每日简报

2026-06-25

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calesthio/OpenMontage

Python · ★ 19,227 · 🍴 2,188 · 📈 3,703 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 世界首个开源自主视频制作系统,整合12条流水线、52种工具和500多项Agent技能,能将AI编码助手转化为完整的视频制作工作室,涵盖从脚本到渲染的全流程。

ZhuLinsen/daily_stock_analysis

Python · ★ 48,431 · 🍴 42,943 · 📈 1,461 stars today

LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

中文介绍 LLM驱动的多市场股票智能分析系统,集成多源行情、实时新闻与决策看板,支持自动推送和零成本定时运行,适合个人投资者进行日常跟踪与决策辅助。

apple/container

Swift · ★ 42,160 · 🍴 1,234 · 📈 1,746 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 苹果开源的macOS容器工具,使用Swift编写,利用轻量级虚拟机在Apple Silicon上创建和运行Linux容器,为开发者提供高效、安全的本地容器化环境。

interviewstreet/hiring-agent

Python · ★ 2,120 · 🍴 595 · 📈 152 stars today

AI agent to evaluate and score resumes.

中文介绍 基于AI Agent的简历自动评估与打分系统,能够快速筛选候选人,提升招聘效率,适用于HR和招聘团队进行初选环节的自动化处理。

JCodesMore/ai-website-cloner-template

TypeScript · ★ 19,263 · 🍴 2,879 · 📈 693 stars today

Clone any website with one command using AI coding agents

中文介绍 一键利用AI编码代理克隆任意网站的模板工具,输入命令即可复制网站结构与样式,适合快速搭建原型或备份静态站点。

revfactory/harness

HTML · ★ 7,713 · 🍴 1,054 · 📈 274 stars today

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

中文介绍 一种元技能框架,用于设计领域特定的Agent团队,定义专业化Agent并自动生成它们所需的技能,帮助开发者构建高效协作的AI代理生态。

flutter/flutter

Dart · ★ 177,294 · 🍴 30,544 · 📈 200 stars today

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

中文介绍 Google开源的开源跨平台UI框架,使用Dart语言一套代码同时构建移动、Web、桌面等应用,以高性能和丰富的组件库著称,被广泛用于应用开发。

andreknieriem/headunit-revived

Kotlin · ★ 1,407 · 🍴 112 · 📈 62 stars today

Headunit App for displaying Android Auto

中文介绍 用于在车载屏幕上显示Android Auto界面的Headunit应用,可将手机导航、音乐等功能投射到车载中控,提升驾驶体验。

stablyai/orca

TypeScript · ★ 6,741 · 🍴 487 · 📈 387 stars today

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop and mobile.

中文介绍 并行Agent开发环境(ADE),支持用户通过自有订阅同时运行多个编码Agent,提供桌面和移动端,适合开发者大规模调度和管理AI代理。

google-labs-code/design.md

TypeScript · ★ 17,275 · 🍴 1,566 · 📈 504 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 谷歌实验室提出的规范格式,用于向编码Agent描述视觉设计系统。通过DESIGN.md文件,Agent能持久理解配色、字体等设计规则,保证生成内容符合品牌形象。

Flowseal/zapret-discord-youtube

Batchfile · ★ 30,024 · 🍴 2,341 · 📈 103 stars today

中文介绍 用于绕过网络限制访问Discord和YouTube的工具,提供代理或修改网络配置功能,帮助用户在受限环境下正常使用这些服务。

kunchenguid/no-mistakes

Go · ★ 2,018 · 🍴 139 · 📈 182 stars today

git push no-mistakes

中文介绍 辅助Git提交时防止错误的工具,通过在推送前执行检查或拦截操作,减少因误提交引入的问题,适用于代码质量控制。

NousResearch/hermes-agent

Python · ★ 202,015 · 🍴 36,099 · 📈 1,174 stars today

The agent that grows with you

中文介绍 一个能够随着用户使用而持续学习和进化的AI代理,通过交互积累偏好与知识,提供个性化智能助手体验。

Qwen-AgentWorld: Language World Models for General Agents

👍 85

A world model predicts environment dynamics based on current observations and actions, serving as a core cognitive mechanism for reasoning and planning. In this work, we investigate how world modeling based on language models can further push the boundaries of general agents. (i) We first focus on b

中文介绍 提出Qwen-AgentWorld框架,基于语言模型构建世界模型用于通用智能体推理和规划。通过预测环境动态,提升智能体在复杂任务中的决策能力。

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?

