Python · ★ 138,337 · 🍴 9,421 · 📈 3,034 stars today
Python tool for converting files and office documents to Markdown.
中文介绍 微软开源的 Python 工具，支持将 Word、Excel、PowerPoint、PDF 等各类 Office 文档及常见文件格式批量转换为 Markdown 文本。适合需要将企业文档接入 LLM 处理流程的开发者，解决了文档格式多样导致的预处理繁琐问题，是构建 RAG 知识库和文档自动化管道的实用工具。
Python · ★ 11,272 · 🍴 1,449 · 📈 945 stars today
Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!
中文介绍 Hermes Agent 的 Web 前端界面，提供浏览器和手机端访问入口，让用户无需命令行即可与 Hermes 智能体交互。界面设计注重移动端适配，适合希望在 Web 或移动设备上便捷使用本地 AI Agent 的普通用户和开发者。
TypeScript · ★ 23,961 · 🍴 2,142 · 📈 647 stars today
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
中文介绍 面向 AI 时代的高性能记忆引擎与应用，提供可扩展的 Memory API，支持将用户数据、对话历史、书签等内容持久化存储并高速检索。开发者可通过 API 为 AI 应用赋予长期记忆能力，典型场景包括个人知识库管理、AI 助手上下文增强等。
Python · ★ 76,810 · 🍴 10,900 · 📈 3,375 stars today
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
中文介绍 基于 AI 大模型的一键短视频生成工具，输入主题或关键词即可自动完成文案撰写、素材匹配、语音合成、字幕添加及视频合成全流程，输出高清短视频。适合内容创作者、自媒体运营者快速批量生产短视频内容，大幅降低视频制作门槛。
Python · ★ 58,008 · 🍴 5,633 · 📈 1,486 stars today
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
中文介绍 自适应 Python Web 爬虫框架，能自动处理反爬机制、动态页面渲染及网站结构变更，覆盖从单次请求到大规模全站爬取的各类场景。内置智能元素定位策略，即使页面结构改变也能稳定抓取目标数据，适合数据采集工程师和安全研究人员使用。
JavaScript · ★ 32,672 · 🍴 1,780 · 📈 485 stars today
The design language that makes your AI harness better at design.
中文介绍 专为 AI 编程工具设计的设计语言规范，通过定义一套标准化的设计原则和 Prompt 指导规则，帮助 Claude、Cursor 等 AI 助手生成更符合专业设计标准的界面代码。适合希望让 AI 生成高质量 UI 的前端开发者和设计师使用。
Python · ★ 23,023 · 🍴 2,466 · 📈 249 stars today
Fully automatic censorship removal for language models
中文介绍 针对语言模型的全自动审查绕过工具，无需手动构造 Prompt 即可系统性地移除大模型的内容过滤限制。面向 AI 安全研究人员和模型审计人员，用于评估和测试 LLM 审查机制的鲁棒性，揭示模型对齐层面的潜在漏洞。
TypeScript · ★ 19,096 · 🍴 1,428 · 📈 417 stars today
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
中文介绍 Every 公司推出的 Compound Engineering 官方插件，兼容 Claude Code、OpenAI Codex、Cursor 等主流 AI 编程工具。通过统一插件接口将 Compound 工程方法论集成到现有 AI 开发工作流中，帮助工程师在多种 AI 编码助手中保持一致的开发规范。
Python · ★ 81,751 · 🍴 15,889 · 📈 299 stars today
TradingAgents: Multi-Agents LLM Financial Trading Framework
