Validators are like checking homework before it's submitted. They help identify errors early, ensuring the robot works correctly, doesn't break, or performs dangerous actions.
@PrismaXai
The First 100 begins now.
Verify Quality is live on PrismaX. For the first time, anyone can score the robot training data that models learn from, earn points, and compete to become one of The First 100.
Better data. Better models. The standard starts with you.
The First 100 begins now.
Verify Quality is live on PrismaX. For the first time, anyone can score the robot training data that models learn from, earn points, and compete to become one of The First 100.
Better data. Better models. The standard starts with you.
📈Rewards
Participants can qualify for:
🔸 $2,500 USDC prize pool
🔸 Up to 35,000 Prisma Points
🔸 Welcome bonus points for eligible users
🔸 Chance to be among the First 100 Founding Validators
What matters here isn't speed or quantity, but accuracy.
The closer your score is to the overall community consensus, the higher your result.
Because in Physical AI, everything is built on simple logic:
Better validation ➖ cleaner data ➖ smarter robots
Many believe that the future of robotics is determined by more powerful hardware and increasingly large AI models.However, in its new paper, @PrismaX highlights a less obvious but no less important factor: data quality.
💹Companies that can establish rigorous quality standards, ensure a diverse range of scenarios, and create large-scale real-world data sets will gain a significant advantage in developing the next generation of Physical AI.