Patrick

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Patrick

Patrick

@_patrickrose

Computer Enjoyer

Los Angeles Katılım Mart 2025
61 Takip Edilen18 Takipçiler
Patrick retweetledi
UFB - Ultimate Fighting Bots
New League. New Website. Your favorite world-famous humanoid fights are entering the next phase. We’re launching the next generation of humanoid sports - the UFB Fighting League. Now’s your chance to get involved. Visit UFB.GG and join as a Pilot, Ghost, or Team Manager.
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Vitaly Bulatov
Vitaly Bulatov@vitl2907·
Yesterday we held the UFB Ghost Trials at @CalHacks Hack Nights — hands-on trials where students learned to retarget motions from videos, train motion imitation policies (BeyondMimic) in mjlab, then competed in sim + real robot deployments! This is about making advanced humanoid training accessible to students everywhere — not just labs. Top teams impressed, making progress towards permanent placement in the league. Congrats to team Molt, Justin and Alice, for taking the win 🚀🤖 Shoutout to @kevin_zakka (creator of mjlab — the backbone of our sim training) and massive props to @UFBots tech team: @emerson @_patrickrose and @DDobas for powering this and pushing the frontier forward! Video of sim showdowns, real deployments, and winners below 👇
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David Dobáš
David Dobáš@DDobas·
Happy to have led the workshops at UFB Ghost Trials — covering video motion retargeting, training BeyondMimic in mjlab, latest papers like Sonic/BFM-Zero, plus team support, sim evals & real-robot deployments. Thrilled seeing more students get hands-on with humanoid training! 🚀🤖
Vitaly Bulatov@vitl2907

Yesterday we held the UFB Ghost Trials at @CalHacks Hack Nights — hands-on trials where students learned to retarget motions from videos, train motion imitation policies (BeyondMimic) in mjlab, then competed in sim + real robot deployments! This is about making advanced humanoid training accessible to students everywhere — not just labs. Top teams impressed, making progress towards permanent placement in the league. Congrats to team Molt, Justin and Alice, for taking the win 🚀🤖 Shoutout to @kevin_zakka (creator of mjlab — the backbone of our sim training) and massive props to @UFBots tech team: @emerson @_patrickrose and @DDobas for powering this and pushing the frontier forward! Video of sim showdowns, real deployments, and winners below 👇

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David Dobáš
David Dobáš@DDobas·
Last week, we ran 8 humanoid robots live at DJ Wukong’s Chinese New Year show. 5 on stage. 3 with VIPs. I ran the full pipeline, from mocap to sim to real deployment. Here’s what worked (and what didn’t).
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Patrick@_patrickrose·
@sreak1089 @pwlot @Sentdex [2/2] Locomotion and proprioceptive coordination is one case where I suspect there is a significant contribution from evolutionary biases, with additional learning over the lifetime of an individual; see “motor babbling” in pre-term infants.
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Patrick
Patrick@_patrickrose·
@sreak1089 @pwlot @Sentdex [1/2] A guess: morphological and kinematic constraints on observations and actions provide a foundation. Broad biases in wiring preference (among many other factors) steer development towards certain structural outcomes, promoting useful perceptual and behavioral dynamics.
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Kendra
Kendra@StretchGoat_·
@_patrickrose I thought he only had red and blue 🤣🤣🤣🤣
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Kendra
Kendra@StretchGoat_·
Wake up babe new Nile Red video finally dropped again
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Taelin
Taelin@VictorTaelin·
(Low quality opinion post / feel free to skip) Now that AGI isn't cool anymore, I'd like to register the opposing position. - AGI is coming in 2026, more likely than not - LLMs are big memorization/interpolation machines, incapable of doing scientific discoveries and working on OOD concepts efficiently. They're not sufficient for AGI. My prediction stands regardless. - Something akin to GPT-6, while not AGI, will automate human R&D to such extent AGI would quickly follow. Precisely, AGI will happen in, at most, 6 months after the public launch of a model as capable as we'd expect GPT-6 to be. - Not being able to use current AI to speed up any coding work, no matter how OOD it is, is skill issue (no shots fired) - Multiple paths are converging to AGI, quickly, and the only ones who do not see this are these focusing on LLMs specifically, which are, in fact, NOT converging to AGI. Focus on "which capabilities computers are unlocking" and "how much this is augmenting our own productivity", and the relevant feedback loop becomes much clearer.
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Harrison Kinsley
Harrison Kinsley@Sentdex·
This is incredible
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Patrick
Patrick@_patrickrose·
@alessiograncini Good news: Zotero ArXiv backlog keeps growing Bad news: Zotero ArXiv backlog keeps growing
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Alessio
Alessio@alessiograncini·
Good things happen when you're stuck and spiral into rabbit holes that leave you feeling out of place. That’s called learning and yeah, it’s stressful.
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Alessio
Alessio@alessiograncini·
Oh no
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Alessio
Alessio@alessiograncini·
Thanks for bringing this teleop lens to life, this was so much fun and it worked flawlessly on #Spectacles! @_patrickrose @vitl2907 @ArthurZBaney @vincent_trasto @SnapAR
R.Turbo@r_turb0

What it feels to be a robot? 🤖 Dozens of people tried it this weekend at @LAHacks 🕶️ #Spectacles let you teleport into me 😯 🤓 While I learn, you can help me do stuff. We also collect good training data this way. And the best part, everyone had fun! Look at these happy faces ☺️ Human-robot interaction: looking bright 🤩 Thanks @LAHacks and @SnapAR team for having me!

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