👍 47

We introduce NatureBench, a cross-discipline benchmark of 90 tasks distilled from peer-reviewed Nature-family publications, designed to evaluate whether AI coding agents can move beyond reproduction toward discovery on real scientific problems. NatureBench is built on NatureGym, an automated pipelin

中文介绍 发布NatureBench跨学科基准,包含90个来自Nature系列论文的任务,用于评估编码智能体在真实科学问题上的发现能力。基于NatureGym自动化流水线构建,推动AI从复现走向科学发现。

MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization

👍 34

MLLM-based mobile GUI agents have made substantial progress in UI understanding and action execution, but adapting them to real target apps remains costly because mobile apps are numerous, frequently updated, and hard to cover with human-written tasks, demonstrations, or reward labels. Existing anno

中文介绍 提出MobileForge,一种无需标注的移动GUI智能体自适应方法。利用分层反馈引导策略优化,使MLLM智能体无需人工编写任务或标注即可适应真实目标应用。

MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management

👍 33

MLLM-based mobile GUI agents have made substantial progress on short-horizon tasks, yet remain unreliable on long-horizon tasks that require retaining intermediate facts across many steps and app transitions. We attribute this limitation to ReAct-style prompting, which passively accumulates per-step

中文介绍 提出MemGUI-Agent,端到端长时移动GUI智能体,通过主动上下文管理解决多步任务中的中间事实遗忘问题,优于ReAct式被动累积策略。

AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction

👍 25

AI agents are driving a new software paradigm, with the ability to autonomously call tools, extract information, manage memory, and complete tasks that span applications and data sources. Most existing end-user operating systems, however, are designed for application-centric workflows and offer litt

中文介绍 提出AOHP,开源操作系统级智能体框架,支持个性化、高效、安全的交互。通过统一工具调用、信息提取和内存管理,实现跨应用与数据源的自主任务完成。

OpenThoughts-Agent: Data Recipes for Agentic Models

👍 25

Agentic language models dramatically expand the applications of AI yet little is publicly known about how to curate training data for broadly capable agents. Existing open efforts such as SWE-Smith, SERA, and Nemotron-Terminal typically target a single benchmark, leaving open the question of how to

中文介绍 提出OpenThoughts-Agent,探索面向通用智能体的训练数据配方。通过跨基准数据混合策略,解决现有开放努力仅针对单一基准的问题,提升智能体广泛能力。

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language

👍 20

We present BioMatrix, the first multimodal foundation model that natively integrates sequences, structures, and natural language for both molecules and proteins within a single decoder-only architecture. Existing biological foundation models pursue native multimodality and broad entity coverage sepa

中文介绍 提出BioMatrix,首个多模态基础模型,在单一解码器架构中原生整合序列、结构和自然语言,覆盖分子和蛋白质。实现实体覆盖与多模态的统一。

LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis

👍 19

Mental disorders are highly prevalent worldwide, but the shortage of psychiatrists and the inherent subjectivity of interview-based diagnosis create substantial barriers to timely and consistent mental-health assessment. Progress in AI-assisted psychiatric diagnosis is constrained by the absence of

中文介绍 提出LingxiDiagBench,多智能体框架用于评估LLM在中文精神科咨询与诊断中的表现。弥补AI辅助诊断缺乏高质量基准的空白,促进精神健康评估。

Semantic Browsing: Controllable Diversity for Image Generation

👍 13

Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at the cost of diversity: generated samples tend to collapse into a single visual interpretation. Existing methods to improve diversity produce outputs driven by incidental variations rath

中文介绍 提出Semantic Browsing方法,实现文本到图像生成中的可控多样性。通过语义层次控制,避免现有方法仅产生偶然变化,增强生成图像的视觉多样性。

FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation

👍 13

Generating explorable 3D scenes from a single image requires strong generative priors and accurate geometric representations suitable for downstream use. Current video diffusion models offer high-quality generation and implicitly encode multi-view geometric structure in latent space. However, existi

中文介绍 提出FLAT(前馈潜变量三角形溅射),从单张图像生成几何准确的3D场景。利用视频扩散模型隐式编码多视图几何结构,提升生成场景的准确性和可探索性。

Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills

👍 10

Scientific discovery workflows usually contain and rely heavily on lab notes, where researchers record observations, interpret uncertain results, and plan follow-up experiments. Such informative lab notes preserve evolving scientific reasoning and author uncertainty, rather than polished final resul

中文介绍 提出Notes2Skills,从实验室笔记中提取不确定感知的科学智能体技能。保留研究者记录的不确定性和推理过程,将原始笔记转化为可执行的智能体能力。

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning

👍 8

Experience-driven self-evolution is critical for large language model (LLM) agents to improve through open-world interaction. However, existing experience learning methods mostly rely on single-agent loops, where the same agent executes tasks, summarizes outcomes, and determines memory content. This

