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"Blending 2D hand-drawn madness with 3D real-time rendering like it's nothing Spider-Verse motion smears meet LoL cinematic polish in this Unreal Engine 5 masterpiece by Redhill Games & Pedro Borges. Mind = blown. #Stylized #UnrealEngine5

VFX Therapy

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75,896 次观看 • 4 个月前 •via X (Twitter)

艺术科学技术 #Stylized #UnrealEngine5

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The Redhill Games team has blended 2D-like hand-drawn effects with 3D rendering into one Unreal Engine-made animation. Final animation and shader breakdown: #unrealengine #unrealengine5 #ue5 #3danimation #animation #blender3d #b3d #blender #handdrawn

The Redhill Games team has blended 2D-like hand-drawn effects with 3D rendering into one Unreal Engine-made animation. Final animation and shader breakdown: #unrealengine #unrealengine5 #ue5 #3danimation #animation #blender3d #b3d #blender #handdrawn

80 LEVEL

17,572 次观看 • 1 年前

Meet Mechanic Joe, a creation of 3D Character & Creature Artist Roman Chystakhovskyi. Inspired by a pigeon with mullet-like plumage that Roman observed on a trip to the zoo, Joe is the picture of a classic old school mechanic from a dusty roadside garage. Mechanic Joe is a full, game-ready character rendered in real-time in Unreal Engine 5. "My biggest technical learning on 'Mechanic Joe' was fully embracing Sequencer and Sublevels in UE5. A tip for other artists: being able to separate a complex scene into manageable parts and bind them to different camera cuts is a game-changer. It's a non-destructive workflow that dramatically speeds up iteration and gives you incredible flexibility for managing and rendering final cinematic shots." - Roman Chystakhovskyi

Meet Mechanic Joe, a creation of 3D Character & Creature Artist Roman Chystakhovskyi. Inspired by a pigeon with mullet-like plumage that Roman observed on a trip to the zoo, Joe is the picture of a classic old school mechanic from a dusty roadside garage. Mechanic Joe is a full, game-ready character rendered in real-time in Unreal Engine 5. "My biggest technical learning on 'Mechanic Joe' was fully embracing Sequencer and Sublevels in UE5. A tip for other artists: being able to separate a complex scene into manageable parts and bind them to different camera cuts is a game-changer. It's a non-destructive workflow that dramatically speeds up iteration and gives you incredible flexibility for managing and rendering final cinematic shots." - Roman Chystakhovskyi

Unreal Engine

10,327 次观看 • 8 个月前

🔥 Unreal Engine 5 is wild. Such a powerful tool for cinematic storytelling! 😻 📺 Made this short video entirely entirely in-engine with marketplace 3D assets, and a sprinkle of GPT for scripting assistance. Hope you enjoyed my voice acting too 😂 🤯 Doing this the “good old fashioned” way — hopping between 3D tools like Maya, then compositing tools like After Effects, then editorial tools like Premiere would have taken *so* much longer. Amazing to be able do it all in one real-time playground! ⚙️ Next, I want to utilize synthetic AI voices, and take on a more ambitious narrative 🎥 Drop me your ideas on what you’d like to see!

🔥 Unreal Engine 5 is wild. Such a powerful tool for cinematic storytelling! 😻 📺 Made this short video entirely entirely in-engine with marketplace 3D assets, and a sprinkle of GPT for scripting assistance. Hope you enjoyed my voice acting too 😂 🤯 Doing this the “good old fashioned” way — hopping between 3D tools like Maya, then compositing tools like After Effects, then editorial tools like Premiere would have taken so much longer. Amazing to be able do it all in one real-time playground! ⚙️ Next, I want to utilize synthetic AI voices, and take on a more ambitious narrative 🎥 Drop me your ideas on what you’d like to see!

Bilawal Sidhu

713,915 次观看 • 3 年前

Made with Seedance 2.0 Prompt: PART 1 (0:00–0:15) GLOBAL STYLE: Stylized 3D animation, cel shaded graphics, comic book rendering, Spider Verse inspired visual style, vibrant high contrast color palette, fluid dynamic motion, Unreal Engine 5 aesthetic, cinematic lighting, 4K quality. CHARACTER CONTINUITY: Stylized young male driver with wavy blonde hair, thick black glasses, short goatee, intricate black tattoo sleeves on both arms, black shirt, dark pants, brown loafers. VEHICLE CONTINUITY: Modified white 1990s Honda Integra, black brush stroke "46" side decal, glowing red underglow, deep dish rims, lowered stance, clean body kit. Keep the same car throughout. No logos or text changes. ENVIRONMENT: Neon lit New York inspired streets beneath elevated subway tracks at dusk, wet reflective asphalt, glowing storefronts, cinematic atmosphere. SEQUENCE: 0:00–0:05 Low angle tracking shot follows the driver walking confidently toward the parked white Honda Integra. The glowing red underglow reflects across the wet pavement. Close up of the tattooed hand pulling the door handle, entering the car, then turning the ignition key. Smooth cinematic transitions. 0:05–0:08 Macro shot of the exhaust pipe blasting thick stylized gray smoke. Quick cut to tattooed hands gripping the steering wheel tightly. Dashboard lights illuminate the driver's focused face. 0:08–0:11 Dashcam POV as the Integra rapidly accelerates beneath elevated train tracks. Neon storefronts streak past with heavy motion blur. Camera shakes naturally with speed. 0:11–0:15 Extreme close up of the driver's determined eyes reflected in the rearview mirror. Hard cut to an aggressive drift around a city corner. Thick tire smoke, glowing orange sparks from the wheels, vivid red underglow reflecting on the wet road. End with a cinematic action shot.

Made with Seedance 2.0 Prompt: PART 1 (0:00–0:15) GLOBAL STYLE: Stylized 3D animation, cel shaded graphics, comic book rendering, Spider Verse inspired visual style, vibrant high contrast color palette, fluid dynamic motion, Unreal Engine 5 aesthetic, cinematic lighting, 4K quality. CHARACTER CONTINUITY: Stylized young male driver with wavy blonde hair, thick black glasses, short goatee, intricate black tattoo sleeves on both arms, black shirt, dark pants, brown loafers. VEHICLE CONTINUITY: Modified white 1990s Honda Integra, black brush stroke "46" side decal, glowing red underglow, deep dish rims, lowered stance, clean body kit. Keep the same car throughout. No logos or text changes. ENVIRONMENT: Neon lit New York inspired streets beneath elevated subway tracks at dusk, wet reflective asphalt, glowing storefronts, cinematic atmosphere. SEQUENCE: 0:00–0:05 Low angle tracking shot follows the driver walking confidently toward the parked white Honda Integra. The glowing red underglow reflects across the wet pavement. Close up of the tattooed hand pulling the door handle, entering the car, then turning the ignition key. Smooth cinematic transitions. 0:05–0:08 Macro shot of the exhaust pipe blasting thick stylized gray smoke. Quick cut to tattooed hands gripping the steering wheel tightly. Dashboard lights illuminate the driver's focused face. 0:08–0:11 Dashcam POV as the Integra rapidly accelerates beneath elevated train tracks. Neon storefronts streak past with heavy motion blur. Camera shakes naturally with speed. 0:11–0:15 Extreme close up of the driver's determined eyes reflected in the rearview mirror. Hard cut to an aggressive drift around a city corner. Thick tire smoke, glowing orange sparks from the wheels, vivid red underglow reflecting on the wet road. End with a cinematic action shot.

