与「LOGO」相关的搜索结果

现在完全证实了我的分析。就是卢比奥把黄仁勋拉下了马。他们用国家机器布了一个大局，让媒体充当打手。我一眼就看出来是怎么回事了，当时还有很多人不信。以我的经验复盘，黄仁勋犯了两个致命错误。第一，涉及强监管的行业，华盛顿“旋转门”和“K街送利”的是条潜规则的铁律！他却没有遵守。他以为和川普关系好，就等于和整个内阁关系好。他破坏规矩搞特殊化，没有给其他高官，尤其是鹰派，输送利益。如果他雨露均沾。承诺日后请他们当高薪顾问或通过K街送利，也不会被整得这么惨。第二，他没有给媒体输送利益。为什么那么多公司，比如银行，花钱在媒体上打广告，却只印一个自己的 logo？真的是为了商业宣传吗？在强监管行业，这么做就是为了和媒体搞好关系。黄仁勋以为自己做的是B端生意，靠产品说话就够了，不去打广告。结果破坏了潜规则，得罪了官员和媒体，最终被做局搞掉了。他在自己的公司，靠产品、靠技术说话，忘记了树大招风、社会险恶。

DAME TIME STRUCK IN THE 3Q ⌚️ ▪️ 13 points ▪️ 3 triples ▪️ 5-6 from the floor ▪️ Logo 3 to beat the buzzer A red-hot quarter en route to 25 points as the @trailblazers moved to 7-3 last night!

简直牛逼克拉斯！！ 你的 Opus 5.5 只需这25 个技能，就能顶一整支设计和视频制作团队。 在 GitHub 上合计约 87.6 万星。⬇️ 覆盖设计、视频、三维、动效、品牌多个维度，可以直接丢进 Claude Code，配上 Opus 5.5 来跑： 设计 • anthropic skills：官方仓库，前端和画布设计（约 19.3 万星） • impeccable：/polish /bolder /critique，少点那种一眼假的生成味（约 10.8 万星） • open-design：开源的智能设计工作台（约 10.7 万星） • hallmark：做出不像生成物的设计（约 5.3 万星） • huashu design：一句话进去，成品设计出来（约 2.9 万星） 视频 • hyperframes：写下 HTML，就能出片子（约 8.3 万星） • openmontage：智能体视频工作室，一百多种工具（约 8.0 万星） • video-shotcraft：电影感的产品宣传片（约 1.9 万星） • remotion skills：官方技能，用 React 做视频（约 6800 星） • animated shorts：三维世界里的短片卡通（约 2800 星） 三维 • blender mcp：让 Claude 来驱动 Blender（约 3.4 万星） • anatomy：把想法做成可运转的三维物件（约 2.7 万星） • unity mcp：让 Claude 操作 Unity 编辑器（约 1.6 万星） • universal-modder：给自己买过的 PC 游戏做模组（约 9600 星） • gamedev skills：77 项技能，从 Godot 到 three.js（约 8300 星） 动效 • gsap skills：官方缓动和滚动动效（约 1.8 万星） • garden skills：动效样片和网页影像演示（约 1.5 万星） • pixelfx：用代码写出 244 种像素效果（约 6900 星） • anything2explainer：丢进主题，得到讲解片（约 3200 星） • oil-motion：跟着滚动和指针走的动画（约 2900 星） 品牌 • guizang ppt：杂志风和瑞士风格的幻灯（约 3.0 万星） • stitch skills：Google 的界面设计技能（约 8700 星） • architecture diagrams：用文字描述，换来一张干净的结构图（约 7600 星） • logo design：从简报到 SVG 标志再到品牌手册（约 6600 星） • nothing design：单色点阵风格的界面（约 2900 星） 这些仓库都能公开拿到，多数是 MIT 或 Apache，许可以各仓库说明为准。片里每张卡片都对着一项技能做了三维展示。

