ClaraChengGo

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ClaraChengGo

ClaraChengGo

@ClaraChengGo

Don’t take risk when you’re young then when | Babysitting robots at @openmind_agi @fabricFND | Rebel at HKU PKU

San Francisco, CA Katılım Haziran 2022
4.2K Takip Edilen6K Takipçiler
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
To everyone in SF or Bay Area: DM me if you want the unique experience with humanoids! I am helping my friend to bring out the humanoid experience. Perfect fit for wedding, birthday party or corporate event. We will handle everything, including safety monitoring, operation and delivery. Attached video is an example we did before!
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
Academic career path is like: >> You worked for 10 years >> published a long list >> you got 10 people who care about your work >> only 2 agree with you >> but hundreds of people online disagree and want to teach you how to do your lifework
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
I am grateful that I am not the smartest one. I am not growing up surrounded by the flowers and applause. I am not the example you will use as the legacy textbook. But also because of this^, I understand myself thoroughly in those reflecting times. I can walk through the polar night without cheers or flashlight. Resilience. There are me, myself and I in the vision board. There will be us, ourselves and we in the vision board. *The sunset in SF today is SOTA
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
@Shloak1712 egocentric is both useful and scalable, more scalable than teleops. I do think there is the surplus of data supply but the demand side is still figuring out which type is the most efficient. And how to get the field diversity. That's why the supply is not consumed.
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Shloak
Shloak@Shloak1712·
@ClaraChengGo Interesting, do you think egocentric is not useful then? Teleops isnt scalable enough? Simulation isn’t there yet? Cause if its said that data is abundant, which i doubt then why aren’t models progressing?
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
Robotics data has a paradox: There is a surplus in the data supply, but data is still the biggest bottleneck. The problem isn't the amount of data. It's what data actually works. The real question is: What's really effective data, i.e. actually improves robot performance in the real world? Whoever answers this wins. For data companies, it means better products and more revenue. For model teams, it means faster model improvement. It's no surprise that robotics data and foundation models are two of the hottest topics among VCs. They're all betting on the teams that figure out what effective data really is.
ClaraChengGo@ClaraChengGo

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intern
intern@intern·
@1x_tech boyfriends everywhere are cooked
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1X
1X@1x_tech·
NEO’s Hands An API to the Physical World
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Erica Kang
Erica Kang@ekang426·
Celebration of Alignment - the second shard was held in Lisbon, where our life together and the four body problem started. 👩🏻‍❤️‍👨🏼👶👶 What a grateful, beautiful night. Alignment is all you need 🫶🏻
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
Why is Humanoid Deployment the Primary Growth Engine in 2026. Here is my thought: 2025 is the year of demo. But in 2026, real-world deployment, not demos, will become the industry's primary growth engine. At @openmind_agi, we're seeing this firsthand. We have a growing pipeline of real deployments across multiple industries. Through these engagements, we've shared deployment-oriented feedback with some hardware companies. Unfortunately, many chose not to prioritize it, not because it wasn't valuable, but because it didn't make for a better demo. In 2025, better demos meant more attention, and more attention meant easier fundraising. As a result, much of the industry optimized for investors rather than customers. Many humanoid companies were building for VCs, not for the market. That incentive is now changing. In 2026, robotics companies will need to prove they can generate real value. Whether the goal is sustainable revenue or raising the next round, both increasingly depend on one thing: successful deployment in the real world. Deployment is no longer just validation, it has become the distribution channel.
ClaraChengGo@ClaraChengGo

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Photon
Photon@PhotonHQ·
Photon robot spotted at South Park 🤖 text your robot on iMessage to buy you lunch so you can lock in & keep building on fable and sol
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
In robotics, 2025 is the year of demo, because of these 2 reasons. 1. Locomotion breakthroughs made robotics visually compelling. Humanoid robots reached a new level of mobility, with companies, especially China's @UnitreeRobotics, producing demo videos that captured global attention. 2. Attention became the dominant PMF The biggest PMF wasn't robots solving real-world problems. it was demo videos satisfying people's curiosity about humanoids. As a result, many robotics companies optimized for fundraising and media narratives instead of deployment. Demo performance became the industry's default metric for progress. >> But that era is coming to an end.
ClaraChengGo@ClaraChengGo

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Mondo Robotics
Mondo Robotics@mondorobotics·
Beni is live on Kickstarter. Your first camera robot that follows, jumps, flips, films, reacts, gets back up when he falls, and turns real moments into footage you can keep and share. Super Early bird from $549. Shipping starts in October tinyurl.com/mrx2mtfm Here's what Beni can do 🤖
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