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If you need high-precision motion capture, check out MANUS™'s Metagloves Pro, data gloves delivering "millimeter-level precision with no occlusion." They capture every finger, joint, and micro-movement in real time:

80 LEVEL

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34,996 просмотров • 6 месяцев назад •via X (Twitter)

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MANUS data gloves capture every finger, joint, and micro-movement in real time. 25 degrees of freedom. Complete, accurate, low-latency data for high-quality datasets and advanced applications.

MANUS data gloves capture every finger, joint, and micro-movement in real time. 25 degrees of freedom. Complete, accurate, low-latency data for high-quality datasets and advanced applications.

MANUS™

151,759 просмотров • 6 месяцев назад

Stadium-scale, studio-quality motion capture is launching soon… Full 3D control, stable bone lengths and realistic ground-foot contact for high-fidelity animation in Unreal Engine, Blender or any 3D engine. This is not pose estimation—this is dynamic, high-precision, real-world data capturing at AAA quality, providing you with lifelike avatars and seamless animation like never before. 📷⚽️

Stadium-scale, studio-quality motion capture is launching soon… Full 3D control, stable bone lengths and realistic ground-foot contact for high-fidelity animation in Unreal Engine, Blender or any 3D engine. This is not pose estimation—this is dynamic, high-precision, real-world data capturing at AAA quality, providing you with lifelike avatars and seamless animation like never before. 📷⚽️

Move AI

67,319 просмотров • 1 год назад

🎬 New in v1.1.7: Black Eye Multicam Switcher A gamechanger for mocap stages, live events, and real-time productions - instantly switch between dynamic cinematic cameras with precision and control. Perfect for motion capture floors, music performances, virtual production, and more. Demo videos and full details coming shortly.

🎬 New in v1.1.7: Black Eye Multicam Switcher A gamechanger for mocap stages, live events, and real-time productions - instantly switch between dynamic cinematic cameras with precision and control. Perfect for motion capture floors, music performances, virtual production, and more. Demo videos and full details coming shortly.

Adam Myhill

35,882 просмотров • 1 год назад

🇺🇸BREAKING: A high-level military meeting convened by the Pentagon has begun in the US Defense Secretary Pete Hegseth is delivering a speech: “We have the strongest and deadliest army on the planet. No one can touch us. If our enemies dare to challenge us, they will be crushed with the brutality, precision, and ferocity of the Department of War.” Hegseth then turned to gender issues, making it clear that transgender people will no longer serve in the US Army: “No men in dresses. No more worship of climate change, no gender delusions. We’re done with this crap.”

🇺🇸BREAKING: A high-level military meeting convened by the Pentagon has begun in the US Defense Secretary Pete Hegseth is delivering a speech: “We have the strongest and deadliest army on the planet. No one can touch us. If our enemies dare to challenge us, they will be crushed with the brutality, precision, and ferocity of the Department of War.” Hegseth then turned to gender issues, making it clear that transgender people will no longer serve in the US Army: “No men in dresses. No more worship of climate change, no gender delusions. We’re done with this crap.”

NEXTA

683,927 просмотров • 10 месяцев назад

Nano Banana + Linah AI + Markdown prompting is next-level All of these UGC ads was built entirely with AI no creators, no editors. And the secret? Structured Markdown prompts. They turn a generic input into a brand-consistent, high-precision video every single time. Perfect for DTC founders and creative teams who need ads that actually match their brand guidelines. Instead of writing long, messy prompts and praying for good results… Markdown prompting gives you predictable, repeatable video outputs. Your prompt precision skyrockets → with organized sections for: Camera angles Brand elements Lighting specs Scene transitions Here’s what you get with Markdown + Linah: → Clear creative direction → Consistent UGC-style video ads → Way higher coherence across outputs → No “creative lottery” problem → Scalable video generation that matches your brand The result? Ads you can trust → built at scale, with zero human creators. Want the full Markdown templates we use with Linah? Comment “SYSTEM” + like this post, and I’ll DM them over. (must be following)