中文介绍 提出执行-蒸馏-验证(Execute-Distill-Verify)范式,打破单智能体闭环中的自我确认陷阱。通过分离执行、经验提炼和验证,提升LLM智能体在开放世界中经验学习的可靠性。

Critique of Agent Model

👍 7

What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', and other ``agentic" tools that promise to drive up productivity, and at the same time, ``existential" concerns such as AI escaping human control with d

中文介绍 对LLM驱动的智能体概念进行批判性分析,探讨“智能体”定义及其在生产力和安全方面的含义,为理解当前AI系统提供理论框架。

Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs

👍 7

Open-weight Large Language Models (LLMs) enable scientific progress and broad deployment. However, they make it difficult to control access to sensitive capabilities. Current practice either suppresses dangerous capabilities before release or mediates access through closed services that use speciali

中文介绍 提出分离公开与私有能力的方法,使得开放权重LLM在保留科学进步的同时,控制敏感能力的访问。通过训练时隔离能力,实现风险可控的部署。

Vera: A Layered Diffusion Model for Content-Preserving Video Editing

👍 6

Video diffusion models have enabled remarkable progress in video generation and editing. However, content preservation remains a core challenge: existing methods regenerate every pixel and often alter elements that should remain unchanged, such as characters or background scenes. We introduce Vera,

中文介绍 提出Vera,分层扩散模型用于视频编辑,保持内容不变(如角色、背景)。通过分层结构确保仅修改目标区域,避免重新生成整个像素带来的内容损失。

Counsel: A Meta-Evaluation Dataset for Agentic Tasks

👍 6

As agentic systems tackle increasingly complex multi-step tasks, evaluating their trajectories presents a major bottleneck - human annotation of a single trajectory on popular agentic benchmarks can take hours, making it difficult to scale evaluations for measuring performance or curating training d

中文介绍 提出Counsel,智能体任务元评估数据集。针对复杂多步轨迹提供高效评估方案,减轻人工标注瓶颈,支持自动性能度量与训练数据筛选。

Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning

👍 5

Text-to-image (T2I) generation models have achieved remarkable progress in producing visually realistic images from natural language prompts. Yet it remains unclear whether their success reflects genuine causal understanding or sophisticated pattern matching over visual-textual correlations. Inspire

中文介绍 构建反事实基准,评估文本到图像模型的因果推理能力。发现现有T2I模型依赖视觉-文本相关性而非真正因果理解,揭示其归纳式学习局限。

Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning

👍 4

Long-context reasoning is an essential capability for large language models, particularly when they are deployed as autonomous agents that must reason over lengthy trajectories. Reinforcement learning (RL) has recently emerged as a dominant paradigm for improving this ability, yet existing work larg

中文介绍 提出面向长上下文强化学习的数据配方,超越传统奖励工程。通过精心设计的训练数据,提升LLM在长篇轨迹推理中的强化学习效果。

Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild

👍 4

Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observations with data-driven priors over geometry and appearance. Prior approaches either learn to directly predict 4D representations from visual input or initialize a 3D representation that

中文介绍 提出Lift4D,从单目视频重建动态非刚体4D表示。融合直接观测与数据驱动先验,实现野外场景下的高质量4D重建。

VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct

👍 3

Scaling reinforcement learning for visual mathematical reasoning requires more than generating harder questions: as data volume grows, the reward labels themselves must remain reliable. Yet existing data pipelines scale supervision while trusting the labeller, and policy-side methods assume the unde

中文介绍 提出VeriEvol,通过可验证进化指令扩展多模态数学推理的强化学习。在生成更难问题的同时保证奖励标签可靠性,提升视觉数学推理能力。

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

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 AI 硬件投资热潮下(2026 年超 6900 亿美元),比较生物细胞与 GPU 运行相同算法的效率差距,探讨计算能耗与性能的底层差异。

Introducing Engram: Scaling compute on your context

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

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

中文介绍 Engram 发布可理解用户工作上下文的 AI 产品,通过持续学习实现个性化计算扩展,试图解决模型仅依赖训练数据而缺乏真实理解的问题。

30 Core Agentic Engineering Concepts Every Developer Should Know

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

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 列举 30 个核心代理工程概念,面向开发者强调底层工程而非炒作,帮助理解 AI agent 真实工作原理。

ORACLE: Official AI Agents Trade on Polymarket

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

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 成为 Polymarket 官方 AI 代理交易系统,目前预测市场超过 30% 的活动来自算法和 AI 钱包。

