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什么火了什么火了V2EXV2EX微博微博哔哩哔哩哔哩哔哩新浪新闻新浪新闻新浪网新浪网GitHubGitHubCSDNCSDNIT之家IT之家36氪36氪少数派少数派虎嗅虎嗅稀土掘金稀土掘金Hacker NewsHacker NewsProduct HuntProduct Hunt网易云音乐网易云音乐淘宝逛一逛淘宝逛一逛App StoreApp StoreAdafruit BlogAdafruit BlogAIbaseAIbaseAnt Bailing Developer BlogAnt Bailing Developer BlogAnthropicAnthropic小众软件小众软件AppleAppleAppleInsiderAppleInsiderArs TechnicaArs TechnicaBerkeley AI ResearchBerkeley AI Research半月谈半月谈BBC NewsBBC NewsBD Tech TalksBD Tech TalksBerkeley RDIBerkeley RDI新京报新京报BloombergBloombergBoston Dynamics BlogBoston Dynamics Blog商业科技媒体商业科技媒体ByteDance Seed ResearchByteDance Seed ResearchClaude BlogClaude BlogClaude Code ReleasesClaude Code ReleasesCloudflare BlogCloudflare BlogCMU Machine Learning BlogCMU Machine Learning Blog国内科技媒体国内科技媒体博客园 / 开源中国博客园 / 开源中国酷安酷安crates.iocrates.ioCrowd SupplyCrowd SupplyCSS-TricksCSS-Tricks51CTO51CTOCult of MacCult of MacCursor BlogCursor BlogDeepLearning.AI · The BatchDeepLearning.AI · The BatchGoogle DeepMind BlogGoogle DeepMind BlogDeepSeek NewsDeepSeek NewsDescript BlogDescript Blog设计社区作品榜设计社区作品榜DEV.toDEV.to数字尾巴数字尾巴Docker HubDocker HubEleutherAI BlogEleutherAI Blog英文科技媒体分类 feed英文科技媒体分类 feed英文科技评测与行业媒体 feed英文科技评测与行业媒体 feedEngadgetEngadget中央媒体电子报中央媒体电子报FlathubFlathubfreeCodeCampfreeCodeCamp极客公园极客公园果核剥壳果核剥壳Gitee 与 GitLabGitee 与 GitLabGitHub 周刊仓库GitHub 周刊仓库GoogleGoogleHackadayHackadayHelloGitHubHelloGitHubHomebrewHomebrewHugging FaceHugging FaceHugging Face 官方组织新模型Hugging Face 官方组织新模型IEEE SpectrumIEEE Spectrum爱范儿爱范儿inclusionAIinclusionAIIndie HackersIndie HackersInfoQInfoQIT之家与快科技IT之家与快科技掘金 / InfoQ掘金 / InfoQMoonshot AI KimiMoonshot AI KimiLinux.doLinux.doLMSYS BlogLMSYS BlogLobstersLobstersLWN.netLWN.netMacRumorsMacRumorsMake: MagazineMake: MagazineMaven CentralMaven CentralMediumMediumMeituan LongCatMeituan LongCatMeta AI BlogMeta AI BlogMeta EngineeringMeta EngineeringMidjourney UpdatesMidjourney UpdatesMiniMaxMiniMaxMIT News · RoboticsMIT News · RoboticsMIT Technology ReviewMIT Technology ReviewMozilla.ai BlogMozilla.ai BlogNew Atlas · RoboticsNew Atlas · RoboticsNews Hacker|极客洞察News Hacker|极客洞察9to5Mac9to5MacNodeSeekNodeSeek牛客牛客NuGetNuGetNVIDIANVIDIAOpen Robotics BlogOpen Robotics BlogOpenAIOpenAIOpenRouterOpenRouterPackagistPackagist远景论坛远景论坛人民网人民网PhoronixPhoronixPlanet ROSPlanet ROS吾爱破解吾爱破解时政媒体时政媒体PyPIPyPIQoderQoderQwenQwenRFC EditorRFC EditorRobohubRobohubRobotics & Automation NewsRobotics & Automation NewsRobotics TomorrowRobotics TomorrowROS DiscourseROS DiscourseRubyGemsRubyGemsRunwayRunwaySecurityOnlineSecurityOnlineServeTheHomeServeTheHomeServiceNow AIServiceNow AI新浪新浪SlashdotSlashdotSmashing MagazineSmashing MagazineSolidotSolidotStack OverflowStack OverflowStack Overflow BlogStack Overflow BlogSubstackSubstackSuno BlogSuno BlogSynced ReviewSynced Review技术博客与 newsletter feed技术博客与 newsletter feedTechCrunchTechCrunchTech Xplore · RoboticsTech Xplore · Robotics腾讯新闻栏目腾讯新闻栏目The DecoderThe DecoderThe GradientThe GradientThe RegisterThe RegisterThe VergeThe Verge澎湃新闻澎湃新闻Tindie BlogTindie BlogTom's HardwareTom's Hardware今日头条今日头条Transformer CircuitsTransformer Circuits优设网优设网UiverseUiverseVentureBeat · AIVentureBeat · AIWiredWiredxAI NewsxAI News小鹅通小鹅通新华网新华网Zhipu AI ResearchZhipu AI ResearchCISA KEVCISA KEVNVDNVDOSV.devOSV.dev

科技热榜

20分钟前更新
  • 01
    Proactive agent for business workZac Zuo
  • 02
    Cloud simulators built for agentsExponent
  • 03
    AI that guides users through your appHimanshu Kumar Pathak
  • 04
    Move data using your terminal or agent. Fast & open source.fmerian
  • 05
    Personal analytics engine across health, finances, & socialLouis Moon
  • 06
    Trading cards, literally digital cards with tokenized stocksGami