中文介绍 基于多 Agent LLM 架构的金融量化交易框架，通过多个专业智能体协作完成市场分析、策略制定和交易决策。各 Agent 分工明确，模拟真实投研团队的工作流程，适合量化研究员和金融科技开发者构建和验证 AI 驱动的交易策略。
HTML · ★ 5,133 · 🍴 689 · 📈 524 stars today
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
中文介绍 元技能框架，能够自动设计面向特定领域的 Agent 团队，定义各专业智能体的角色与职责，并为其生成所需技能集。将 Agent 编排过程本身自动化，适用于需要快速搭建多 Agent 系统的 AI 应用开发者，降低复杂 Agent 工作流的设计门槛。
C++ · ★ 111,630 · 🍴 25,509 · 📈 77 stars today
Godot Engine – Multi-platform 2D and 3D game engine
中文介绍 完全开源免费的跨平台游戏引擎，支持 2D 和 3D 游戏开发，原生支持 Windows、macOS、Linux、Android、iOS 及 Web 等多平台发布。采用自研 GDScript 脚本语言，同时支持 C# 和 C++，社区活跃，是独立游戏开发者和中小团队的主流选择之一。
TypeScript · ★ 9,454 · 🍴 759 · 📈 335 stars today
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
中文介绍 面向终端的 AI 编程 Agent，支持哈希锚定式代码编辑、LSP 语言服务器集成、Python 运行环境、浏览器操作及子 Agent 调度等功能。在命令行工作流中提供接近 IDE 级别的 AI 辅助编码体验，适合习惯终端操作的后端开发者和系统工程师。
Python · ★ 24,219 · 🍴 2,790 · 📈 888 stars today
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
中文介绍 清华 OpenBMB 团队推出的无 Tokenizer TTS 系统 VoxCPM2，支持多语言语音生成、创意音色设计和高保真声音克隆。采用免 Tokenizer 架构简化语音建模流程，适用于多语言语音合成、个性化配音及声音克隆等场景，面向语音 AI 研究者和语音应用开发者。
Jupyter Notebook · ★ 3,696 · 🍴 516 · 📈 861 stars today
A straightforward method for training your LLM, from downloading data to generating text.
中文介绍 从零开始训练 LLM 的完整教程项目，覆盖数据集下载、预处理、模型架构搭建、训练调优到文本生成的全流程。采用清晰直接的实现方式，适合希望深入理解大语言模型训练原理的初中级 AI 工程师和研究者作为学习参考。
Jupyter Notebook · ★ 17,847 · 🍴 5,183 · 📈 93 stars today
Code for Machine Learning for Algorithmic Trading, 2nd edition.
中文介绍 《Machine Learning for Algorithmic Trading》第二版配套代码仓库，涵盖因子挖掘、时间序列预测、NLP 情感分析、强化学习等机器学习技术在量化交易中的完整实现案例。使用 Python 和主流 ML 框架，适合量化分析师和金融数据科学家学习和参考。
Rust · ★ 7,163 · 🍴 298 · 📈 135 stars today
The fastest and the most accurate file search toolkit for AI agents, Neovim, Rust, C, and NodeJS
中文介绍 极速高精度文件搜索工具包，专为 AI Agent、Neovim 插件、Rust、C 和 Node.js 环境设计，提供跨语言统一接口。针对 AI Agent 工具调用场景优化性能，支持模糊匹配与精确检索，适合需要在代码中集成高性能文件检索能力的开发者。
Markdown · ★ 510,396 · 🍴 48,388 · 📈 1,212 stars today
Master programming by recreating your favorite technologies from scratch.
