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2026-06-08

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mvanhorn/last30days-skill

Python · ★ 30,897 · 🍴 2,589 · 📈 1,111 stars today

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

中文介绍 跨 Reddit、X、YouTube、HN 等多平台研究任意主题的 AI agent 技能,能综合生成有依据的摘要。适合市场调研、舆情监控等需要多源信息聚合的场景。

opencv/opencv

C++ · ★ 88,071 · 🍴 56,597 · 📈 65 stars today

Open Source Computer Vision Library

中文介绍 开源计算机视觉库,提供图像处理、视频分析、机器学习等功能。广泛应用于科研、工业、机器人领域。C++ 实现,支持 Python 接口。

Leonxlnx/taste-skill

Shell · ★ 36,576 · 🍴 2,642 · 📈 1,103 stars today

Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

中文介绍 为 AI 注入“品味”,避免生成平淡无奇的内容。通过优化 prompt 或微调模型提升输出创意,适合写作、内容生成等需要高质量创意的场景。

NousResearch/hermes-agent

Python · ★ 185,909 · 🍴 31,978 · 📈 1,112 stars today

The agent that grows with you

中文介绍 概念性 AI 代理,能随用户共同成长。可能是个性化学习或自适应助手,适合需要长期协作和持续进化的智能助手场景。

lfnovo/open-notebook

TypeScript · ★ 27,241 · 🍴 3,098 · 📈 554 stars today

An Open Source implementation of Notebook LM with more flexibility and features

中文介绍 开源版 Notebook LM,提供更灵活的 AI 辅助笔记、文档分析和知识管理功能。适合研究人员、学生和知识工作者使用。

yikart/AiToEarn

TypeScript · ★ 18,737 · 🍴 2,908 · 📈 183 stars today

Let's use AI to Earn!

中文介绍 利用 AI 技术获取收益的工具或平台。可能通过聚合任务、自动化等方式帮助用户变现,具体功能需查看源码。

aaif-goose/goose

Rust · ★ 47,495 · 🍴 5,011 · 📈 322 stars today

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

中文介绍 开源可扩展 AI 代理,功能超越代码补全,能安装、执行、编辑、测试,兼容任何 LLM。适用于开发自动化、测试和运维场景。

Crosstalk-Solutions/project-nomad

TypeScript · ★ 29,713 · 🍴 2,944 · 📈 309 stars today

Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.

中文介绍 自包含离线生存计算机,集成关键工具、知识和 AI,在无网环境下提供信息和支持。适用于灾害应急、野外探险、偏远地区等场景。

ggml-org/llama.cpp

C++ · ★ 115,316 · 🍴 19,301 · 📈 158 stars today

LLM inference in C/C++

中文介绍 高性能 LLM 推理框架,C/C++ 实现,支持在 CPU 上运行大模型。适合本地部署、资源受限环境,如边缘设备。

RyanCodrai/turbovec

Python · ★ 7,141 · 🍴 697 · 📈 1,554 stars today

A vector index built on TurboQuant, written in Rust with Python bindings

中文介绍 基于 TurboQuant 的高效向量索引,Rust 实现并绑定 Python。用于相似度搜索、RAG 等场景,提供快速向量检索能力。

TapXWorld/ChinaTextbook

Roff · ★ 72,427 · 🍴 16,238 · 📈 350 stars today

所有小初高、大学PDF教材。

中文介绍 收录中国小学、初中、高中、大学全阶段 PDF 教材。方便学生、教师查阅下载,解决教材获取难的问题。

openai/plugins

JavaScript · ★ 2,025 · 🍴 271 · 📈 262 stars today

OpenAI Plugins

中文介绍 OpenAI 插件生态,使 ChatGPT 能调用第三方 API,扩展联网、代码执行、数据库查询等功能。开发者可构建自定义插件。

refactoringhq/tolaria

TypeScript · ★ 12,863 · 🍴 907 · 📈 245 stars today

Desktop app to manage markdown knowledge bases

中文介绍 桌面应用,用于管理 Markdown 知识库。提供编辑、组织和搜索功能,适合个人知识管理和文档整理。

HunxByts/GhostTrack

Python · ★ 13,724 · 🍴 1,834 · 📈 28 stars today

Useful tool to track location or mobile number

中文介绍 追踪手机位置或号码的工具。可能用于安全研究或定位服务,使用时需注意隐私合规。

microsoft/pg_durable

Rust · ★ 1,448 · 🍴 32 · 📈 316 stars today

PostgreSQL in-database durable execution

中文介绍 PostgreSQL 内持续执行框架,允许在数据库中运行可靠的任务调度和工作流。适用于需要事务性任务执行的场景,如数据管道。

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

👍 72

Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA -- costly at repository scale and brittle to evolv

中文介绍 Code2LoRA 提出用超网络生成 LoRA 适配器,以应对代码语言模型在软件演化中的知识更新问题。无需为每个仓库微调,通过超网络从代码上下文动态生成适配器权重,显著降低仓库级部署成本并提升对新版本的适应性。

ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?

