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AI video is getting better at generating impressive shots. The harder question is whether it can keep a large scene coherent when everything starts moving at once. Kling 4.0 takes that problem much further with Dynamic Motion — large-scale movement across characters, camera and environment without the scene losing...

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Tyler Wayne

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58,974 просмотров • 5 дней назад •via X (Twitter)

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AI video is getting dangerously close to feeling like actual filmmaking. 👀 Wan 3.0 on Magnific takes a simple idea and turns it into a 30-second scene with sound, consistent characters, dialogue, camera movement, and multiple shots. And some of the results are seriously impressive.
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AI video is getting dangerously close to feeling like actual filmmaking. 👀 Wan 3.0 on Magnific takes a simple idea and turns it into a 30-second scene with sound, consistent characters, dialogue, camera movement, and multiple shots. And some of the results are seriously impressive.

Md Riyazuddin

101,044 просмотров • 1 месяц назад

AI video is getting better at generating impressive clips. But I think the more interesting question is how much control you have before the first frame is generated. I’ve been testing a GPT-6 Astra + Seedance 2.5 workflow where the process starts with a 3D scene and spatial planning, rather than just a prompt. Then I manually bring the scene into CapCut PC, use Seedance 2.5 to render it, and finish the video there. Maybe AI filmmaking is moving from “generate something cool” to actually directing the shot. #CapCutPC #GPT6Astra #AIVideo #Seedance25
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AI video is getting better at generating impressive clips. But I think the more interesting question is how much control you have before the first frame is generated. I’ve been testing a GPT-6 Astra + Seedance 2.5 workflow where the process starts with a 3D scene and spatial planning, rather than just a prompt. Then I manually bring the scene into CapCut PC, use Seedance 2.5 to render it, and finish the video there. Maybe AI filmmaking is moving from “generate something cool” to actually directing the shot. #CapCutPC #GPT6Astra #AIVideo #Seedance25

Katherine

78,893 просмотров • 27 дней назад

AI video is getting very good at generating impressive clips. But the harder question is: can you actually control what happens inside the shot? That’s why I find the 3D-first approach interesting. GPT-6 Astra maps the space and helps establish camera + character movement within the Viewport before rendering. Then I manually bring the scene into CapCut PC for Seedance 2.5 rendering. And the part I didn’t expect to care about as much? The render is still not the final answer. I can keep editing and shaping it in CapCut PC. Maybe AI video is moving from “generate a clip” to “build a shot.” #CapCutPC #GPT6Astra #AIVideo #Seedance25
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AI video is getting very good at generating impressive clips. But the harder question is: can you actually control what happens inside the shot? That’s why I find the 3D-first approach interesting. GPT-6 Astra maps the space and helps establish camera + character movement within the Viewport before rendering. Then I manually bring the scene into CapCut PC for Seedance 2.5 rendering. And the part I didn’t expect to care about as much? The render is still not the final answer. I can keep editing and shaping it in CapCut PC. Maybe AI video is moving from “generate a clip” to “build a shot.” #CapCutPC #GPT6Astra #AIVideo #Seedance25

Katyayani Shukla

84,107 просмотров • 27 дней назад

This official Kling 4.0 case is what caught my attention, the shot goes from a controlled character close-up into a much more dynamic sequence without losing the visual direction of the scene. So I wanted to see what 4.0 actually changes once you start pushing it beyond a simple shot.
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This official Kling 4.0 case is what caught my attention, the shot goes from a controlled character close-up into a much more dynamic sequence without losing the visual direction of the scene. So I wanted to see what 4.0 actually changes once you start pushing it beyond a simple shot.