Shore Lyn

33,733 次观看 • 1 个月前

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu

Bilawal Sidhu

337,090 次观看 • 2 年前

Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.

Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.

Bezi

15,295 次观看 • 1 年前

Unreal Engine 5 Beginner Course is up 🔥 3 Months ago we decided to make a Bad Decision and create the MOST COMPLETE "Unreal Engine 5 Tutorial Beginner Series" and make it available to the world for FREE! We wanted to give every artist a chance to learn the 3D software of the future and be able to make a living through it. Well it's with immense pleasure that we'd like to say that the first 3 chapters of the Tutorial Series has officially been uploaded on our channel. Starting today we are going to upload a series of 20 episodes that will teach you all the basics you need to master Unreal Engine 5. It Doesn’t matter if you want to use unreal to make films, games, visuals for events, or even motion graphics and product shoots. By the end of this tutorial you will have everything you need to take whichever path you desire. We are putting this online for FREE and the only way to support us is to share this with friends, family, colleagues and etc. If you do please tag us on socials so that we can share it too 📷 Good luck and Enjoy the course 📷

Unreal Engine 5 Beginner Course is up 🔥 3 Months ago we decided to make a Bad Decision and create the MOST COMPLETE "Unreal Engine 5 Tutorial Beginner Series" and make it available to the world for FREE! We wanted to give every artist a chance to learn the 3D software of the future and be able to make a living through it. Well it's with immense pleasure that we'd like to say that the first 3 chapters of the Tutorial Series has officially been uploaded on our channel. Starting today we are going to upload a series of 20 episodes that will teach you all the basics you need to master Unreal Engine 5. It Doesn’t matter if you want to use unreal to make films, games, visuals for events, or even motion graphics and product shoots. By the end of this tutorial you will have everything you need to take whichever path you desire. We are putting this online for FREE and the only way to support us is to share this with friends, family, colleagues and etc. If you do please tag us on socials so that we can share it too 📷 Good luck and Enjoy the course 📷

Bad Decisions Studio

160,865 次观看 • 2 年前

Meet AI Q: The Emotional Humanoid Robot with a Soul 🤖🎭 Say hello to AI Q by EIR Robotics, a "cyber-companion" that actually has a soul. This isn’t your typical poker-faced droid; it’s a lizard-inspired humanoid designed to read your vibes and react in real-time. With 59 facial degrees of freedom and 3D projection, AI Q nails micro-expressions like winking and laughing with over 85% accuracy. Its ELA (Emotion-Language-Action) model ensures it understands your feelings instead of just giving scripted replies. Even in a rowdy crowd, AI Q stays locked in. Powered by Tencent Cloud’s acoustics, it filters noise and recognizes your specific voiceprint from up to 5 meters away, blending street style with high-tech empathy. Source: EIR Robotics #HumanoidRobot #EmbodiedAI #Tech #EIRRobotics

Meet AI Q: The Emotional Humanoid Robot with a Soul 🤖🎭 Say hello to AI Q by EIR Robotics, a "cyber-companion" that actually has a soul. This isn’t your typical poker-faced droid; it’s a lizard-inspired humanoid designed to read your vibes and react in real-time. With 59 facial degrees of freedom and 3D projection, AI Q nails micro-expressions like winking and laughing with over 85% accuracy. Its ELA (Emotion-Language-Action) model ensures it understands your feelings instead of just giving scripted replies. Even in a rowdy crowd, AI Q stays locked in. Powered by Tencent Cloud’s acoustics, it filters noise and recognizes your specific voiceprint from up to 5 meters away, blending street style with high-tech empathy. Source: EIR Robotics #HumanoidRobot #EmbodiedAI #Tech #EIRRobotics

RoboHub🤖

11,172 次观看 • 6 个月前

It's not often that you see a game crossing over from one genre into another. Ultima went from classic turn-based RPG to real-time first-person 3D view action/adventure RPG. And it worked! Ultima Underworld II: Labyrinth of Worlds was developed by Looking Glass Technologies and published by Origin Systems in 1993. Gameplay is non-linear, letting you roam freely through huge, multi-level environments, solve puzzles, fight in real time, and interact with NPCs. For its time, it was highly innovative. It featured a fully explorable 3D world (no grid-snapping like older dungeon crawlers). The physics and object interactions were next level: you could pick up, drop, throw, stack, or combine almost anything. Want to build a staircase out of crates? Go for it. Pile junk to reach a high ledge? Sure thing. Knock over a table during a fight? It all worked. This level of interactivity was unheard of in 1993 - at least nothing close comes to mind. As an old-time Ultima fan, I was skeptical when I heard about an action RPG spin-off that diverged so much from the original concept. But boy, was I wrong; it was a blast!

It's not often that you see a game crossing over from one genre into another. Ultima went from classic turn-based RPG to real-time first-person 3D view action/adventure RPG. And it worked! Ultima Underworld II: Labyrinth of Worlds was developed by Looking Glass Technologies and published by Origin Systems in 1993. Gameplay is non-linear, letting you roam freely through huge, multi-level environments, solve puzzles, fight in real time, and interact with NPCs. For its time, it was highly innovative. It featured a fully explorable 3D world (no grid-snapping like older dungeon crawlers). The physics and object interactions were next level: you could pick up, drop, throw, stack, or combine almost anything. Want to build a staircase out of crates? Go for it. Pile junk to reach a high ledge? Sure thing. Knock over a table during a fight? It all worked. This level of interactivity was unheard of in 1993 - at least nothing close comes to mind. As an old-time Ultima fan, I was skeptical when I heard about an action RPG spin-off that diverged so much from the original concept. But boy, was I wrong; it was a blast!

exQUIZitely 🕹️

17,270 次观看 • 3 个月前

THE WAY YOU LOOK AT AI GAME DEVELOPMENT WILL CHANGE AFTER YOU WATCH THIS VIDEO "The AI Slop is Coming for Games." That's right. Introducing... Slopet League Everything you see here was built by Opus 5 and GPT 5.6 Sol in _____🤫. This is not an html page, it is a functional game with a fair bit of polish working inside a real game engine. This has to be some kind of trick. NO. It downloaded a map. NO. Imported assets. Only the Octane meshes, I have other cars that were generated that look just as good. The balls, the map, the effects, the physics, animations, etc were all generated from scratch by Opus 5. GPT 5.6 Sol handled the car meshes. This is only the beginning. I made this in about a day and a half, and most of that time I was waiting on Opus to finish generation. Maybe 25 prompts. I will share my process, and many photos, proofs, evidence of this as we go. This is just a taste, I'm extremely busy this week and working on real life stuff so I'm not going to put any more time into this until next week, but believe me I'm gonna polish this into something beautiful. If you're interested, please share, bookmark, follow, and comment below. I want the world to see just how powerful the language models are TODAY. It's only going to get better from here. Buckle up folks. Oh, and What a save!