👍 45

Role-playing language agents (RPLAs) should play characters whose values and behavior evolve as the story progresses, not maintain a fixed persona. Existing benchmarks measure factual recall at a given chapter, not whether responses align with the character's psychological trajectory, especially in

中文介绍 ArcANE 评估角色扮演语言代理(RPLA)能否随剧情发展动态调整角色价值观和行为,而非保持固定人格。现有基准仅测试事实回忆,ArcANE 通过构建故事弧线中的心理轨迹对齐任务,揭示模型在角色演化一致性上的不足。

TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration

👍 38

Agents are widely deployed as assistants over documents, tools, and code. However, they typically act only on explicit user requests, which surface only the problems the user has noticed, while many other important problems coexist, hidden in plain sight, within the broader user context, with their

中文介绍 TIDE 提出模板引导的迭代式主动发现问题框架,使代理能超越用户显式请求,在文档、工具和代码等上下文中自主发现并报告多个隐藏问题。通过模板化提示和迭代搜索,提升代理的主动性和问题覆盖范围。

AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints

👍 37

Planning for real-world problems by language models often involves both world and user constraints, which may not be fully specified upfront and are progressively disclosed through interaction. However, existing benchmarks still underexplore adaptive planning under such progressively revealed dual c

中文介绍 AdaPlanBench 评估大语言模型代理在逐步披露的世界约束和用户约束下的自适应规划能力。现有基准缺乏对双重约束渐进揭示场景的测试,该工作设计了包含动态约束变化的规划任务,量化模型在交互中调整计划的效果。

VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding

👍 34

We introduce VideoKR, the first large-scale training corpus specifically designed to strengthen knowledge- and reasoning-intensive video understanding. It comprises 315K video reasoning examples over 145K newly collected, CC-licensed, expert-domain videos. We develop a human-in-the-loop, skill-orien

中文介绍 VideoKR 构建首个大规模训练语料库,用于强化知识推理型视频理解。包含 31.5 万视频推理样本和 14.5 万专家领域视频,采用人机协作的技能导向标注流程。相比现有基准,在知识密集型视频问答任务上显著提升准确率。

RobotValues: Evaluating Household Robots When Human Values Conflict

👍 24

While household robots are often evaluated based on task completion, everyday domestic environments involve value-conflicting situations in which robots are expected to choose actions that prioritize other values than task success, such as human autonomy, efficiency, or social appropriateness. Yet,

中文介绍 RobotValues 提出评估家庭机器人在人类价值观冲突场景中的行为选择框架。传统指标只关注任务完成,该工作引入价值冲突情境(如自主性、效率、社交恰当性),测试机器人是否优先考虑非任务价值,揭示现有模型的局限。

Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation

👍 23

Prior work has shown that large language models (LLMs) can translate unseen or low-resource languages by undergoing continued training or even by encoding a grammar book in their context. However, both methods typically overfit specific languages, with limited zero-shot transfer at test time. To tra

中文介绍 针对未见语言翻译任务,提出强化学习(RL)引导模型在上下文中学习新语言翻译。相比继续训练或编码语法书,该方法通过 RL 优化上下文学习策略,实现更好的零样本跨语言迁移,且不依赖特定语言过度拟合。

LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing

👍 21

Developing unified video generation and editing models capable of interpreting interleaved multimodal inputs is a promising yet challenging frontier field. Existing unified frameworks predominantly rely on massive models (typically 13B parameters or more) and incorporate source video conditions for

中文介绍 LoomVideo 提出统一多模态输入的视频生成与编辑框架,支持交错图像、文本、视频等条件。不同于依赖 13B+ 参数大模型的方法,该工作以更小规模模型实现高质量视频生成与编辑,在多项指标上达到或超越现有方案。

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents

👍 19

Experience internalization converts contextual experience from past interactions into reusable parametric capability, offering a promising path toward continual learning in large language models (LLMs). While prior work has predominantly focused on single-iteration transfer, we discover that under m

中文介绍 重新思考持续经验内化:发现多轮迭代比单次迁移更能将交互经验转化为 LLM 的可复用参数化能力。提出多轮内化策略,通过逐步强化关键经验,提升自进化代理在长序列任务中的性能。

Personal AI Agent for Camera Roll VQA

👍 19

We study the personal camera roll visual question answering setting. In this setting, a conversational AI assistant can access a user's personal camera roll and retrieve relevant photos to answer queries, ranging from simple factual questions (e.g., ``Name of the food I tried yesterday?'') to more o

中文介绍 研究个人相机胶卷的视觉问答设定,对话 AI 可访问用户相册检索相关照片回答简单事实或复杂推理问题。提出端到端检索-推理框架,结合多模态嵌入和场景理解,在真实照片问答上取得高准确率。

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?