Demirdjian Twins

65,971 просмотров • 10 месяцев назад

Cooking meets cinematic AI. This stunning commercial was created with Seedance 2.0 in Lart AI Delivering realistic motion, rich food details, and premium visuals that look like a real production. Create yours here 👇 Prompt: THE FLAME CHEF - 15 second high-energy cinematic cooking film, 10 rapid scenes, fast rhythmic pacing, whip-pan and speed-ramp transitions between every scene, kinetic kitchen artistry from fresh ingredients to final plated dish. Shot on ARRI Alexa 35, 35mm lens, natural film grain, rich warm color grade with deep shadows and golden highlights, professional food cinematography, photorealistic, not CGI. Dark moody restaurant kitchen, dramatic overhead lighting, steam and warm glow. SCENE 1 (0-1.5s): Chef's hand places a cast iron pan onto a glowing gas burner with confident energy, blue flame rising around the edges, quick real time then micro slow motion on the flame glow, hard whip-pan into locked close-up. SCENE 2 (1.5-3s): Rapid skilled vegetable prep, knife rocking smoothly through fresh herbs and bell peppers in rhythmic motion, hyper-fast real time with hands in controlled motion, one pepper slice spinning in brief slow motion, top-down locked shot. SCENE 3 (3-4.5s): Butter cube tossed gracefully through the air landing in the warm pan, melting instantly into golden foam and swirl, slow motion flight with speed ramp to real time on the sizzle, side macro tracking the arc. SCENE 4 (4.5-6s): Chef flips the pan, vegetables rising upward in a golden arc, warm flame glow beneath, tiny seasoning embers drifting, speed ramp from real time flip into dramatic slow motion at the peak of the toss, low hero angle. SCENE 5 (6-7.5s): Extreme macro, garlic and chili meeting hot oil, lively golden bubbles, steam rising in a soft backlit plume, 120fps slow motion with every bubble crisp, probe lens push-in through the steam. SCENE 6 (7.5-9s): Chef seasoning from height with flowing hand movement, salt crystals raining down in slow motion through a shaft of overhead light catching like snow, slow motion rain against fast hand movement, side close-up with shallow focus on the crystals. SCENE 7 (9-10.5s): Sauce poured from a steel pan in a glossy ribbon coating the dish in one continuous silky wave, steam curling, silky hypnotic slow motion, orbiting macro around the pour. SCENE 8 (10.5-12s): Fresh herbs dropped from above, leaves tumbling in slow motion landing perfectly on the glistening dish, tiny sparkle of sauce, slow motion fall with real time landing, top-down locked shot. SCENE 9 (12-13.5s): Chef wipes the plate rim in one confident swift motion and spins the plate a quarter turn, steam rising through dramatic side light, fast confident real time, close-up tracking the hand with whip-pan on the spin. SCENE 10 (13.5-15s): Final hero shot, finished dish center frame under a single overhead spotlight, steam rising in elegant curls, background fading to darkness, chef's silhouette stepping back with satisfaction, calm slow motion after the energy, slow push-in settling to a loop-friendly hold. Movement: continuous kinetic energy throughout, hands moving with professional speed and precision, constant speed ramping between hyper-fast real time and crisp slow motion for rhythm, ingredients gracefully in flight, intensity building from scene 1 to 9 then sudden calm hero ending Camera: hard whip-pans between scenes, top-down locked shots, side macro tracking, low hero angle, probe lens push-in, orbiting pour shot, close-up hand tracking, slow push-in finale, all cuts punchy and landing on beat Effects: warm flame glow, backlit steam plumes, golden oil bubbles in extreme macro, salt crystals in overhead light shafts, glossy sauce reflections, shallow depth of field, natural film grain, dark moody kitchen atmosphere, no text no watermark.