  • 07
    Spike alerts for your keywords in Telegram, Claude, ChatGPTBohdan Bondarchuk
  • 08
    Create product videos and courses from any AI chatKevin William David
  • 09
    Create cloud infrastructure visually and review every changeKerem D
  • 10
    Powerful content editor for people who aren’t editorsRohan Chaubey
  • 11
    Turn Webflow/Framer app into a Claude/Codex project for freeGarry Tan
  • 12
    Fast agentic development for codersAnkit Sharma
  • 13
    Google’s $30 Android-ready tracking tagJustin Jincaid
  • 14
    WHOOP's social network built around real health dataJustin Jincaid
  • 15
    Supabase dashboard & SQL editor for AndroidTanay
  • 16
    A companion you talk to while you play WoWPatrick Moumiet
  • 17
    Rive animation templates you can drop into your appManuel Diaz
  • 18
    Claude Code, Codex & Cursor limits, paced in your menu barYozhef Hisem
  • 19
    A breadboard simulator with real physics, in your browserDev Kapadia
  • 20
    Add Claude to your call and get work started as you talkKP
  • 21
    Your Mac Dock, with live widgets for the apps you useAntoniel Mariano
  • 22
    Room to build on your Mac, even with 20 agents at onceRachid Al Maach
  • 23
    Team memory of meetings and calls, on our own speech modelsAndreas Argelius
  • 24
    Bookmarks you can query to find the things you savedKim
  • 25
    Open source graph database for your AI agentsBen Lang
  • 26
    Your AI GTM engineer to build signal based go-to-marketKevin William David
  • 27
    Codex for creative teamGarry Tan
  • 28
    Select text, tap Shift twice, it's a markdown fileMohak Bajaj
  • 29
    Free, private, open-source alternative to GranolaChristian Mathiesen
  • 30
    The agentic conversational storefront for consumer brandsKevin William David
  • 31
    AI voice agents that call your customers for youClinton Folaranmi
  • 32
    Lease abstraction, wired to your model.Scott Weiss
  • 33
    Give your AI agents a place to build, run, and shipJustin Jincaid
  • 34
    Let your coding agent design in your open Figma fileSabarish Sanjay
  • 35
    Find out how your AI agent fails. Before your users do.Bryan Lee
  • 36
    Walkie-talkie meets AirDrop meets MessagesDominik Kandravý
  • 37
    Long-term memory for agents, across every harnessGarry Tan
  • 38
    Managed Node.js hosting. Always warm, never off.Zac Zuo
  • 39
    A simulated world that makes your agent improve on every runfmerian
  • 40
    Edit your website like Figma!Garry Tan
  • 41
    The One Platform for Scaling your Agentic Appsfmerian
  • 42
    Beautiful weather timelines and countdowns to what's next.David Abbet
  • 43
    The Al agent that advances your mattersJustin Jincaid
  • 44
    A cloud drive you stream to give your laptop infinite spacejohnny makes ⚡️
  • 45
    Create and edit faster with AI across Adobe appsRohan Chaubey
  • 46
    Your screenshots named automaticallyChris Messina
  • 47
    Natural Language to Terminal CommandsPaul Fleury
  • 48
    Smarter marketing through Agent-recommended experimentsfmerian
  • 49
    The MCP server for identity verification and fraud checksAlberto Rosas
  • 50
    Run Claude Code, Codex & OpenCode as one AI teamYiğit Güldal
  • 01
    Language model (LM) alignment improves model outputs to reflect human preferences while preserving the capabilities of the base model. The most common alignment approaches are (i) reinforcement learning, which maximizes the expected reward under a KL-divergence constraint, and (ii) best-of-NNN alignment, which selects the highest-reward output among NNN independent samples. Despite their widespread use, the fundamental limits of reward improvement under a KL budget remain poorly understood. We c