Deborah

75,979 просмотров • 5 дней назад

I think people are still underestimating how important the 3D layer could become in AI video. The problem with complex AI shots has never just been image quality. It’s spatial consistency, camera direction and knowing where everything is supposed to be. GPT-6 Astra can map the scene and keep camera + character paths within the Viewport, giving the shot a spatial structure before generation. I then manually move that scene into CapCut PC and use Seedance 2.5 to render it. From there, CapCut PC becomes the actual editing environment. That feels less like “AI generated a video” and more like a production pipeline worth experimenting with. #CapCutPC #GPT6Astra #AIVideo #Seedance25
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I think people are still underestimating how important the 3D layer could become in AI video. The problem with complex AI shots has never just been image quality. It’s spatial consistency, camera direction and knowing where everything is supposed to be. GPT-6 Astra can map the scene and keep camera + character paths within the Viewport, giving the shot a spatial structure before generation. I then manually move that scene into CapCut PC and use Seedance 2.5 to render it. From there, CapCut PC becomes the actual editing environment. That feels less like “AI generated a video” and more like a production pipeline worth experimenting with. #CapCutPC #GPT6Astra #AIVideo #Seedance25

Manish Kumar Shah

30,785 просмотров • 27 дней назад

AI video generation has quietly crossed a threshold. I got early access to Kling 4.0. Three things stood out: Dynamic Motions — complex camera movement and high-speed action that actually holds. No drift, no blur mess. Native 30s generation — a full 30-second clip, one shot, no stitching required. Omni Reference — up to 15 inputs at once: images, video clips, subjects, audio. Your characters and objects stay consistent across every scene. The clip below is straight out of the model. Same vehicle through every angle and speed
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AI video generation has quietly crossed a threshold. I got early access to Kling 4.0. Three things stood out: Dynamic Motions — complex camera movement and high-speed action that actually holds. No drift, no blur mess. Native 30s generation — a full 30-second clip, one shot, no stitching required. Omni Reference — up to 15 inputs at once: images, video clips, subjects, audio. Your characters and objects stay consistent across every scene. The clip below is straight out of the model. Same vehicle through every angle and speed

Iris

18,160 просмотров • 5 дней назад

Most AI video models break under rain, crowds, reflections, and motion. HappyHorse 1.0 handled all four. I pushed it with a cinematic cyberpunk scene full of: • heavy rain physics • neon reflections • crowd movement • dynamic camera motion • synchronized environmental audio The realism genuinely surprised me. This is one of the first AI video models where the atmosphere feels alive, not just generated.
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Most AI video models break under rain, crowds, reflections, and motion. HappyHorse 1.0 handled all four. I pushed it with a cinematic cyberpunk scene full of: • heavy rain physics • neon reflections • crowd movement • dynamic camera motion • synchronized environmental audio The realism genuinely surprised me. This is one of the first AI video models where the atmosphere feels alive, not just generated.

Diana Osire

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If a Cybercab can roll through Chinatown at rush hour - tight streets, sudden pedestrians, bikes cutting across, yellow cabs everywhere, and zero room to hide - then the rest of the country is going to feel almost quiet. New York doesn’t give you a clean test track. It throws everything at you at once. When a car with no steering wheel can handle that and keep moving, every other city in America starts looking like an easier problem to solve. #Cybercab
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If a Cybercab can roll through Chinatown at rush hour - tight streets, sudden pedestrians, bikes cutting across, yellow cabs everywhere, and zero room to hide - then the rest of the country is going to feel almost quiet. New York doesn’t give you a clean test track. It throws everything at you at once. When a car with no steering wheel can handle that and keep moving, every other city in America starts looking like an easier problem to solve. #Cybercab

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doodles AI beta. next week. we're building the tools for a new era of dynamic world-building. it starts with an image model that reimagines anything and everything through the doodles lens. this is the first iteration of many. as the product evolves, we'll introduce the ability to turn your generations into physical objects. video with sound and dialogue, realtime AR, and gaming are all on the roadmap. doodles AI aligns us with the speed and scale of the AI industry at large. our colourful world can now be plugged into new tech as it unfolds. create with us.
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doodles AI beta. next week. we're building the tools for a new era of dynamic world-building. it starts with an image model that reimagines anything and everything through the doodles lens. this is the first iteration of many. as the product evolves, we'll introduce the ability to turn your generations into physical objects. video with sound and dialogue, realtime AR, and gaming are all on the roadmap. doodles AI aligns us with the speed and scale of the AI industry at large. our colourful world can now be plugged into new tech as it unfolds. create with us.

