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SEEDANCE prompt: 以未经处理的iPhone手持拍摄的真实视频素材风格呈现,所有相机设置均为自动,无任何后期调色或特效。画面带有真实的手持轻微抖动和操作者呼吸感,自动对焦偶尔出现搜索、延迟和短暂失焦,自动白平衡随教室窗户自然光与日光灯混合而在冷暖色调间自然切换。图像整体平坦,保留真实的边缘色差(紫绿 fringes)、轻微过曝或欠曝、运动模糊等光学瑕疵。仅使用画内自然环境音效,无背景音乐,麦克风在强声时可能出现轻微失真。采用学生坐在前排课桌后偷偷第一人称POV中近景仰拍视角,镜头运动为自然反应式而非专业平滑运镜,偶尔因紧张而出现明显抖动和快速调整。中近景构图,女教师上半身在画面中占比极大,胸部以上占据画面大部分空间,脸部和手势细节清晰可见。 接 延长15秒,一位女教师 穿着 hf_20260512_140658_485f11b2-38b1-4076-a9a3-9d38e71616ad 站在讲台上讲心理学课程。她身材丰满,胸部较为丰满突出,气质温和专业,按照用户提供的参考图的发型和服装,无眼镜。表情专注而温和,偶尔微笑,手势自然。她身后是白板和投影屏幕,屏幕上显示着“心理学导论 - 认知偏差”相关内容。教室为普通大学阶梯教室,前排座位上坐着2-3位同学(一位女生低头认真记笔记,一位男生偶尔抬头看老师),他们的头顶和肩膀仅在画面最下方边缘微微可见,形成自然的前景层次。 0秒时,镜头已从中近景位置抬起,女教师胸部以上清晰占据画面大部分空间,按照参考图的发型和服装线条明显,自动对焦稳定在她脸上但仍有轻微手持呼吸抖动,前排同学的头顶仅在画面最下方边缘可见。1秒时,女教师开始讲解,声音清晰富有节奏,镜头因学生轻微调整姿势而出现小幅度晃动,自动对焦在她脸部和手势之间自然切换。2秒时,女教师用手势比划“confirmation bias”,中近景构图让她按照参考图的胸部线条和手部动作都非常清晰,镜头跟随手势轻微上移,带有自然呼吸感。3秒时,女教师转身走向白板写关键词,行走时胸部随着步伐有明显而持续的弹跳,按照参考图的发型和服装在转身后依然自然,镜头反应略慢。4秒时,女教师转回面向学生继续讲解,按照参考图的服装线条在转身后依然明显,镜头保持中近景稳定构图但仍有轻微抖动。5秒时,女教师笑着举例说明,镜头中她的笑容、眼神和按照参考图的丰满胸部线条都非常清晰,自动对焦偶尔因旁边同学轻微移动而短暂失焦又快速恢复。6秒时,女教师的目光突然扫到第一人称的手机镜头,表情从温和转为惊讶,随即浮现出玩味的微笑,镜头因学生紧张而出现明显抖动和快速下沉。7秒时,女教师停止讲解,眼神锁定镜头,带着一丝笑意慢慢走向第一人称,行走时胸部弹跳明显且持续,路过前排同学时,她用眼神淡淡扫过他们,前排同学立刻僵住身体、迅速低下头不敢看她,一位同学手中的笔轻轻掉落,镜头随着她靠近而逐渐拉近,学生紧张的呼吸声明显传入麦克风。8秒时,女教师已经走到第一人称面前,身体微微前倾,近景构图下她的脸和丰满胸部线条清晰可见,她低头用低沉的声音对着镜头说道:“你在拍我?小帅哥,课后到我办公室来一下。”镜头因学生紧张而出现明显抖动,自动对焦短暂失焦后重新拉回。9秒时,女教师保持眼神看着第一人称镜头,嘴角带着一丝玩味的微笑,学生紧张的呼吸声清晰可闻,镜头出现轻微晃动。10秒时,女教师直起身子,嘴角带着一丝笑意看着镜头,镜头仍保持近景。11秒时,女教师转过身慢慢走回讲台,路过前排同学时,他们全部低着头不敢抬头,行走时胸部弹跳依然明显,镜头随着她离开而略微后移,自动对焦跟随她的背影。12秒时,女教师回到讲台继续之前的讲解,表情恢复温和,但嘴角仍带着一丝不易察觉的笑意,镜头保持中近景,学生紧张的呼吸声逐渐平复,自动对焦稳定在她身上。 画面呈现出真实的未经处理手持视频质感,纪录片级别的自然不完美感,无任何后期调色或特效。所有相机行为均符合iPhone自动拍摄的物理特性,带有偷偷拍摄被发现后的紧张感和中近景逐渐拉近的真实比例。
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【First Raw Couple Swap】Episode 1 From Shy to Completely Unleashed 🔥 (27:41 minutes) I really didn’t expect… we’re finally going to do a real swap tonight 😳 We had tried same-room play twice before, but we could never actually exchange partners. It always felt like something was missing. This time, Roy and Rain reached out to us because they believed we could help make their dream come true. Rain is so sweet and beautiful 💕, and Roy is really handsome too. We started with tea and casual chatting. Everyone got along so well, so we booked a room, continued drinking, and played our favorite King Game 👑 At the beginning, Rain was super shy. She kept her head down, her face flushed red, not daring to look at us 😊 Until Sam drew the punishment to kiss her — she froze at first, her lips barely touched his and she wanted to pull away… but as they kept kissing, her breathing