  • 02
    This paper was accepted at the Can We Trust AI Evaluation? Workshop at NeurIPS 2026. We evaluate how good large language model (LLM) judges are for personalized writing tasks. This is important when a user’s preferred writing style is known (e.g., “upbeat”) and an LLM judge is used to evaluate whether generated text adheres to this preference. We examine how the writing task, the combination of generator and judge LLM, the evaluation objective, and general commonsense and reasoning ability impac
  • 03
    State Space Models (SSMs) have emerged as a compelling alternative to Transformers, enabling sequence modeling with constant memory and linear compute. Although SSMs exhibit reasonable performance and favorable computational characteristics, they continue to lag behind Transformers on tasks that require in-context learning and precise retrieval, slowing their adoption for large-scale language modeling. In this work, we demonstrate that both the success and failure of SSMs in these domains can be
  • 04
    This paper was accepted at the Workshop on Personalized, Aligned, Long-term Memory for AI Systems (PALM) at NeurIPS 2026. State space models (SSMs) combine fast inference and fixed state size with competitive language-modeling performance. Recently, state souping has been proposed as a procedure whereby an SSM independently encodes chunks of tokens like documents, tool definitions, or memory records. The resulting state encodings may be cached and recombined to cheaply construct a context for do
  • 05
    Maximum inner product search (MIPS) sits at the core of recommendation systems, search, and retrieval-augmented generation (RAG). Given a query vector, MIPS systems search within a database of millions of candidate key vectors for the one that best matches the query. The original data point associated with that best-matching key is then used to handle the query: in RAG, the document that is best suited to answer the question is typically prefixed to the query. As the number of keys grows to mill
  • 06
    State Space Models (SSMs) such as Mamba have become a popular alternative to Transformer models, due to their reduced memory consumption and higher throughput at generation compared to their Attention-based counterparts. On the other hand, the community has built up a considerable body of knowledge on how to train Transformers, and many pretrained Transformer models are readily available. To facilitate the adoption of SSMs while leveraging existing pretrained Transformers, we aim to identify an
  • 07
    We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a representation of the subject’s geometry and appearance offline, and an animation stage that predicts expression-dependent residuals on top of it at runtime. This separation offers a favorable trade-off with respect to fidelit
  • 08
    While foundation models and vision transformers (ViTs) have redefined visual representations, current active learning (AL) strategies for these backbones largely operate at the patch or region level, where annotation requirements remain high due to extensive pixel labeling. Extending ViT-based AL to the pixel-level, low-budget regime is uniquely challenging: with as little as one pixel query per image, a method must simultaneously identify the most informative locations and train a reliable deco
  • 09
    MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and fine-tuning methods on their own hardware and explore other AI techniques. In a previous post , we highlighted the advantages of the M5 architecture and its GPU Neural Accelerators.