Why we're bullish on loops

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

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 力挺「循环」概念:OpenClaw 和 Claude Code 的创作者均认为,agent 应基于循环而非简单提示词来运行。

ORACLE: Official AI Agents Trade on Polymarket

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

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 成为 Polymarket 官方 AI 代理交易系统,目前预测市场超过 30% 的活动来自算法和 AI 钱包。

Interactions API: Our primary interface for Gemini models and agents

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

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 Google AI Studio 宣布 Interactions API 正式可用,成为与 Gemini 模型及 agent 交互的主要接口,取代原有方案。

ORACLE: Official AI Agents Trade on Polymarket

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

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 成为 Polymarket 官方 AI 代理交易系统,目前预测市场超过 30% 的活动来自算法和 AI 钱包。

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

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 后端开发者 Roan 详解如何用循环工程构建自我改进的量化交易系统,实现全自动运行。

Subnets mine TAO; TAO mines Subnets

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

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 Bittensor 子网与 TAO 的互挖机制升级:子网挖 TAO 的同时,TAO 也在挖子网,影响子网所有者及动态 TAO 系统。

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

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

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 构建了全球最快的 GLM-5.2 API,该开源模型性能媲美 GPT 5.5 和 Opus 4.8,但成本低 70–80%。

Loop Engineering Clearly Explained

@akshay_pachaar · 278.2K 粉丝 · 44.0K 阅 · 504 赞 · 72 转

Half your feed is suddenly saying the same thing. Stop prompting your agents, start engineering loops. Boris Cherny, the person who built Claude Code, said it plainly: "I don't prompt Claude anymore.

中文介绍 图文解释「循环工程」:引用 Claude Code 创建者 Boris Cherny 的「不再写 prompt,转向工程化循环」观点,指导 agent 工作方式革新。

Introducing computer use in Gemini 3.5 Flash

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

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 Gemini 3.5 Flash 内置计算机使用工具,作为 agent 操作电脑任务的官方能力,性能超越此前独立版本。

Building a skill optimization loop

@zachlloydtweets · 11.2K 粉丝 · 39.2K 阅 · 504 赞 · 68 转

This post shows how to create a loop with automated feedback that an agent can run to optimize its own Skills. It uses an automated grader with computer use to assess how well a Skill is performing,

中文介绍 讲解如何构建技能优化循环:agent 通过自动评分器(结合计算机使用)评估技能表现,实现自动化自我改进。

How does vLLM work?

@amitiitbhu · 23.6K 粉丝 · 35.7K 阅 · 514 赞 · 63 转

In this blog, we will learn about how vLLM works. We will also see why we need it, how it manages memory so cleverly, and where it is used in the real world to serve large language models to many

中文介绍 深入解析 vLLM 工作原理:为何需要它、如何巧妙管理显存,以及在真实场景中为 LLM 提供服务的应用方式。

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

In a rare double-interview, the Databricks technical leaders riff on what it will take for every company to build Agent Clouds

中文介绍 Databricks技术领导者Matei Zaharia和Reynold Xin在罕见双人访谈中探讨前沿生态系统必须开放的原因,并讨论每家公司构建Agent Cloud所需的条件。

The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of

中文介绍 AI蓬勃发展需要大规模数据,但许多信息被封锁或非结构化,限制模型使用。文章探讨了应对这一挑战的网络数据基础设施层的出现。

OpenAI and Broadcom unveil LLM-optimized inference chip

OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.

中文介绍 OpenAI与博通联合推出Jalapeño定制AI芯片,专为大语言模型推理优化,旨在提升性能、效率和可扩展性。

How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery

GPT-5 Pro helped solve a 3-year-old immunology mystery, offering insights into T cell behavior. The breakthrough could support cancer and autoimmune research.

中文介绍 GPT-5 Pro帮助免疫学家Derya Unutmaz解决一个持续三年的免疫学谜题,揭示T细胞行为新见解,可能支持癌症和自身免疫疾病研究。

Helping build shared standards for advanced AI

OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation.

中文介绍 OpenAI通过Appia基金会助力建立先进AI共享标准,支持评估框架、安全实践和全球合作。

The $400 million machine powering the future of chipmaking

Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground

中文介绍 ASML推出价值4亿美元的新机器,尺寸如双层巴士,重超150吨,采用精密铣削铝材和数千根管道电缆,将推动芯片制造未来。

[AINews] SpaceX is already a $28B/yr Neocloud

a quiet day lets us reflect on some numbers from Jamin Ball.