最近聊了几个做稳定币业务的大哥，听到了不少有意思的故事。 其中一个故事是：有人专门给日本山口组的成员提供 U 卡服务。（他直接给我展示了那张卡，卡的背面印着山口组的logo） 大家都知道，在国内申请一张 U 卡，通常不需要支付制卡费。这个行业太卷了，很多公司恨不得免费发卡，先把用户拉进来再说。 但这位大哥告诉我，他们接触的这类客户，申请一张卡，光制卡费就要 100 U。 同样是一张 U 卡，不同的客户群体，价格可以差这么多。 聊着聊着，他给我总结了一句话：做稳定币生意，首先要想清楚，你是做白量，还是做灰量。 先说白量。 现在这个市场已经非常卷了。 有位大哥告诉我，如果做白量，稳定币行业 BD 的提成，过去还能做到千三，现在有些业务已经降到了万三。 从千分之三到万分之三，整整下降了十倍。很多中小型稳定币公司，如果没有独特的渠道、牌照或者产品优势，就只能和大公司拼价格、拼渠道，利润空间越来越薄。 再说灰量。 利润高的离谱，可能百三，但风险也更大。 涉及不合规资金、诈骗、非法博彩等业务，一旦被监管调查，可能就被关掉甚至进去了。 当然，也有从业者告诉我，市场上确实存在一些又做灰量、又做白量的公司。还不少。 当然，他们都有自己的生存之道。 还有一个有意思的新变化。 最近几位稳定币公司的从业者告诉我，一些做AI 短剧、短视频等业务的公司，也开始尝试接入稳定币收单。 目前整体规模还不算大，但新的支付需求已经出现。 而长期以来，稳定币在一些互联网广告、外贸、直播等行业里，采用的比较多。 特别是广告，包括那些成人内容的广告、博彩的广告、诈骗的广告等。 “量，特别大。”他说。 聊了一圈，我越来越觉得，稳定币行业是一个非常割裂的市场。 有人在做合规支付，辛辛苦苦拓展商户，BD 提成从千三卷到万三。 有人在做高风险业务，利润可能更高，但随时可能踩到监管红线。 还有一些公司，试图同时做两边的生意。监管松一些，就疯狂的跑灰量；监管一紧，就push底下的员工把白量客户拿到手。 稳定币是同一种工具，但流向不同的市场，就会成为完全不同的生意。

最近跟一些做企业 AI、出海产品的朋友聊，发现很多人在偷着干： 拿 DSH 搞定制交付，同时赚底层 Token 的差价 为什么这路子现在这么爽？ 因为以前你给客户交付一个聊天框，客户根本不会用。而 DSH 是 MIT 开源的，连界面和侧边栏全都是插件 你开 Creator Mode 让 AI 现场写个业务面板，或者直接装上社区现成的 dsh-media-desk、dsh-univer-office，改个 Logo 打包出去，客户看到的就是一套专属的桌面工作台（就这点，客单价直接翻几倍） 更爽的是后端的算力差价： DSH 跑多步任务和插件特别吃 Token，而客户自己去配各家官方 API 又贵又麻烦，你可以直接在 DSH 里赚差价， 比如，Custom model API 里接上 @HiLinkup_AI ： 1、DeepSeek V4.1 Flash：冲多少送多少+日常 4.8 折，直接干到 2.4 折 2、插件要用的模型全打折：千问 3.8 全系和生图 7 折，还有 Seedance 2.0，Claude 5.5 也 7 折 3、而且后台自带 Model Routes，你在客户端里只写死一个模型 ID，后台绑多个备用渠道，哪家限流自动切哪家 把底层 Token 成本砍掉 70% 到 80%，前面收软件定制费，后面长期吃 Token 差价，很香～ HiLinkup🔗： DSH 可视化插件市场🔗：

DAME CAUGHT FIRE IN THE 3Q! 🔥 13 points 🔥 3 triples 🔥 5-6 from the floor 🔥 Logo 3 to beat the 3Q buzzer He finished with 25 points as the @trailblazers moved to 7-3!

