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"Her lawyer's interpretation is that she is the final voice, she is the only voice." @ShamsCharania gives more insight on Jeanie Buss contesting her family's vote to sell their stake in the Lakers 👀 (via @PatMcAfeeShow)

"They believe that they are allowed to sell even without [Jeanie Buss] because of what's called the tag-along provision. ... So guess where this ends up? Amongst the lawyers and in court, and it's really just over the 17.8% that the Buss family controls." @ramonashelburne details what led to Jeanie Buss contesting her family's minority stake in the Lakers ✍️

The X-Men are coming to the MCU: Sadie Sink is Jean Grey Kit Connor is Cyclops Christopher Abbott is Professor Charles Xavier Samara Weaving is Emma Frost Inde Navarrette is Rogue Maya Boyd is Storm Adam Driver is Nathaniel Milbury Only in theaters May 5, 2028.

Seedance 2.5 Prompt: Create a 30-second ultra-realistic candid home-video sequence of a young Korean woman in her early 20s living an ordinary late morning in a quiet Korean residential neighborhood. SUBJECT: Young Korean woman, natural everyday appearance, realistic skin texture, minimal makeup, black wavy hair in a messy side ponytail with wispy bangs. Faded charcoal-grey sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, simple black cord necklace. Warm, relaxed personality. Keep her face, body, hairstyle, clothing, and appearance perfectly consistent throughout. SETTING: Authentic Korean residential neighborhood — narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires and mature trees. Quiet, lived-in atmosphere. No shops, advertisements, crowds, cafés, or commercial activity. VISUAL STYLE: Ultra-realistic documentary home-video footage from an early-2000s consumer DV camcorder. Imperfect handheld operation, natural camera shake, awkward framing, occasional reframing, autofocus hunting, slight lens breathing, exposure pumping between sunlight and shade, subtle motion blur, mild rolling shutter, faded colors, soft contrast, slight digital compression and sensor noise. No stabilization, no cinematic camera moves, no modern color grading. Everything must feel genuinely captured, not AI-generated. TIMELINE: 00:00–00:05 — Outside her small house, she sits on a low concrete wall adjusting her messy ponytail. Wind moves loose strands of hair. She casually smiles while the camera struggles to lock focus. 00:05–00:10 — She walks into a narrow residential alley. A stray cat approaches. She crouches naturally, pets it and gently feeds it. Autofocus shifts imperfectly between her face and the cat. 00:10–00:15 — In a small front yard, she hangs laundry on a clothesline. Fabric moves naturally in the breeze while sunlight and cloud shadows subtly change the exposure. 00:15–00:20 — She sits on a quiet terrace with a simple ceramic coffee cup, casually watching the neighborhood and brushing loose hair behind her ear. Handheld side angle with natural camera drift. 00:20–00:25 — Close side profile. Someone off-camera casually greets her. She turns, smiles warmly, raises her hand and naturally says, “Annyeong.” The camera reacts slightly late. 00:25–00:30 — She walks slowly down a tree-lined residential lane holding her coffee. She notices the camera, gives a small genuine smile, then looks away and continues walking. The recording abruptly cuts to black mid-motion like an old camcorder being switched off. AUDIO: Only authentic location sound: birds, distant motorcycles, light wind, rustling leaves, faint neighborhood chatter, cat sounds, footsteps on concrete, laundry moving on the clothesline and subtle residential ambience. Natural Korean speech only. No music, narration, cinematic sound effects, or artificial sound design. GOAL: Make it feel like a forgotten personal home video from the early 2000s — intimate, spontaneous, imperfect, warm, mundane and deeply believable. Prioritize realistic human motion, natural facial expressions, physical interaction, environmental detail and consistent identity over cinematic beauty.

这位法国 AI 选手 Jeanviet 用 Claude 完成他 80% 的 Youtube 视频制作，果然大家都在设计内容工厂 AI Agent 要不是我把 Claude Token 烧光了，高低把转录好的视频放上来，现就将就着看文字版咯 jeanviet (Romain) 的 YouTube 自动化流水线 视频 URL: 核心步骤拆解 1. 输入脚本/URL — 把视频脚本文本或 YouTube URL 粘贴进自建工具"YouTube Rod"，作为整条流水线的起点。 2. Claude 生成标题 — Claude CLI（一次生成 10 个标题候选，每个附带 CTR 评分和选择理由，挑一个最强的。 3. 关键词→参考缩略图 — 选定标题后 Claude 自动输出关键词，用这些关键词搜出大量高点击率的参考缩略图供灵感选择。 4. AI 批量生成缩略图 — 选一张参考图后，用 GPT Image 2（通过 Replicate）生成 5+1 张变体：第一张忠实还原参考，后五张做创意发散。 5. Photoshop 精修 — 把 AI 缩略图拉进 Photoshop，用生成式填充调尺寸，抠出人物加曝光/对比度/锐度让脸部更突出，最终定稿。 6. 生成描述/标签/章节 — Claude 根据脚本自动生成视频描述、合作伙伴模板、章节标记和 500 字符内的 SEO 标签，直接复制粘贴到 YouTube 后台。 7. 一键触发全平台分发 — 点击"发布 + 创建 Lead Magnet"，系统自动生成 Instagram Story、LinkedIn 帖子、Twitter 推文、Skool 社群帖，全部从一个 URL 出发。 8. Shorts 自动工厂 — 通过 Opus Clip 自动从长视频中裁出多条短视频，顶部加 hook 文字 + CTA（评论关键词即送完整视频链接）。 9. DM 自动回复 — 用户在任何平台评论关键词（如"short"），ManyChat 自动私信发送对应视频链接，跨平台打通。 10. 周报 Newsletter 自动生成 — 每周三自动生成一期 Newsletter，以最新 YouTube 视频为核心内容，推送给邮件订阅用户。 11. YouTube 选题雷达 — 每日自动爬取 241 个同赛道频道，计算每条视频的"病毒系数"（如播放量 vs 日常均值 ×25），筛出爆款供选题参考。 12. Claude CLI 批量出脚本 — 基于选题雷达的结果，Claude 直接在 CLI 中批量产出适配自己风格的脚本和 SEO 长青选题（如"什么是 vibe coding"）。

"You're fake news. Don't ever talk again." President Trump fires back at a reporter who asks whether he's reconsidering Jeanine Pirro's role following the reflecting pool case. "You're fake news. Don't ever talk again... One of the worst in the business. Fortunately, nobody watches you."