中文介绍 根据Jamin Ball数据,SpaceX已成为年收入280亿美元的Neocloud(新云服务提供商),引发对云基础设施格局的反思。

not much happened today

**Anthropic** launched **Claude Tag**, a Slack-native integration enabling asynchronous, teamwide delegation to Claude, positioning it as a "multiplayer, async, and proactive" workflow layer distinct from the solo, synchronous **Claude Code**. Internally, Claude Tag has been used to write and merge

中文介绍 Anthropic发布Claude Tag,一个Slack原生集成,支持异步团队委托,定位为多玩家、异步、主动的工作流层,与单用户同步的Claude Code不同。

How Omio is building the future of conversational travel

Discover how Omio uses OpenAI to power conversational travel experiences, accelerate product development, and transform into an AI-native company.

中文介绍 Omio利用OpenAI打造对话式旅行体验,加速产品开发,转型为AI原生公司,重塑旅行预订流程。

市场总览

当前市场技术面呈现显著分化,避险情绪浓厚。美股方面,SPY和QQQ虽维持多头排列,但价格已跌破20日均线,RSI回落至45-47的偏弱区间,短期动能衰减。加密市场极度恐慌,恐慌贪婪指数仅17(极度恐慌),BTC、ETH、SOL全面处于空头排列,RSI在30-40之间,价格远低于所有均线,趋势承压。中概股普遍深陷超卖,BABA、PDD、JD的RSI在19-27之间,价格接近52周低点,空头排列明显,连续下跌。商品外汇方面,黄金和原油暴跌,RSI分别降至30和25.7,进入超卖区域;美元指数DXY则强势上行,RSI超买至75.4,价格站上所有均线并接近52周高点,形成多头排列。资金明显流向美元,其他资产承压。

今日关注

DX-Y.NYB 美元指数 DXY
偏上行

美元指数当前101.41,RSI 14高达75.4(超买区),MACD金叉(0.4914 > 0.345),价格高于sma20(99.79)、sma50(99.02)及sma200(98.71),呈多头排列,距52周高仅-0.38%。短期动量强劲但超买,整体技术setup偏上行。

BABA 阿里巴巴 (BABA)
偏下行

BABA当前99.8,RSI 14仅19.4(深度超卖),价格远低于sma20(116.73)、sma50(127.79)、sma200(148.71),空头排列持续,MACD绿柱-7.46低于信号线-5.94呈死叉,近5日跌幅-10.07%,距52周低仅0.71%。技术面极度弱势,短期超卖但趋势未改。

NVDA Nvidia
中性

NVDA当前199,RSI 14为41.8(正常偏弱),价格略低于sma20(209.69)和sma50(210.23)但高于sma200(190.39),趋势标记为neutral。MACD死叉(-2.2567 < -0.911),但差值不大,无明确突破信号。多空分歧,技术setup中性。

全部资产

^VIX

VIX 恐慌指数

$18.63 -4.41%
5 日
+13.53%
距 52w 高
-47.2%
RSI(14)
51.9
趋势
中性
SMA 20 / 50 / 200
17.66 / 17.76 / 18.61
MACD / 信号
0.080 / -0.024
死叉(SMA50↓SMA200) (9 天前)MACD 金叉 (1 天前)

^TNX

10Y 美债收益率 (%)

$4.40 -1.10%
5 日
-1.89%
距 52w 高
-11.9%
RSI(14)
42.4
趋势
中性
SMA 20 / 50 / 200
4.48 / 4.43 / 4.22
MACD / 信号
-0.003 / 0.013

DX-Y.NYB

美元指数 DXY

$101.41 +0.39%
5 日
+1.79%
距 52w 高
-0.4%
RSI(14)
75.4
趋势
多头
SMA 20 / 50 / 200
99.79 / 99.02 / 98.71
MACD / 信号
0.491 / 0.345
MACD 金叉 (3 天前)RSI 超买接近 52 周高多头排列

SPY

S&P 500 ETF

$733.24 -0.05%
5 日
-2.28%
距 52w 高
-3.6%
RSI(14)
45.7
趋势
多头
SMA 20 / 50 / 200
745.69 / 732.97 / 689.72
MACD / 信号
1.510 / 3.988
多头排列

QQQ

Nasdaq 100 ETF

$710.62 -0.42%
5 日
-2.64%
距 52w 高
-5.1%
RSI(14)
47.8
趋势
多头
SMA 20 / 50 / 200
726.87 / 699.66 / 630.84
MACD / 信号
6.117 / 9.427
多头排列

AAPL

Apple

$293.08 -0.41%
5 日
-2.06%
距 52w 高
-7.7%
RSI(14)
45.8
趋势
多头
SMA 20 / 50 / 200
301.51 / 290.82 / 269.03
MACD / 信号
0.167 / 1.896
多头排列