suddenly became heavy, and her passion just exploded. She started kissing him back actively 🔥 On the other hand, when it was Roy and Sam’s turn to tease me, Roy was extremely shy 😣 He didn’t dare move his hands and kept secretly glancing at Rain’s reaction. I had to gently take his hand and press it onto my breast before he started touching me… his movements were so cautious and awkward 🙈 But Rain became more and more open! She seemed to really like Sam, calling him in such a sweet voice. When she was pleasuring Sam, her eyes were sparkling 😍, and her body pressed tightly against him — nothing like how shy she was at the start. Later, when both men were serving Rain on the bed, she lay in the middle while Sam and Roy touched and kissed her at the same time… she couldn’t hold back her moans anymore, her body twisting gently. It was clear she was fully enjoying it 🥵 Watching Rain go from so shy to completely immersed, I felt both nervous and excited 😳💕 ———————————— 【第一次无套夫妻交换】第一集 从害羞到完全放开 🔥 (27:41分钟) 我真的没想到……这次我们终于要真正交换了 😳 我们之前自己尝试过两次同房,但都没能真正交换成功,总是感觉差一点。这次我们找了Roy和Rain这对。Rain长得特别甜美 💕,Roy也很帅。我们先一起喝茶聊天,大家聊得特别开心,感觉很合得来,就订了房间继续喝酒,玩我们最拿手的国王游戏 👑 一开始Rain还是很害羞,一直低着头,脸红红的,不敢直视我们 😊 直到Sam抽到惩罚要和她接吻的那一刻,她整个人先是僵住,嘴唇轻轻碰了一下就想躲……但吻着吻着,她的呼吸突然乱了,激情一下子就涌现出来,反而开始主动亲回去 🔥 反而轮到Roy和Sam一起挑逗我的时候,Roy超级害羞 😣 他手都不敢放下来,一直偷偷看Rain的反应。我只好轻轻捉住他的手,按到我的乳房上,他才开始小心翼翼地摸……动作好生涩 🙈 可是Rain却越来越放得开!她好像特别喜欢Sam,用甜甜的声音叫他,服务Sam的时候眼睛都亮亮的,身体也贴得好紧,完全不像刚开始那么害羞了 😍 后来两个男人一起在床上服务Rain的时候,她躺在中间,Sam和Roy同时摸她、亲她……她开始忍不住发出声音,身体轻轻扭动,明显已经完全享受进去了 🥵 看到Rain从那么害羞一下子变得这么投入,我自己也又紧张又兴奋 😳💕
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Jackson hole会议有关ai的摘录 1,AI的发展速度与经济增长潜力 Capital and labor have combined to create the large language models at the heart of AI. Users buy tokens to gain access to the models. Reports put annualized token sales for the two leading labs alone at more than $100 billion—an increase of 500-plus percent from a year ago. 资本和劳动力共同创造了处于AI核心地位的大语言模型。用户通过购买Token来使用这些模型。据报道,仅两家领先实验室的Token年化销售额就已超过1,000亿美元,同比增长逾500%。 2. AI可能成为新的生产要素 The Fed watches all of this attentively. We recognize that AI is a new variable—potentially a new factor of production—that will have consequences for both the economy and the conduct of monetary policy. It opens some major lines of inquiry:美联储正在密切关注这一切。我们认识到,AI是一个新的变量——甚至可能成为一种新的生产要素——它将同时影响经济运行和货币政策的实施。这带来了一些重要的研究问题: Will the application of AI cause a significant, sustained rise in productivity across the economy? And if so, when?AI的应用是否会推动整个经济体的生产率显著且持续提高?如果会,这种变化将在何时出现? Will token usage be complementary or competitive to labor? Will the next generation of AI models demand even greater capital intensity, or will the models themselves help devise a capital-light solution? Token的使用与劳动力之间究竟是互补关系,还是竞争关系?