Robot Training Data Is Dirty, Unglamorous Work — AI Labs Are Already Paying XDOF to Do It
TechCrunch AI41 days agoBusinessPhysical AI systems need vast amounts of real-world demonstration data to approach LLM-level capability, but gathering it requires human operators physically performing tasks — work that can't be scraped from the internet. Unlike text data, robot training data demands presence, equipment, and repetitive labor. Some AI labs are already turning to paid data-collection pipelines, including XDOF, to meet this growing operational need.
This startup is betting India’s gig economy can train the world’s robots
TechCrunch AI62 days agoBusinessHuman Archive, founded by Berkeley and Stanford researchers, is using India’s gig economy to gather physical-world AI data. Workers are paid to wear camera-equipped caps and sensor devices while moving through real environments. The company is targeting the growing demand from AI and robotics labs for real-world training data needed to develop physical AI systems.