Cooking meets cinematic AI. This stunning commercial was created with Seedance 2.0 in Lart AI Delivering realistic motion, rich food details, and premium visuals that look like a real production. Create yours here 👇 Prompt: THE FLAME CHEF - 15 second high-energy cinematic cooking film, 10 rapid scenes, fast rhythmic pacing, whip-pan and speed-ramp transitions between every scene, kinetic kitchen artistry from fresh ingredients to final plated dish. Shot on ARRI Alexa 35, 35mm lens, natural film grain, rich warm color grade with deep shadows and golden highlights, professional food cinematography, photorealistic, not CGI. Dark moody restaurant kitchen, dramatic overhead lighting, steam and warm glow. SCENE 1 (0-1.5s): Chef's hand places a cast iron pan onto a glowing gas burner with confident energy, blue flame rising around the edges, quick real time then micro slow motion on the flame glow, hard whip-pan into locked close-up. SCENE 2 (1.5-3s): Rapid skilled vegetable prep, knife rocking smoothly through fresh herbs and bell peppers in rhythmic motion, hyper-fast real time with hands in controlled motion, one pepper slice spinning in brief slow motion, top-down locked shot. SCENE 3 (3-4.5s): Butter cube tossed gracefully through the air landing in the warm pan, melting instantly into golden foam and swirl, slow motion flight with speed ramp to real time on the sizzle, side macro tracking the arc. SCENE 4 (4.5-6s): Chef flips the pan, vegetables rising upward in a golden arc, warm flame glow beneath, tiny seasoning embers drifting, speed ramp from real time flip into dramatic slow motion at the peak of the toss, low hero angle. SCENE 5 (6-7.5s): Extreme macro, garlic and chili meeting hot oil, lively golden bubbles, steam rising in a soft backlit plume, 120fps slow motion with every bubble crisp, probe lens push-in through the steam. SCENE 6 (7.5-9s): Chef seasoning from height with flowing hand movement, salt crystals raining down in slow motion through a shaft of overhead light catching like snow, slow motion rain against fast hand movement, side close-up with shallow focus on the crystals. SCENE 7 (9-10.5s): Sauce poured from a steel pan in a glossy ribbon coating the dish in one continuous silky wave, steam curling, silky hypnotic slow motion, orbiting macro around the pour. SCENE 8 (10.5-12s): Fresh herbs dropped from above, leaves tumbling in slow motion landing perfectly on the glistening dish, tiny sparkle of sauce, slow motion fall with real time landing, top-down locked shot. SCENE 9 (12-13.5s): Chef wipes the plate rim in one confident swift motion and spins the plate a quarter turn, steam rising through dramatic side light, fast confident real time, close-up tracking the hand with whip-pan on the spin. SCENE 10 (13.5-15s): Final hero shot, finished dish center frame under a single overhead spotlight, steam rising in elegant curls, background fading to darkness, chef's silhouette stepping back with satisfaction, calm slow motion after the energy, slow push-in settling to a loop-friendly hold. Movement: continuous kinetic energy throughout, hands moving with professional speed and precision, constant speed ramping between hyper-fast real time and crisp slow motion for rhythm, ingredients gracefully in flight, intensity building from scene 1 to 9 then sudden calm hero ending Camera: hard whip-pans between scenes, top-down locked shots, side macro tracking, low hero angle, probe lens push-in, orbiting pour shot, close-up hand tracking, slow push-in finale, all cuts punchy and landing on beat Effects: warm flame glow, backlit steam plumes, golden oil bubbles in extreme macro, salt crystals in overhead light shafts, glossy sauce reflections, shallow depth of field, natural film grain, dark moody kitchen atmosphere, no text no watermark.

Zar⭕on

32,126 просмотров • 1 месяц назад

The Axis was right, Israel has taken everything Syria gained in 1973. Israel is 20km from Damascus and has the high ground with all the water in mount hermon. Damascus has fallen. Syria has no air defence as you admit, and Israel bombed defence ministry and presidential palace of damascus, they can kill Jolani any time they want to which they don't. The level of cope you have is out of control. You are an idiot of the highest order and your "revolutions" was a chimp out of traitors and terrorists.

