#ValidatorWatchWednesday - Twitter Hashtag

18 days ago

Here are 3 tips to become a better Validator: 1/ ⏪You can go back and change score if you changed your mind 2/⏱️Watch video till the end - arm could drop or tip something over 3/📷Always watch all three cameras - they could be out of sync #ValidatorWatchWednesday

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Dungenmaster @Dungenmaster8

2 months ago

🧵Validation tips for PrismaX 1/7 Good validation isn’t about giving the highest score. It’s about accurately judging what actually happened in the robot episode. If you want to become a better validator, here are a few things I always keep in mind 👇 #ValidatorWatchWednesday

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Dungenmaster @Dungenmaster8

3 months ago

🧵 Validator Watch Wednesday 1/8 Quality matters more than quantity. When it comes to robot training, collecting massive amounts of data isn't enough. The real challenge is making sure the data is actually worth learning from. Here’s why 👇 #ValidatorWatchWednesday

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Dungenmaster @Dungenmaster8

3 months ago

What if you could help improve robot training data — and get rewarded for doing it? That’s exactly what PrismaX Verify Quality is built around. Validate data. Earn points. Climb the leaderboard. 🦾 @PrismaXai ⁠#ValidatorWatchWednesday

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DZ @ZygDen

3 months ago

What is Verify Quality and Why is it Important? #ValidatorWatchWednesday Verify Quality is the level of human interaction with AI physical data: validators review episodes of the robot performing tasks and assess whether each demonstration is suitable for the training dataset. The goal isn't speed it's an objective, consistent, evidence-based assessment to ensure that only "training-quality" episodes are submitted to VLA Foundry. Workflow (Amplifier/Innovator) Login to VLA Foundry → Open Verify Quality. Environment Selection → Task → Dataset → Episode. View the entire episode (from all cameras), then evaluate the execution. First, a pass/fail assessment is made based on key parameters: camera synchronization, arm/end-effector visibility, task completion, and video stream clarity. Then, a quality assessment is made: smoothness of movement, operator control, pacing, final state, and the presence of useful variations in the episode. Submission; Once submitted, the review is blocked. Why "Accuracy is a real advantage" The results are aggregated into a consensus; if you rate a video as well as the majority, you'll earn Prisma Points. Thorough, fact-based reviews directly improve the VLA data processing pipeline and, therefore, the quality of future robot control policies. Webside: https://t.co/nxgjZxoZHM Disrord: https://t.co/Sp6XnvWyNi X: @PrismaXai

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Dungenmaster @Dungenmaster8

4 months ago

Every validation in @PrismaXai is more than just a review. You're helping separate high-quality robotics data from everything else—and that directly impacts how future AI models learn. Here are a few tips that can help you become a better validator.👇 #ValidatorWatchWednesday

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Lemur Studios @blipped258

4 months ago

New week, new Wednesday, The FIrst 100's first month ends July 31st, and this will be the last #ValidatorWatchWednesday before we get to know the elite list of Validators in the @prismaxai ecosystem But as we all keep growing, tips will continue to be shared, here's this week's!

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Lemur Studios @blipped258

4 months ago

Some mysteries of Verify Quality still surround the community, here's another Wednesday, and I'm back with yet again #ValidatorWatchWednesday video! This week we shall know about the sudden pop-up validators get after verifying several episodes of a certain task🤖

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Lemur Studios @blipped258

4 months ago

Hey fam, as y'all know Verify Quality aka VLA Foundry has been one of @PrismaXai's recent big things Here's a tip for the validators out there who are consistently filtering good data to train models that 𝘮𝘢𝘵𝘵𝘦𝘳 #validatorwatchwednesday

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