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Seedance 2.5 is the Mythos moment for AI video. getting scary close to indistinguishable from a camera. - up to 30 seconds in a single shot - consistent characters across the whole scene - up to 50 inputs at once: cast, props, and style refs together - multiple audio sources in one generation Coming soon to Higgsfield.
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Seedance 2.5 is the Mythos moment for AI video. getting scary close to indistinguishable from a camera. - up to 30 seconds in a single shot - consistent characters across the whole scene - up to 50 inputs at once: cast, props, and style refs together - multiple audio sources in one generation Coming soon to Higgsfield.

shirish

108,714 просмотров • 2 месяцев назад

Not long ago, AI video was mostly five-second clips that barely held together. After testing Kling 4.0 Flash ahead of the October launch, I generated a short cinematic scene and the same character stayed consistent across every angle, no subtle drift, no "close but not quite" faces. Combined with how stable the motion stayed during faster movement, this genuinely raises the bar for what's possible in early-access AI video right now. Kling AI
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Not long ago, AI video was mostly five-second clips that barely held together. After testing Kling 4.0 Flash ahead of the October launch, I generated a short cinematic scene and the same character stayed consistent across every angle, no subtle drift, no "close but not quite" faces. Combined with how stable the motion stayed during faster movement, this genuinely raises the bar for what's possible in early-access AI video right now. Kling AI

Vini

21,877 просмотров • 5 дней назад

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AI VIDEOS ARE BECOMING SCARILY NORMAL At first, this looks like a simple clip from a sunny day on campus. A girl is sitting on the grass with a notebook, people are relaxing around her, and the whole scene feels like something someone casually filmed on their phone. Nothing about it instantly feels fake. And that’s exactly the point. AI video is no longer only about creating robots, fantasy worlds or crazy impossible scenes. It’s getting better at copying the most normal parts of real life: sunlight, background movement, random people, small gestures and natural-looking camera shots. Not long ago, AI clips were easy to expose. The face would feel off, the hands would glitch, or the motion would look weird after a few seconds. Now those signs are becoming harder to catch. The real breakthrough isn’t that AI can make something shocking. It’s that it can make an ordinary everyday moment look so real that most people would scroll past without questioning it.

Inspector

4,006,213 просмотров • 26 дней назад

AI video is becoming less about generating a clip and more about controlling the entire scene. 🎬 MiniMax H3 is now available on Magnific, with a multimodal workflow that brings text, images, video and audio together. → Up to 9 image + 3 video + 3 audio references → 2K video up to 15 seconds → Native synced voice, music & sound effects → Motion transfer → Instruction-based video editing → Camera, character and voice control The interesting part is how much you can build from references. A moodboard, product, character, environment or motion reference can all become part of the same generation. And the sound is generated alongside the video, instead of being added afterward. MiniMax H3 on Magnific makes the whole process feel much closer to directing a scene than simply prompting a video.
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AI video is becoming less about generating a clip and more about controlling the entire scene. 🎬 MiniMax H3 is now available on Magnific, with a multimodal workflow that brings text, images, video and audio together. → Up to 9 image + 3 video + 3 audio references → 2K video up to 15 seconds → Native synced voice, music & sound effects → Motion transfer → Instruction-based video editing → Camera, character and voice control The interesting part is how much you can build from references. A moodboard, product, character, environment or motion reference can all become part of the same generation. And the sound is generated alongside the video, instead of being added afterward. MiniMax H3 on Magnific makes the whole process feel much closer to directing a scene than simply prompting a video.

Mohini Shewale

63,995 просмотров • 1 месяц назад

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale
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kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