The Axis was right, Israel has taken everything Syria gained in 1973. Israel is 20km from Damascus and has the high ground with all the water in mount hermon. Damascus has fallen. Syria has no air defence as you admit, and Israel bombed defence ministry and presidential palace of damascus, they can kill Jolani any time they want to which they don't. The level of cope you have is out of control. You are an idiot of the highest order and your "revolutions" was a chimp out of traitors and terrorists.

Syrian Girl

39,119 просмотров • 4 месяцев назад

🚨 BREAKING: Scientists just proved something bigger than computing. Information can be controlled… inside the nucleus of an atom. Not circuits. Not materials. Pure structure. Read that again. We’re no longer pushing electrons around… we’re shaping the state of reality itself. And it gets wild: Nuclear spins hold information longer… because they barely interact with the world. That means Stability Precision Control at the deepest level But the real shift is this: Technology isn’t separate from physics anymore… it is physics. So the real question is If information is built into reality… are we discovering computation, not inventing it? Follow me I track this shift in real time.

🚨 BREAKING: Scientists just proved something bigger than computing. Information can be controlled… inside the nucleus of an atom. Not circuits. Not materials. Pure structure. Read that again. We’re no longer pushing electrons around… we’re shaping the state of reality itself. And it gets wild: Nuclear spins hold information longer… because they barely interact with the world. That means Stability Precision Control at the deepest level But the real shift is this: Technology isn’t separate from physics anymore… it is physics. So the real question is If information is built into reality… are we discovering computation, not inventing it? Follow me I track this shift in real time.

TheNewPhysics

26,472 просмотров • 4 месяцев назад

We've just given away 100 Mythic Seed spots to our Luma's Call Testers 🎁 EVERY single tester who tested our game & filled our survey correctly just got a spot on our Mythic Seed Allowlist🌱 Those that help you with NO expectation of reward, simply because they believe in what you are doing, are the people you need to bring closest to your community. Real ones deserve real rewards.🤝 More info in our Discord, come check if you qualified now, link in bio.

We've just given away 100 Mythic Seed spots to our Luma's Call Testers 🎁 EVERY single tester who tested our game & filled our survey correctly just got a spot on our Mythic Seed Allowlist🌱 Those that help you with NO expectation of reward, simply because they believe in what you are doing, are the people you need to bring closest to your community. Real ones deserve real rewards.🤝 More info in our Discord, come check if you qualified now, link in bio.

Youmio

30,415 просмотров • 1 год назад

Weather trading bots making thousands $ on Polymarket by simple arbitrage. > Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date > If they see undervalued temperature bucket (<0.15¢), they buy it and flip for profit. Start testing with small sum $2-5 to calibrate your bot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Check out this example of a bot account raking in over $65k profit from automated weather trades on Polymarket

Weather trading bots making thousands $ on Polymarket by simple arbitrage. > Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date > If they see undervalued temperature bucket (<0.15¢), they buy it and flip for profit. Start testing with small sum $2-5 to calibrate your bot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Check out this example of a bot account raking in over $65k profit from automated weather trades on Polymarket

Aleiah

72,954 просмотров • 6 месяцев назад

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

Nexlow

85,394 просмотров • 1 месяц назад

Rejoice. Just following up with another quick W in Codex You can now configure your reasoning level in plan mode separately directly from your config file. This is huge for Plus users who want to plan with high or xhigh reasoning levels, and then switch over to medium reasoning for implementation, without needing the slash command. This is a great way to save your usage limits, and now it happens automatically. Even if you're on Pro, this should make you very happy. Prior to this, it was switching you automatically to medium every time you planned, which was pretty annoying. Place this near the top of your config file: plan_mode_reasoning = "high" (or xhigh) 0.150.0 is a massive quality of life update. They're clearly listening. This time I am shouting out Charlie. 🙏

