Crypto enthusiast & content creator from Belarus π§πΎ
Breaking down DeFi projects & Physical AI
Teleoperator @PrismaXai
Building in public β’ No hype
Big-time football continues to delight us on XO!
The project has launched markets for new World Cup matches. Matches will be added daily. More top-tier football awaits with @xomarket
GAME DAY 14, and the groups are closing out!
π¨π Switzerland v π¨π¦ Canada
π§π¦ Bosnia and Herzegovina v πΆπ¦ Qatar
π΄σ §σ ’σ ³σ £σ ΄σ Ώ Scotland v π§π· Brazil
π²π¦ Morocco v ππΉ Haiti
π¨πΏ Czechia v π²π½ Mexico
πΏπ¦ South Africa v π°π· South Korea
The Scots will be feeling the pressure tonight, only 9% of you think they have a chance!
Every game, fee-free on XO Market. Link below π
When we see yet another video of a robot folding a T-shirt or rearranging boxes, few people stop to think about how the robot even figured out how to move.
The secret is in the data. And herein lies the main problem with modern physical AI. Robots learn from demonstrations, like children. But if we feed a model a video where the camera is shaky, the camera angles are out of sync, and the robot itself moves awkwardly, we get a stupid and dangerous machine.
This is precisely why data validation is now becoming increasingly important.
Engineers can't manually review millions of hours of recordings. A distributed human intelligence is needed. A validator is a person who watches the robot's actions from multiple cameras simultaneously and makes a verdict.
This is a deep analysis, not just watching a robot put laundry in a basket.
And now @PrismaXai has this capability, which is a major step forward in analyzing robot actions and improving their learning.
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.