Miko

29,467 просмотров • 9 месяцев назад

🚨 AI VIDEO PROMPTING IS DEAD !! You no longer need to write a 500-word prompt just to tell AI how your video should look. 💀 I just tested Pippit’s 3D Director Studio + Seedance 2.5 And instead of explaining the entire scene with words… I literally BUILT the scene first. For my test, I created a cinematic fight scene with characters inside a 3D environment. I could control: 1️⃣ Where the characters stood 2️⃣ Which props they held 3️⃣ Where the camera was placed 4️⃣ What each character should do Then I could actually CHOREOGRAPH the action. → Run → Fight → Shoot → Fall → React → Move You can place these actions on the timeline, adjust when they happen, and even plan the camera movement and character trajectories. So instead of: PROMPT → GENERATE → PRAY 😂 It becomes: BUILD → DIRECT → GENERATE And that gives you WAY more control. Because you’re not asking AI to imagine the entire scene from a block of text. You’re literally showing it the: → Characters → Environment → Props → Positions → Actions → Camera Then Seedance 2.5 takes that 3D direction and turns it into the final video. That’s what makes this so interesting. It feels less like prompting an AI video model… And more like sitting in the DIRECTOR’S CHAIR. 🎬 Try Pippit: Pippitofficial #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner
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🚨 AI VIDEO PROMPTING IS DEAD !! You no longer need to write a 500-word prompt just to tell AI how your video should look. 💀 I just tested Pippit’s 3D Director Studio + Seedance 2.5 And instead of explaining the entire scene with words… I literally BUILT the scene first. For my test, I created a cinematic fight scene with characters inside a 3D environment. I could control: 1️⃣ Where the characters stood 2️⃣ Which props they held 3️⃣ Where the camera was placed 4️⃣ What each character should do Then I could actually CHOREOGRAPH the action. → Run → Fight → Shoot → Fall → React → Move You can place these actions on the timeline, adjust when they happen, and even plan the camera movement and character trajectories. So instead of: PROMPT → GENERATE → PRAY 😂 It becomes: BUILD → DIRECT → GENERATE And that gives you WAY more control. Because you’re not asking AI to imagine the entire scene from a block of text. You’re literally showing it the: → Characters → Environment → Props → Positions → Actions → Camera Then Seedance 2.5 takes that 3D direction and turns it into the final video. That’s what makes this so interesting. It feels less like prompting an AI video model… And more like sitting in the DIRECTOR’S CHAIR. 🎬 Try Pippit: Pippitofficial #3DDirectorStudio #PippitAI #Seedance25 #PippitPartner

SANI BULA

95,462 просмотров • 25 дней назад

Kling 2.6 Motion Control is absolutely insane 🤯 Take any reference video and transfer the exact motion onto an AI character: full-body sync, facial expressions, hand gestures, everything. All with just a few clicks. Perfect for e-comm brands and agencies creating AI video ads that don't look like AI. Here's the problem: AI-generated video ads still look robotic. The movements are stiff, the expressions are flat. Your audience clocks it as AI instantly and keeps scrolling. Kling 2.6 Motion Control fixes it: → Start with any reference clip (stock footage, existing UGC, motion reference) → Upload to Kling → Map the exact movement onto any AI character → Full-body motion, hand gestures, facial expressions—all transferred → Generate up to 30 seconds of video No stiff AI movements, no uncanny valley, no instant "skip this ad" reaction. What this unlocks: - Use one winning UGC motion → swap in different AI creators - Pull reference clips from anywhere → generate branded variations - Create dynamic AI video ads with real human movement - Test multiple "creators" without filming anyone new I recorded a quick walkthrough showing how to do this step-by-step. Want access? > Comment "KLING" > Like this post And I'll send it over (must be following so I can DM)
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Kling 2.6 Motion Control is absolutely insane 🤯 Take any reference video and transfer the exact motion onto an AI character: full-body sync, facial expressions, hand gestures, everything. All with just a few clicks. Perfect for e-comm brands and agencies creating AI video ads that don't look like AI. Here's the problem: AI-generated video ads still look robotic. The movements are stiff, the expressions are flat. Your audience clocks it as AI instantly and keeps scrolling. Kling 2.6 Motion Control fixes it: → Start with any reference clip (stock footage, existing UGC, motion reference) → Upload to Kling → Map the exact movement onto any AI character → Full-body motion, hand gestures, facial expressions—all transferred → Generate up to 30 seconds of video No stiff AI movements, no uncanny valley, no instant "skip this ad" reaction. What this unlocks: - Use one winning UGC motion → swap in different AI creators - Pull reference clips from anywhere → generate branded variations - Create dynamic AI video ads with real human movement - Test multiple "creators" without filming anyone new I recorded a quick walkthrough showing how to do this step-by-step. Want access? > Comment "KLING" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