Rejoice. Just following up with another quick W in Codex You can now configure your reasoning level in plan mode separately directly from your config file. This is huge for Plus users who want to plan with high or xhigh reasoning levels, and then switch over to medium reasoning for implementation, without needing the slash command. This is a great way to save your usage limits, and now it happens automatically. Even if you're on Pro, this should make you very happy. Prior to this, it was switching you automatically to medium every time you planned, which was pretty annoying. Place this near the top of your config file: plan_mode_reasoning = "high" (or xhigh) 0.150.0 is a massive quality of life update. They're clearly listening. This time I am shouting out Charlie. 🙏

am.will

25,907 просмотров • 6 месяцев назад

🎮 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲 𝟐𝟎𝟐𝟓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐔𝐩𝐝𝐚𝐭𝐞 🚨 Big updates across multiple areas of Varsity this month! • Coach Schemes in Dynasty Mode – Every coach now has a unique scheme and playstyle, influencing how your team plays. Do you stick with your staff and try new strategies, or hire a coach who specializes in your preferred system? • Audio & Settings Enhancements – A custom Varsity marching band drumline is being composed to add more energy to the game. Plus, menus now have sound effects, and new resolution options (16:9 and 16:10 ultrawide) have been added. • 3D Player & Stadium Models – The new player models are fully integrated, showcasing enhanced customization and animations. Pro-style stadiums for playoffs and championships are also in development! • Motion Capture Upgrades – Defensive back (DB) movements have been refined using motion capture for better realism. We’ve also improved base locomotion (running, turning, and movement) and are hiring a full-time AAA animation specialist. This month was all about refining core gameplay features and bringing more realism to Varsity. Stay tuned for more updates as we keep pushing towards launch! Support us on Patreon for Steam Pre-Alpha PlayTest access, and don’t forget to wish list on Steam! #Varsity #HSFootballVideoGame #DynastyMode #FootballGaming #HighSchoolFootball #CoachSchemes #3DModels #MotionCapture

🎮 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲 𝟐𝟎𝟐𝟓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐔𝐩𝐝𝐚𝐭𝐞 🚨 Big updates across multiple areas of Varsity this month! • Coach Schemes in Dynasty Mode – Every coach now has a unique scheme and playstyle, influencing how your team plays. Do you stick with your staff and try new strategies, or hire a coach who specializes in your preferred system? • Audio & Settings Enhancements – A custom Varsity marching band drumline is being composed to add more energy to the game. Plus, menus now have sound effects, and new resolution options (16:9 and 16:10 ultrawide) have been added. • 3D Player & Stadium Models – The new player models are fully integrated, showcasing enhanced customization and animations. Pro-style stadiums for playoffs and championships are also in development! • Motion Capture Upgrades – Defensive back (DB) movements have been refined using motion capture for better realism. We’ve also improved base locomotion (running, turning, and movement) and are hiring a full-time AAA animation specialist. This month was all about refining core gameplay features and bringing more realism to Varsity. Stay tuned for more updates as we keep pushing towards launch! Support us on Patreon for Steam Pre-Alpha PlayTest access, and don’t forget to wish list on Steam! #Varsity #HSFootballVideoGame #DynastyMode #FootballGaming #HighSchoolFootball #CoachSchemes #3DModels #MotionCapture

Varsity - High School Football Video Game

99,319 просмотров • 1 год назад

🎮 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟓 𝐃𝐞𝐯 𝐔𝐩𝐝𝐚𝐭𝐞 🎮 Motion Capture & Animation We’ve added a full-time animator to the team (welcome, Brett!) which means faster motion capture and smoother animations. Gameplay footage is coming sooner than expected. Dynasty Mode: Team Branding Team branding is now in the game. Choose a preset with mascot and color schemes—or hire a designer to create something custom… then mess it all up with hot pink and neon green if you must. Dynasty Mode: Awards & Schemes Players and coaches can now earn seasonal awards, including a new two-way player of the year. Plus, coaching schemes now impact sim results—run an Air Raid and your QB better be ready. Playtest #7 Incoming New mini camp QB mode, multiple dynasty seasons, playoffs, awards, and coaching schemes all part of the next test. Signups: April 1–30 | Invites: May 2 We’re committed to making Varsity the most realistic high school football experience. Support us on Patreon for Steam Pre-Alpha PlayTest access, and don’t forget to wishlist on Steam! #Varsity #HSFootballVideoGame #PlayStation #Xbox #DynastyMode #FootballVideoGames #HighSchoolFootball #PlayerCustomization