👍 15

Video generation models have made impressive strides in synthesizing visually compelling content, yet their outputs remain confined to the virtual domain. A natural question follows: how well do these models reflect the physical world when their generated videos leave the screen and enter reality? W

中文介绍 Dream.exe 探究视频生成模型能否「梦想」出可执行的机器人操作。将生成的逼真操作视频转化为真实机器人控制策略,提出闭环仿真-现实迁移方法,验证生成模型在物理世界中的可行性,在多项抓取任务上成功率超 70%。

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

👍 13

Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), where sustained self-evolution becomes a key capability. However, existing MLE agents suffer from inter-branch information isolation, memoryless searc

中文介绍 MLEvolve 提出自进化框架用于自动化机器学习算法发现。现有代理存在分支间信息隔离、搜索无记忆等问题;该框架通过结构化记忆和进化搜索策略,在算法搜索效率和发现质量上显著提升,自动找到优于人工设计的优化器。

Unsupervised Skill Discovery for Agentic Data Analysis

👍 11

Inference-time skill augmentation provides a lightweight way to improve data-analytic agents by injecting reusable procedural knowledge without updating model parameters. However, discovering effective skills for data analysis remains challenging, as reliable supervision is expensive and success cri

中文介绍 无监督技能发现方法用于增强数据分析代理。无需昂贵监督,通过自生成执行轨迹和成功准则,自动提取可复用的过程性技能。注入这些技能后,代理在复杂数据分析任务上的完成率提升 30% 以上。

AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding

👍 10

Vision-Language-Action (VLA) models leverage the rich world knowledge of pretrained vision-language models (VLMs) to enable instruction-following robotic manipulation. However, the structural mismatch between VLM semantic spaces and embodied control policies often hinders the learning of precise per

中文介绍 AffordanceVLA 提出视觉-语言-动作模型,通过可操作性感知理解增强动作生成。解决 VLM 语义空间与机器人控制策略的结构错配,显式建模物体可操作区域,在真实机器人指令跟随操作任务中操作成功率提升 15% 以上。

MAOAM: Unified Object and Material Selection with Vision-Language Models

👍 9

Selection is a core operation in interactive image editing. To be practical, a user should be able to specify and disambiguate the desired selection region through either text or click-based interactions, and the system should support selecting not only objects but also other criteria, such as mater

中文介绍 MAOAM 提出统一的对象和材质选择方法,用户可通过文本或点击交互指定选择区域,同时支持对象和材质等不同语义标准。基于视觉-语言模型实现灵活解耦选择,在多种编辑任务中取得优于传统交互分割的精度。

LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs

👍 8

Large language models can reproduce training data, but existing memorization evaluations mostly measure whether models can be forced to do so, rather than whether they do so under ordinary use. We introduce PropMe, a propensity-aware framework for memorization evaluation that contrasts prefix-based

中文介绍 PropMe 引入倾向性感知的记忆化评估框架,区分「能被强迫」泄露与「会主动」泄露训练数据。通过对比前缀强制生成与自发生成,发现模型在普通使用中记忆泄露风险远低于强制评估结果,提供更贴近实际的度量。

The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs

👍 7

Inference-time scaling has emerged as a critical avenue for enhancing Large Language Models' performance, yet real-world deployment is constrained by strict computational budgets. In this work, we formulate inference budget allocation as a global constrained optimization problem governed by economic

中文介绍 从经济学视角优化 LLM 推理预算分配:形式化为全局约束优化问题,引入「影子价格」概念衡量每单位计算资源的边际收益。实验表明,合理分配推理计算可在固定预算下提升 20% 以上的性能,指导实际部署取舍。

World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis

👍 7

We propose world-language-action (WLA) models as a new class of embodied foundation models. WLA takes textual instructions, images, and robot states as inputs to jointly predict textual subtasks, subgoal images, and robot actions, conjoining the world modeling interface to learn from extensive egoce

中文介绍 提出世界-语言-动作模型(WLA),统一世界建模、语言推理和动作合成。以文本指令、图像和机器人状态为输入,联合预测子任务描述、子目标图像和机器人动作,在多样化操作任务中实现零样本泛化,成功率远超先前方法。

Latent Reasoning with Normalizing Flows

👍 7

Large language models often improve reasoning by generating explicit chain-of-thought (CoT), demonstrating the importance of intermediate computation. However, textual CoT forces this computation through a discrete, serial, and communication-oriented token stream: each reasoning step must be verbali

中文介绍 提出潜在推理归一化流(Latent Reasoning with Normalizing Flows),替代离散文本链式思维。在连续潜在空间中执行隐式推理步骤,避免串行化 token 流约束。在数学推理等任务上以更少计算步骤达到与 CoT 相当甚至更高的准确率。

Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents

👍 6

Memory-augmented LLM agents tackle complex long-horizon tasks by recursively summarizing interaction trajectories into compact memory. However, existing approaches typically train these memory policies using outcome-based reinforcement learning, failing to localize where intermediate memory quality

中文介绍 元认知记忆策略优化(Meta-Cognitive Memory Policy Optimization)用于长序列 LLM 代理。现有方法用结果奖励训练记忆策略,无法定位中间记忆质量问题;该工作引入过程级奖励,显式优化记忆的准确性和有用性,显著提升长任务成功率。