THE WAY YOU LOOK AT AI GAME DEVELOPMENT WILL CHANGE AFTER YOU WATCH THIS VIDEO "The AI Slop is Coming for Games." That's right. Introducing... Slopet League Everything you see here was built by Opus 5 and GPT 5.6 Sol in _____🤫. This is not an html page, it is a functional game with a fair bit of polish working inside a real game engine. This has to be some kind of trick. NO. It downloaded a map. NO. Imported assets. Only the Octane meshes, I have other cars that were generated that look just as good. The balls, the map, the effects, the physics, animations, etc were all generated from scratch by Opus 5. GPT 5.6 Sol handled the car meshes. This is only the beginning. I made this in about a day and a half, and most of that time I was waiting on Opus to finish generation. Maybe 25 prompts. I will share my process, and many photos, proofs, evidence of this as we go. This is just a taste, I'm extremely busy this week and working on real life stuff so I'm not going to put any more time into this until next week, but believe me I'm gonna polish this into something beautiful. If you're interested, please share, bookmark, follow, and comment below. I want the world to see just how powerful the language models are TODAY. It's only going to get better from here. Buckle up folks. Oh, and What a save!

am.will

130,380 次观看 • 9 天前

GM! Thanks for sticking with me through these long posts as we dive into the complexities of Kaidro. Today, let's talk about the development of our animation series. We haven't discussed this much because it's quite detailed. Where are we with the animation series development? It's a complex answer because our IP spans multiple mediums. Here's a simplified breakdown: - Learning from Anime: Like popular series such as "Fullmetal Alchemist," "Naruto," and "One Piece," where manga serves as the storyboard for anime, we've taken a similar approach but with a twist. - Starting with the end in mind: We began by creating 3-D assets in Unreal Engine 5 for our Webtoons and print manga. This choice allows us to use the same high-quality assets for cinematic TV, movies, and games, reducing costs and enhancing consistency. - Asset Reuse: By developing assets once for high-quality output, we can use them across comics, games, and animations. This method, similar to what was done in "Arcane," involves hand-painting over 3-D models for a unique look. - Cost and Efficiency: This approach isn't common due to its difficulty and the need for story consistency. However, it allows for smarter production, echoing the methods of visionaries like Disney and Hanna-Barbera, ensuring we can sustain and grow our IP like Pokémon. Current Status: - Pre-production: We're well into preproduction, with story development, storyboards, color scripts, and asset creation nearly complete. This groundwork usually takes years but we're ahead. This is because what I listed above are the mangas. Each manga counts as two episodes. And because each of those are fully developed, we have all the information we need to develop an episode. - Production Timeline: We're set to move into full production in 2025. Post our animation lock-up system with the community we am to go into full production after that in January. - Quality and Speed: An example of our efficiency is the cinematic for December 18th, where we reused game assets for backgrounds, finishing 43 scenes in just a month, which is exceptionally fast. Why This Matters: - For Investors and Community: This strategy not only reduces costs but also extends the life and reach of Kaidro, ensuring long-term success. We're significantly further in our animation development than most Web3 projects, maintaining high quality while pushing boundaries. Our hyper focus is on the production pipeline to allow for the anime to come to life. LFG $KDR

GM! Thanks for sticking with me through these long posts as we dive into the complexities of Kaidro. Today, let's talk about the development of our animation series. We haven't discussed this much because it's quite detailed. Where are we with the animation series development? It's a complex answer because our IP spans multiple mediums. Here's a simplified breakdown: - Learning from Anime: Like popular series such as "Fullmetal Alchemist," "Naruto," and "One Piece," where manga serves as the storyboard for anime, we've taken a similar approach but with a twist. - Starting with the end in mind: We began by creating 3-D assets in Unreal Engine 5 for our Webtoons and print manga. This choice allows us to use the same high-quality assets for cinematic TV, movies, and games, reducing costs and enhancing consistency. - Asset Reuse: By developing assets once for high-quality output, we can use them across comics, games, and animations. This method, similar to what was done in "Arcane," involves hand-painting over 3-D models for a unique look. - Cost and Efficiency: This approach isn't common due to its difficulty and the need for story consistency. However, it allows for smarter production, echoing the methods of visionaries like Disney and Hanna-Barbera, ensuring we can sustain and grow our IP like Pokémon. Current Status: - Pre-production: We're well into preproduction, with story development, storyboards, color scripts, and asset creation nearly complete. This groundwork usually takes years but we're ahead. This is because what I listed above are the mangas. Each manga counts as two episodes. And because each of those are fully developed, we have all the information we need to develop an episode. - Production Timeline: We're set to move into full production in 2025. Post our animation lock-up system with the community we am to go into full production after that in January. - Quality and Speed: An example of our efficiency is the cinematic for December 18th, where we reused game assets for backgrounds, finishing 43 scenes in just a month, which is exceptionally fast. Why This Matters: - For Investors and Community: This strategy not only reduces costs but also extends the life and reach of Kaidro, ensuring long-term success. We're significantly further in our animation development than most Web3 projects, maintaining high quality while pushing boundaries. Our hyper focus is on the production pipeline to allow for the anime to come to life. LFG $KDR

Robert Simons | $KDR 🐉

37,835 次观看 • 1 年前

DIGITAL TWIN UPDATE: The Unreal Engine digital twin project is CANCELLED! WE ARE OPEN SOURCING THE WORK!!!!!!! Instead, I'm building an end-to-end land management platform I'm calling Mazzap because it's an app and it's a map and also I'm Mr. Mazza. I'm also not calling a digital twin anymore; I'm calling it a V.E.I.L. which stands for Virtually Embodied Intelligent Land which serves the dual purpose of sounding way cooler and also conveys the long-term aims of the prject way better. With Mazzap anyone can easily generate a veil with nothing but publicly available data (and some photogrammetry objects if you so choose). Everything is perfectly georefrenced and you can right-click anywhere on your veil to get coordinates you can plug into google maps yourself. The next step for this is going to be building a survey companion mobile app so you can get field data yourself complete with attribute tables to drop in to get even HIGHER fidelity data than USGS. My stretch goal is using something like SAM 3D (but better) to generate georefrenced 3d tree assets based on the real trees on your land (which will eventually lead to growth and fruiting simulators based on your soil and hydrology data). Then again maybe that's not the next step; maybe the next step is plumbing in IoT devices so you can view assets in real time on your land. GPS trackers on the sheep, or maybe data from your solar controller. Or maybe it's up to you, because it's completely open source and it has an agents markdown file ready for your own coding agent to read and adapt for your purposes (did I mention this is vibecloded slop? sowwyyyy) Watch demo below and see how you can go from zero to beautifully rendered 3d map of your property in less than 15 minutes! If you're coming in cold to all this, below in the QT is a nested thread of reverse chronological tweets of my work on this (in unreal) so far.