中文介绍 精心策划的编程学习资源合集，收录了从零手写 Git、Docker、Redis、编译器、操作系统等数十种主流技术的教程链接。通过重新实现经典工具来深入理解底层原理，适合希望突破框架使用层面、真正掌握计算机系统核心机制的中高级开发者。
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Recent feedforward 3D reconstruction methods predict point maps and estimate global 3D geometry remarkably well. However, their predictions still exhibit inaccurate local surface geometry, which is clearly visible qualitatively but only weakly reflected in common metrics. To make these errors more e
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Group-advantage-based reinforcement learning methods, such as GRPO and DAPO, have demonstrated strong performance across diverse domains, including mathematical reasoning and text-to-image generation. However, their reliance on sample-level rewards introduces a key limitation as uniform credit assig
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Self-supervised novel view synthesis (NVS) remains challenging to scale, despite the abundance of video data, largely due to the brittleness of training on realistic videos and the hard-to-predict scaling behavior of multi-network system designs. We introduce RayDer, a unified, feed-forward transfor
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We present Mellum 2, an open-weight 12B-parameter Mixture-of-Experts (MoE) language model with 2.5B active parameters per token. Mellum 2 is a general-purpose language model specialized in software engineering, spanning code generation and editing, debugging, multi-step reasoning, tool use and funct
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Humans easily determine which color belongs to which shape in multi-object scenes, an ability known as concept binding. Vision-language embedding models such as CLIP struggle with binding: they recognize individual concepts but fail to represent which concepts form which objects. Although CLIP behav
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On-policy distillation (OPD) trains a student on prefixes sampled from its own policy while matching a stronger teacher. This addresses the prefix mismatch of offline distillation, but early student rollouts can still be poor, placing teacher supervision on weak or low-quality prefixes. We propose T
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Recent advances in video generative models have promoted rapid progress in controllable world models. However, maintaining fine-grained spatio-temporal consistency under long-horizon reasoning remains a key challenge. In this work, we move beyond explicit 3D memory and coarse frame-level implicit mo
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Monitoring autonomous language model agents currently relies mostly on surface behavior. But what happens when agent populations invent new languages with the goal of avoiding human oversight. Here, we study the emergent languages on Moltbook. For this, we build upon the Moltbook Files dataset and a
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Video-language models can process only a limited number of frames, making frame selection a key bottleneck for efficient video captioning. Most captioning pipelines still rely on uniform sampling, which is computationally cheap but agnostic to visual content. Adaptive frame sampling has recently eme
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While visually grounded Chain-of-Thought (CoT) has emerged as a promising paradigm to enhance fine-grained perception in multimodal large language models (MLLMs), its efficacy during the inference phase remains underexplored. In this work, we empirically find that mandating explicit object boxes in
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Object counting remains fragmented across domain-specific datasets and task formulations, despite rapid progress in generalist vision models. Existing counting models are often tailored to scenarios such as crowds, vehicles, cells, crops, or remote-sensing objects, and thus struggle to generalize ac
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LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing model parameters. Harness self-evolution adapts such agents by updating these harnesses from execution evidence. Yet it
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Physical AI systems, including robots, autonomous vehicles, embodied agents and edge copilots, often run a different inference workload from cloud LLM serving: single-stream, batch-1 autoregressive decode, where one robot, camera feed or user session waits on the next token. This workload is usually
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Recent work has begun to equip vision-language-action (VLA) policies with explicit intermediate reasoning. In embodied control, however, textual chain-of-thought is a poor fit: irrelevant or weakly textual information can interfere with action prediction, while autoregressive text decoding adds too
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Cell instance segmentation models trained on cell-specific datasets suffer severe performance drops on out-of-distribution cell types, while interactive foundation models overcome this through per-instance prompting at a cost that is prohibitively expensive for histopathology images containing hundr
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Large Language Model (LLM) search agents have shown strong promise for knowledge-intensive language tasks through multiple rounds of reasoning and information retrieval. Most existing systems access information using a retriever that takes a keyword or natural language query and returns a ranked lis
