clayton
@clayhaight
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founding eng @sundayrobotics
Joined December 2014
when you collect diverse enough data, generalization is the default
Traditional robots are like player pianos—they only play notes they’re given. Memo is more like a Master Chef who has watched hundreds of cooks in every type of kitchen. Our diverse dataset provides Memo with an “intuition” for grasping entirely new objects. This is a small
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most of the time when I look up how to do something on iOS/macOS the answer is no
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Over the last year this cost dropped ~30,000x
Gemini 3 Flash Preview (High) on ARC-AGI Semi-Private Eval - ARC-AGI-1: 84.7%, $0.17/task - ARC-AGI-2: 33.6%, $0.23/task Competitive performance at a substantially lower cost than other frontier models
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After dozens of live demos over the past few weeks, we’re tired of the old, and ready for new challenges. Tell us what Memo should learn next. We’ll train Memo on the best tasks, and invite a handful of you to see it in-person
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robot fashion will be a billion dollar industry
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this company makes air conditioners by the way
I know six-armed humanoids could be very efficient, but it’s still wild to see one actually built by Midea. That said, I still believe major home appliance companies will do well in the wheeled humanoid competition.
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Kyle is the only reason we still don't have clamps on our robot 🫡
1. When I first visited the house in February, I was expecting a polished demo. There was an impressively generalizable shoe organizing policy, but struggled a bit and the robot itself was hacked and held together with clamps. But I walked away incredibly blown away...
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It started with @tonyzzhao and @chichengcc in their apartment in April 2024. We moved out of our hacker house in Mountain View in February of 2025 with 10 people. Today, we have over 30 team members. Velocity of progress to a real, useful robot is everything to us. The progress
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I was unemployed and surfing in Nicaragua when Clayton slid into my DMs. He had me at “I just joined a startup.” Always check your DMs
2 years ago I was working on trying to productionize ALOHA, when Tony told me on a call he wanted to build home robots. I stopped working on it, dropped everything, and moved into a quaint house in Mountain View. Since then I've had the pleasure of working with this world class
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2 years ago I was working on trying to productionize ALOHA, when Tony told me on a call he wanted to build home robots. I stopped working on it, dropped everything, and moved into a quaint house in Mountain View. Since then I've had the pleasure of working with this world class
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It’s such a pleasure to bring Memo to life with an absolutely incredible team. The hardware team moved heaven and earth to squeeze so many capabilities into a design that’s simple yet functional
After 18 months in stealth, dozens of prototypes, millions of real-home demonstrations, and one final all-nighter, we’re thrilled for you to say hello to Memo
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🔥 launch, new episode: the @sundayrobotics founders @tonyzzhao @chichengcc on how we get to 1B autonomous robots in homes, in the next decade
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Today, we present a step-change in robotic AI @sundayrobotics. Introducing ACT-1: A frontier robot foundation model trained on zero robot data. - Ultra long-horizon tasks - Zero-shot generalization - Advanced dexterity 🧵->
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Sunday Robotics has a new way to train robots to do common household tasks. The startup plans to put its fully autonomous robots in homes next year.
wired.com
Sunday Robotics has a new way to train robots to do common household tasks. The startup plans to put its fully autonomous robots in homes next year.
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We've been quiet, but busy! I've never been more passionate about a product in my life.
After 18 months in stealth, dozens of prototypes, millions of real-home demonstrations, and one final all-nighter, we’re thrilled for you to say hello to Memo
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