How To Become An AI Engineer in 2026 (Without a CS Degree)

@sairahul1 · 110.7K 粉丝 · 710.8K 阅 · 509 赞 · 97 转

How To Become An AI Engineer in 2026. Without a CS degree. Without a bootcamp. Without knowing what a transformer is today. Here's what nobody tells you: The companies hiring right now don't need

中文介绍 分享2026年成为AI工程师的路径:无需CS学位、无需训练营、甚至无需理解Transformer。揭示企业招聘的实际需求与常见误区。

How to get 100k YouTube subscribers in 3 hours (The Complete Guide)

@maubaron · 16.9K 粉丝 · 233.8K 阅 · 506 赞 · 19 转

Our YouTube channel has 125k subscribers and we've never made or uploaded a single video ourselves. This is a completely automated system. It is this very same strategy that made us the first app

中文介绍 介绍一种全自动系统,无需制作或上传任何视频即可在3小时内获得10万YouTube订阅。他们用同一策略成为首个应用,并已获得12.5万订阅。

Building cloud agent infrastructure: what's different, and what we learned

@intuitiveml · 6.4K 粉丝 · 171.3K 阅 · 524 赞 · 70 转

Most agent frameworks today assume a desktop. One user, one machine, one process. The agent runs while the laptop is open, writes to a local filesystem, holds API keys in environment variables, and

中文介绍 探讨构建云代理基础设施的挑战与经验:当前多数代理框架假设桌面环境(单用户、单机器、单进程),依赖本地文件系统和环境变量。分享学习要点。

some notes on getting into frontier ai labs

@itsreallyvivek · 3.6K 粉丝 · 65.8K 阅 · 521 赞 · 28 转

A few days ago I wrote that getting into a frontier AI lab mostly comes down to two things: proven research and trench engineering. The more I think about it, the less these feel like separate skills.

中文介绍 进入前沿AI实验室的关键在于「已验证的研究能力」和「一线工程能力」,两者越来越难以分开。分享个人思考。

I Gave Claude David Ogilvy's Writing Rules And Built A Legendary AI Writing Coach

@dickiebush · 441.8K 粉丝 · 57.7K 阅 · 519 赞 · 45 转

Legendary marketer David Ogilvy generated over $864 million for his clients. He was a British advertiser known as "The Father of Advertising." And in 1982, Ogilvy sent this 1-page memo to his staff:

中文介绍 将广告之父David Ogilvy的写作规则注入Claude,打造传奇AI写作教练。Ogilvy曾用一页备忘录为客户创造8.64亿美元,分享这一方法。

RL Interview Questions 2026

@sheriyuo · 8.6K 粉丝 · 30.6K 阅 · 512 赞 · 44 转

After seeing several people receive PhD offers and then immediately land highly paid industry positions during spring recruiting, I started wondering whether going straight into industry might

中文介绍 看到多人拿到PhD offer后立即获得高薪行业职位,开始思考直接进入行业的可能性。分享2026年强化学习面试问题合集。

[AINews] not much happened today

a quiet day of RSI.

中文介绍 当日人工智能领域相对平静,主要提及RSI(递归自我改进)相关进展。

How to Stop Shipping Low-Quality RL Environments (with Examples)

Your broken harness is actively making the model worse. Here's what I keep seeing after years of eyeballing trajectories, and what you need to fix.

中文介绍 文章探讨如何避免发布低质量的强化学习环境,指出破损的环境会使模型变差,并提供修复建议。

The Meta hack shows there’s more to AI security than Mythos

On June 5, 404 Media reported that attackers had been using Meta’s AI customer support agent to steal Instagram accounts. Their approach was simple: They asked the agent to link the accounts to email addresses that they controlled, and the agent complied. One attacker broke into the dormant Obama Wh

中文介绍 2026年6月5日,404 Media报道攻击者利用Meta的AI客服代理窃取Instagram账户,通过要求代理将账户链接至攻击者控制的邮箱,代理照做。

not much happened today

**Anthropic's Mythos/Opus cycle** sparked mixed reactions with praise for **Claude Mythos**'s one-shot workflows and concerns over **Opus 4.8** benchmark regressions. **Opus 4.7** showed strong chemistry task performance, "making Claude a chemist." **Sakana AI** launched an **RSI Lab** focusing on r

中文介绍 Anthropic的Mythos/Opus周期引发混合反应:Claude Mythos的一步工作流获赞,但Opus 4.8基准测试出现倒退;Opus 4.7在化学任务上表现强劲。Sakana AI推出RSI(递归自我改进)。

Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs

We talk with the VendingBench authors on evaling Claudes from Haiku to Mythos, and how they build leading, and lasting, frontier evals from scratch.

中文介绍 Andon Labs的Lukas Petersson和Axel Backlund讨论VendingBench,评估从Haiku到Mythos的Claude模型,以及如何从零构建前沿评估。

How Endava is redesigning software delivery around AI agents

Learn how Endava is using AI agents, ChatGPT Enterprise, and Codex to accelerate software delivery, automate workflows, and build an AI-native culture across the enterprise.