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Reinforcement learning (RL) can be used to improve the policy (denoiser) of diffusion large language models (dLLMs), while being hindered by the intractability of the policy likelihood. A dominant and efficient family of methods replaces the likelihood in standard RL with its evidence lower bound (E
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Agentic search enables LLMs to solve complex multi-hop questions through iterative reasoning and external search. Despite the effectiveness, these systems often suffer from a critical limitation in practice: agents fail to recognize their own knowledge boundaries, blindly triggering searches when in
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Autonomous AI research agents aim to accelerate scientific discovery by automating the research pipeline, from hypothesis generation to peer review. However, existing benchmarks rarely test a fundamental bottleneck: whether Large Language Models can judge the methodological viability of a research i
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While GUI agents have advanced rapidly, they often lack the robustness to recover from their own errors, hindering real-world deployment. To bridge this gap at both the evaluation and data levels, we introduce GUI-RobustEval and propose Robustness-driven Trajectory Synthesis. GUI-RobustEval contains
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Spatial reasoning is a fundamental capability for vision-language models (VLMs) deployed in real-world environments. However, visual observations are inherently limited representations of a 3D world: occlusion can render objects invisible, and perspective can make geometric properties misleading. De
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Conditional human motion generation remains a fundamental challenge in computer vision and robotics. Despite significant progress, current methods are often constrained by fixed modality configurations and task-specific architectures, leaving cross-modal interactions and the scaling laws of multimod
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Skills, i.e., structured workflow instructions distilled for large language models (LLMs), are becoming an increasingly important mechanism for improving agent performance on real-world downstream tasks. However, as the open-source skill ecosystem rapidly expands, it remains unclear how different mo
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If an AI agent makes decisions on a person's behalf, those decisions must align with its user. We introduce representational accuracy to measure how faithfully a system captures a person's interpretation. An interpretive layer is operationalized as a Behavioral Specification. Our reference implement
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Diffusion language models decode text by iteratively denoising masked token sequences, making the choice of which positions to decode a central inference-time decision. Most training-free decoding strategies use model confidence for position selection, assuming that high-confidence positions are rea
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Media compression standards have reached a plateau in terms of the rate-distortion-complexity trade-off, limiting the ability to offload expensive AI perception to the cloud in applications like robotics, wearables, and remote sensing. DNN-based codecs improve compression efficiency, but at a cost:
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While previous research in multivariate time series forecasting has focused on developing complex holistic models, this work advocates for a shift toward a granular, component-level understanding of their impacts. We propose TSCOMP, the first large-scale benchmark that systematically deconstructs de
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This paper studies the next major bottleneck in agentic AI as system scaling, not only model scaling: the design of auditable, persistent, modular, and verifiable architectures around foundation models. We refer to this shift as scaling the harness: treating the structured execution layer around a f
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The emergence of Large Vision-Language Models (LVLMs) has significantly advanced video understanding capabilities. However, existing benchmarks focus predominantly on coarse-grained tasks such as action segmentation, classification, captioning, and retrieval. Furthermore, these benchmarks often rely
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The integration of Unmanned Aerial Vehicles(UAVs) into Intelligent Transportation Systems (ITS) offers synoptic visibility for traffic monitoring, yet scalable deployment is hindered by trajectory fragmentation, where vehicle identity persistence is lost across multi-UAV Fields of View (FOV). While
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Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.
中文介绍 OpenAI发布其AI政策与政治倡导立场声明，阐明公司支持审慎监管与AI安全的原则，强调对外政策透明，并声明不存在任何代表公司发声的外部政治团体。
中文介绍 JetBrains在Hugging Face发布Mellum2，这是一款拥有120亿参数的混合专家架构（Mixture-of-Experts）语言模型，面向开发者场景设计，具体性能指标及应用细节暂未披露。
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and why Grok Imagine is so underrated. For the first time, we do a deep dive with the guy who led it!
中文介绍 Latent Space深度访谈xAI负责人Ethan He，探讨Grok Imagine视频生成模型的开发历程：该产品在3个月内完成构建，文章分析了视频生成模型与世界模型的差异，并认为Grok Imagine的价值被市场低估。
中文介绍 IBM Research在Hugging Face发表文章，探讨企业规模化落地AI的核心挑战，指出单纯依赖大语言模型不足以实现可扩展的企业级AI应用，Agent逻辑层的设计是推动大规模落地的关键因素。
OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities.
中文介绍 OpenAI宣布在密歇根州正式破土动工，建设装机容量达1吉瓦（1GW）的大型数据中心，该项目隶属Stargate计划，旨在扩展AI基础设施、创造本地就业岗位并服务社区。
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation to production.