DIGITAL TWIN UPDATE: The Unreal Engine digital twin project is CANCELLED! WE ARE OPEN SOURCING THE WORK!!!!!!! Instead, I'm building an end-to-end land management platform I'm calling Mazzap because it's an app and it's a map and also I'm Mr. Mazza. I'm also not calling a digital twin anymore; I'm calling it a V.E.I.L. which stands for Virtually Embodied Intelligent Land which serves the dual purpose of sounding way cooler and also conveys the long-term aims of the prject way better. With Mazzap anyone can easily generate a veil with nothing but publicly available data (and some photogrammetry objects if you so choose). Everything is perfectly georefrenced and you can right-click anywhere on your veil to get coordinates you can plug into google maps yourself. The next step for this is going to be building a survey companion mobile app so you can get field data yourself complete with attribute tables to drop in to get even HIGHER fidelity data than USGS. My stretch goal is using something like SAM 3D (but better) to generate georefrenced 3d tree assets based on the real trees on your land (which will eventually lead to growth and fruiting simulators based on your soil and hydrology data). Then again maybe that's not the next step; maybe the next step is plumbing in IoT devices so you can view assets in real time on your land. GPS trackers on the sheep, or maybe data from your solar controller. Or maybe it's up to you, because it's completely open source and it has an agents markdown file ready for your own coding agent to read and adapt for your purposes (did I mention this is vibecloded slop? sowwyyyy) Watch demo below and see how you can go from zero to beautifully rendered 3d map of your property in less than 15 minutes! If you're coming in cold to all this, below in the QT is a nested thread of reverse chronological tweets of my work on this (in unreal) so far.

Zy

57,100 次观看 • 5 个月前

Solon Lee (Producer at Kuro Games): Thank You for Playing My Game "Wuthering Waves: Exploring Game Creation Under Unreal Engine." Interview by Nvliu66 When you think of Unreal Engine, what comes to mind? A few days ago, at the Epic Games Shanghai office, I met the producers of Clair Obscur: Expedition 33 and Wuthering Waves. Both games are developed based on Unreal Engine, and they shared the stories behind their game creation. My biggest takeaway was that while a great game stems from a producer's emotional expression, its realization relies on the "escort" of technology. Let's return to the interview scene and listen once more to their unique insights on game development. Wuthering Waves and Unreal Engine Bill Clifford (VP and GM of Unreal Engine at Epic Games): With Wuthering Waves, they used many complex artistic techniques to present this anime style, and it's truly outstanding. They are among the first companies to create a role-playing game in an open world that is also cross-platform, which is another incredible feat. They introduced console-level graphics and combat systems while maintaining a consistent update frequency. Furthermore, as they adopt and integrate new Unreal Engine technologies into the game, the experience is continuously enhanced. It’s a truly inspiring success story. Solon Lee (Producer at Kuro Games): We have grown alongside the updates of the UE engine, including the release of UE5. Throughout the process, we’ve been able to learn from UE’s updates. When UE5 was released, it introduced many new technical features, especially ray tracing. Everyone currently praises the ray tracing effects in Wuthering Waves, which is actually due to the continuous updates of the engine. We found those highlights and ported them over to UE4.26. During this process, our engineers were learning the logic of the engine, following its updates, and developing an engineering mindset and a way of creating visual effects. So, my biggest personal takeaway is that choosing a top-tier engine doesn’t just make the game better; it makes us better in the process. "Punishing: Gray Raven" was developed on the Unity platform, while "Wuthering Waves" is based on Unreal. What was the reasoning behind this change at the time? Solon Lee: Psychologically, we don’t have a heavy dependence. We don't feel that just because we've used Unity, we must continue using it. We are a bit more pragmatic. When we were about to start Wuthering Waves, we clearly knew we wanted to make an open world. UE obviously offers more support for open worlds. We felt that "standing on the shoulders of giants" to make a game was definitely a more practical decision. At that time, we could also sense that most engineers in the industry had an aspiration toward UE. "Wuthering Waves" has been live for a year and a half. At this stage, could you use a short summary or a few words to introduce "Wuthering Waves" to the players? Solon Lee: Wuthering Waves is a game that strives to continuously create resonance with players. From the excitement and design of the action to the scriptwriting and performances, we strive to find "highlight segments" or moments in every version that can trigger internal resonance, touch the heart, or make players "scream" with excitement. This is actually a creative consensus our team has slowly formed over the past year. When we find that moment in a version and we ourselves "scream" for it, we feel that there is a high probability that when the version is released, it will be recognized by the users. Because the most important thing about a game is that it must be fun, as developers, we often think about what kind of game qualifies as "fun." What is a "Fun" Game? Solon Lee: One point I can think of right now is that the rules should be as simple as possible. As soon as you start, after two slashes or casting a skill, you should feel, "Wow, that was so cool! I want to do it again! Wow, so cool!" Specifically for action games, the "fun" is often hidden in very small granularities. For example, if you compare two different games where you are just running and jumping, the running in some games feels fun. Why? It might just be because the "grip" is better, the animation swing feels better, or it gives you a sense of gravity or momentum. Whether a point in a game is fun can be subjective. For me, there are a few games that have had a significant influence on my work. One is definitely NieR; when we were making Punishing: Gray Raven in the early days, we were very inspired by NieR. When Devil May Cry 5 came out, it gave us a lot of new inspiration for our combat system. Death Stranding is indeed one of my personal favorite games from recent years. When Elden Ring was released, it also gave us a very strong impression and touched us deeply. The project for Wuthering Waves started in the first half of 2020. At that time, there were very few open-world action games on the market because most action games back then were stage-based (linear/hub-based). All excellent action games required very tight level design. Later, Elden Ring came out, and experiencing it gave us strong resonance. We felt that action games definitely have potential in an open world, and we believe it should be that way. A Message to the Players Solon Lee: I am truly grateful that so many players like Wuthering Waves. It is because of everyone’s love whether it's encouragement or criticism that we are given a lot of motivation to maintain our continuous passion to make our game better. I believe the only way we can give back to the players who like Kuro and Wuthering Waves is by producing better and better versions and content, and making more and more great games. Happy New Year, and thank you for playing my game. translated by Xu #WutheringWaves #WuWa

