Haichen Shen (@shenhaichen) header
Haichen Shen (@shenhaichen) profile picture
California, USA
Joined April 2009
Photo by Haichen Shen (@shenhaichen)Photo by Haichen Shen (@shenhaichen)Photo by Haichen Shen (@shenhaichen)Photo by Haichen Shen (@shenhaichen)
I was talking to someone yesterday about pitching hotels on robotics data collection. It’s a new idea to them. Most hotels haven’t thought about robotics yet.
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They’ll collect the data on owned hardware and do post-processing in-house. It’s pretty early for hotel companies to start doing this, but more tech-forward physical labor companies in the Bay Area like @DoorDash and @Uber are already doing it.
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Soon, it will be commonplace across many other industries. The companies that start collecting their own robotics data early will have an advantage when robot deployment becomes mainstream.
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Ego1 is our all-in-one egocentric headset for robot-learning data. It captures high-quality, hardware-synced stereo video + 200Hz IMU, then turns everyday first-person manipulation into policy-training data: metric head trajectory, 3D hand tracking, and dense depth.
Introducing Ego1, our first egocentric capture headset for Physical AI. We co-designed the hardware and the perception stack to turn everyday first-person activity, especially manipulation, into training data for robotic models at planet scale.
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The neodollar has arrived. USX will be stable, spendable, and offer 10-15% yield
It's time to build crypto right. The first ZK-powered neodollar is now live. usx.capital
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See you soon at the ZKONNECT
Second day of @EFDevcon and will Be moderating a big one at ZKONNECT today. We will deep dive into real time proving with an incredible panel: ✅ With @goinfrexeth from @LineaBuild ✅ @sd_eigen from @ProjectZKM ✅ @no89thkey from @brevis_zk ✅ @shenhaichen from @Scroll_ZKP Hot topics I am planning to bring up: • How sub 10 second proofs change the UX of onchain apps • Breaking down the biggest bottlenecks in proving pipelines • Circuit compilation vs hardware acceleration vs parallelism • Universal ZK computation and dev tooling • How ZK coprocessors speed up proof generation • What real time proving unlocks for wallets, L2s and AI driven apps • Shared proving frameworks and upcoming proof marketplaces • The killer use cases that only become viable under 10 sec proving • What it takes for the ecosystem to align on standard proving benchmarks Excited to moderate a very technical and very needed conversation for the ZK community. Com say hi!
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1/ Most on-chain privacy solutions today live on the edges — specialized networks, mixers, or ZK apps that sacrifice usability and composability. But privacy shouldn’t be a niche feature. It should be a default property of the blockchain economy. That’s why we built Cloak.
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5/ Cloak combines the scalability of Scroll with the assurance of zk proofs and the usability of modern fintech: - Private yet auditable - Secure yet composable - Fast, affordable, and compliant
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6/ Privacy doesn’t need to be hard, slow, or expensive. Cloak makes it practical. Stay tuned — a Cloak-enabled product will be available for everyone soon.
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USX pre-deposits are live now. The perfect neodollar is closer to your hands
USX pre-deposits are live. Private, spendable IRL, and gasless with ~10-15% return when you stake. Designed to fix crypto's biggest pain points. Here's exactly what that means:
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.@Scroll_ZKP will bring practical privacy to web3 world soon. Privacy is for everyone
The Ethereum Foundation is committed to working alongside the ecosystem to make privacy a priority. Privacy is normal. Privacy is for everyone. blog.ethereum.org/2025/10/08…
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the (closest) perfect stablecoin - USX
There is no perfect stablecoin. But we think we’re the closest. Introducing USX, the first neodollar by @Scroll_ZKP. Spendable IRL, gasless, private, and earns est. 12% when you stake:
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