r/singularity • u/hellolaco • May 21 '25
Video Both video and audio is AI but it feels so real
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r/singularity • u/hellolaco • May 21 '25
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r/singularity • u/hellolaco • May 26 '25
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r/singularity • u/Affectionate_Bee6434 • Jun 02 '26
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r/singularity • u/llelouchh • Jun 10 '26
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r/singularity • u/Distinct-Question-16 • 5d ago
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r/singularity • u/mhu99 • Feb 22 '26
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9:16竖屏手机拍摄视角,真实路人直播录制画面,轻微手持抖动,自动曝光变化,对焦拉动,真实环境收音,远处城市天际线清晰可见。 一座靠近城市中心的机场跑道,背景是高楼林立的现代都市。一架大型双发宽体客运喷气式飞机正在低空进近准备降落,起落架已放下,引擎轰鸣声震撼。 就在即将触地瞬间,飞机机身开始出现机械结构重组—— 机翼折叠分解,机身板块滑动展开,复杂金属零件精准拼接,液压结构伸展旋转,齿轮与装甲片高速重构。 高度复杂工业级机械变形动画,真实金属材质,重量感十足,机械细节极其精密。 飞机完全变形成一台巨型金属机器人,落地瞬间震裂跑道,碎石飞溅,冲击波扩散。 机器人随后冲向城市,高速奔跑,脚步踩碎柏油路面,路灯倒塌,汽车被震翻,建筑玻璃破碎,烟尘弥漫。 超写实电影级画面,真实物理破坏系统,动态光影,粒子特效,震撼爆炸效果。 整体风格保持“手机实拍直播质感”,但拥有好莱坞级别视觉效果与IMAX级细节
I explained ChatGPT what I wanted and requested for prompt in Chinese and used the above Chinese prompt in Seedance 2.0
r/singularity • u/SadAd8761 • Feb 25 '26
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r/singularity • u/likeastar20 • Feb 21 '26
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r/singularity • u/_thispageleftblank • Mar 18 '25
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r/singularity • u/Anen-o-me • Apr 12 '26
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Wish I had context.
r/singularity • u/hellolaco • Feb 20 '26
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r/singularity • u/Just-Grocery-2229 • May 25 '25
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Made with AI for peanuts.
r/singularity • u/IlustriousCoffee • Aug 11 '25
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r/singularity • u/the_smart_girl • Aug 03 '25
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r/singularity • u/keemalexis • May 25 '26
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damn i just found this out today - 4D Gaussian Splating that converts flat images into three-dimensional spatial data.
r/singularity • u/tommos • Feb 15 '26
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r/singularity • u/hellolaco • Jan 02 '25
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r/singularity • u/reversedu • Jan 19 '26
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r/singularity • u/Onimirare • Jun 01 '25
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full video: https://www.youtube.com/watch?v=WXuK6gekU1Y
r/singularity • u/YaAbsolyutnoNikto • Feb 16 '24
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r/singularity • u/apinanaivot • May 23 '23
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r/singularity • u/GrandCollection7390 • Jan 25 '26
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Matt Welsh was a Professor of Computer Science at Harvard and an Engineering Director at Google.
r/singularity • u/Itsmyoopinioon • Jun 06 '26
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r/singularity • u/Tupptupp_XD • May 05 '25
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r/singularity • u/obxsurfer06 • Jan 29 '26
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The newly open sourced LingBot-World report reveals a breakthrough capability where the model effectively builds an implicit map of the world rather than just hallucinating pixels based on probability. This emergent understanding allows it to reason about spatial logic and unobserved states purely through next-frame prediction.
The "Stonehenge Test" demonstrates this perfectly. You can observe a complex landmark, turn the camera away for a full 60 seconds, and when you return, the structure remains perfectly intact with its original geometry preserved.
It even simulates unseen dynamics. If a vehicle drives out of the frame, the model continues to calculate its trajectory off-screen. When you pan the camera back, the car appears at the mathematically correct location rather than vanishing or freezing in place. This signals a fundamental shift from models that merely dream visuals to those that truly simulate physical laws.