果然，赚钱最快的方法之一，就是当二道贩子。 1、有人专门盯 TikTok Shop、Amazon 的热门商品。 国外什么东西突然火了，就去1688、拼多多找同款货源，再拿到闲鱼、小红书上卖。 2、有人天天研究 Etsy、Gumroad。 看什么数字产品卖得好，比如 Notion 模板、Canva 模板、简历模板、旅行计划表。 研究完国内需求，重新做个中文版，挂到闲鱼、小红书卖。 3、有人每天蹲 Product Hunt、GitHub、Reddit。 发现好用的AI工具、工作流，就立刻整理成中文教程、提示词包、工作流模板，再去国内平台变现。 4、有人在 Fiverr、Upwork 上接单。 Logo设计、PPT、短视频剪辑、翻译。 接到单以后，再找国内自由职业者完成，或者用AI处理大部分工作。 自己只负责对接客户，赚中间差价。 5、有人专门研究 YouTube、Reddit 上的冷门教程。 AI、宠物、摄影、旅行、健身。 把国外已经验证过的内容重新整理成中文，发到抖音、小红书，再通过广告、带货、课程赚钱。 6、有人在拼多多、1688上找冷门高利润商品。 自己根本不囤货，直接挂到闲鱼。 有人下单，再去上家采购。 有时候连商品实物都没见过，差价已经赚到了。 7、有人用AI制作壁纸、海报、贴纸、婚礼邀请函、PPT素材。 整理成数字产品，挂到 Etsy、Gumroad。 一套东西做好以后，可以重复卖几百次、几千次。 8、有人专门研究国外已经跑通的小生意。 国外有人做AI代运营，就在国内给餐饮店、美容店、民宿做。 国外有人卖旅行攻略，就去小红书接定制攻略。 国外有人卖各种模板，就重新做成本土化版本。 你会发现，很多生意根本没有那么神秘。 无非就是： 这里的信息，那里的人不知道。 这里卖得便宜，那里有人愿意高价买。 这里已经验证过，换个平台再做一遍。 普通人想赚钱，很多时候根本不需要发明一个新东西。 只需要发现别人没注意到的信息差。

