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K-POP IDOL Day Off Vlog Image: GPT Image 2 Video: Seedance 2.0 on @DomoAI_ ======================= Prompt: 15 seconds, 16:9. Main subject from @ Image1 — lock her completely. Face, skin tone, body, hairstyle, and outfit must remain perfectly identical throughout the entire video. She wears a sleeveless green-and-white striped ribbed knit mock-neck top with a red-and-white striped collar, medium-wash loose straight-leg high-waisted blue jeans, and simple white low-top sneakers. No bag. Long straight dark brown hair with a center part. Korean woman, 20 years old, naturally beautiful with the effortless charm of a modern K-pop idol. The entire video is filmed exclusively as a handheld front-facing smartphone selfie vlog. The phone is always in her own hand. There are absolutely no third-person shots, no external camera, no tripod, no cinematic coverage, and no impossible viewing angles. Every shot is from the perspective of her personally recording herself during a relaxing day off. Modern Seoul residential neighborhood. Quiet apartment complexes, tree-lined sidewalks, small neighborhood park, convenience store, peaceful alleys, warm summer morning light. Everything feels authentic and lived-in. Natural smartphone selfie camera language only. Slight arm movement, subtle handheld shake, natural walking bounce, occasional autofocus adjustment, realistic exposure adaptation, small framing imperfections, slight rolling shutter while walking, natural lens distortion from the front camera, occasional brief glances at the screen to check framing. Crisp modern smartphone image quality with realistic HDR and natural colors. No cinematic grading. No vintage effects. Scene 1: She leaves her apartment building while holding the phone at arm's length. She smiles naturally into the selfie camera and says, "오늘은 쉬는 날이라 그냥 산책 나왔어요." ("It's my day off, so I just came out for a walk.") Scene 2: Still filming herself, she enters a convenience store, opens the refrigerator with one hand while holding the phone with the other, picks up an iced coffee, smiles at the camera and says, "이거 마셔볼게요." ("I'm going to try this.") Scene 3: Holding the phone herself, she walks slowly through a quiet neighborhood park while sipping her coffee. She looks up at the trees, smiles, then back into the camera. "오늘 날씨 너무 좋다." ("The weather is so nice today.") Scene 4: She notices a friendly stray cat beside the sidewalk. Still filming herself, she lowers the phone slightly so both she and the cat remain in frame, crouches down and smiles. "안녕~ 귀엽다." ("Hi~ You're so cute.") Scene 5: Continuing her walk, she talks casually to the selfie camera while brushing her hair behind one ear. "이렇게 평범한 하루가 제일 행복한 것 같아요." ("I think ordinary days like this make me the happiest.") Final scene: While continuing to walk, she smiles directly into the front camera, waves with her free hand and says, "다음 브이로그에서 만나요. 안녕!" ("See you in the next vlog. Bye!") She laughs naturally, lowers the phone toward her side, and the recording ends exactly as if she pressed the stop button herself. Audio is entirely natural. Her live Korean voice, footsteps, soft wind, birds, distant traffic, convenience store ambience, leaves rustling, occasional cat meow. No background music, no narration, no cinematic sound design, no added effects. #DomoAI#
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TOKYO TRAVEL VLOG🗼 Image: GPT Image 2 Video: Seedance 2.0(DomoAI) ======================= Prompt: TOKYO TRAVEL VLOG — 15 SEC MUSIC CUT Subject: Same girl as the reference images. Young Korean idol-like woman in her early 20s. Long straight black hair with soft natural volume, fair porcelain skin, large bright expressive eyes, delicate V-line face, small nose, natural glossy lips, fresh minimal makeup, effortlessly cute and approachable expression. Casual Japanese streetwear (white hoodie / dark oversized hoodie / oversized jacket). 26mm phone lens, deep focus, realistic skin texture, mild HDR, neutral iPhone color science, unedited candid, no cinematic grading, no studio lighting, no light trails, no motion blur effects. (0:00–0:01) — walking shot, Tokyo Tower reveal Selfie, low angle. Tower behind her, sky overexposed. Natural smile. Neutral daylight, deep focus. Dialogue: "드디어 도쿄에 왔어요...!" Transition: Hard cut / beat drop (0:01–0:02) — Shibuya Crossing Mid-stride into crowd. Turns head toward camera. Neon signs sharp behind her. Real night exposure. Transition: Fast cut on beat (0:02–0:03) — Convenience Store Holds onigiri up to camera, eyebrows raised. Harsh fluorescent interior. Cool white light, realistic skin. Transition: Snap cut on beat (0:03–0:04) — Yoyogi Park Seated, looking away. Dappled light, lens smudge visible. Music drops one beat — wind, birds — snaps back. Transition: Cut on natural movement (0:04–0:06) — Takoyaki Reaction Bites, eyes wide, pulls back laughing. Warm practical lantern light. Realistic skin in amber. Dialogue: "뜨거워! 