25,247 просмотров • 8 месяцев назад

Sakura vs Jinx, created with the AI Seedance 2.0. Artificial intelligence is evolving at an impressive speed. It is already capable of generating a fight between a 2D character and a 3D character in a way that feels natural and believable. What is even more surprising is that this can be created in just a few minutes with a single prompt. Something that previously required a large team, significant resources, and a long production time can now be generated with just one well-crafted prompt.
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Sakura vs Jinx, created with the AI Seedance 2.0. Artificial intelligence is evolving at an impressive speed. It is already capable of generating a fight between a 2D character and a 3D character in a way that feels natural and believable. What is even more surprising is that this can be created in just a few minutes with a single prompt. Something that previously required a large team, significant resources, and a long production time can now be generated with just one well-crafted prompt.

nachos2d

240,509 просмотров • 6 месяцев назад

Thank you all so much for waiting so late for our beloved star. The crowd at the scene is very large right now, and airport security is using loudspeakers to maintain order. We’ve already urged fans across multiple platforms to stay calm and protect the artist—let’s all work together to ensure a safe and orderly environment! Once again, thank you for your support!🫡🥹🥹 #linglingkwong‌ #หลิงหลิงคอง #AngelGolden
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Thank you all so much for waiting so late for our beloved star. The crowd at the scene is very large right now, and airport security is using loudspeakers to maintain order. We’ve already urged fans across multiple platforms to stay calm and protect the artist—let’s all work together to ensure a safe and orderly environment! Once again, thank you for your support!🫡🥹🥹 #linglingkwong‌ #หลิงหลิงคอง #AngelGolden

linglingkwongFC_BB🐷CN🇨🇳

40,883 просмотров • 1 год назад

Kling AI 3.0 is here And it’s a serious step forward for AI video. This update isn’t about small tweaks. It’s about refinement, realism, and making AI video feel ready for real-world use. What stands out with Kling 3.0? Stronger visual quality. Movements feel smoother. Lighting looks more natural. Scenes feel intentional instead of generated. Better prompt understanding. You can describe complex scenes, moods, or camera directions, and Kling 3.0 interprets them with much more accuracy. Less trial and error. More usable results. Improved motion and consistency. Characters stay consistent. Objects behave logically. Shots flow more naturally from start to finish. Greater creative control. From product-style visuals to cinematic storytelling, Kling 3.0 gives creators the flexibility to move beyond simple clips and into structured, high-quality sequences. The difference is subtle until you see it, and then it’s obvious. AI video is evolving quickly, and Kling AI 3.0 shows how far the technology has come. It’s not just about generating video anymore. It’s about generating video that’s usable, polished, and ready for campaigns, storytelling, and branded content. If you’re building with AI, this is one of the tools worth paying attention to, best AI video model for pro & commercial production
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Kling AI 3.0 is here And it’s a serious step forward for AI video. This update isn’t about small tweaks. It’s about refinement, realism, and making AI video feel ready for real-world use. What stands out with Kling 3.0? Stronger visual quality. Movements feel smoother. Lighting looks more natural. Scenes feel intentional instead of generated. Better prompt understanding. You can describe complex scenes, moods, or camera directions, and Kling 3.0 interprets them with much more accuracy. Less trial and error. More usable results. Improved motion and consistency. Characters stay consistent. Objects behave logically. Shots flow more naturally from start to finish. Greater creative control. From product-style visuals to cinematic storytelling, Kling 3.0 gives creators the flexibility to move beyond simple clips and into structured, high-quality sequences. The difference is subtle until you see it, and then it’s obvious. AI video is evolving quickly, and Kling AI 3.0 shows how far the technology has come. It’s not just about generating video anymore. It’s about generating video that’s usable, polished, and ready for campaigns, storytelling, and branded content. If you’re building with AI, this is one of the tools worth paying attention to, best AI video model for pro & commercial production

Future Stacked

183,095 просмотров • 7 месяцев назад

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it
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TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it

iamigorekk

22,205 просмотров • 1 месяц назад