Solon Lee (Producer at Kuro Games): Thank You for Playing My Game "Wuthering Waves: Exploring Game Creation Under Unreal Engine." Interview by Nvliu66 When you think of Unreal Engine, what comes to mind? A few days ago, at the Epic Games Shanghai office, I met the producers of Clair Obscur: Expedition 33 and Wuthering Waves. Both games are developed based on Unreal Engine, and they shared the stories behind their game creation. My biggest takeaway was that while a great game stems from a producer's emotional expression, its realization relies on the "escort" of technology. Let's return to the interview scene and listen once more to their unique insights on game development. Wuthering Waves and Unreal Engine Bill Clifford (VP and GM of Unreal Engine at Epic Games): With Wuthering Waves, they used many complex artistic techniques to present this anime style, and it's truly outstanding. They are among the first companies to create a role-playing game in an open world that is also cross-platform, which is another incredible feat. They introduced console-level graphics and combat systems while maintaining a consistent update frequency. Furthermore, as they adopt and integrate new Unreal Engine technologies into the game, the experience is continuously enhanced. It’s a truly inspiring success story. Solon Lee (Producer at Kuro Games): We have grown alongside the updates of the UE engine, including the release of UE5. Throughout the process, we’ve been able to learn from UE’s updates. When UE5 was released, it introduced many new technical features, especially ray tracing. Everyone currently praises the ray tracing effects in Wuthering Waves, which is actually due to the continuous updates of the engine. We found those highlights and ported them over to UE4.26. During this process, our engineers were learning the logic of the engine, following its updates, and developing an engineering mindset and a way of creating visual effects. So, my biggest personal takeaway is that choosing a top-tier engine doesn’t just make the game better; it makes us better in the process. "Punishing: Gray Raven" was developed on the Unity platform, while "Wuthering Waves" is based on Unreal. What was the reasoning behind this change at the time? Solon Lee: Psychologically, we don’t have a heavy dependence. We don't feel that just because we've used Unity, we must continue using it. We are a bit more pragmatic. When we were about to start Wuthering Waves, we clearly knew we wanted to make an open world. UE obviously offers more support for open worlds. We felt that "standing on the shoulders of giants" to make a game was definitely a more practical decision. At that time, we could also sense that most engineers in the industry had an aspiration toward UE. "Wuthering Waves" has been live for a year and a half. At this stage, could you use a short summary or a few words to introduce "Wuthering Waves" to the players? Solon Lee: Wuthering Waves is a game that strives to continuously create resonance with players. From the excitement and design of the action to the scriptwriting and performances, we strive to find "highlight segments" or moments in every version that can trigger internal resonance, touch the heart, or make players "scream" with excitement. This is actually a creative consensus our team has slowly formed over the past year. When we find that moment in a version and we ourselves "scream" for it, we feel that there is a high probability that when the version is released, it will be recognized by the users. Because the most important thing about a game is that it must be fun, as developers, we often think about what kind of game qualifies as "fun." What is a "Fun" Game? Solon Lee: One point I can think of right now is that the rules should be as simple as possible. As soon as you start, after two slashes or casting a skill, you should feel, "Wow, that was so cool! I want to do it again! Wow, so cool!" Specifically for action games, the "fun" is often hidden in very small granularities. For example, if you compare two different games where you are just running and jumping, the running in some games feels fun. Why? It might just be because the "grip" is better, the animation swing feels better, or it gives you a sense of gravity or momentum. Whether a point in a game is fun can be subjective. For me, there are a few games that have had a significant influence on my work. One is definitely NieR; when we were making Punishing: Gray Raven in the early days, we were very inspired by NieR. When Devil May Cry 5 came out, it gave us a lot of new inspiration for our combat system. Death Stranding is indeed one of my personal favorite games from recent years. When Elden Ring was released, it also gave us a very strong impression and touched us deeply. The project for Wuthering Waves started in the first half of 2020. At that time, there were very few open-world action games on the market because most action games back then were stage-based (linear/hub-based). All excellent action games required very tight level design. Later, Elden Ring came out, and experiencing it gave us strong resonance. We felt that action games definitely have potential in an open world, and we believe it should be that way. A Message to the Players Solon Lee: I am truly grateful that so many players like Wuthering Waves. It is because of everyone’s love whether it's encouragement or criticism that we are given a lot of motivation to maintain our continuous passion to make our game better. I believe the only way we can give back to the players who like Kuro and Wuthering Waves is by producing better and better versions and content, and making more and more great games. Happy New Year, and thank you for playing my game. translated by Xu #WutheringWaves #WuWa

Naru

55,609 次观看 • 5 个月前

This is how ALOHA's "teleoperation" system works - a fancy word for "remote control". Training robots will be more and more like playing games in the physical world. A human operates a "joystick++" to perform tasks and collect data, or intervene if there's any safety concern. There's actually a learning curve to master the controller, much like practicing gaming skills. Teleoperation can be done in many different ways. ALOHA is an impressive custom-built system with very low cost. Here're a few alternatives: (1) Motion Capture (MoCap): apply the MoCap systems used for Hollywood movies to capture the fine-grained motions of hand joints. There would be no "embodiment gap" if the robot hand has 5 fingers. For instance, a demonstrator can wear a CyberGlove ( and manipulate the objects. CyberGlove will capture the motion signals & haptic feedback in real-time, which can be re-targeted onto the humanoid. (2) Wearing gloves & markers can be clumsy. An alternative way to do MoCap is through computer vision. DexPilot from NVIDIA enables marker-less and glove-free data collection. The human operator simply uses their bare hands to perform the tasks. 4 Intel RealSense depth cameras and 2 NVIDIA Titan XP GPUs (yeah, 2019 work) translate the pixels to precise motion signals for robot learning. (3) VR Headset: turn the training room into a VR game and "role play" the robot. This has the advantage of scalable remote data collection - annotators from around the world can contribute without coming onsite. VR demonstration technique appeared in research projects like the iGibson home robot simulator, an initiative that I participated in at Stanford: Behind-the-scene video by Litian Liang