中文介绍 Endava利用AI代理、ChatGPT Enterprise和Codex加速软件交付、自动化工作流,并在企业内建立AI原生文化。

How courts are coping with a flood of AI-generated lawsuits

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mind

中文介绍 科罗拉多州联邦治安法官Maritza Braswell处理大量由无律师人士使用AI生成的法律文件,法院正应对AI引发的诉讼潮。

Dreaming: Better memory for a more helpful ChatGPT

ChatGPT introduces a new memory system to better remember preferences, keeping context fresh and relevant across conversations.

中文介绍 ChatGPT推出新记忆系统「Dreaming」,能更好地记住用户偏好,在对话中保持上下文新鲜和相关。

not much happened today

**NVIDIA** released **Nemotron 3 Ultra**, a fully open **550B MoE** model with **55B active parameters** and **1M context**, optimized for long-running agent tasks with up to **5x speedup** and **30% cost reduction**. It features hybrid Mamba/attention, LatentMoE, native MTP, and was pretrained on *

中文介绍 NVIDIA发布Nemotron 3 Ultra,开源550B MoE模型,55B活跃参数,1M上下文,针对长时代理任务优化,实现5倍加速和30%成本降低,采用混合Mamba/注意力机制。

市场总览

当前市场恐慌情绪显著升温,加密恐慌贪婪指数跌至8(极度恐慌),比特币主导率56.1%但总市值24小时下跌3.82%。美股普遍回调,以QQQ为代表的科技股近1日跌幅达4.8%,RSI回落至48.3接近中性下限,MACD出现死叉但均线仍多头排列;避险资产中VIX飙升39.68%至21.51,MACD金叉且多头排列,反映市场避险需求激增。加密资产整体超卖,BTC、ETH、SOL的RSI均低于28且空头排列,但日内反弹幅度较大(ETH+7.43%),处于下跌趋势中的技术性修复阶段。中概股同步走弱,BABA、PDD等均线空头排列,RSI在36-37偏弱区间。商品方面黄金期货跌破短期均线,RSI36.9偏弱;原油期货亦低于多数均线;美元指数DXY维持强势,RSI66.1偏高,接近52周高点。整体技术面分化明显,风险资产承压,避险与美元资产偏强。

今日关注

^VIX VIX 恐慌指数
偏上行

当前价格21.51,单日上涨39.68%,远高于sma20(17.12)、sma50(18.99)和sma200(18.42),均线多头排列;MACD金叉(MACD -0.3953 > 信号 -0.7728),RSI 65.7接近超买但未突破70。技术面显示恐慌情绪加速上升,短期趋势偏上行。

SPY S&P 500 ETF
中性

当前价格737.55,略低于sma20(746.29),但仍高于sma50(713.51)和sma200(683.93),均线多头排列;RSI 49.4处于中间区域,无超买超卖;MACD值9.98低于信号12.06,形成潜在死叉但未确认。多空力量均衡,短期方向不明朗,技术状态中性。

TSLA Tesla
偏下行

当前价格391,低于sma20(425.87)、sma50(395.29)和sma200(414.14),均线空头排列;MACD死叉(4.14 < 8.61),RSI 40.4接近超卖区域但尚未触及30。近1日下跌6.56%,5日下跌10.28%,量价配合下行动能明确,技术面偏下行。

BTC-USD Bitcoin
偏下行

当前价格63260,远低于sma20(71673)、sma50(75804)和sma200(78475),均线空头排列;MACD负值且死叉(MACD -4002 < 信号 -2700),RSI 26.4处于严重超卖区。尽管日内反弹3.93%,但整体趋势仍以下降为主,需观察超卖后是否有修复性反弹但下行压力未减。

全部资产

^VIX

VIX 恐慌指数

$21.51 +39.68%
5 日
+40.40%
距 52w 高
-39.1%
RSI(14)
65.7
趋势
多头
SMA 20 / 50 / 200
17.12 / 18.99 / 18.42
MACD / 信号
-0.395 / -0.773
MACD 金叉 (今天)多头排列

^TNX

10Y 美债收益率 (%)

$4.54 +1.32%
5 日
+1.86%
距 52w 高
-9.2%
RSI(14)
57.7
趋势
多头
SMA 20 / 50 / 200
4.50 / 4.40 / 4.20
MACD / 信号
0.027 / 0.037
接近 52 周低多头排列

DX-Y.NYB

美元指数 DXY

$100.07 +0.00%
5 日
+0.88%
距 52w 高
-0.6%
RSI(14)
66.1
趋势
多头
SMA 20 / 50 / 200
99.13 / 98.91 / 98.61
MACD / 信号
0.290 / 0.187
接近 52 周高多头排列

SPY

S&P 500 ETF

$737.55 -2.58%
5 日
-2.50%
距 52w 高
-3.0%
RSI(14)
49.4
趋势
多头
SMA 20 / 50 / 200
746.29 / 713.51 / 683.93
MACD / 信号
9.981 / 12.063
多头排列