MSFT

Microsoft

$365.46 -2.27%
5 日
-7.20%
距 52w 高
-34.2%
RSI(14)
32.4
趋势
空头
SMA 20 / 50 / 200
405.80 / 412.54 / 449.34
MACD / 信号
-12.438 / -7.438
接近 52 周低空头排列

NVDA

Nvidia

$199.00 -0.52%
5 日
-4.05%
距 52w 高
-15.9%
RSI(14)
41.8
趋势
中性
SMA 20 / 50 / 200
209.69 / 210.23 / 190.39
MACD / 信号
-2.257 / -0.911

GOOGL

Alphabet

$345.29 -0.24%
5 日
-7.49%
距 52w 高
-15.5%
RSI(14)
37.0
趋势
中性
SMA 20 / 50 / 200
365.71 / 369.05 / 312.82
MACD / 信号
-5.403 / -2.562

TSLA

Tesla

$375.53 -1.59%
5 日
-7.20%
距 52w 高
-24.7%
RSI(14)
39.1
趋势
空头
SMA 20 / 50 / 200
407.93 / 404.79 / 417.66
MACD / 信号
-6.052 / -2.495
空头排列

META

Meta

$557.67 -0.81%
5 日
-7.09%
距 52w 高
-30.0%
RSI(14)
37.8
趋势
空头
SMA 20 / 50 / 200
592.16 / 617.72 / 652.14
MACD / 信号
-14.061 / -11.575
空头排列
加密恐慌贪婪
17
极度恐慌
加密总市值
$2.18 T
-2.33% / 24h
BTC 主导率
55.9%
ETH 8.9%
24h 成交量
$94.2 B
活跃币 17,405

BTC-USD

Bitcoin

$60,802.07 -2.98%
5 日
-4.31%
距 52w 高
-51.8%
RSI(14)
32.8
趋势
空头
SMA 20 / 50 / 200
63,304.73 / 71,061.22 / 76,306.82
MACD / 信号
-2,084.766 / -2,309.714
接近 52 周低空头排列

ETH-USD

Ethereum

$1,615.10 -3.02%
5 日
-5.60%
距 52w 高
-67.4%
RSI(14)
33.6
趋势
空头
SMA 20 / 50 / 200
1,686.55 / 1,950.49 / 2,342.82
MACD / 信号
-69.009 / -78.995
空头排列

SOL-USD

Solana

$67.88 -2.53%
5 日
-2.64%
距 52w 高
-73.2%
RSI(14)
40.0
趋势
空头
SMA 20 / 50 / 200
68.71 / 78.85 / 96.43
MACD / 信号
-1.845 / -2.432
空头排列

BABA

阿里巴巴 (BABA)

$99.80 -2.73%
5 日
-10.07%
距 52w 高
-48.2%
RSI(14)
19.4
趋势
空头
SMA 20 / 50 / 200
116.73 / 127.79 / 148.71
MACD / 信号
-7.461 / -5.942
RSI 超卖接近 52 周低空头排列

PDD

拼多多 (PDD)

$75.74 -1.07%
5 日
-7.17%
距 52w 高
-45.7%
RSI(14)
26.9
趋势
空头
SMA 20 / 50 / 200
82.50 / 92.34 / 109.88
MACD / 信号
-4.393 / -4.103
RSI 超卖接近 52 周低空头排列

JD

京东 (JD)

$25.48 -2.45%
5 日
-10.22%
距 52w 高
-30.9%
RSI(14)
25.5
趋势
空头
SMA 20 / 50 / 200
28.40 / 29.92 / 30.17
MACD / 信号
-0.984 / -0.686
RSI 超卖空头排列

0700.HK

腾讯控股 (0700.HK)

HK$428.80 +3.38%
5 日
-4.16%
距 52w 高
-37.2%
RSI(14)
41.1
趋势
空头
SMA 20 / 50 / 200
446.90 / 464.46 / 563.29
MACD / 信号
-8.584 / -6.311
MACD 死叉 (2 天前)空头排列

GC=F

黄金期货

$4,010.90 -2.88%
5 日
-7.39%
距 52w 高
-28.2%
RSI(14)
30.0
趋势
中性
SMA 20 / 50 / 200
4,314.76 / 4,518.83 / 4,444.17
MACD / 信号
-113.023 / -97.882
MACD 死叉 (2 天前)

