The new 1X clip is a compilation of super quick cuts with no indication of what parts are teleoperated (non-zero per the twitter thread.) Maybe itβs a capable hardware platform but this is not a serious robotics demo. Hope they will share more soonβ¦
21.02.2025 21:31 β π 1 π 0 π¬ 1 π 0
Doesnβt have to be ZIRP. As long as FAANG has more cash than they can spend on short term product development they will invest in research.
23.12.2024 14:22 β π 0 π 0 π¬ 0 π 0
YouTube video by Unitree Robotics
Unitree B2-W Talent Awakening! π₯³
Incredible demo reel from Unitree!
youtu.be/X2UxtKLZnNo?...
23.12.2024 14:16 β π 4 π 1 π¬ 0 π 0
Not saying that, just that it can distort incentives (and we donβt have a lot of insight into the o3 training process.) A long and varied list of AGI benchmarks is needed.
22.12.2024 17:48 β π 1 π 0 π¬ 0 π 0
Every field has a deluge of low impact papers, thatβs just academia. Imagine if the high impact papers came once every 5 years instead of a couple months.
22.12.2024 17:42 β π 1 π 0 π¬ 1 π 0
I think itβs actually fine to argue that any AGI benchmark that comes with a training set will not survive Goodhartβs Law
22.12.2024 17:38 β π 6 π 0 π¬ 2 π 0
GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.
A generative world for general-purpose robotics & embodied AI learning. - Genesis-Embodied-AI/Genesis
Genesis has a lot going for it: delightful dev experience, clean implementation, many useful features and solid performance.
And yet, the benchmarks in their announcement are bogus, and the genAI features they put front and center are vaporware.
Not a good look.
github.com/Genesis-Embo...
21.12.2024 01:32 β π 3 π 0 π¬ 0 π 0
Just my opinion here. It seems plainly untrue that most tracking applications are βnegativeβ. e.g. every car on the road should have pedestrian tracking. Also strange that you call out quadrupeds as primarily military, that is the least developed of any real quadruped use case right now.
29.11.2024 22:23 β π 1 π 0 π¬ 0 π 0
It happens. The only cure for impostor syndrome is knowing it exists.
27.11.2024 18:29 β π 0 π 0 π¬ 0 π 0
Thanks!
22.11.2024 17:16 β π 1 π 0 π¬ 1 π 0
Math Assoc. Prof. (On leave, Aix-Marseille, France)
Teaching Project (non-profit): https://highcolle.com/
Software engineer, robot enthusiast, amateur Go player. Chicago
Avid Nerd in all senses of the word. PhD student at the Australian Centre for Robotics
PhD @ ETH Zurich | Computer Vision | Monocular Depth | 3D Stuff | Ex intern at Meta
nandometzger.github.io
PhD student at MPI Informatics, ex @bayesgroup. 3D Scene Representations, Computer Vision, Graphics, VR/AR, Bayesian ML, Music | πΊπ¦
https://vrudnev.me/
Principal research scientist at Google DeepMind. Synthesized views are my own.
πSF Bay Area π http://jonbarron.info
This feed is a mostly-incomplete mirror of https://x.com/jon_barron, I recommend you just follow me there.
PhD student. Working on Computer Vision for 3D geometry and semantics.
https://tberriel.github.io
PhD candidate @Jena_DH & @TU_Muenchen working on 3D Reconstruction from Historic Imagery. @TU_Muenchen graduate.
π Munich
PhD @RWTH.bsky.social | 3D Computer Vision
π https://ka.codes
Research Scientist at Valeo.ai.
https://anhquancao.github.io/
3D Vision | Visiting PhD @ Stanford | ETH AI Center Fellow
elisabettafedele.github.io
Doing research in 3D computer vision!
Assist. Prof. @UvA Amsterdam | Prev. ETH Zurich | TUM
Helping robots see @ http://intrinsic.ai (Alphabet company). Here talking about 3D Computer Vision and everything around it. Views are my own.
π PhD Student in Robotics at ETH ZΓΌrich
π Computer Vision, 3D Reconstruction, Structure-from-Motion, SLAM, Geometry
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
3D Machine Learning @ NavVis.
Prev. PhD Candidate @ Visual Computing Group, TUM (Prof. NieΓner).
https://manuel-dahnert.com | Scene Understanding & Reconstruction - Generative Models
π PhD student in TUM CVG of Prof. Daniel Cremers @dcremers.bsky.social
π€ 3D Computer Vision, SLAM, SfM, 3D Reconstruction
π MSc CS at ETH Zurich
π ganlinzhang.xyz
Research Scientist @ Google DeepMind | 3D Computer Vision & Machine Learning
Associate Professor, 3DAI Lab @ TU Munich
https://www.3dunderstanding.org/