진짜 맛있어!" Transition: Cut on laugh end (0:06–0:07) — Vending Machine Night Stands before glowing vending machine. Mixed LED light on face. Slight smirk. No glow fx. Transition: Single beat cut (0:07–0:08) — Train Window Face reflected in window. City blurred naturally outside. She looks out, not at camera. Transition: Snap cut (0:08–0:09) — Torii Gate Low angle. Walks toward and through shrine gate. Gate fills top of frame. Natural daylight. Transition: Snap cut (0:09–0:11) — Digital Light Exhibit ★ SIGNATURE Looks up slowly. Blue, violet, gold projection on face. Rack focus — face sharp, lights diffused. Just projection on skin, no bloom. Speed: ~60% slow motion Transition: Soft cut mid-upward motion (0:11–0:12) — Gundam Reveal Face → camera tilts up → full statue in frame. Small impressed smile. Wide angle, natural daylight. Transition: Sharp cut after smile (0:12–0:13) — Lantern Alley Follow from behind. Lanterns warm, shadows dark. Natural low light. She glances back once. Transition: Cut on forward movement (0:13–0:14) — Rooftop Skyline Close selfie → arm extends → skyline revealed. Wind moves hair. Natural night phone exposure. Dialogue: "이런 야경은 처음 보는 것 같아요." Transition: Hard cut on last word (0:14–0:15) — Nara Deer Park, She crouches, holds out a deer cracker. Deer bows toward her — she bursts out laughing. Another nudges her from behind, she nearly topples. Handheld, slightly off-balance. All real. Dialogue: "잠깐! 진짜 절했어!" Transition: Fade to black @DomoAI_ #DomoAI#
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肝了几个小时,用@DomoAI_ 把「星际穿越」的预告片重制成了动画版,效果感觉还行?
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is worth checking out for recon and external attack surface management. It doesn't just list subdomains. It verifies them and grabs screenshots. It checks for takeover risks and flags open ports. All in one scan. The free tier gives you 2 domains/day with no account needed. It runs entirely in the browser. No setup. No agents. Visit: #SubdomainFinder# #AttackSurfaceManagement# #CyberSecurity# #Recon# #BugBounty# #OSINT# #InfoSec# #SubdomainTakeover# #SecurityTools# #Pentesting#
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Bon, faut faire quoi pour trouver un taff en France? Intérim, pas d’offres. Je postule, des refus de partout. Pourtant, je suis bilingue, j’ai de l’expérience dans plusieurs domaines et à l’étranger mais personne veut me recruter pitié je veux travailler aidez-moi
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软件工程这个行业未来即将大变天,包括编程语言。 就像 Elon Musk 说的一样,从第一性原理来看即将变天:现在我们用的传统编程语言 efficiency 不够高,马上就有一套新的范式出来。现在很多人已经做出了雏形。 举个例子:最近那个 React Native 的 SaaS 叫 Expo,他们的老板是之前 Quora 的 CTO。他 follow 了我,然后我发现他做了一套新的 domain-specific language 来描述 UI,并且做了一套 Rust 的跨平台框架。 这套东西未来肯定会替代 Electron,但是 iOS App 的话不好说,桌面端肯定是,绝对会天翻地覆。 但我们也不需要 FOMO,因为这个东西最强的地方就在于:我们现在不去投资也没有关系,未来重写很容易
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The Across domain is currently down while we secure it against an attack from earlier today. At ~18:45 UTC, a social engineering attack on @Namecheap (our domain registrar) gave a bad actor control of the Across domain. Within 15 minutes of this attack, we were alerted and immediately worked to shut the site down. SEAL911 marked across.(to) as a phishing site with major wallets, and Cloudflare worked with us to mark the domain as at risk, and later pulled the site’s DNS records. At the time of this post, Across.(to) is fully down, and the phishing site is no longer available. In the brief period before Cloudflare fully blocked the malware site, some users who visited across.(to) may have been affected. No third-party integrations or API users were affected. Users who believe they were affected should DM us with transaction details and revoke attacker permissions (see next tweet for details). Despite our best efforts, @Namecheap has been unresponsive, and we have not been able to properly secure the domain to bring Across’s services back up. Across’s frontend and API will remain down until we can properly secure them. We will always put user safety first. Across’s domain was fully locked down with best-in-class security practices; this unauthorized takeover should not have been possible. We will be investigating this deeply and will provide a post-mortem on how this domain takeover was possible once we have more information.