中文介绍 OpenAI前沿模型及Codex现已在亚马逊云科技（AWS）平台正式全面开放，企业客户可通过AWS既有环境、安全管控与采购流程直接调用OpenAI服务，加速从测试评估到生产部署的进程。
中文介绍 英伟达（NVIDIA）发布Cosmos 3模型，该模型被定位为首个面向物理AI场景的开放式全能（Omni）模型，具备物理世界推理与动作规划能力，旨在推动具身智能与机器人领域的AI应用发展。
中文介绍 TLDR AI日报（2026年6月1日）摘要：微软Copilot超级应用功能疑似泄露；Minimax发布M3新模型；英伟达推出N1X芯片；多项AI产品与行业动态集中披露。
a quiet day lets us highlight the new AIE WF focuses
中文介绍 Latent Space AINews日报记录相对平静的一天，重点介绍AI工程师（AIE）工作流的新聚焦方向，涵盖创始人模式与前线部署工程师（Forward Deployed Engineers）相关话题。
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
中文介绍 波士顿儿童医院借助OpenAI技术改善患者护理并降低运营负担，目前已协助诊断逾40例罕见病案例，AI工具在减少医生重复性工作的同时提升了疑难疾病的诊断能力。
How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
中文介绍 Braintrust工程团队介绍其使用OpenAI Codex与GPT-5.5的实践经验：通过将客户需求直接转化为代码，显著加快了实验迭代与功能开发速度。
Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we ente
中文介绍 MIT科技评论分析教宗利奥十四世发布的AI专题通谕《宏大人性》（Magnifica Humanitas），其中「技术从不中立」的核心论断对科技从业者与政策制定者具有重要参考价值，通谕呼吁各方以勇气与责任感应对AI时代的挑战。
**Anthropic** rolled out **Claude Opus 4.8**, which shows incremental improvements but mixed benchmark results, including better cooperation and coding behavior but some regressions in document parsing. Platform updates include mid-conversation system instructions enhancing long agent sessions, thou
中文介绍 Anthropic发布Claude Opus 4.8，该版本呈现渐进式改进：协作能力与代码生成表现有所提升，但文档解析等基准测试出现一定退步；平台同步更新支持对话中途修改系统指令等功能。
OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.
中文介绍 OpenAI正式推出Rosalind Biodefense项目，向经审核的开发者及美国政府合作伙伴开放GPT-Rosalind访问权限，聚焦生物防御、公共卫生与大流行病防范领域，旨在通过前沿AI提升社会整体抗风险能力。
Total Anthropic victory!
中文介绍 Anthropic完成H轮融资，融资规模达9650亿美元；同期发布Claude Opus 4.8模型，并推出动态工作流（Dynamic Workflows）与ultracode等新功能，Latent Space将本次多项进展并称为「Anthropic全面胜利」。
当前技术面呈现明显的板块分化格局。美股方面，SPY 报 758.54 美元，RSI14 达 75.1，处于超买状态，距 52 周高点仅 -0.23%，SMA20/50/200 多头排列；QQQ 同样 RSI14 高达 78.4，5 日涨幅 3.51%，MACD 金叉成立，科技股整体动量偏强但超买信号密集。MSFT 单周涨幅达 10.02%，NVDA 单日涨幅 6.26%，显示科技龙头轮动活跃；但 META 单日下跌 5.07%、TSLA 单日下跌 4.57%，AAPL 单日下跌 1.84%，内部分化较大。加密资产技术面整体偏弱：BTC 报 71,070 美元，RSI14 仅 29.7 进入超卖区间，价格全面低于三条均线，空头排列明显；ETH 报 1,995 美元，距 52 周高点回撤 -59.71%，同处空头排列。加密总市值 2.52 万亿美元，24 小时下跌 2.53%，恐慌贪婪指数仅 23，处于极度恐慌区域，BTC 主导率维持 56.6%，市场风险偏好明显收缩。中概股方面，BABA、PDD、JD、腾讯均处于空头排列，RSI 普遍位于 37-41 区间，技术面偏弱。商品与外汇方面，WTI 原油 1 日涨幅 5.11%，但 5 日跌幅 -4.95%，波动较大；黄金期货价格低于 SMA20 与 SMA50；美元指数 DXY 报 99.19，接近 52 周高点，多头排列，RSI14 为 55.5，动量温和偏强；10 年美债收益率 4.47%，略高于 SMA20（4.49%），MACD 出现死叉信号。整体来看，美股科技板块与加密市场呈现截然相反的技术状态。