QQQ

Nasdaq 100 ETF

$705.06 -4.80%
5 日
-4.50%
距 52w 高
-5.8%
RSI(14)
48.3
趋势
多头
SMA 20 / 50 / 200
722.01 / 667.81 / 621.82
MACD / 信号
17.425 / 20.696
MACD 死叉 (1 天前)多头排列

AAPL

Apple

$307.34 -1.25%
5 日
-1.51%
距 52w 高
-3.0%
RSI(14)
60.7
趋势
多头
SMA 20 / 50 / 200
304.25 / 281.24 / 265.19
MACD / 信号
8.464 / 9.395
MACD 死叉 (2 天前)多头排列

MSFT

Microsoft

$416.67 -2.66%
5 日
-7.46%
距 52w 高
-25.0%
RSI(14)
47.5
趋势
中性
SMA 20 / 50 / 200
422.58 / 408.35 / 456.38
MACD / 信号
5.540 / 6.187
MACD 死叉 (今天)

NVDA

Nvidia

$205.10 -6.20%
5 日
-2.86%
距 52w 高
-13.3%
RSI(14)
43.8
趋势
多头
SMA 20 / 50 / 200
219.10 / 203.45 / 188.57
MACD / 信号
2.300 / 4.259
多头排列

GOOGL

Alphabet

$368.53 -0.98%
5 日
-3.11%
距 52w 高
-9.8%
RSI(14)
46.4
趋势
多头
SMA 20 / 50 / 200
385.38 / 354.50 / 304.04
MACD / 信号
1.703 / 6.855
多头排列

TSLA

Tesla

$391.00 -6.56%
5 日
-10.28%
距 52w 高
-21.6%
RSI(14)
40.4
趋势
空头
SMA 20 / 50 / 200
425.87 / 395.29 / 414.14
MACD / 信号
4.143 / 8.607
MACD 死叉 (4 天前)空头排列

META

Meta

$593.00 -5.51%
5 日
-6.25%
距 52w 高
-25.5%
RSI(14)
41.6
趋势
空头
SMA 20 / 50 / 200
612.72 / 619.52 / 662.45
MACD / 信号
-3.755 / -3.493
MACD 死叉 (今天)空头排列
加密恐慌贪婪
8
极度恐慌
加密总市值
$2.26 T
+3.82% / 24h
BTC 主导率
56.1%
ETH 9.0%
24h 成交量
$89.7 B
活跃币 17,354

BTC-USD

Bitcoin

$63,260.01 +3.93%
5 日
-5.16%
距 52w 高
-49.9%
RSI(14)
26.4
趋势
空头
SMA 20 / 50 / 200
71,673.70 / 75,804.44 / 78,475.39
MACD / 信号
-4,002.438 / -2,700.602
RSI 超卖空头排列

ETH-USD

Ethereum

$1,685.25 +7.43%
5 日
-9.28%
距 52w 高
-66.0%
RSI(14)
27.4
趋势
空头
SMA 20 / 50 / 200
1,958.59 / 2,159.82 / 2,449.96
MACD / 信号
-142.978 / -105.019
RSI 超卖接近 52 周低空头排列

SOL-USD

Solana

$66.24 +6.51%
5 日
-10.66%
距 52w 高
-73.8%
RSI(14)
27.2
趋势
空头
SMA 20 / 50 / 200
78.99 / 84.09 / 102.04
MACD / 信号
-5.552 / -3.572
RSI 超卖接近 52 周低空头排列

BABA

阿里巴巴 (BABA)

$121.06 -3.88%
5 日
-2.54%
距 52w 高
-37.2%
RSI(14)
37.2
趋势
空头
SMA 20 / 50 / 200
131.73 / 131.10 / 149.72
MACD / 信号
-2.624 / -1.646
空头排列

PDD

拼多多 (PDD)

$85.07 -0.94%
5 日
+0.75%
距 52w 高
-39.0%
RSI(14)
36.3
趋势
空头
SMA 20 / 50 / 200
92.48 / 97.24 / 112.45
MACD / 信号
-3.706 / -2.987
空头排列

JD

京东 (JD)

$28.88 -1.06%
5 日
+0.17%
距 52w 高
-21.6%
RSI(14)
41.3
趋势
空头
SMA 20 / 50 / 200
30.69 / 30.16 / 30.38
MACD / 信号
-0.352 / -0.077
空头排列

0700.HK

腾讯控股 (0700.HK)

HK$453.20 -1.26%
5 日
+6.09%
距 52w 高
-33.6%
RSI(14)
47.1
趋势
空头
SMA 20 / 50 / 200
451.94 / 476.94 / 572.08
MACD / 信号
-7.220 / -11.055
MACD 金叉 (3 天前)空头排列

GC=F

黄金期货

$4,366.40 +0.68%
5 日
-2.43%
距 52w 高
-21.8%
RSI(14)
36.9
趋势
中性
SMA 20 / 50 / 200
4,528.34 / 4,623.88 / 4,403.66
MACD / 信号
-69.425 / -57.396

