@fangpenlin A little worse than my two-year-old daughter. My wife and I made a YouTube channel for learning Cantonese during covid!! https://t.co/SoRuIefraV
Based on where I started, I never imagined I'd get to be part of the team that solved laundry! But my career path was never linear, I just followed my curiosity and went wherever felt most interesting and exciting. From translating German at the UN to co-founding a Cantonese YouTube channel, working as a PM in construction, leading a data annotation team at xAI to now working in robotics as Triage Lead at Sunday.
It was a bit intimidating at first being surrounded by world-class engineers and ML researchers. But I realized that I have a lot to contribute as well and that many of the skills I picked up along the way transfer to this new domain. You need all kinds of people in robotics to scale past demos to real-world deployment, and I'm grateful to be part of the team that will get it done!! 🦾
Laundry is our first Solve of many. Our recipe is so general that scaling data and compute gives us predictable improvements.
Unlocking one Solve accelerates the next Solve.
The same ACT-2 model is learning to vacuum, organize toys, zip clothing, and turn pants inside out.
As someone who has a basket of laundry piling up in the living room, I'm personally vested in seeing Sunday succeed! Excited to be a part of the team that brings Memo into real people's homes.