googooli

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googooli

googooli

@iamgoogooli

New York Katılım Nisan 2023
90 Takip Edilen85 Takipçiler
bita
bita@karimi90519920·
Robotic Arms That Restore Freedom Look at this person smiling while drinking with their robotic arm. A simple daily moment made possible through technology. This drawing represents the future we’re building with @PrismaXai smart, intuitive robotic arms that bring back independence, confidence, and joy in everyday life. From holding a glass to embracing new possibilities, the future of prosthetics is deeply human. 🦾 (You will see proof of work in the next post.) #Robotics #PrismaXai @vivianrobotics @MaxC16134 @shayebackus
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googooli
googooli@iamgoogooli·
Travel to a different world with @PrismaXai and enjoy.
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MASTER
MASTER@0xMASTER83·
One of the most interesting things about @RoboX_to is how it collects robotics training data from real people instead of controlled lab environments Simple first person videos of everyday tasks become high quality datasets for training the next generation of embodied AI
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Violetorg
Violetorg@Violetorg1·
Gm gm eveyone Happy sunday see you next week
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Jimboo
Jimboo@0xjimboo·
The industry loves talking about bigger models but rarely admits most current data is too narrow or synthetic to teach real physics @PrismaXai prioritizes egocentric task focused data captured from actual human controlled robots in varied environments This approach gives models the grounded understanding they need instead of patterns from low resolution or unrealistic footage Human operators inside prisma supply the diversity and quality that synthetic data still cannot match at scale Over time this creates robots that generalize instead of overfitting to lab conditions
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KiashaA♥︎base.eth
KiashaA♥︎base.eth@KiashaABnb·
gprisma♥︎ 1/ A robot doesn't become capable by seeing more data. It becomes capable by learning from the right data. Behind every reliable action is a chain of human decisions: what to keep, what to reject, and what is worth learning from. 🦾 @PrismaXai
KiashaA♥︎base.eth@KiashaABnb

gprisma♥︎ 1/ 🃏 Playing poker against AI made me realize something. The hardest part isn't choosing the next move. It's knowing the model learned from the right ones. A smart decision is only as good as what taught it. 🦾 @PrismaXai

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googooli
googooli@iamgoogooli·
@0xmorsa With Prismax, anything is possible.
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Morsa
Morsa@0xmorsa·
better robots start with better data, but that part is easier to say than to build a robot clip is not automatically useful just because something moved on screen PrismaX looks at the full run: overhead view, wrist cameras, joint angles, URDF match, prompt alignment, lighting, smooth trajectory, recovery and whether the task was actually completed in a way a model can learn from thats why human data quality matters so much for Physical AI. software can check the baseline, but people still judge if the demonstration is training grade or just noise with nice motion Simple but important
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Spiroo
Spiroo@0xspiroo·
GM gm eveyone Happy sunday funday
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Jimboo
Jimboo@0xjimboo·
GM GM eveyone Happy weekend
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googooli
googooli@iamgoogooli·
From an ancient castle to the sky… ✨ One key. One dragon. One impossible adventure. With @PrismaXai , anything is possible.
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googooli
googooli@iamgoogooli·
From a locked castle to the sky… One team. One dragon. One impossible escape. With @RoboX_to , anything is possible.
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Tina(❖,❖)
Tina(❖,❖)@tina_mm50·
The future belongs to innovation! The PrismaX network is pushing boundaries by combining decentralized AI and next-gen robotics. ​Our smart AI mascot is officially in the lab, ready to change the game. Big updates are coming soon! @PrismaXai
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Violet sky
Violet sky@Violet_crypto_·
The AI industry borrowed its intuition from language models Collect more data Train a bigger model Repeat That recipe worked because text already came with meaning Robotics is different A robot watching someone fold a shirt does not automatically understand where force was applied Why one grasp failed Why another succeeded What part of the motion actually mattered The internet is already full of physical behavior The missing piece is not more behavior It is a system that decides which behavior deserves to become machine knowledge That is why I think people keep misunderstanding @PrismaXai They see another robotics data project I see a company asking a much stranger question Can judgment itself become infrastructure If the answer is yes the companies collecting the most data may not be the ones defining the next generation of Physical AI
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CreativeCat
CreativeCat@creativecat3432·
Looking at the city... Not to admire it, but to understand it. Because every street, every object, and every interaction is another chance for robots to learn from the real world. That's how Physical AI moves forward. @PrismaXai #gprisma
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Alp
Alp@Alpp2026·
There's no messy, chaotic data here; these Validators act like a golden filter. They make the data so clear and precise that Vivian Robotics robots no longer have any errors in understanding the environment. @PrismaXai @MaxC16134 @vivianrobotics @AmberShiroo
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googooli
googooli@iamgoogooli·
From a dark spell to a great rescue;@RoboX_to proved that the future belongs to those who innovate.
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Spiroo
Spiroo@0xspiroo·
The First 100 Validators campaign is a clever filter @PrismaXai is not only rewarding activity it is trying to surface people who can judge robotics data with consistency that matters because future Physical AI systems will need more than contributors they will need trusted evaluators
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Violetorg
Violetorg@Violetorg1·
The more diverse the data the more robust the model @RoboX_to encourages recording across different lighting conditions and environments Do you think robots need to learn from winter kitchens and summer backyards too
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