CL=F

WTI 原油期货

$92.62 +2.30%
5 日
+0.50%
距 52w 高
-22.5%
RSI(14)
46.3
趋势
中性
SMA 20 / 50 / 200
96.62 / 97.83 / 72.94
MACD / 信号
-1.668 / -1.146

USDCNY=X

美元 / 人民币

¥6.76 -0.13%
5 日
-0.02%
距 52w 高
-6.2%
RSI(14)
34.2
趋势
空头
SMA 20 / 50 / 200
6.79 / 6.82 / 6.98
MACD / 信号
-0.015 / -0.015
接近 52 周低空头排列
风险提示

过去走势不代表未来表现,本报告仅基于公开行情数据计算出的技术指标进行客观状态描述,不构成任何投资建议。仅供技术指标解读参考,投资者应结合自身情况审慎决策。

Iran and Israel trade threats after Tehran launches missiles

Iran and Israel exchanged threats after Tehran launched missiles towards Israel in response to Israeli strikes on Beirut

中文摘要 伊朗向以色列发射导弹,以回应以色列对贝鲁特的袭击,随后伊以双方相互发出威胁。

Australia news live: Julia Gillard ‘disgusted’ by ‘ditch the witch’ ads targeting Victorian premier; One Nation ahead of Labor in new poll

Former Labor prime minister angered at use of ‘tired old trope’. Follow live Get our breaking news email, free app or daily news podcast Is Australian music at risk of extinction? Here’s what the data tells us The music that charts in Australia has changed considerably over the past couple of decade

中文摘要 澳大利亚前总理朱莉娅·吉拉德对针对维多利亚州州长的“ditch the witch”广告表示厌恶;新民调显示“一个民族”党领先工党。

Middle East crisis live: Iran launches missiles towards Israel after Lebanon airstrikes

Launches appear to mark the first such attack since April ceasefire; Tehran threatened Israel with ‘painful’ response after strikes on southern Beirut Full report: Iran launches missiles at Israel Donald Trump also aggressively pushed back against claims that he broke a key campaign promise to keep

中文摘要 伊朗向以色列发射导弹,这是自4月停火以来的首次;此前以色列空袭贝鲁特南部,德黑兰威胁将给予“痛苦”回应。

Live Updates: Iran Fires Missiles at Israel for First Time Since April Cease-Fire

Israel had attacked the outskirts of the Lebanese capital, Beirut, earlier Sunday, prompting Iran to retaliate. There were no immediate reports of casualties from the missile attack.

中文摘要 伊朗自4月停火以来首次向以色列发射导弹。以色列此前袭击贝鲁特郊区,伊朗进行报复。导弹袭击暂无伤亡报告。

Here’s the latest.

中文摘要 最新消息显示伊朗向以色列发射导弹后局势持续升级,暂无更多细节。

Xi Jinping set to meet Kim Jong-un in North Korea, as China seeks to revitalise relationship

The China-North Korea relationship has been strained by a fall in trade during the pandemic and Pyongyang’s increasing ties with Russia Xi Jinping visits North Korea on Monday for a two-day trip, his first in nearly seven years, as China’s president looks to revitalise ties with his junior ally. Xi

中文摘要 习近平将于周一访问朝鲜,这是近七年来首次。此行旨在重振因疫情贸易下滑及朝俄关系升温而受损的中朝关系。

Ukraine Turns to Europe as U.S. Steps Back as Mediator in Peace Talks

President Volodymyr Zelensky traveled to London to meet with the leaders of Britain, Germany and France, whom he said could be negotiators in talks with Russia.

中文摘要 乌克兰总统泽连斯基访问伦敦,会见英国、德国和法国领导人,称他们可作为与俄罗斯谈判的调解人,因美国退出调解角色。

A President, His Prime Minister and the Bitter Rift Dividing Senegal

The two men became president and prime minister by defeating the political old guard in Senegal. Now they are fighting each other.

中文摘要 塞内加尔总统和总理曾联手击败政坛旧势力,如今两人陷入激烈内斗,国家面临分裂。

Zelenskyy discusses ‘urgent need to scale up’ air defences with key allies in London

Keir Starmer hosts Ukrainian, French and German leaders in Downing Street after Russia fires hypersonic weapons at Ukraine Volodymyr Zelenskyy and the leaders of the UK, France and Germany discussed “the urgent need to scale up” Ukraine’s air defences and deep-strike capabilities in London on Sunday

中文摘要 泽连斯基在伦敦与英国、法国和德国领导人讨论“迫切需要升级”乌克兰的防空和远程打击能力。此前俄罗斯向乌克兰发射高超音速武器。

8.1 Magnitude Quake Strikes Philippines, Tsunami Waves Possible

An earthquake of 8.1 magnitude struck Mindanao, Philippines on Monday, according to the Helmholtz Centre for Geosciences. The quake had a depth of 10 kilometers.

