Home robots are coming faster than you think, with Sunday's Tony Zhao

Household robotics are approaching an inflection point where the primary bottleneck is not AI architecture, but the availability of high-quality, diverse training data. Sunday Robotics founder Tony Zhao explains that instead of relying on full-scale robot deployment, his company utilizes over 500 contractors wearing specialized gloves to collect precise hand-movement data for household chores. This approach circumvents the "chicken and egg" dilemma of needing autonomous robots to gather training data. Unlike industrial automation, which competes with human precision in high-stakes environments, these household robots aim to provide labor arbitrage by automating repetitive daily tasks. By focusing on compliant, safe hardware that can be interrupted by users, the company prioritizes trust and accessibility. With plans to launch beta programs in homes within five years, the focus remains on leveraging human dexterity to train neural networks for real-world utility.