QQQ 当前价 742.74 美元，5 日涨幅达 3.51%，距 52 周高点仅 -0.39%。价格显著高于 SMA20（712.47）、SMA50（655.93）、SMA200（618.66），呈多头排列。MACD 为 21.74，高于信号线 21.50，形成金叉。RSI14 为 78.4，处于超买区间，短期存在回调风险，但整体动量指标偏强。
BTC 当前价 71,070 美元，1 日跌幅 -3.41%，5 日跌幅 -4.4%，距 52 周高点回撤 -43.68%。价格低于 SMA20（76,278）、SMA50（77,238）、SMA200（79,379），三线呈空头排列。RSI14 为 29.7，已跌入超卖区间。MACD 为 -1,362，远低于信号线 -742，绿柱扩大，下行动量持续。加密恐慌贪婪指数仅 23，处于极度恐慌状态，技术面整体偏弱。
META 当前价 600.47 美元，1 日跌幅 -5.07%，5 日跌幅 -1.6%，距 52 周高点回撤 -24.59%。价格低于 SMA20（612.91）、SMA50（618.41）、SMA200（665.67），形成空头排列。MACD 为 -2.64，高于信号线 -3.97，虽出现金叉信号，但 MACD 仍在零轴下方，整体趋势偏空。RSI14 为 41.6，位于偏弱区间。
MSFT 当前价 460.52 美元，1 日涨幅 2.28%，5 日涨幅高达 10.02%。MACD 为 8.38，高于信号线 4.97，金叉成立，动量向上。RSI14 为 72.9，进入超买区间。但价格（460.52）仅微高于 SMA200（458.16），而距 52 周高点仍有 -17.09% 的差距，趋势标注为「中性」，多空拉锯特征明显，短期超买压力与中期修复动能并存。
NVDA 当前价 224.36 美元，1 日涨幅 6.26%，5 日涨幅 4.19%。价格高于 SMA20（216.75）、SMA50（200.26）、SMA200（187.87），多头排列完整。RSI14 为 60.4，处于正常偏强区间，尚未超买。MACD 为 4.20，略低于信号线 5.62，动量指标略有弱化，但价格结构整体偏强，距 52 周高点回撤仅 -5.15%。
VIX 恐慌指数
10Y 美债收益率 (%)
美元指数 DXY
S&P 500 ETF
Nasdaq 100 ETF
Apple
Microsoft
Nvidia
Alphabet
Tesla
Meta
Bitcoin
Ethereum
Solana
阿里巴巴 (BABA)
拼多多 (PDD)
京东 (JD)
腾讯控股 (0700.HK)
黄金期货
WTI 原油期货
美元 / 人民币
本报告仅为技术指标读数的客观描述，过去走势不代表未来表现。所有内容仅供技术指标解读参考，不构成任何投资建议或买卖推荐，投资者需自行承担决策风险。
Death toll from Israel's attacks on Lebanon since March has reached 3,433, with 10,395 injured, says Health Ministry.
中文摘要 黎巴嫩卫生部数据显示，自今年3月以来以色列对黎巴嫩发动的袭击已造成3433人死亡、10395人受伤。特朗普与真主党及以色列方面分别进行沟通，试图缓和局势，但黎巴嫩境内战斗仍在持续升级。
President Trump wrote on social media that Israel and Hezbollah had “agreed” not to attack each other. Prime Minister Benjamin Netanyahu later distanced himself from talks of a cease-fire in Lebanon.
中文摘要 特朗普在社交媒体发文称以色列与真主党已「同意」互不攻击。以色列总理内塔尼亚胡随后与停火表态保持距离，未正式确认相关协议。以伊双方在一天紧张对峙后暂时降低威胁升级姿态。
中文摘要 该条目为实时新闻博客最新进展入口，暂无具体正文内容，相关动态涉及伊朗战争、美国、以色列及黎巴嫩局势最新进展。
Treasurer says Labor wants to address economic frustration whereas One Nation wants to benefit politically from it. Follow today’s news live Get our breaking news email, free app or daily news podcast The foreign minister, Penny Wong, has announced new sanctions by the commonwealth over three Israel
中文摘要 澳大利亚财长查默斯表示，经济困境是选民转向一国党的主要原因，工党致力于解决经济不满，而一国党则寻求从中获取政治利益。澳大利亚总人口突破2800万。外长黄英贤宣布新一轮制裁措施。
Hours after the pause was announced, the Israeli military said it had intercepted projectiles fired from Lebanon.
