Steven Henderson
276 posts

Steven Henderson
@ElectricMariner
Co-founder & CEO Fleetzero (YC W22) | Building electric + autonomous cargo ships | USMMA | HBS | American Seapower | @FleetzeroHQ
Houston, TX Katılım Haziran 2023
338 Takip Edilen72 Takipçiler
Sabitlenmiş Tweet

@bscholl @ApoStructura I think we learned of you take two twins and put one on ISS for a year the other becomes a Senator
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@ElectricMariner @ApoStructura I’ve yet to hear of a single major benefit
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@chamath Hard to keep any math equation or text as IP.
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@weatherman522 @Not_the_Bee Please don’t claim to be a Christian and then troll people, gives Christians a bad name
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@ElectricMariner @Not_the_Bee Its the risk you take to save others. I'm betting you wouldn't
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Unknown cowboy engages active shooter at Idaho In-N-Out
notthebee.com/article/unknow…
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The CIA used to contract out guys who were just praying no one noticed their blue eyes. Now the SEALs just walk around barely out of uniform.
Mrgunsngear@Mrgunsngear
You know before these special operators in Caracas Venezuela left the embassy they were like, "We're grey men just blending in. No one will know" 😂 Blend in accordingly... #CityLife #caracas #venezuela #LoVis #grayman #SOF
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I hate airline tweets BUT this is an actual sofa in @united club in Newark. And I paid for my kids to sit on it. I know first world problems..

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@Tendar Us defense startup using Ukraine as a test range with DOW support. My guess, no inside info
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@Osint613 They must have watched so many VHS tapes to get that good
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@blueleaf_garden @paulg Of course it’s on me. I could have paid less if I paid sooner. Doesn’t make it less annoying
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@TheLtColUSMC Yeah just wear a working uniform? Or don’t stand there?
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🚨 Hot take: Let’s use our chinstraps.
𝕃𝕚𝕖𝕦𝕥𝕖𝕟𝕒𝕟𝕥 ℂ𝕠𝕝𝕠𝕟𝕖𝕝 ℙ 🪖@TheLtColUSMC
Protecting their covers, perfectly in sync.
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@adcock_brett Good to see no safety chains holding it up
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@LeoKharon One day that robot is going to become self aware and…
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New framework: Kick down your robot, it will get back up every time 🥋
Chinese startup RoboParty is a Beijing startup founded April 2025 by Huang Yi, originally shipping ROBOTO ORIGIN, the world's first full-stack open-source bipedal humanoid.
They released UFO: Unsupervised Reinforcement Learning Framework for Humanoid Control.
DEFINITIONS -> what differs is where the learning signal comes from:
- SUPERVISED: humans supply the right answers (labels), the model imitates them.
- UNSUPERVISED: no answer key, the model finds structure in raw data on its own.
- REINFORCEMENT LEARNING: no answer key either, the model tries things and a reward scores each attempt.
→ UNSUPERVISED RL: trial and error where the agent invents its own rewards, instead of engineers hand-writing one per task.
REPRESENTATION LEARNING: compress raw states into a useful internal map.
TEMPORAL DISTANCE: distance on that map is "how many steps from A to B."
CONTRASTIVE: trained by pulling together what's close in time, pushing apart what isn't.
-> CONTRASTIVE TEMPORAL-DISTANCE REPRESENTATION LEARNING: the model builds an internal map of body states where distance means how many steps it takes to get from one to another. It is trained by contrast: states that occur close together in a movement get pulled together in the map, randomly paired states get pushed apart.
UFO is an open-source training framework that teaches humanoid robots skills, like getting up, walking, goal-reaching, teleoperation, without reference motions -> no motion-capture or human-video demonstrations to imitate.
Its core is TeCH, a contrastive temporal-distance representation-learning algorithm: the robot explores, builds pseudo-goals by temporal rolling, and learns goal-conditioned policies from a single unified progress reward.
One framework trains five different robots (Unitree G1/H1, RoboParty RP0/RP1, AgiBot X2) with automatic config conversion in ~2–3 hours per robot!
The real novelty here "no demonstrations at all".
No data-collection arms race,the dominant humanoid-locomotion recipe is tracking: imitate mocap/retargeted-human reference trajectories.
The robot self-generates goals from its own exploration and learns from a progress reward, needing zero reference motion data.
Everybody else is fighting over data acquisition, while this team just teleports out of the race entirely (inb4 "competition is for losers 💀 ).
This strategy reminds me of the DeepSeek playbook applied to robots: open-source the whole stack to become the global default and commoditize everyone else.
RoboParty is giving away hardware and now control software (UFO) to be the Android of humanoids.
Yet another reason for the US to ban Chinese open models perhaps 🥶 ?
What I also really like about this approach is the cross-embodiment infrastructure, one framework trains Unitree G1/H1, RoboParty RP0/RP1, and AgiBot X2 with automatic configuration conversion.
Just like Physical Intelligence, RoboParty seems to place itself as a neutral hardware agnostic middle man.
Also woth mentioning: their ability ot perform stable skill injection, e.g. adding a cartwheel without forgetting how to walk.
A common failure of RL humanoid policies is that teaching a new agile skill destabilizes the existing ones (catastrophic forgetting).
UFO claims you can inject rare motions (cartwheel) without collapsing learned behavior.
If it holds, that's a significant incremental/continual skill-learning!
But again, I have to underline it: no arXiv, no external validation, no success-rate numbers.
-> robotics badely needs an independent unbiased evaluator imho.
Still, look at that cool demo: robot is getting kicked and pushed around (serious disturbance) during teleoperation (controlled the person at the back wearing the VR headset), and still managed to always get back up.
This is some serious demonstration of stability and robustness!
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@HiddenHistoryYT Highly skewed propellers that took generations and billions in R&D to make. A lady should cover up for a photo even if all the bad guys know what’s under the towel
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@Defence_IDA Glad to see the PRC spend billions on building an almost equal weapon system that may eventually made irrelevant with real time satellites targeting and one-way drones
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@Rainmaker1973 Gives a preview of what meta-material camouflage will look like
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