255M views on a 3D Short by Zack D. Films i tried to rebuild his style with ONE Claude prompt, then ran it on Opus 5.5 and Fable 5.2 (they did NOT make the same Short) the full prompt is below ↓ paste it into Claude Code in an empty folder and answer its 2 questions. it shows u the script and waits for ur go. u need Blender + its free MPFB add-on and a graphics card. give it a few hours (the prompt is minus one optional paid-voice line) Ask me 2 things, then wait: 1. The story in one line: a strange TRUE event where one person did one odd physical thing ("He tied 42 weather balloons to a lawn chair."). If I say "you pick", pitch 3 with one source link each and take the first unless I choose. 2. The voice. Default: Kokoro (free, runs on my computer), a calm, warm male narrator. Then tell me everything else is free: Blender (find my install, or tell me the one download), its free MPFB extension for human bodies (ask me before you install it) and into this folder a Python venv with FFmpeg (imageio-ffmpeg), kokoro-onnx + its model files (kokoro-v1.0.onnx and voices-v1.0.bin from the kokoro-onnx GitHub releases), faster-whisper (small.en), numpy and Pillow. It needs no API key or account and renders on my graphics card with EEVEE. The look: a clean, realistic 3D world, like a good game cutscene. Bright, saturated, a little filmic. - People: realistic bodies with generic faces and big readable expressions (shock, a smirk, a scream). Plain clothes, no logos. Never a real person's likeness: for a real person keep the face out of close-ups (hands, back, side, distance, straight top-down). - CALM shots only. Bodies in fast action or contact (running, jumping, fighting, falling) look stiff, so tell the story with frozen moments under a slowly moving camera, macro inserts of hands and objects, rooms, vehicles, the sky, top-down views and the aftermath. - One new picture for every caption chunk (2-4 words, about 1-1.5 s): a new framing, a new action or a camera move. Nothing ever holds still: every shot drifts, pushes in or orbits. - The shot kit: macro insert (extreme close-up of the key object or hands, very shallow depth of field), hero low angle (wide lens at waist height), god's-eye top-down with a slow rotate, tracked object, over the shoulder, smash zoom on the word that matters, whip pan between beats, glow highlight (the named object glows orange with a rim, then fades), a big 3D number lying in the scene, a thought bubble (a cloud ring showing what he hoped for), a TV in the scene replaying the event. - Light: a bright warm sun, blue sky with clouds, soft shadows. Night scenes use hard lamps and a dark sky. Wide lens up close, depth of field on every shot, motion blur on every fast camera move. - Captions: 2-4 words at a time, white bold rounded sans, about 64 px on a 1080 px-wide frame, centred, 78% down the frame, soft dark shadow, no box. Each chunk replaces the last on the same frame as its picture. - Banned: real footage, photos, downloaded textures or 3D models, logos, AI images or AI video, downloaded music, gore. 38-50 s, 100-140 words, 150-180 words a minute. The voice starts at 0.0 s. - Line 1: the most surprising physical act, in past tense, opening with "He" (or "She"). No name, date or setup. Frame 1 shows that act. - Then a cause-and-effect chain: every sentence starts with a hinge word (Then, Suddenly, So, Because, But, Later) and is ONE visible action. - The context arrives late, after "You see,". - A reveal: someone looks closer and the story turns. - The last line is the consequence. No call to action, no question. - Names are rare: use one only when it pays off. Title = "He ..." or "The Man Who ...". The cover is the first frame. Save every stage to disk so a crash never costs more than one stage. - sources.md: every fact with its link and the date you read it. Anything you can't verify stays out. - script.json: the lines and the caption chunks cut by hand (2-4 words, one picture each), each chunk with its shot: the set, the camera, what moves. - Kokoro reads the whole script in one take (speed 1.0-1.1) and pauses are squeezed to 0.35 s at most; faster-whisper times every word (pass it a 16 kHz numpy array, not a path); write chunks.json with each chunk's start and end. A picture and its caption switch together on frame round(start*30)+1. - blender/: Python scripts run headless (blender -b -P). makes one .blend with the sets, the cast, the props and every shot baked with a key on every frame. sets EEVEE with ray tracing, the AgX view with the Punchy look, motion blur, depth of field and bloom in the compositor. Bodies come from MPFB or are built by you; clothes, hair, props and sets are built in code. - Stills first: one half-size still per shot as a contact sheet. Look at every tile and fix what's off before any full render. Time one full-size frame and tell me the estimate. - Render 1080x1920 at 30 fps to PNG frames, skipping frames already on disk. - numpy only: a light music bed, a sound on every action (a whoosh on each whip pan, hits, wind, room tone), ducked under the voice, mastered to -14 LUFS on the whole stereo mix. - burn the captions in from chunks.json. Encode out/_9x16.mp4 (1080x1920, 30 fps, TV-range yuv420p) and out/_x_7x8.mp4 (1008x1152, under 10 MB, 2-pass): a crop of the 9:16 frame that keeps the subject and the caption. - Blender paths: pass absolute output paths (a relative one lands on the drive root). - MPFB headless: enable it with addon_utils.enable("bl_ext.user_default.mpfb"). Bake a body's shape keys before you pose it: the rig is fitted to the baked shape. - Clothes: cut them from the body mesh and push them 7-16 mm out along the normals; keep two rings of body faces under every hem. - Nothing coplanar: keep every resting object 1 cm off its neighbour and draw ground markings into the texture, or they flicker. - Hair: EEVEE draws hair only from a Curves object, hair type STRIP. Use a Principled BSDF on it (the Hair BSDF renders black). - Skin: keep subsurface weight near 0.2 (more turns faces black in EEVEE) and add a soft fill light from below under a noon sun. - Hands: a curled hand reads as a claw from the palm side, so shoot a grip from behind the knuckles. - Motion blur: shutter position START, a key on every frame, plus a key half a frame after each shot's last frame, so blur never reaches across a cut. - Check: run a black-frame and one-frame-flicker check on the render. Make a contact sheet (a frame every 0.5 s) and look at every tile: the act reads in the first 2 s, faces are lit, nothing clips through anything, captions stay off faces and key objects. Then step through the first 2 s, the middle and the end frame by frame. Fix, render only the changed shots again. Pitch (or take my story), then show me the script with the word count, the caption chunks with their seconds and the shot list with what the first frame shows. Build nothing until I say go. how the two runs went: one run each on the same PC, so it's one sample, not a ranking. both took under 3 hours on one shared 8 GB graphics card. the story for both: a man who tied 42 weather balloons to a lawn chair in 1982 where they split: -> Opus opened wide on the balloons over the yard. Fable opened on the man kneeling at the chair with his Jeep behind him -> Opus put 5 big 3D numbers in its scenes, Fable 2 -> Fable followed the caption spec (white text, soft shadow). Opus went ALL CAPS with a thick outline -> Fable pulled the Smithsonian's own record and ended on the chair in the museum. Opus ended on the $1,500 fine -> a few Opus shots are hazy and one opens on a blank grey frame save this for ur next Short. who did it better, Opus or Fable?