中文摘要 黎巴嫩方面宣布真主党同意与以色列相互停止攻击。然而停火公告发布数小时后，以色列军方称已拦截来自黎巴嫩方向发射的飞行物，停火协议的稳固性受到质疑。
The US president said Benjamin Netanyahu had promised not to send troops to Beirut, while Hezbollah had agreed that ‘all shooting will stop’ The exchange of strikes between the US and Iran reflects the fragility of the current ceasefire, which has seen repeated violations even as American and Irania
中文摘要 特朗普宣布以色列与真主党将停止交火后，以色列称仍有火箭弹射向其北部地区。特朗普表示内塔尼亚胡承诺不派兵进入贝鲁特，真主党则同意「停止一切射击」。美伊之间的持续交火显示当前停火协议极为脆弱。
Abelardo De La Espriella, a hard-line candidate on the right facing a left-wing rival in a presidential runoff, has pledged to crush drug traffickers.
中文摘要 哥伦比亚总统决选中，右翼强硬派候选人阿韦拉多·德拉埃斯普里利亚承诺大力打击毒枭，其立场与特朗普高度契合。若其当选，将成为特朗普在拉美地区的重要政治盟友。
Police seen dragging ultra-Orthodox protesters from under a bus after they blocked roads in Jerusalem over conscription.
中文摘要 以色列极端正统派犹太人因反对强制征兵令在耶路撒冷举行抗议，封锁道路并躺卧于公共汽车底部，以色列警察随即将抗议者强行拖离，双方发生冲突。
The candidate, Abelardo de la Espriella, will face a senator from the left-wing party of the departing president, Gustavo Petro, in a June runoff.
中文摘要 哥伦比亚总统大选进入决选阶段，右翼候选人阿韦拉多·德拉埃斯普里利亚将在6月决选中对阵现任总统古斯塔沃·佩特罗所在左翼政党推出的参议员候选人。
Mette Frederiksen may not be nearly as popular as she once was, but she remains the Danes’ most dominant leader in decades.
中文摘要 丹麦总理梅特·弗雷泽里克森组建新一届政府。尽管其支持率较巅峰时期有所下滑，她仍被视为丹麦数十年来最具主导力的政治领袖。
Labour unions and student groups protested in Chile as President Kast delivered his first State of the Nation.
中文摘要 智利总统卡斯特发表首次国情咨文之际，劳工工会及学生团体走上街头，抗议政府削减社会福利项目，多地爆发激烈冲突。
The decision was split, allowing the Trump administration to continue barring transgender people from enlisting.
中文摘要 美国法院以分裂裁决维持对特朗普禁止跨性别者服役政策的禁令，但同时允许特朗普政府继续禁止跨性别人员新入伍参军，相关政策法律争议持续。
Once widespread in Japan, the colorful birds went from being fairly commonplace in the country to being on the verge of extinction.
中文摘要 曾在日本广泛分布的朱鹮一度濒临灭绝，经多年保育努力后数量逐步恢复。日本以高规格待遇保育这一珍稀鸟类，目前种群已重新翱翔于日本上空。
President Trump told CNBC that he “couldn’t care less” if the negotiations with Iran break down.
中文摘要 特朗普在接受CNBC采访时表示，他认为与伊朗进行的高风险谈判「非常无聊」，并称自己「完全不在乎」谈判是否破裂，展现出对外交进程的高度漠然态度。
Residents of coastal communities in Colombia and Ecuador said the airstrike campaign was making many reconsider anything involving the ocean as a livelihood.
中文摘要 美国对哥伦比亚和厄瓜多尔沿海地区实施的船只打击行动已造成逾200人死亡。当地沿海社区居民表示，此次空袭行动使大批民众不得不放弃依赖海洋为生的传统生计，经济与社会代价远超官方数据所呈现的伤亡人数。
Chinese who spent more than ever on Hong Kong real estate in the first quarter of this year now face a hurdle to overcome as rules get stricter on wealthy people in the mainland taking cash overseas.
