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@hannahlizzy_:

HANNAH
HANNAH
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Region: US
Sunday 20 July 2025 04:32:04 GMT
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blondbarbiewrld
Caroline Corsello :
she a rockstarrrr
2025-07-20 17:10:19
1
avvvvves
Ava :
what style are the jeans called?
2025-07-21 07:15:11
0
ateleio
Ateleio :
Stunning✨✨
2025-07-21 00:24:52
0
ambergeorges_
ambergeorges_ :
Can’t believe I missed my fav nyc influencer at Parker house, the jersey girl in me is pressed lol
2025-07-20 04:47:31
0
nyxora_fashion
𝗡𝘆𝘅𝗼𝗿𝗮 𝗳𝗮𝘀𝗵𝗶𝗼𝗻 :
✨✨TikTok Queen spotted! 👀👑 We’d love to work with you! DM us for a fun collab 💌👙👗 ✨🔥
2025-07-20 17:50:08
0
carareedsalot
Cara Margs :
EEEEE PARKER HOUSE
2025-07-20 07:11:26
0
faustosarlie.shop14
💎FAUSTO SARLIE SHOP🛍️ :
Hello beautiful souls! 🌸 We’re looking for amazing partners to represent our jewelry brand. If you’re passionate about style and luxury, let’s collaborate—DM us for your exclusive PR package! 💎💌✨ 🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸
2025-07-20 04:35:08
0
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Other Videos

🤔🤔🤔🤔🤔🤔🤔🤔 #womensday #internationalwomensday #womenintech #startuplife
🤔🤔🤔🤔🤔🤔🤔🤔 #womensday #internationalwomensday #womenintech #startuplife
He's got his priortites straight😭🙏 #hawktuah #whiplash #talktuah #breakup #fyp #milesteller #melissabenoist
He's got his priortites straight😭🙏 #hawktuah #whiplash #talktuah #breakup #fyp #milesteller #melissabenoist
‼️RATE WENDY ORTIZ TOES ‼️ #wendyortiz #evelynortiz #hawaii #fypシ #fyp #clip #shawtybae #latinostiktok #willito #ddg #clips
‼️RATE WENDY ORTIZ TOES ‼️ #wendyortiz #evelynortiz #hawaii #fypシ #fyp #clip #shawtybae #latinostiktok #willito #ddg #clips
NVIDIA is training robots using Apple Vision Pro?! NVIDIA's Project GROOT is revolutionizing how we train humanoid robots, they've developed a mind-blowing pipeline that multiplies data by 1000x or more using simulation. 1. Teleoperation with Apple Vision Pro: Using the Apple Vision Pro, human operators can control humanoid robots in real-time, providing immersive first-person control. This allows to collect demonstration data, even though it's time-consuming. 2. RoboCasa Simulation Framework: RoboCasa multiplies this demonstration data by creating diverse virtual environments. For example, a single kitchen setup can be transformed into hundreds of unique ones in simulation, varying textures, furniture, and object placements. 3. MimicGen Augmentation: MimicGen takes it further by generating new robot motion trajectories based on the initial human data. It filters out unsuccessful attempts, creating a vast dataset from limited human input. Traditionally, training robots relied on slow, expensive human data collection. Now, we can trade compute power for that time, allowing robots to learn much faster and in a wider range of situations. This approach addresses the limitations of teleoperation, which is bound by the physical constraints of time and space. By shifting to a simulation-based model, we're trading expensive human data for compute power, breaking barriers in robot training and adaptability. This method could lead to rapid advances in robot capabilities, akin to the breakthroughs we've seen with large language models. #creatorsearchinsights
NVIDIA is training robots using Apple Vision Pro?! NVIDIA's Project GROOT is revolutionizing how we train humanoid robots, they've developed a mind-blowing pipeline that multiplies data by 1000x or more using simulation. 1. Teleoperation with Apple Vision Pro: Using the Apple Vision Pro, human operators can control humanoid robots in real-time, providing immersive first-person control. This allows to collect demonstration data, even though it's time-consuming. 2. RoboCasa Simulation Framework: RoboCasa multiplies this demonstration data by creating diverse virtual environments. For example, a single kitchen setup can be transformed into hundreds of unique ones in simulation, varying textures, furniture, and object placements. 3. MimicGen Augmentation: MimicGen takes it further by generating new robot motion trajectories based on the initial human data. It filters out unsuccessful attempts, creating a vast dataset from limited human input. Traditionally, training robots relied on slow, expensive human data collection. Now, we can trade compute power for that time, allowing robots to learn much faster and in a wider range of situations. This approach addresses the limitations of teleoperation, which is bound by the physical constraints of time and space. By shifting to a simulation-based model, we're trading expensive human data for compute power, breaking barriers in robot training and adaptability. This method could lead to rapid advances in robot capabilities, akin to the breakthroughs we've seen with large language models. #creatorsearchinsights
En mi defensa llevaba prisa y tuve que subirlo rápido 🤭 #rescate #perritos #mascota #perdido #animales
En mi defensa llevaba prisa y tuve que subirlo rápido 🤭 #rescate #perritos #mascota #perdido #animales
эти котята так мило смущаются😊🥰🤭 тгк: Твоя заряжка
эти котята так мило смущаются😊🥰🤭 тгк: Твоя заряжка

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