  • 10
    Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge, we introduce Selection-based Structured Reasoning (SSR), a framework that reformulates reasoning as selection instead of open-ended generation. SSR represents recurring high-level reasoning as pre-specified, reusable natur
  • 0131
    上面这张 3072×4096 的 HEIC 照片,Chrome 和 Firefox 都打不开。右边写着"你的浏览器:打不开",左边的画面是 Sdcb.SimdCodecs 编译成 WebAssembly 后在浏览器里解出来的,黄色网格是文件里的 48 个 HEVC tile。 上周我写了《SimdC ....NET骚操作
  • 0219
    把两张照片交给程序,得到一个人脸相似度,已经能解决不少问题。但如果有人把参考照片举到摄像头前,画面里还是那张脸。相似度再高,也回答不了镜头前的人有没有在做动作。 SimdFace 1.1.0 给照片比对加上了摄像头核验。浏览器采集画面,.NET 后端检查随机转头、闭眼再睁眼或张嘴再合嘴,结合防翻拍模 ....NET中文开源社区
  • 0317
    上面是一张 3072×4096 的手机 HEIC 照片,Chrome 打不开。左边的画面是 Sdcb.SimdCodecs 2.0 编译成 WebAssembly 后在浏览器里解出来的。右边的「解码选项」里,我选了 1/4 缩放,所以解码输出直接就是 768×1024,中途不会先生成一张 1200 ....NET骚操作
  • 0417
    一年一度的 .NET Conf 又要开了。今年的时间是 11 月 10 日到 13 日(太平洋时间),全程线上、免费。重头戏不用多说——.NET 11 正式版会在大会第一天发布 ...张善友
  • 0516
    我们每天都在和 AI Agent 协作。 让它读代码、查资料、排故障、理思路。过程中总会冒出一些好问题,也会踩过一些坑,最后形成一套亲测有效的解法。 可对话一关,这些经验就散了。 散落在会话记录里,散落在临时笔记里,散落在“下次一定整理”的待办里。 现在,博客园正式推出 cnblogs-publis ...博客园团队
  • 0616
    上次在博客园写 SimdSkia,还是 《纯 C# 追上 Skia?Avalonia 绘制耗时降了 59%,CPU/GPU 与内存实测》。当时是 0.1.0-preview.8,主要讨论通用 x64 Native AOT 下的几个 Avalonia 页面,以及减少原生依赖后的发布体积。 现在 0.1 ....NET中文开源社区
  • 0715
    上面是 sdcb.ai/arithmetic/chaos 的精度阶梯:同一个洛伦兹系统、同一个起点、同一个 RK4 积分器,每条轨迹只有舍入的位数不同。24 位的 float 在 t = 21.3 叛逃,53 位的 double 在 t = 42.7,2.0 新增的三个类型分别撑到了 83.0(Do ....NET骚操作
  • 0814
    .NET 11 正式版已经放出。这版是 STS(标准期限支持)版本,官方支持两年。需要长周期支持的团队继续用 .NET 10 LTS 就行,两者质量策略一样,只是支持时长不同。 ...张善友
  • 0914
    这是一个删除动画:选中的内容被吸进黑洞,周围的内容跟着弯曲,点撤销再转出来。它是一个 Avalonia 控件,写在 C# 里。 TKCode.Arc 1.0.0 今天正式发布。这是我做的一套 Avalonia 12 组件库,MIT 协议。这篇不讲情怀,主要讲它怎么搭起来的:设计令牌、弹簧动效、性能规 ...239573049
  • 1011
    今天给大家分享 5 个主流的逆向工具,这 5 个正好从浅到深各管一段,从截图反推页面代码,到拦下流量看接口,再到拆 APK、读回 Java 源码,最深的直接啃机器码。测试同学抓包排障、看闭源 SDK、做安全分析,总有一个在后续某天工作上能用得上。 screenshot-to-code:截图生码 先说 ...狂师