下一代AI模型是否需要投入更多资本,抑或这些模型本身能够帮助开发出资本需求较低的解决方案? 3. AI产业的收益将由谁获得 Among the other yet unknowns is the resulting market structure. It's not obvious where the returns on capital will land or on what timescale. Early on, how much of the surplus goes to owners of scarce assets—AI labs, chipmakers, energy producers, and cloud providers? Over time, how much of that value accrues to businesses and consumers? What are the broad implications for workers and for the employment side of the Fed's mandate?另一个尚未确定的问题,是AI最终会形成怎样的市场结构。资本收益最终将流向哪里、又将在多长时间内实现,目前并不明确。在发展初期,经济剩余中有多少会流向稀缺资产的所有者——包括AI实验室、芯片制造商、能源生产商和云服务提供商?随着时间推移,又有多少价值会由一般企业和消费者获得?AI将对劳动者以及美联储就业使命产生哪些广泛影响? 4. Token价格与模型分层 Likewise, we don't yet know the equilibrium price of the tokens. Might there be a heterogeneity of tokens, such that growing sums will be paid for access to the best models at the frontier? Will token prices for older models fall to the level of their marginal cost?同样,我们尚不知道Token的均衡价格。未来是否会出现明显的Token分层,使用户愿意支付越来越高的费用来使用最先进的前沿模型?较旧模型的Token价格是否会下降至其边际成本水平? 5 美联储将成立专项工作组 We will be thinking through these matters with the help of a task force on productivity and jobs. My early check-ins with the leaders of that task force, and the four others, have been encouraging.我们将借助一个专门研究生产率与就业问题的工作组,深入分析这些事项。我与该工作组以及另外四个工作组负责人的初步交流令人鼓舞。To be clear, though, their recommendations will come later and have no bearing on decisions we make in the current policy conjuncture. But I believe that for future policy challenges, this intellectual investment today will leave us far better prepared.不过需要明确的是,这些工作组的建议将在以后提出,不会影响我们在当前政策环境下所作的决定。但我相信,今天投入的这些研究工作,将使我们在应对未来政策挑战时准备得更加充分。 6. AI已经成为资本开支增长的重要动力 Business capital expenditures—the seed corn of future economic growth—are rising rapidly. The four-quarter change in investment in equipment and intangibles has been around 9 percent, its highest growth rate since 2021. More than half of the cap-ex growth this year can likely be ascribed to the buildout related to Expectations for growth in both cap-ex and corporate earnings are running quite high. I will continue to watch the change in their growth rates, the second derivative. The follow-on effects on asset prices, business confidence, consumer income, and spending are equally important to gauge.市场对资本支出和企业盈利增长的预期都相当高。我将继续观察其增长速度的变化,也就是所谓的“二阶导数”。AI投资对资产价格、企业信心、消费者收入和消费支出所产生的后续影响,同样值得密切评估。 我的看法:Warsh这篇演讲把AI视为一种可能出现的新生产要素,这是一个偏积极的看法。美联储最关心的并非单纯的技术进步,而是AI对生产率、就业、产业收益分配、Token定价以及货币政策的长期影响。Kevin同时认为,AI投资已经对现实经济产生显著作用——今年美国资本支出增长的一半以上可能来自AI建设。
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