This is how ALOHA's "teleoperation" system works - a fancy word for "remote control". Training robots will be more and more like playing games in the physical world. A human operates a "joystick++" to perform tasks and collect data, or intervene if there's any safety concern. There's actually a learning curve to master the controller, much like practicing gaming skills. Teleoperation can be done in many different ways. ALOHA is an impressive custom-built system with very low cost. Here're a few alternatives: (1) Motion Capture (MoCap): apply the MoCap systems used for Hollywood movies to capture the fine-grained motions of hand joints. There would be no "embodiment gap" if the robot hand has 5 fingers. For instance, a demonstrator can wear a CyberGlove ( and manipulate the objects. CyberGlove will capture the motion signals & haptic feedback in real-time, which can be re-targeted onto the humanoid. (2) Wearing gloves & markers can be clumsy. An alternative way to do MoCap is through computer vision. DexPilot from NVIDIA enables marker-less and glove-free data collection. The human operator simply uses their bare hands to perform the tasks. 4 Intel RealSense depth cameras and 2 NVIDIA Titan XP GPUs (yeah, 2019 work) translate the pixels to precise motion signals for robot learning. (3) VR Headset: turn the training room into a VR game and "role play" the robot. This has the advantage of scalable remote data collection - annotators from around the world can contribute without coming onsite. VR demonstration technique appeared in research projects like the iGibson home robot simulator, an initiative that I participated in at Stanford: Behind-the-scene video by Litian Liang

Jim Fan

124,588 次观看 • 2 年前

A normal football moment turned into a futuristic legend. ⚽⚡🔥 From a dream shot to a cyber-powered goal AI brought this cinematic football universe to life. Made with GPT Image 2 + Seedance 2.0 Mini on Pollo AI Prompt: Scene 1 (0–2s) – Stadium Establishing Shot A packed football stadium at night under brilliant floodlights. The crowd roars as the camera slowly pushes toward the pitch. Flags wave, atmospheric particles float through the air, and the stadium feels massive and alive. Ultra-realistic sports broadcast quality. Scene 2 (2–4s) – Perfect Cross An original football athlete wearing a sleek futuristic white-and-neon football kit tracks a perfect aerial cross. The camera follows the ball before smoothly transitioning to the athlete's focused expression. Dramatic anticipation builds with cinematic slow motion. Scene 3 (4–7s) – The Leap The athlete explodes into an incredible bicycle volley. The camera switches between low-angle tracking shots, slow-motion close-ups, and dynamic aerial perspectives. Flying grass, dust, and motion blur enhance the realism. Scene 4 (7–10s) – Time Freeze At the exact instant before the foot touches the ball, time completely freezes. Every particle hangs motionless. The camera performs a slow cinematic orbit around the athlete while the stadium remains perfectly frozen. Scene 5 (10–13s) – Cyber Transformation Mechanical armor assembles over the athlete's body piece by piece. Blue and orange energy lines ignite, the visor activates, mechanical wings unfold, and the football transforms into a glowing plasma sphere surrounded by electricity, fire, sparks, and floating energy fragments. Scene 6 (13–15s) – Cliffhanger The transformation completes. The cyber athlete remains frozen inches away from striking the glowing plasma ball. End with a dramatic close-up, intense lens flare, floating energy particles, and a seamless cliffhanger ready for Part 2. Style: Original fictional character only. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, premium VFX, volumetric lighting, HDR, cinematic sports commercial, smooth camera movement, 1080p detail, blockbuster visuals. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no text, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no low quality, no camera shake, no glitches. Part 2 Scene 1 (15–17s) – Action Resumes Time suddenly resumes from the frozen frame. The cyber athlete unleashes a devastating bicycle volley. The instant the foot strikes the plasma football, a massive burst of blue electricity, orange fire, sparks, plasma energy, and shockwaves explodes outward. Capture the impact with ultra slow motion and dramatic close-ups. Scene 2 (17–20s) – Plasma Ball Flight The plasma football rockets toward the goal at incredible speed, leaving behind blazing fire trails, blue lightning, glowing plasma particles, and motion streaks. The camera alternates between tracking shots, side views, and behind-the-ball perspectives while the crowd becomes a cinematic blur. Scene 3 (20–22s) – Goal Impact The glowing plasma football smashes into the top corner of the goal. The net ripples violently as a gigantic energy explosion erupts. Sparks, debris, plasma waves, and holographic shockwaves spread throughout the stadium with blockbuster visual effects. Scene 4 (22–25s) – Stadium Celebration The stadium erupts with fireworks, holographic lights, smoke, confetti, waving flags, and roaring fans. Bright floodlights illuminate the entire arena while glowing energy particles drift through the air. Epic cinematic drone shots reveal the celebration. Scene 5 (25–28s) – Hero Landing The cyber athlete lands powerfully on the pitch. Mechanical wings slowly fold back into the armor while blue energy lines gradually fade. Floating sparks and glowing fragments surround the athlete as the camera circles dramatically. Scene 6 (28–30s) – Epic Finale The athlete stands in a victorious heroic pose facing the roaring stadium. The camera slowly pushes in while cinematic lens flares, volumetric lighting, drifting smoke, and holographic particles fill the scene. End on a premium blockbuster frame with an unforgettable cinematic finish. Style: Original fictional football athlete only. Do not resemble or recreate any real football player, club, team, logo, jersey, or copyrighted content. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, HDR, volumetric lighting, premium VFX, smooth cinematic camera movement, ultra-detailed 1080p, realistic physics, blockbuster sports commercial. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no glitches, no low quality, no camera shake. #PolloAI #PolloCup

Stonic AI

30,576 次观看 • 1 个月前

⚡ My first advanced simulation with Grok 3! Finally your OS windows act like REAL windows 🤣 As you know, I've spent more than 2 years sharing all kinds of simulations and mini-games made with Claude, ChatGPT (o3-mini-high), etc. It’s been ages since I last wrote a single line of code. But pretty often, once you hit over 1,000 lines, it turns into a debate against the LLM and you frequently get stuck in a loop that’s hard to break out of. Everyone was raving about Grok 3’s ability to generate code, but until now, I hadn’t really put it to the test. So I decided to challenge it with a prompt that both ChatGPT and Claude were seriously struggling with (debate loop). The initial prompt was: "Use Python and a 2D physics library to create a world where I can generate different static objects like squares, triangles, circles and rectangles. I should be able to move them with the mouse, rotate, scale, and delete them. The cool part is that we’ll see this world through 1 to N operating system windows. In other words, the windows will be like real windows! When one of these windows is active and I hit the spacebar, balls affected by physics should appear and interact with the static objects. You can start with placeholders, but later I'll send you a series of PNG images so they all become beautiful sprites." After a few iterations, I got the result you see in the video. Insane, right? 🤯 Now, with Grok, we have the power to create anything that pops into our mind with just a couple of prompts. It’s mind blowing. Ever since I was 9 and messing around with BASIC on my MSX, I've been hooked on visual simulations... And now I can create them using nothing but natural language. It's f***** amazing that we're living in this historic moment!