🎮 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟓 𝐃𝐞𝐯 𝐔𝐩𝐝𝐚𝐭𝐞 🎮 Motion Capture & Animation We’ve added a full-time animator to the team (welcome, Brett!) which means faster motion capture and smoother animations. Gameplay footage is coming sooner than expected. Dynasty Mode: Team Branding Team branding is now in the game. Choose a preset with mascot and color schemes—or hire a designer to create something custom… then mess it all up with hot pink and neon green if you must. Dynasty Mode: Awards & Schemes Players and coaches can now earn seasonal awards, including a new two-way player of the year. Plus, coaching schemes now impact sim results—run an Air Raid and your QB better be ready. Playtest #7 Incoming New mini camp QB mode, multiple dynasty seasons, playoffs, awards, and coaching schemes all part of the next test. Signups: April 1–30 | Invites: May 2 We’re committed to making Varsity the most realistic high school football experience. Support us on Patreon for Steam Pre-Alpha PlayTest access, and don’t forget to wishlist on Steam! #Varsity #HSFootballVideoGame #PlayStation #Xbox #DynastyMode #FootballVideoGames #HighSchoolFootball #PlayerCustomization

Varsity - High School Football Video Game

10,501 просмотров • 1 год назад

Trained on zero real-world data. Learned to walk, pick up boxes, and follow multi-step instructions... in the REAL world. ( 📌 Paper below) Researchers from Amazon FAR, Berkeley, Stanford, and CMU scanned real rooms with an iPhone, rebuilt them as 3D Gaussian Splatting scenes, then generated 48,000 synthetic trajectories of a Unitree G1 walking, grasping, and placing objects inside those virtual replicas. They rendered the robot's first-person camera view from each run and paired it with the matching language instruction and motion data. That's the dataset every humanoid team needs and nobody has: synced egocentric video + language + kinematics, at scale. Instead of collecting it in the real world, they manufactured it. They trained a vision-language-kinematics policy on that synthetic data alone, then deployed it on the physical G1 across five task types: navigation to a named object, lifting boxes of three different sizes with no per-size tuning, chained multi-step tasks, robustness to mid-task layout changes and flickering lights, and multi-minute long-horizon runs. No real-world fine-tuning at any point. Real-world interaction data has been the hard limit on humanoid learning... slow, expensive, and small. If scanning a room once and synthesizing thousands of labeled interactions holds up as a general recipe, that limit moves. Data stops being the bottleneck robotics teams have to solve for. 📌 Paper: Project: ——- Weekly robotics and AI insights. Subscribe free:

Trained on zero real-world data. Learned to walk, pick up boxes, and follow multi-step instructions... in the REAL world. ( 📌 Paper below) Researchers from Amazon FAR, Berkeley, Stanford, and CMU scanned real rooms with an iPhone, rebuilt them as 3D Gaussian Splatting scenes, then generated 48,000 synthetic trajectories of a Unitree G1 walking, grasping, and placing objects inside those virtual replicas. They rendered the robot's first-person camera view from each run and paired it with the matching language instruction and motion data. That's the dataset every humanoid team needs and nobody has: synced egocentric video + language + kinematics, at scale. Instead of collecting it in the real world, they manufactured it. They trained a vision-language-kinematics policy on that synthetic data alone, then deployed it on the physical G1 across five task types: navigation to a named object, lifting boxes of three different sizes with no per-size tuning, chained multi-step tasks, robustness to mid-task layout changes and flickering lights, and multi-minute long-horizon runs. No real-world fine-tuning at any point. Real-world interaction data has been the hard limit on humanoid learning... slow, expensive, and small. If scanning a room once and synthesizing thousands of labeled interactions holds up as a general recipe, that limit moves. Data stops being the bottleneck robotics teams have to solve for. 📌 Paper: Project: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