中文摘要 中国内地买家今年一季度在香港房地产市场的购置金额创历史新高，但随着中国大陆收紧富裕人群向境外转移资金的相关规定，这一购房热潮面临降温风险。新规将对内地居民赴港置业形成较大障碍。
Andrew Left, one of the world’s most prominent short sellers, was found guilty of securities fraud by a federal jury after a landmark trial that scrutinized his use of social media to move the price of stocks.
中文摘要 全球知名做空者安德鲁·莱夫特（Andrew Left）被美国联邦陪审团裁定证券欺诈罪名成立。此案具有里程碑意义，焦点在于其利用社交媒体发布研究报告操纵股价的行为是否构成违法。
Bloom Energy Corp., a supplier to Oracle Corp. that’s seen its stock price double in the past two months, doesn’t see a need to sell shares to meet surging demand from data centers, its chief executive officer says.
中文摘要 燃料电池供应商Bloom Energy Corp.是甲骨文（Oracle）的供应商，其股价近两个月内已翻倍。公司首席执行官表示，面对数据中心需求激增，公司暂无出售股票进行融资的计划。
vVardis Holding AG, a Swiss dental startup, is working with banks for a US initial public offering that could come this year, according to people familiar with the matter.
中文摘要 瑞士牙科初创公司vVardis Holding AG正与多家银行合作，筹备在美国进行首次公开募股（IPO），知情人士称此次上市最快可能于今年内完成。
Landmark fundraising plans include $10bn private placement to Berkshire Hathaway
中文摘要 谷歌母公司Alphabet计划出售800亿美元股票，以为人工智能领域的大规模投资提供资金，其中包括向伯克希尔·哈撒韦（Berkshire Hathaway）进行100亿美元的私募配售，是科技公司近年来规模最大的融资行动之一。
Gold held a decline as conflicting messages from the US and Iran on a diplomatic resolution to the war kept concerns over prolonged trade and geopolitical disruptions alive.
中文摘要 由于美国与伊朗在外交解决方案上发出相互矛盾的信号，市场对中东地缘政治局势的担忧持续，黄金价格维持跌势，投资者对贸易及地缘政治扰动的隐忧难以消散。
Some firms are putting pressure on staff to use AI, but have not thought through their AI rollout.
中文摘要 部分企业在推行人工智能时缺乏充分规划，向员工施压要求使用AI工具，但未能提供清晰的实施方案和配套培训，导致员工感到困惑，AI落地效果大打折扣，反而影响企业正常运营效率。
China is pitching itself as the global fulcrum for the next phase of artificial intelligence and a legion of robotics companies is lining up initial public offerings to test investor appetite.
中文摘要 中国正积极将自身定位为人工智能下一阶段发展的全球核心，大批机器人企业排队筹备首次公开募股（IPO），以检验投资者对AI与机器人融合赛道的资金承接能力。
More than one in five cases were missed during lockdowns according to new research
中文摘要 新研究显示，英国新冠疫情封锁期间超过五分之一的癌症病例被漏诊，导致英国癌症医疗服务体系陷入「脆弱」状态，疫情对肿瘤筛查和诊治造成的长期影响至今仍未完全消除。
Asian shares eased from record highs and oil held gains as efforts to revive a peace deal with Iran showed little progress.
中文摘要 亚洲股市从历史高位小幅回落，油价维持涨势。美伊和平谈判进展迟滞，市场对中东局势的不确定性持续，对能源供应中断的担忧支撑了油价。
Oil steadied after its biggest gain in about a month, as uncertainty about the state of US-Iran peace talks raised the risk that energy flows from the Persian Gulf could be curtailed for longer.
中文摘要 油价在创下近一个月最大单日涨幅后企稳。美伊和谈前景不明，市场担忧波斯湾地区能源供应可能长期受阻，这一不确定性成为支撑油价的主要因素。
Australia’s winter wheat crop is forecast to fall by more than a quarter in the 2026/27 season due to unusually dry weather, low global prices and higher input costs resulting from the war in the Middle East.
中文摘要 受异常干燥天气、全球小麦价格低迷以及中东战争推高农资成本等因素影响，澳大利亚2026/27季度冬小麦产量预计同比下滑逾26%，给全球粮食市场供应带来一定压力。
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