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🚨 ALERT 🚨 We're currently investigating an issue with the Across domain. Do NOT visit the app, connect your wallet, or sign any transaction or approval there until further notice. We will post updates as we have them.
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经常用 AI 写代码的朋友们,可以了解一下领域驱动设计(DDD)这个概念。它的英文全称是 Domain-Driven Design。 平时做开发,很多人习惯先建数据库表、写增删改查,然后把一堆复杂的业务判断散落在控制器和前端组件里。一旦需求变多,字段和逻辑到处缠绕,改一个地方就坏一片。 DDD 的核心思想,就是把重心从底层的数据库和框架,拉回到真实的业务本身。在动手敲代码之前,先理清楚现实业务里的概念、规则和流转关系,让代码直接反映业务本身的逻辑。 在传统软件工程里,落地 DDD 通常围绕三个核心动作展开。 第一个是建立统一语言(Ubiquitous Language)。 在整个项目里,把所有的业务名词定下唯一标准。同一个业务概念,不能在需求里叫客户,在代码里叫用户,在数据库里又叫账号。统一了词汇表,沟通损耗直接抹平。 第二个是划分限界上下文(Bounded Context)。 再大的项目,也不能揉成一团。按照业务职责把系统切分成几个明确的独立边界。比如电商项目里,商品展示、库存流转、支付结算各自是一个独立的上下文,每个上下文只管好自己的规则,跨边界调用只通过清晰的接口契约进行。 第三个是构建充血的领域模型。 不要写那种只有字段、没有业务行为的空壳数据类。把属于某个实体的业务校验、计算逻辑和状态流转,直接封装在实体内部,让核心业务逻辑保持稳定。 搞懂了这套心智,在 Vibe Coding 时代跟 AI 协同就会顺手得多。 大模型写具体代码的速度极快,但它本质上是个概率系统。你给它一段模糊的需求,它顺着概率去猜,必然会胡乱生成一堆缺乏边界的胶水代码。 结合 AI 使用 DDD,最舒服的姿势是做好分工:人类负责搭建领域模型与划定边界,模型负责高效地补全具体实现。 具体的最佳实践可以总结为以下四步: 第一步,建立全局的领域词汇表与契约文件。 在项目根目录的规则文件或者系统提示词里,花几分钟把核心实体名词、状态枚举和核心行为定义清楚。给大模型一套毫无歧义的统一语言,它在命名变量、写类型定义和生成接口时就不会前后打架。 第二步,按照限界上下文限制 AI 的注意力范围。 不要试图让大模型一次性通读并理解几万行的大工程。按照业务边界把代码组织成清晰的模块。每次派发任务时,只把当前上下文里的实体定义、接口契约和相关文件喂给模型。把上下文体积控制在极小范围,模型的幻觉和误改率会大幅下降。 第三步,明确要求模型把规则内聚在实体内部。 给 Agent 提要求时,限制它不要在外层写一堆零散的条件判断补丁,而是把业务规则封装在对应的领域实体里。外层的调用代码越干净,后续让模型修改逻辑或者新增特性时,波及的范围就越小。 第四步,用行为测试作为确定性契约。 在让 AI 敲具体实现之前,先把领域实体的行为测试用例立起来。跑测试通过了才算交付。用严格确定性的单测和编译器,把大模型的概率漂移稳稳按在轨道里。 人类理清概念与划定边界,AI 负责快速落地代码。
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