I Spent a Week Recording Myself Doing Chores for Money. Who's the Robot Now?
NOBODY TALKING: Everyone's focused on model benchmarks. Nobody is talking about who owns the data that trains humanoids—or what happens when it's your kitchen.
Why it matters
As humanoid robotics moves from labs to production, the data supply chain raises critical questions about labor, consent, privacy, and IP ownership. This article explores the societal implications of crowdsourced training data for physical AI systems.
The key facts
9 to knowHousehold task recording as primary data source for humanoid training
Personal data collection model for robotics training
Privacy and consent implications of home-based AI data collection
Labor classification questions for data providers
Ownership and compensation questions for training data
Household chore video data being collected for humanoid robot training
Workers compensated for recording daily activities
Raises questions about data ownership, privacy, and labor classification
Societal implications of using human motion as training material at scale
Go to the source
Wired Businesswired.com
Publisher excerpt: Cooking. Doing laundry. Tidying up. All your household tasks can be turned into data to train future humanoids—if you’re prepared for the consequences.