12,950 просмотров • 1 месяц назад

Apple spent 7 years and $3,500 per unit building Vision Pro, this guy did something better with a webcam in his bedroom. And no, this isn't a render, it's running live on his laptop right now with a webcam pointed at his hands. The webcam tracks 21 points on each of his hands in real time, every fingertip, every knuckle, every joint, mapped to a 3D skeleton at 60 frames per second. A piece of digital silk is rigged to that skeleton, so when he opens his palm the fabric drapes across his fingers, when he closes his hand it crumples in his fist, when he tilts his wrist the cloth slides off and folds with real physics, light reflecting off it like actual material. He can grab it, stretch it, throw it, catch it, all with his bare hands and zero hardware on his body. No headset, no gloves, no $3,500 face computer, no 600 gram brick on his skull, no 2 hour battery, no Apple ID, no App Store. Just a webcam, TouchDesigner and a kid who saw the Vision Pro keynote and thought, I can do that for free. Apple has 3,000 engineers, $200 billion in cash and 7 years of development time, they built a face computer most people will never own. This guy has a laptop, a webcam and a weekend, he built a future most people can actually use. The mixed reality industry just got embarrassed by a guy in a white t-shirt.

Apple spent 7 years and $3,500 per unit building Vision Pro, this guy did something better with a webcam in his bedroom. And no, this isn't a render, it's running live on his laptop right now with a webcam pointed at his hands. The webcam tracks 21 points on each of his hands in real time, every fingertip, every knuckle, every joint, mapped to a 3D skeleton at 60 frames per second. A piece of digital silk is rigged to that skeleton, so when he opens his palm the fabric drapes across his fingers, when he closes his hand it crumples in his fist, when he tilts his wrist the cloth slides off and folds with real physics, light reflecting off it like actual material. He can grab it, stretch it, throw it, catch it, all with his bare hands and zero hardware on his body. No headset, no gloves, no $3,500 face computer, no 600 gram brick on his skull, no 2 hour battery, no Apple ID, no App Store. Just a webcam, TouchDesigner and a kid who saw the Vision Pro keynote and thought, I can do that for free. Apple has 3,000 engineers, $200 billion in cash and 7 years of development time, they built a face computer most people will never own. This guy has a laptop, a webcam and a weekend, he built a future most people can actually use. The mixed reality industry just got embarrassed by a guy in a white t-shirt.

Defileo🔮

3,018,058 просмотров • 3 месяцев назад

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Robinhood

24,543 просмотров • 1 год назад

Seriously… Watch closely… this is the moment life announces itself. From Non-life to Life. There is no switch flipped by human hands… no dramatic command… only silent divine coordination unfolding beneath the surface. Thousands of individual cells awaken gradually… communicating… aligning… building electrical harmony until suddenly… everything synchronizes. And then… the first heartbeat. Not chaos. Not accident. Order emerging from complexity… precision born from microscopic cooperation. The heart doesn’t simply start. It becomes. Every beat after that first one is a continuation of a miracle already in motion… a reminder that life begins with unity, rhythm, and purpose written into biology itself. Pause and absorb what you’re seeing… because this is the architecture of life revealing itself in real time. God is good. #SilentMajoritySpeaks #AStoneGroove

Seriously… Watch closely… this is the moment life announces itself. From Non-life to Life. There is no switch flipped by human hands… no dramatic command… only silent divine coordination unfolding beneath the surface. Thousands of individual cells awaken gradually… communicating… aligning… building electrical harmony until suddenly… everything synchronizes. And then… the first heartbeat. Not chaos. Not accident. Order emerging from complexity… precision born from microscopic cooperation. The heart doesn’t simply start. It becomes. Every beat after that first one is a continuation of a miracle already in motion… a reminder that life begins with unity, rhythm, and purpose written into biology itself. Pause and absorb what you’re seeing… because this is the architecture of life revealing itself in real time. God is good. #SilentMajoritySpeaks #AStoneGroove

A Gene Robinson

60,848 просмотров • 6 месяцев назад