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Tony Zhao
@tonyzzhao
Co-founder and CEO @sundayrobotics. Stanford PhD dropout, ex Deepmind, Tesla, GoogleX
1K Following    148.7K Followers
Love my friends at figure, but failing half the time is not “doing real useful work.” See the 237/420 success rate below taken from the blog. Doing useful work = generalization + reliability.
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The holy grail for robotics is being able to generalize: doing work in unseen places We rented 30 homes in the Bay Area and are doing tasks without any new training
I'm excited to release mjbatch, a simple tool that lets you step thousands of MuJoCo simulations in parallel on your CPU, all from the comfort of Python! To show how far this primitive can take you, I built some fun, self-contained examples with it 👇
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Muse can hear now - we launched Muse Voice Transcribe today! It is the first streaming audio perception model from MSL which does ASR, diarization and endpointing all in real-time. It supports hour-long audio, 20+ speakers, multilingual, seamless code-switching, and contextual biasing. We shared detailed design and what makes Muse Voice Transcribe different from other real-time voice models in our blog post. We give full control on when and how long to listen to audio back to the model. And with RL, it learns “adaptive delay” to wait longer only on a few hard words. This is one of the key contributions to achieving the new pareto frontier on speed/accuracy trade-off. Muse Voice Transcribe is available today via Meta Model API, Meta AI for Mac, and Muse Code. Please give it a try and let us know how you like it:
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BeyondMimic is published in Science Robotics and it made the Science front page. A follow-up paradigm shift that will solve the problem of humanoid whole-body control will be released soon. Stay tuned.
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Thank you for featuring @sundayrobotics in your piece! @ryajetha The team has been crushing it. Last month they previewed ACT-2. It is the first model to show that reliability gains from in-house post-training can actually transfer zero-shot to new environments. Robotics models usually look great in demos and then fall apart the second conditions change (the generalization gap). ACT-2 largely closed that gap by scaling high-quality pre-training with diverse human demonstration data. Once closed, they could hill-climb performance in the lab with confidence that those gains would hold in the wild. They hit 99.1%+ zero-shot success on laundry folding across unseen homes and garments. Memo starts shipping into homes this fall, and laundry is just task #1# cc @tonyzzhao @chichengcc
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Welcome to the team Ashley! Excited to work together.
life update: i joined @sundayrobotics and i am beaming with joy! ⭐ i fell in love with robotics when i was 13, and this week made it feel full circle. i’ve wanted an in-home robot since i was a kid, one that could help my loved ones in their day to day so we had more time for each other, and it’s beautiful to know we’re getting closer to achieving that. the future of human-robot interaction feels so bright right now. SO excited for this next chapter. thank you @tonyzzhao, @chichengcc, and especially @flooburrito for getting me here 🤍 also memo is so cute, and yes, we matched in polka dots!! 🥰
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Breaking news: things are going well. $FIG Q2 2026 results: → $370M in revenue → 48% YoY revenue growth rate, the 3rd straight quarter of accelerated growth → 136% Net Dollar Retention Rate
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Looking at the first build of the robot we’re deploying to real homes for the upcoming Beta @sundayrobotics, I feel electric with joy It’s more intuitive, more capable, higher quality, and safer. So much can be accomplished in 6 months
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We are lucky to have you Henry!! 2 years and so much done!
2 years @sundayrobotics today! kinda wild I’m still learning faster here day-to-day than I did building my own startup
Cecilia is a force of nature. So excited to be working with her! We're building out our Business Strategy & Ops team. If you want to help turn frontier robotics technology into a durable business, Cecilia's team is the one to join.
