claude快10倍。该工具旨在通过显著提升处理效率，为用户提供更快速、更流畅的浏览器操作体验，尤其适用于需要高响应速度的交互场景和数据处理任务。

AgentPeek

07/01 05:11

Claude Code & Codex in your Mac notch

中文介绍 AgentPeek是一款专为Mac用户设计的工具，它能将AI编码助手Claude Code和Codex的功能直接整合到MacBook屏幕的“刘海”区域。用户可以通过这种独特且便捷的方式，实时获取AI驱动的代码辅助与建议，从而优化编程工作流程并提高效率。

Skills Marketplace by Databox

07/01 05:10

Ready-made AI analytics skills for your business data

中文介绍 Databox推出了名为「Skills Marketplace」的新平台，为企业提供即用型AI分析技能。这些预制技能旨在帮助企业用户更高效地处理和分析其业务数据，从而快速获取洞察，无需从头构建复杂的AI模型，显著简化数据分析流程。

Bilt.me - Figma

07/01 05:07

Get a real mobile app from your Figma design

中文介绍 Bilt.me是一款旨在简化应用开发流程的工具，它允许用户直接将Figma设计稿转换为功能完善的真实移动应用程序。这一服务大大缩短了从设计到实现的时间，使得设计师和开发者能够更高效地将UI/UX原型转化为可部署的产品，加速上市。

Oakamo

07/01 05:07

Your quiet space for reading articles later.

中文介绍 Oakamo是一款致力于提供宁静阅读体验的工具，旨在为用户创建一个专属的“稍后阅读”空间。它允许用户保存感兴趣的文章，并在不受干扰的环境中阅读，从而提升专注度和信息摄取效率，帮助用户更好地管理阅读内容。

Akiflow

07/01 05:05

Manage tasks and calendars from Claude, ChatGPT or Cursor

中文介绍 Akiflow是一款任务与日历管理工具，其独特之处在于支持从多个AI平台进行任务和日程安排管理。用户可以直接通过Claude、ChatGPT或Cursor等AI助手，来协调和规划他们的工作与生活，旨在提升个人生产力与效率，实现智能化日程管理。

Justwrite

07/01 05:02

A private, local-first writing space that works offline

中文介绍 Justwrite提供一个私密且“本地优先”的写作空间，强调用户数据的隐私保护和本地存储。该平台支持完全离线工作，确保用户即使在没有网络连接的情况下也能进行创作，为写作者提供一个专注于内容的无干扰环境，保障数据安全。

Brain2Qwerty v2

07/01 05:02

Decode sentences directly from non-invasive brain signals

中文介绍 Meta公司推出了Brain2Qwerty v2项目，该技术能够直接从非侵入式脑信号中解码完整的句子。这项创新研究旨在探索人机交互的新范式，通过分析大脑活动，实现无需物理输入设备即可进行文本生成，具有潜在的广泛应用前景，如辅助沟通。

Poweful Agents inside Slack

06/25 06:39

中文介绍 这段视频短片介绍了在Slack平台中部署功能强大的AI智能体。这些智能体能够协助用户完成各项任务，提高工作效率，实现自动化流程。

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

06/21 21:30

中文介绍 视频探讨了AI智能体领域的重大变革，这些变革将永久性地改变其发展方向。内容提到了GLM 5.2、Codex Skills、Claude以及Cursor等技术或产品在推动AI智能体能力提升方面的作用和影响。

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

大佬们， Linux kernel 漏洞频发需要升级的问题，你们是怎么处理的？

06/30 19:56

10 回复 · Linux 节点

和大模型斗智斗勇的一天天

06/30 18:54

6 回复 · 程序员 节点

都说内存不贵，人贵，放在 2026 还是吗

06/30 17:38

5 回复 · 程序员 节点

ESP32 开发板求推荐

06/30 16:28

17 回复 · 程序员 节点

這一年來跟著 AI 發展的心得

06/30 16:13

25 回复 · 程序员 节点

有没有上海联通网络下稳定的梯子，大家推荐一下

06/30 11:45

37 回复 · 程序员 节点

求大佬们推荐一些常用的 skill

06/30 11:34

10 回复 · 程序员 节点

苹果开发者即将到期，是否要续费

06/30 11:31

7 回复 · Apple 节点

国行 Mac 不要更新 27

06/30 10:59

17 回复 · Apple 节点

Mac 下有什么好用的能直接订阅 vless 的梯子客户端吗？

06/30 09:55

14 回复 · Apple 节点

I ported Kubernetes to the browser

07/01 04:48

https://github.com/ngrok/weberneteshttps://webernetes-demo.ngrok.app/

Morbid: Debunking Modern Longevity Science

07/01 04:17

https://archive.md/wSjtj

The best thing that's ever happened for multiplayer games?