⚡ My first advanced simulation with Grok 3! Finally your OS windows act like REAL windows 🤣 As you know, I've spent more than 2 years sharing all kinds of simulations and mini-games made with Claude, ChatGPT (o3-mini-high), etc. It’s been ages since I last wrote a single line of code. But pretty often, once you hit over 1,000 lines, it turns into a debate against the LLM and you frequently get stuck in a loop that’s hard to break out of. Everyone was raving about Grok 3’s ability to generate code, but until now, I hadn’t really put it to the test. So I decided to challenge it with a prompt that both ChatGPT and Claude were seriously struggling with (debate loop). The initial prompt was: "Use Python and a 2D physics library to create a world where I can generate different static objects like squares, triangles, circles and rectangles. I should be able to move them with the mouse, rotate, scale, and delete them. The cool part is that we’ll see this world through 1 to N operating system windows. In other words, the windows will be like real windows! When one of these windows is active and I hit the spacebar, balls affected by physics should appear and interact with the static objects. You can start with placeholders, but later I'll send you a series of PNG images so they all become beautiful sprites." After a few iterations, I got the result you see in the video. Insane, right? 🤯 Now, with Grok, we have the power to create anything that pops into our mind with just a couple of prompts. It’s mind blowing. Ever since I was 9 and messing around with BASIC on my MSX, I've been hooked on visual simulations... And now I can create them using nothing but natural language. It's f***** amazing that we're living in this historic moment!

Javi Lopez ⛩️

209,470 次观看 • 1 年前

It's officially that time of year again! Presenting the second annual "DreamDisc" indie gamejam for the Sega Dreamcast! If you weren't around for last year, check out the video! We had 24 incredibly polished, epic submissions including a wide-range of genres, such as 3D space shooters and resource managers, 2D platformers and racing games, VMU minigames, custom hardware, and even a custom implementation of the Java VM for SH4! Just like last year, the top 10 submissions, as voted by a panel of judges, will be pressed to a commercially released, actual physical Sega Dreamcast disc, which will be available for purchase from Orc Face Games - Chew Chew Mimic out on Dreamcast!! Oh, and there are cash prizes for the top 3, of course! This year we have an even wider range of engines, frameworks, and prebuilt library solutions for developers are all experience levels, including: 1) Antiruins - Lua-based, very newbie friendly game engine for the Sega Dreamcast. 2) raylib - famous cross-platform C-based games framework which needs no introduction 3) SDL2/3 - our very own ports of the famous cross-platform SDL libraries, which target the Dreamcast. 4) Simulant - the same engine that powered Driving Strikers--the very first online homebrew commercial DC game--as well as last year's wining submission, written in C++. 5) KallistiOS - you can raw-dog the indie SDK and pseudo OS that started it all and powers everything in the community, rolling your own tech stack. 6) SH4ZAM - my collection of SH4 assembly optimized math and matrix routines, which originally powered our Grand Theft Auto ports. Contestants are encouraged to join the OrcFace and Simulant Discord servers where they can interact with other DC developers, share their progress, and ask for help with anything they may need. Official DreamDisc '25 website:

It's officially that time of year again! Presenting the second annual "DreamDisc" indie gamejam for the Sega Dreamcast! If you weren't around for last year, check out the video! We had 24 incredibly polished, epic submissions including a wide-range of genres, such as 3D space shooters and resource managers, 2D platformers and racing games, VMU minigames, custom hardware, and even a custom implementation of the Java VM for SH4! Just like last year, the top 10 submissions, as voted by a panel of judges, will be pressed to a commercially released, actual physical Sega Dreamcast disc, which will be available for purchase from Orc Face Games - Chew Chew Mimic out on Dreamcast!! Oh, and there are cash prizes for the top 3, of course! This year we have an even wider range of engines, frameworks, and prebuilt library solutions for developers are all experience levels, including: 1) Antiruins - Lua-based, very newbie friendly game engine for the Sega Dreamcast. 2) raylib - famous cross-platform C-based games framework which needs no introduction 3) SDL2/3 - our very own ports of the famous cross-platform SDL libraries, which target the Dreamcast. 4) Simulant - the same engine that powered Driving Strikers--the very first online homebrew commercial DC game--as well as last year's wining submission, written in C++. 5) KallistiOS - you can raw-dog the indie SDK and pseudo OS that started it all and powers everything in the community, rolling your own tech stack. 6) SH4ZAM - my collection of SH4 assembly optimized math and matrix routines, which originally powered our Grand Theft Auto ports. Contestants are encouraged to join the OrcFace and Simulant Discord servers where they can interact with other DC developers, share their progress, and ask for help with anything they may need. Official DreamDisc '25 website:

Falco Girgis

16,980 次观看 • 8 个月前

Rulership: Hot spring inns... once upon a time, they were known as a sacred haven for board gamers. Rulership: Playing cards, Hanafuda, Mahjong... All kinds of games were played there by groups of tourists. Rulership: And now, that paradise... comes back to life across time! Let's move out, Trainer. Time to establish a brand-new resort style for board gamers. A hot spring trip between hardcore gamers—the hype was real even before we set off. And then... ----------ONE BATH SCENE LATER---------- Rulership: Ahhh, that hit the spot... Now that we're fresh out of the bath—HEAVY BOARD GAME MARATHON!! Trainer: Already!? Rulership: Yeah! We’ve got all the time in the world. Which means heavy games are the only way to go! Heavy games! Rulership: "Heavy games"—referring to complex board games requiring massive amounts of time, impossible to play under normal circumstances. Rulership: While balancing a race schedule, a full play session is nothing but a fever dream. But here... Rulership: In this place, we don't have to worry about time limits! We can play as much as we want... Oh man, I'm gonna lose my mind. Rulership: Trainer, which one are we starting with? Which one!? Whoa, I am getting so pumped up~! Trainer: Let's just jump into whatever we grab first! And so, the massive heavy game marathon began. -------------ONE 'HEAVY GAME'------------ Rulership: Woah, look at this super ultra-long map sheet... We can actually unroll the entire thing in this room! Alright, let's start. A 100-year intergalactic alliance war spanning across the entire galaxy! -------------ONE 'HEAVY MAP'-------------- Rulership: Whoaaa, it's finally built! After three whole grueling hours of gathering resources, the Tower of Babel is complete...! Rulership: I've never seen it actually built in a real physical playthrough before... Photo time! I gotta take tons of pictures. Rulership: A streak of rare, unforgettable gaming experiences you could never get on a regular day. And then— Waitress: Pardon the intrusion. Here is your dinner service~ Rulership: Wait, what!? Oh, this board game convention... Even without ordering online, high-end handmade food made with luxury ingredients just gets delivered automatically?! Trainer: Yeah, this is... an absolute game changer. Rulership: Seriously... All-you-can-play heavy games, plus automatic high-end cuisine served right to us. What a god-tier environment. This is a new-era board game cafe. Board Game Cafe 2.0. Rulership: Trainer, I'm so glad for us~Working hard all the way here, so we could finally afford a trip like this. Trainer: Yeah, it's the ultimate reward. Rulership: For a board gamer, there could be no greater bliss than this.... Oh, I just had a brilliant idea, Trainer! In the future, when we become even more successful—why don't we build a "Board Game Ryokan"? Rulership: Yeah, today we brought our own, but we could stock a massive collection of board games in advance... That way, anyone can easily experience what we're feeling today. It'd be the creation of an eternal... paradise. Trainer: If we could actually pull that off, it would be truly amazing. Rulership: Heh... Alright Trainer, it's settled. In the future—I will become the Ruler of the Twinkle Series! And at the same time—I'll become the Proprietor of the Ryokan! I'll make it happen. Rulership: Heh... Supreme Ruler & General Manager. I'll achieve both in one go. Rulership: As for your position... what should it be? Trainer combined with Husband of the Proprietress? Or maybe Trainer combined with Co-Owner works too. Rulership: Alright, once we finish dinner, it's time for another round. Let's unbox all these unopened games too! Trainer: Hell yeah! It was a moment where I felt an irreplaceable bond with Rulership...

