Infrastructure for Physical AI 🦾

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More friends, more Vader Points ⚡ Share your link. Every successful referral pays off 🦾
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GM 🦾 New week, new tasks. Best week to build physical AI.
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More petting tasks added 🐾 Season 7 is still ongoing. More simple actions. More useful data.
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Reward AI trains OM-1 with human demos. A wearable records motion, touch, and images. Egocentric data remains key for robot learning. Now it’s being paired with UMI-style systems. The same model controls arms and humanoids 🦾
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids. - learned directly from human manipulation data - no teleop/robot data - close to human-level dexterity and efficiency - multi-robot collab
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Just a quick reminder: Season 7 is still live 💰🦾 Complete tasks. Contribute data.
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Robot datasets can become outdated quickly. Packaging, appliances and workplace tools keep changing. A model trained on old products may miss new interfaces. Egocentric data can refresh that real-world experience. Robot learning may need regular updates, like software 🦾
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Skild AI showed how fast new skills can be learned. That makes data diversity the next bottleneck. Imagine a library of egocentric robot experience. Laundry. Stocking. Cooking. One growing dataset for learning new skills.
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:
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Not every first-person video is useful robot data. Hands must remain visible throughout the entire task. The recording must show both the action and its result. Missing steps can make the whole clip less useful 🦾
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Robots need to anticipate the next step of a task. Egocentric video records actions in their natural order. Opening a fridge is followed by looking and reaching. Picking up a bottle may be followed by pouring. These patterns are semantically important for long tasks 🦾
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Today we saw posts regarding the Vader dev team launching a new token on Robinhood Chain. These claims are totally baseless, the Vader dev team is fully committed to $VADER, did not launch a new token and doesn't plan to launch a new one. Stay safe out there.
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Regarding the incident from 2 days ago, Basescan (Etherscan) mistakenly tagged the wrong wallet address as the $VADER deployer wallet. Since then, they have removed the tag and corrected their mistake. basescan.org/address/0xCBcFb…
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Regarding the incident from 2 days ago, Basescan (Etherscan) mistakenly tagged the wrong wallet address as the $VADER deployer wallet. Since then, they have removed the tag and corrected their mistake. basescan.org/address/0xCBcFb…
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Bring more contributors into Vader  Invite friends, earn Vader Points ⚡ Share your referral link and earn more rewards with every successful referral 🦾
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Vader retweeted
It’s true btw. Basescan by @etherscan set wrong tag for the dev wallet: 0xCBcFb5360f1bf7D55d9E529E298ecD439Fd353FC This wallet *bonded* VADER during virtuals v1 season. Long story short, in v1, new tokens were created for bonded launches. So you all were farmed by some virtuals OG trencher. Kek.
Today we saw posts regarding the Vader dev team launching a new token on Robinhood Chain. These claims are totally baseless, the Vader dev team is fully committed to $VADER, did not launch a new token and doesn't plan to launch a new one. Stay safe out there.
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Egocentric data needs variety, but not random tasks. EgoPlay gives each contributor a clearly defined task. The setting changes, while the task stays consistent. That makes every clip easier to compare and validate. The dataset gains variety without losing structure 🦾
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Egocentric video can be collected in several ways. Specialized headsets and camera glasses are one option. A head-mounted phone can capture the same viewpoint. Smartphones cost less and are already widely available. This lets thousands of people collect data at once 🦾
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Bring more contributors into Vader Invite friends, earn Vader Points ⚡ Share your referral link and earn more rewards with every successful referral 🦾
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Fresh kitchen tasks are live 🍳 Season 7 is still live. More ways to contribute, more ways to earn $VADER 🦾
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