CL=F

WTI 原油期货

$69.90 -4.52%
5 日
-8.09%
距 52w 高
-41.5%
RSI(14)
25.7
趋势
中性
SMA 20 / 50 / 200
85.04 / 92.81 / 73.81
MACD / 信号
-6.151 / -4.524
RSI 超卖

USDCNY=X

美元 / 人民币

¥6.81 +0.30%
5 日
+0.78%
距 52w 高
-5.6%
RSI(14)
65.4
趋势
中性
SMA 20 / 50 / 200
6.77 / 6.79 / 6.95
MACD / 信号
-0.003 / -0.009
接近 52 周低
风险提示

过去走势不代表未来表现,本报告基于公开行情数据的技术指标客观解读,仅供技术指标解读参考,不构成任何投资建议或预测。

Australia politics live: Angus Taylor rejects Japan comparison amid multiculturalism debate; Hanson offers Stefanovic a post-Nine job

Opposition leader says he wants ‘Australia to look like Australia’. Follow today’s news live Get our breaking news email, free app or daily news podcast Mike Burgess says he’s really concerned about the level some nation-states, like Iran, could go to cause harm against Australians. Speaking to ABC

中文摘要 澳大利亚反对党领袖安格斯·泰勒在多元文化辩论中否认与日本比较的言论,主张“澳大利亚应该看起来像澳大利亚”。同日,ASIO总干事迈克·伯吉斯对伊朗等国家可能对澳造成危害的级别表示担忧。

Venezuela Hit by 7.1-Magnitude Earthquake

Residents in Caracas, the capital, said the quake shook buildings and knocked out electricity. Images showed damaged buildings and people congregating in the streets.

Four in five under-16s in Australia using social media despite ban, study shows

Experts say law not enough to stop children accessing harmful content online and more ‘convincing strategy is required’ More than 80% of under-16s in Australia said they were still using social media three months after legislation banning them from it came into force, research shows. Australia is th

Israel says IDF is staying in southern Lebanon, undermining Iran peace talks

Defence minister says troops not withdrawing though Tehran sees end to war in Lebanon as part of deal with US The Israeli defence minister, Israel Katz, has said that Israeli troops would not withdraw from southern Lebanon, further complicating Iran peace talks as fighting in Lebanon continues to be

France Identifies Its First Case of Ebola

A doctor who had traveled to the Democratic Republic of Congo was infected, the French health ministry said. The authorities said the risk to the wider population was low.

The legal fight to get equal pay for Germany's disabled workers

A test case is seeking the minimum wage for 300,000 disabled people who currently get paid less.

中文摘要 德国一起测试性法律案件寻求为30万残疾工人争取最低工资,他们目前薪酬低于法定标准。

VAT cut on theme parks and kids' meals comes into force

The government will reduce tax from 20% to 5% on a range of attractions as schools begin to break-up.

中文摘要 英国政府对主题公园和儿童餐等景点减税,增值税从20%降至5%,适用于学校假期期间。

Jinko Solar Eyes Breakeven This Year as China Moves to Ease Glut

Jinko Solar Co., one of the top five solar manufacturers in China, is looking to recoup expenses this year, as government measures alleviate the chronic overcapacity that has plunged the sector into more than two years of deep losses.

中文摘要 中国前五大光伏制造商之一晶科能源预计今年实现盈亏平衡,得益于政府缓解长期产能过剩的措施,该行业已深陷两年多亏损。

Japan’s LNG Stocks Seen to Benefit from Middle East Supply Risk

Japanese liquefied natural gas-related stocks stand to benefit from rebuilding war-damaged energy infrastructure in the Persian Gulf and the construction of new facilities elsewhere to diversify away from the Middle East.

中文摘要 日本液化天然气相关股票预计受益于波斯湾战后能源基础设施重建,以及中东以外新设施建设以分散供应风险。

Texas family sues Tesla over fatal crash into home

A woman in her 70s was killed after a Tesla crashed directly into the family’s home.

中文摘要 德克萨斯州一个家庭起诉特斯拉,此前一辆特斯拉径直撞入其房屋,导致一名70多岁女性死亡。

Jamieson Wellness Explores Selling Itself, Taps BMO and Canaccord to Advise

Jamieson Wellness Inc., the Canadian vitamins and supplements maker, is working with Bank of Montreal and Canaccord Genuity Group Inc. to explore a sale, according to people familiar with the matter.

中文摘要 加拿大维生素和补充剂制造商Jamieson Wellness正与蒙特利尔银行和Canaccord Genuity合作,探索出售事宜。

Micron posts 15-fold profit surge as AI companies clamour for chips

Shares rally in after-hours trading as chipmaker forecasts sustained demand for computer memory

中文摘要 美光科技因AI公司对芯片需求激增,利润同比增长15倍。盘后股价上涨,公司预计计算机内存需求将持续。

Plastics Shortages to Keep Food Prices High After War Disruptions

Asian consumers will be facing higher grocery bills for months thanks to costly packaging stemming from the Iran war, which created severe shortages of plastics needed to get food from farms to market.