07/01 03:59

11 points · 11 comments

Tokyo has only two barley tea makers, we visited one to see how mugicha is made

07/01 03:47

10 points · 2 comments

Tell HN: Installing Cursor on iOS irreversibly changes your privacy settings

07/01 02:33

Just hit this today and I'm furious. I installed the Cursor iOS app to see what it had.I've been on `Privacy Mode (Legacy)` for a long time, which is the "Do not store my code" setting. A year or so ago they marked this as "Legacy" and hid it under a "Extra options

Claude Sonnet 5

07/01 01:59

663 points · 348 comments

I built a mmWave material classification radar (2025)

07/01 01:29

101 points · 29 comments

Claude Science

07/01 01:07

270 points · 93 comments

Nano Banana 2 Lite

07/01 00:48

228 points · 84 comments

Crypto firms have spent $189M so far on 2026 US election, report says

07/01 00:44

189 points · 81 comments

Claude Code is steganographically marking requests

06/30 23:44

1078 points · 279 comments

Knoppix

06/30 20:54

205 points · 86 comments

Memoirs of Extraordinary Popular Delusions and the Madness of Crowds (1852)

06/30 20:47

148 points · 46 comments

Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)

06/30 18:34

128 points · 12 comments

CERN bids farewell to the LHC and enters Long Shutdown 3

06/30 02:52

https://www.nikhef.nl/en/news/final-run-for-the-current-lhc-...

Counterexamples in type systems (2021)

06/29 21:20

38 points · 1 comments

Reading the internals of Postgres: Database cluster, databases, and tables

06/29 20:59

26 points · 0 comments

How does a pull-back car work? Illustrated teardown

06/29 06:16

24 points · 6 comments

Building a custom octocopter from scratch with no prior hardware experience

06/28 12:17

287 points · 64 comments

I built a 10 inch mini rack from aluminium extrusions

06/28 07:45

31 points · 12 comments

Set up your own DoH (DNS over HTTPS) service

06/28 06:24

41 points · 16 comments

Stroustrup's Rule (2024)

06/28 05:01

4 points · 0 comments

A peek into Reddit's anti-spam internals

06/27 23:18

60 points · 9 comments

Waveloop: What Fable left me

06/27 07:29

27 points · 5 comments

SedonaDB 0.4: GPU-accelerated spatial joins

06/27 02:25

28 points · 4 comments

1.38 Millimeter Microcontroller

06/27 00:38

123 points · 85 comments

Matrix URIs, a URL syntax from Tim Berners-Lee that never shipped (1996)

06/26 23:15

30 points · 19 comments

Open Source Low Tech

06/26 14:35

607 points · 121 comments

A Fake Shell for Pangenomics

06/26 14:02

19 points · 1 comments

RF Hacking My Cloud-Controlled Ceiling Fan

06/24 22:13

15 points · 3 comments

v2.1.197

07/01 01:56

What's changed Introducing Claude Sonnet 5: now the default model in Claude Code, with a native 1M-token context window and promotional pricing of $2/$10 per Mtok through August 31. Update to version 2.1.197 for access. https://www.anthropic.com/news/claude-sonnet-5

中文介绍 Anthropic的Claude Code发布v2.1.197更新，并引入了Claude Sonnet 5作为默认模型。该模型原生支持100万上下文窗口，并提供推广期价格：每百万tokens输入2美元，输出10美元，优惠期截至8月31日。

v2.1.196

06/30 07:27

What's changed Added support for organization default models — admins set it in the org console; it shows as "Org default" (or "Role default") in /model when you haven't picked one yourself Added readable default names for sessions at start, making them easier to identify and message Added clickable

中文介绍 Anthropic的Claude Code发布v2.1.196更新，新增了组织默认模型支持，管理员可在组织控制台设置。当用户未选择模型时，该默认模型将显示为「组织默认」或「角色默认」。此外，新版本还为会话启动时增加了可读的默认名称。

v2.1.195

06/27 05:29

What's changed Added CLAUDE_CODE_DISABLE_MOUSE_CLICKS to disable mouse click/drag/hover in fullscreen mode while keeping wheel scroll Fixed hook matchers with hyphenated identifiers (e.g. code-reviewer, mcp__brave-search) accidentally substring-matching — they now exact-match. Use mcp__brave-search_

中文介绍 Anthropic的Claude Code项目发布了v2.1.195版本。主要更新包括：新增CLAUDE_CODE_DISABLE_MOUSE_CLICKS环境变量，允许在全屏模式下禁用鼠标点击、拖拽、悬停，但保留滚轮滚动；并修复了带连字符的钩子匹配器（例如「code-reviewer」），使其实现精确匹配。

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

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

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