Espy

11,568 次观看 • 15 天前

Announcing DreamDojo: our open-source, interactive world model that takes robot motor controls and generates the future in pixels. No engine, no meshes, no hand-authored dynamics. It's Simulation 2.0. Time for robotics to take the bitter lesson pill. Real-world robot learning is bottlenecked by time, wear, safety, and resets. If we want Physical AI to move at pretraining speed, we need a simulator that adapts to pretraining scale with as little human engineering as possible. Our key insights: (1) human egocentric videos are a scalable source of first-person physics; (2) latent actions make them "robot-readable" across different hardware; (3) real-time inference unlocks live teleop, policy eval, and test-time planning *inside* a dream. We pre-train on 44K hours of human videos: cheap, abundant, and collected with zero robot-in-the-loop. Humans have already explored the combinatorics: we grasp, pour, fold, assemble, fail, retry—across cluttered scenes, shifting viewpoints, changing light, and hour-long task chains—at a scale no robot fleet could match. The missing piece: these videos have no action labels. So we introduce latent actions: a unified representation inferred directly from videos that captures "what changed between world states" without knowing the underlying hardware. This lets us train on any first-person video as if it came with motor commands attached. As a result, DreamDojo generalizes zero-shot to objects and environments never seen in any robot training set, because humans saw them first. Next, we post-train onto each robot to fit its specific hardware. Think of it as separating "how the world looks and behaves" from "how this particular robot actuates." The base model follows the general physical rules, then "snaps onto" the robot's unique mechanics. It's kind of like loading a new character and scene assets into Unreal Engine, but done through gradient descent and generalizes far beyond the post-training dataset. A world simulator is only useful if it runs fast enough to close the loop. We train a real-time version of DreamDojo that runs at 10 FPS, stable for over a minute of continuous rollout. This unlocks exciting possibilities: - Live teleoperation *inside* a dream. Connect a VR controller, stream actions into DreamDojo, and teleop a virtual robot in real time. We demo this on Unitree G1 with a PICO headset and one RTX 5090. - Policy evaluation. You can benchmark a policy checkpoint in DreamDojo instead of the real world. The simulated success rates strongly correlate with real-world results - accurate enough to rank checkpoints without burning a single motor. - Model-based planning. Sample multiple action proposals → simulate them all in parallel → pick the best future. Gains +17% real-world success out of the box on a fruit packing task. We open-source everything!! Weights, code, post-training dataset, eval set, and whitepaper with tons of details to reproduce. DreamDojo is based on NVIDIA Cosmos, which is open-weight too. 2026 is the year of World Models for physical AI. We want you to build with us. Happy scaling! Links in thread:

Announcing DreamDojo: our open-source, interactive world model that takes robot motor controls and generates the future in pixels. No engine, no meshes, no hand-authored dynamics. It's Simulation 2.0. Time for robotics to take the bitter lesson pill. Real-world robot learning is bottlenecked by time, wear, safety, and resets. If we want Physical AI to move at pretraining speed, we need a simulator that adapts to pretraining scale with as little human engineering as possible. Our key insights: (1) human egocentric videos are a scalable source of first-person physics; (2) latent actions make them "robot-readable" across different hardware; (3) real-time inference unlocks live teleop, policy eval, and test-time planning inside a dream. We pre-train on 44K hours of human videos: cheap, abundant, and collected with zero robot-in-the-loop. Humans have already explored the combinatorics: we grasp, pour, fold, assemble, fail, retry—across cluttered scenes, shifting viewpoints, changing light, and hour-long task chains—at a scale no robot fleet could match. The missing piece: these videos have no action labels. So we introduce latent actions: a unified representation inferred directly from videos that captures "what changed between world states" without knowing the underlying hardware. This lets us train on any first-person video as if it came with motor commands attached. As a result, DreamDojo generalizes zero-shot to objects and environments never seen in any robot training set, because humans saw them first. Next, we post-train onto each robot to fit its specific hardware. Think of it as separating "how the world looks and behaves" from "how this particular robot actuates." The base model follows the general physical rules, then "snaps onto" the robot's unique mechanics. It's kind of like loading a new character and scene assets into Unreal Engine, but done through gradient descent and generalizes far beyond the post-training dataset. A world simulator is only useful if it runs fast enough to close the loop. We train a real-time version of DreamDojo that runs at 10 FPS, stable for over a minute of continuous rollout. This unlocks exciting possibilities: - Live teleoperation inside a dream. Connect a VR controller, stream actions into DreamDojo, and teleop a virtual robot in real time. We demo this on Unitree G1 with a PICO headset and one RTX 5090. - Policy evaluation. You can benchmark a policy checkpoint in DreamDojo instead of the real world. The simulated success rates strongly correlate with real-world results - accurate enough to rank checkpoints without burning a single motor. - Model-based planning. Sample multiple action proposals → simulate them all in parallel → pick the best future. Gains +17% real-world success out of the box on a fruit packing task. We open-source everything!! Weights, code, post-training dataset, eval set, and whitepaper with tons of details to reproduce. DreamDojo is based on NVIDIA Cosmos, which is open-weight too. 2026 is the year of World Models for physical AI. We want you to build with us. Happy scaling! Links in thread:

Jim Fan

226,180 次观看 • 5 个月前