  • 1111
    2026-11-06,从一个句子的需求,到一部 600 秒、1920×1080、60fps 的《GIS 简史》成片。 画面、配乐、音效、旁白全部由代码生成,没用一个素材文件。 这篇文章不讲"AI 多神奇",只记怎么做的、在哪卡住的、哪些判断必须人来做。 一、先说结果 项 数值 成片 600.000 ...我才是银古
  • 1210
    你肯定也有过这种体验: 在网页版 AI 上聊得火热,让它帮忙分析了份数据、写了段文案。结果第二天想继续,它全忘了;想让它直接改改你电脑里那份 Excel,对不起,它碰不到你的文件;想让它每天早上自动给你汇总资讯,更是想都别想。 网页版 AI 说到底是个「电话客服」——你打过去,它很热情;你挂了电话, ...小田学Python
  • 1310
    面试官高频考点!一条电商客服链路串讲 LLM、RAG、Agent、MCP。附五层架构、余弦相似度数学细节、可直接复用的 Spring AI 生产 Java 代码,拆解检索瓶颈、MCP 裸奔风险、Agent 死循环等 16 个落地坑,配套 13 道面试速答。Java 后端转 AI 工程化、面试突击好文... ...Rain的Java大神实战圈
  • 148
    目录前言ExecutionContext 的作用上下文流动示例ExecutionContext 中的数据Activity.Current 与 Tracing 上下文上下文如何流动捕获当前上下文常见的传播入口线程与线程池中的上下文流动新建线程与线程池回调Thread.Start 的捕获与执行线程池回调 ...黑洞视界
  • 157
    上个月给一个后端服务加数据校验,需求不复杂:几个核心接口的入参做运行时校验,老调用方不能受影响。我把需求整理成一段结构化描述丢给编码助手,几分钟后,六个文件被改完,顺手还补了几个单测。类型检查通过,测试全绿,终端里一排对勾。 我当时挺得意的。第二天联调,问题全冒出来了:null 和 undefine ...codigger
  • 167
    简单电视投屏 6.0.3 beta发布:一个按钮,把电视投影仪变成我们的第二块屏 小伙伴们,好久不见。 距离上次我们更新,已经过去了快两个多月了。 今天还是想继续和大家聊一件"小事"——投屏。 很多人觉得,投屏嘛,不就是看个广告再扫码配对一下的事吗。但把这一件小事持续做好、做简单、做平稳、做成一件未 ...eguid
  • 176
    调和分析 · 傅里叶级数(FS) · 傅里叶变换(FT) · 离散傅里叶变换(DFT) · 快速傅里叶变换(FFT) 本文为作者学习笔记,不喜勿喷。本文内容较多,如有需要请自行点开目录跳过些许内容。本文流程图需在亮色风格下才会看见箭头哦。 序章:整体概念 graph TD A[调和分析:研究 “任何 ...beiciqi
  • 185
    规范清晰・减少冲突・协作高效 几年前我接手过一个六人小团队,代码写得不算差,但协作方式很 "野生":所有人挤在一个分支上开发,上线前一周全员解冲突,一解就是一个通宵。 更糟的是有一次线上出 bug,值班同学直接在 main 上改了几行,验证没问题就发了版 —— 两周后新版本上线,同一个 bug 原地 ...codigger
  • 195
    文章盘点了2026年6个Blazor开源UI组件库(MudBlazor、Ant Design Blazor、Bootstrap Blazor、Polhem、ElementPlus-Blazor、DirectSurface),按定位差异分类,并从“写UI还是写系统、国内还是国外、常规后台还是特殊形态”... ...码农刚子
  • 205
    你 dotnet restore 拉依赖的时候,技能文件已经悄悄躺在你电脑的包缓存里了。AI 不需要再去猜这个库怎么用——说明书就在包里,而且和版本精确匹配 ...张善友
15分钟前更新
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    排名:1 · 版本:0.17.1 · A Rust port of Google's SwissTable hash map · 累计下载:3,088,001,969 · 近期下载:905,304,113
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