Building the future workforce for Robotics @crowdbrainai | prev: founder @DeFi_Land @unleashar @chosendotfun. senior expert @McKinsey

San Francisco, CA
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Truly blessed to be the grand winner of one of the biggest hackathons ever organized (@colosseum) with 3000 teams competing. Thanks to everyone for your support! Make sure to follow @crowdbrainai closely. The next moves are going to be big!
1/ Announcing the winners of the Solana Frontier Hackathon!🏔️ Read about the winners & honorable mentions: blog.colosseum.com/announcin… The subset of winning teams accepted into our VC fund's next accelerator cohort will be shared in the coming days. Congrats to all! 🏆
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Is it just my timeline and all the effort I put into manifesting this or is teleoperation actually being talked and shilled a lot more lately?
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VR and AR making a mega comeback is something I've been praying for daily for the last 10 years. I'M BEYOND EXCITED FOR EVERYTHING THAT'S ABOUT TO COME. Btw, it's going to be a huge part of robotics. And also props to Meta VR team.
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This is a must read for anyone in data or robotics. Doing the hard thing is the only moat. No shortcuts. And if you’re collecting data, you need have a very clean plan to graduate out of being a data company. Now, back to work.
After 2+ years in the robotics data space, we are shutting @Eidon_AI down. The thesis was right. But the business is brutally hard. We close this chapter by open-sourcing everything we built and sharing lessons for anyone venturing into the space.
Article

Robotics Data is a Broken Business

A technical bottleneck does not necessarily imply a good business. We recently shut down @eidon_ai after 2+ years in the data space. We started in early 2024 with a gamified multimodal data collection

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I'm locked in the dark room until I become a master at teleoperating arms with just the keyboard. Watch out VR and exoskeleton users! TELEOPMAXXING
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Yes, I’ve tried it. No, I’m not adding Jev to every workflow and posting GAMECHANGER examples. Especially not for robotics. Thanks!
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Is it just me or did announcement videos from all the robotics labs lately get prettier and cinematic but so much more boring?
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Feels like one of those weeks when everyone in robotics announces something new and exciting. @odysseyml next. What a time to be alive.
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids. - learned directly from human manipulation data - no teleop/robot data - close to human-level dexterity and efficiency - multi-robot collab
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What actual robot deployment sites look like. BRB, gotta catch up with @SkildAI
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Lately I’ve tried 3 new VC funded robotics sim engines. All claimed best physics and optimization. On contact rich manipulation all of them were worse than mujoco. What are we doing here?
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If you think working with big corporates is painful, wait until the government becomes your customer.
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If you are fascinated by seeing Unitree G1s walk the streets in 2026, you wouldn’t be able to handle Neptune pulling up and aura farming in the USSR 60 years ago.
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All my cracked teammates from national math team who chose research path are now depressed. Talked with two of them today and both feel lost and not sure what to do in life. Crazy times.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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We gave gpt6 Astra control of deployed robots, Unitree G1 and a bimanual YAM setups. It was significantly worse than what you see on X. Picking and placing a cube is one thing. Doing a real task in a real factory is an entirely different thing. I’ll write it up in detail later.
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Is it just me or did random Sunday Robotics employee tweets entirely vanish lately? Went from 100 spam shitposts on my timeline to 0 real quick.
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We just had insane weeks of banger back to back robotics announcements with Dyna, Generalist, Skild. And now my timeline is back to AI robotics slop and engagement farming. The downgrade is brutal, I was not prepared for this.
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Very bad timing on my end. WE ARE BACK
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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What’s the real reason robot teleop has so many haters? I get the undisclosed demo thing. But there gotta be something deeper than that.
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My grandma in eastern Europe just DMed me about ego data collection. Turns out she saw an ad, signed up and bought the headmount. She’s already recording household + retail tasks on iphone. Will be earning “decent money for years”, as the company told her. Have seen this pattern a lot previously in various industries. This 100% gotta be the top on ego data businesses.
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This is too much fun to miss. Just ordered several of these. As soon as they land, I'm plugging them into @crowdbrainai, so people can teleop Microducks from anywhere in the world and play multiplayer games with them.
We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details, play with the simulator and order it at: pollen-robotics.com/microduc… (video with sound on 🔊)
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Robots cooking with common sense was not on my Tuesday bingo card. Huge! Congrats to the entire @SkildAI team.
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:
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