DoorDash Utilizes Gig Workers to Gather Data for AI-Powered Household Robots
DoorDash, a well-known food delivery service, is expanding its operations into the realm of artificial intelligence by collecting video data of household chores. This initiative involves gig workers who can earn up to $25 per hour by recording themselves performing tasks such as folding laundry and washing dishes. The collected videos are intended to train AI models, enabling robots to perform these chores autonomously. This effort is part of a broader trend among tech companies and researchers who are seeking to develop robots capable of handling household tasks. The data collection is based on the concept of scaling laws, which suggest that AI models improve with more data. However, unlike text or image data, there is no readily available repository for robot training data, making this initiative a novel approach to gathering the necessary information. 