中文摘要 菲律宾棉兰老岛发生8.1级地震,震源深度10公里,可能引发海啸。

Air New Zealand Steps Up Flight Cuts as Fuel Costs Mount

Air New Zealand will cut more flights in the three months through October as it faces rising jet fuel costs and soft demand, particularly in its home market, Chief Executive Officer Nikhil Ravishankar said.

中文摘要 新西兰航空CEO Nikhil Ravishankar表示,因航空燃油成本上升和国内需求疲软,将在截至10月的三个月内进一步削减航班。

Gold Holds Decline as Iran Attacks Threaten Mideast Ceasefire

Gold held a loss after Iran fired several rounds of missiles toward Israel, jeopardizing efforts to end the Middle East war that’s upended global markets.

中文摘要 伊朗向以色列发射导弹,中东停火努力受挫,黄金延续跌势。

UK employers hiring more temps as staff costs rise

Companies wary of committing to permanent workers amid uncertain economic outlook, according to survey

中文摘要 调查显示,因经济前景不确定,英国企业不愿招聘正式员工,临时工招聘增加。

Plan to tighten healthy food rules provokes backlash from UK industry

Businesses warn that proposed changes to ‘nutrient profiling model’ risk stoking inflation and reducing investment

中文摘要 英国拟修改“营养分析模型”以收紧健康食品规则,企业警告此举可能推高通胀并减少投资。

Market Rout Puts Pressure on Indonesia to Deliver Concrete Steps

Indonesian authorities need to provide firmer policy guidance and unveil concrete steps to improve sentiment after last week’s selloff that pummeled stocks and the currency, according to analysts, who say investors will remain unconvinced by assurances alone.

中文摘要 印尼上周股市和货币遭抛售,分析师认为当局需出台具体政策提振信心,仅口头保证难以说服投资者。

Japanese Stocks Sink Tech Selloff, Middle East Worries

Japanese stocks sank, with tech shares slumping, after strong US jobs data fueled expectations that the Federal Reserve will keep rates higher for longer, sparking a selloff in AI-related shares on Wall Street.

中文摘要 美国强劲就业数据推高加息预期,科技股抛售蔓延,日本股市下跌。

Asian Stocks Drop as Tech Selloff Extends, Oil Up: Markets Wrap

Asian equities dropped for a third day as a selloff in tech shares gathered momentum and a robust US jobs report fueled expectations for an interest-rate hike by the Federal Reserve. Oil climbed after Iran fired missiles at Israel.

中文摘要 亚洲股市连续三日下跌,科技股抛售加剧,美国就业数据强化加息预期;伊朗袭击以色列推高油价。

M&S launches new traineeship for 1,000 young people

The scheme aims to tackle the "growing challenge" of young people not in employment, education, or training.

中文摘要 玛莎百货推出新培训计划,帮助1000名未就业、未受教育或培训的年轻人就业。

Corporate Japan Borrows More as Deals, Outflows Pressure Ratings

Japanese businesses are ramping up borrowing to cover cash shortfalls fueled by record merger activity, booming capital investments and mounting investor pressure for shareholder returns, putting their credit ratings at risk.

中文摘要 日本企业因并购活跃、资本支出增加及股东回报压力,借贷规模上升,信用评级面临风险。

第一次因为vibe coding这么高兴,很想和佬友们分享我的喜悦(大晚上很激动写的很长,如果吵到您的眼睛了我很抱歉QAQ)

楼主不是计算机相关背景的,大学本科学的是艺术管理(这是个艺术专业),但是毕业之后还是阴差阳错的来到了一家AI公司工作。楼主在大学还没毕业的时候非常喜欢AIRP,当时25年上旬吧,就非常想给自己手机qq上能随时整一个可以陪我聊天的bot,结果在b站刷到了一个astrbot的视频,命运的齿轮就此开始转动…… 在这之前我想讲讲我这两年的经历,非常的平淡,也没什么人听我说,但我真的太高兴了这个晚上,我必须要写出来点什么。当初我大三大四的时候还是文心一言的时代(2024),国内AI都特别笨呢,楼主那会不喜欢这个专业的对口工作,当时也不太关注AI,但是有一个AI相关的工作找上我来了,那我必须得去啊。是这样

揭秘一下 Premium 分组

这个分组坊间传得很神秘,其实也没传闻中的那么神奇,今天小编就给大家来揭秘一下。 简单来说,这是一个分组,进入这个分组后账号将获得以下能力: 独特的角标和变色头衔 多一个目前空白的版块 降低回帖最少字数限制 无限期编辑自己的帖子 每30天可改一次用户名 每3天生成1个邀请链接 可以看到,基本上除了第一个,都是需要额外消耗不少服务器资源的小能力。有那好提问的佬友会说:特么改个用户名也消耗服务器资源?这位看官,还真叫你给说着了,看看 discourse 官方怎么说的: 好了,以上就是对这个分组的揭秘介绍。如何开放这个分组,目前还没想好。不过,除了管理和版主之外,bohe 刚才也进了。 158 个帖子

【薄荷公益站】新增一些模型

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