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Once in a career, a company comes along that you can't just underwrite from the outside. You have to build it. For me, that's @sundayrobotics, where I'm joining as Head of Business. Autonomous consumer robotics is a generational opportunity, but exceptionally hard to execute. You need rare strength across the full stack: research, product, distribution, and culture. Very few companies have it all - until I met @tonyzzhao and @chichengcc. I was blown away and knew within just a week that this was the team I wanted to build with. More importantly, they are incredible humans to work with🫶🏻. The kind of founders who make hard things fun :) I saw the Sunday magic in my first week: we shipped ACT-2 Preview, a research breakthrough that enables Memo to work reliably in homes it has never seen before. The timeline for home robots is shortening fast. Grateful to my incredible partners and founders at @generalcatalyst for everything that led me here. If you want to help bring Memo to every home, dm me. We are hiring 🌻!
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[hiring @sundayrobotics] i'm looking for a strategic projects lead to join my team and build 0-to-1 with me :) we're pushing to put robots in real homes, and the operational foundation behind that doesn't have a playbook. your job is to build it: take the ambiguous, ownerless problems and turn them into working systems, across data, ML, product, software, hardware, and our 1000+ memory developers. there's no playbook here. you'd be writing it as you go. if that excites you (or you know someone who'd be great), reach out or apply below 👇
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So lucky to have you since the beginning of our journey! @saranormous
@tonyzzhao 🙏🏽 the easiest first-meeting yes ever was with you and @chichengcc (+@pranavreddy) grateful to be working with the pioneers at @sundayrobotics. it has reinspired me to believe that creative research (and in this case, full-stack team and mission culture) can solve any problem
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Sarah is three things that rarely coexist in one person: intense, dogged, and fun It’s a great profile worth your time
One researcher candidate: “I am more aligned with Sarah on robotics philosophy than with most roboticists.” @saranormous led Sunday’s seed round in March 2024. What’s striking from day one is how deeply she went into understanding robotics from first principles, instead of relying on loose analogies and what “sounds right.” Sarah has been consistently supportive since then, with the highest level of integrity and intellectual honesty. She is always available (yes, I don’t think she sleeps), with the most genuine and helpful opinions. Grateful to be building with her!
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In 2018, Sarah Guo became the youngest general partner in Greylock's 60-year history. She was 28. Four years later, she quit to launch Conviction, a firm staked entirely on AI. Before ChatGPT shipped, she seeded Baseten and Harvey; each is now worth over $11 billion. In Conviction's first year, she wrote early checks into Sierra, Cognition, and Mistral; those three companies are now worth, together, $54 billion. Andrej Karpathy worked out of Conviction's office until Anthropic hired him in May. Guo has been close to Jensen Huang for over a decade. Her first two calls after starting the firm were to Sam Altman and Nat Friedman. And yet the investor closest to the AI frontier is betting against its biggest companies. The two big frontier labs, worth close to a trillion dollars apiece, no longer just want to build the models. They also want to build every product and company on top of them, leaving nothing for anyone else. The market is paying as though they might succeed. Of the $300 billion in venture capital deployed in the first quarter of 2026, the biggest quarter in the history of the trade, 65% went to only four companies: Anthropic, OpenAI, xAI, and Waymo. Guo is betting the labs can't build everything, and she spends her days making sure of it. She won Harvey its first client. She flew across the country to take a single Baseten candidate to a four-hour lunch. On one wedding anniversary, she spent the whole weekend on back-to-back calls, keeping two founders on the line so they couldn't speak to rival firms. Twice a year, she flies the world's brightest young founders to San Francisco and inducts them into the fight. In the months @domcooke spent reporting this piece, @saranormous had her fourth child, walked the Met Gala in 45 pounds of chainmail, and still answered her founders' texts within minutes. Guo's parents arrived from China in 1987 with $50, built a company, and took it public at $1.2 billion. Then it went bankrupt. Guo grew up inside that startup. She built its first website, did her homework in a cubicle, and slept over for bug bashes. She loved it. If two labs build everything, no one gets to do that again. Welcome to Sarah's Wager. Read it below.
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We found a general recipe for Solves: scale pretraining, then hill-climb with minimal in-house data. For the first time, one fine-tuning example can teach a new behavior that generalizes. Below: 4 folding strategies, learned from one example each and tested on held-out setups.
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Introducing ACT-2 Preview The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes. Zero shot, real unseen homes, 99% success rate.
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