中文摘要 由于伊朗战争导致塑料严重短缺,食品包装成本上升,亚洲消费者未来数月将面临更高的食品杂货价格。

US Stock Futures Surge on Micron’s Strong Forecast: Markets Wrap

US share futures gained after Micron Technology Inc.’s upbeat outlook reignited confidence in the artificial-intelligence trade, helping fuel a late rally on Wall Street.

中文摘要 美国股指期货上涨,美光科技乐观展望重燃对人工智能交易信心,推动华尔街尾盘反弹。

Oil Extends Drop to Erase Most of Wartime Gains as Supply Swells

Oil extended declines and is close to erasing its wartime price gains on signs of swelling supply and progress on a US-Iran peace deal.

中文摘要 油价延续跌势,几乎抹去战时涨幅,因供应增加及美伊和平协议取得进展的迹象。

【不是推广】MIMO不限量公益

不是推广!!! https://platform.ai.hixinghai.top 求求了 中转站有调用榜单 我想登榜 用的越多越好 17 个帖子 - 15 位参与者 阅读完整话题

分享自用的 gpt-image-2 生图+超分 4K 8K 均可 一键满足客户端要求的尺寸

本帖使用社区开源推广,符合推广要求。我申明并遵循社区要求的以下内容: 我的帖子已经打上 开源推广 标签: 是 我的开源项目完整开源,无未开源部分: 是 我的开源项目已链接认可 LINUX DO 社区: 是 我帖子内的项目介绍,AI生成、润色内容部分已截图发出: 是 以上选择我承诺是永久有效的,接受社区和佬友监督: 是 以下为项目介绍正文内容,AI生成、润色内容已使用截图方式发出 我一直有高分辨率图片的需求,制作海报,宣传图,菜品图等。gpt-imgae-2在这方面非常给力,基本一两次就能生出我满意的图片。 之前还能生成接近4K的图片,刚好符合我的需求。 可是,最近欧特曼又作妖,把网页和code

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还是先叠甲,我反对任何占用一直不使用的行为,如果出现后续的封号后果自负。 我个人是纯正常使用的。 还是给进来的简单的说一下把,首先你对今天的任务要有明确的规划需求,至少知道你想要做什么,且有足够的余额(不过大家的剩余余额应该都够) any有一个大概4min左右的粘性会话机制,只要你的下一个问题落在这个时间点就可以不用再挤进去一遍。 那么要做的就很简单了,在上午1-8点之间几乎不用挤,那么我们可以先让ai生成一份今日要做事情的/goal目标规划,并设计为只要完成,即输出任务完成字样,将其存储在一个md文件中。 之后让一个ai生成一份轮询,保证上一个goal完成后,3min内填充入新的目标。 后面

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公益站GLM-5.2只在凌晨流畅,就这仰卧起坐的白天可用性都跑了1000刀???? 42 个帖子 - 37 位参与者 阅读完整话题

gpt-5.5的前端被glm-5.2暴打

自己在迭代自己的skill,于是向看看标准的效果。 同用frontend-design的skill, 然后这是gpt的 这是glm的 gpt依旧大卡片依旧用前端当readme用 蒸了不少啊(I’m串子 (不过扣套餐可是你一辈子还不完的债哦,不干翻肥波我就不原谅你(傲娇~) 快做啊glm!!! 32 个帖子 - 25 位参与者 阅读完整话题

第一次在L站中奖就中了小米手环9Pro!

日常摸鱼看L站的时候发现了佬友的抽奖 @kaibush,之前因为参加了很多gpt的team抽奖都没中,还被非必要不抽奖了,所以我最开始还是不敢评论的,但是思虑再三还是想着试一试。 29 个帖子 - 23 位参与者 阅读完整话题

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662+10分民族分 672走国家专项应该可以去c9 数学有点低了 有点拉分 多亏了佬们指导 高三学生 最后两个月要怎么学 86 个帖子 - 67 位参与者 阅读完整话题

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今天过生日,家里人也忘了,女朋友也忘记了,手机一天没消息,就我觉得玩的很好的兄弟们,好朋友们,也没消息,大概是我太敏感了吧,但他们生日我都有备注,都记着,还定了日期闹钟,为什么就我自己,感觉唉 62 个帖子 - 59 位参与者 阅读完整话题