Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
♾️
Thinking
Wop
wop
83
30
443
Follow
karina230's profile picture
ProPrak01's profile picture
darkc0de's profile picture
46 followers
·
139 following
https://bench-labs-org.github.io
koo1140
AI & ML interests
AI research AGI
Recent Activity
reacted
to
branikita
's
post
with 🔥
1 day ago
SO-ARM 102 goes open source in the next few weeks. What's new: - A parallel gripper: the jaws stay parallel through the whole stroke instead of pivoting around the object as they close. - PET-CF instead of PLA+ for a much stiffer frame. - A topology-optimized structure. - Wider joint rotation and folding range. - STS3250 servos on the first shoulder joint. Compared with the SO-ARM 101, that adds up to 2.5x the payload, roughly 2x better positioning accuracy, roughly 1.6x the movement speed, and about 36 mm more reach. It runs on Hugging Face LeRobot, so the same tooling, training pipeline and tutorials for the SO-ARM 101 work on it from day one.
reacted
to
branikita
's
post
with 🔥
1 day ago
SO-ARM 102 goes open source in the next few weeks. What's new: - A parallel gripper: the jaws stay parallel through the whole stroke instead of pivoting around the object as they close. - PET-CF instead of PLA+ for a much stiffer frame. - A topology-optimized structure. - Wider joint rotation and folding range. - STS3250 servos on the first shoulder joint. Compared with the SO-ARM 101, that adds up to 2.5x the payload, roughly 2x better positioning accuracy, roughly 1.6x the movement speed, and about 36 mm more reach. It runs on Hugging Face LeRobot, so the same tooling, training pipeline and tutorials for the SO-ARM 101 work on it from day one.
reacted
to
NitrAI
's
post
with ❤️
1 day ago
My (really ugly) thoughts on NVIDIA acquiring Hugging Face I don’t care if you love me or hate me – something about one of the most open community efforts ever to achieve the tagline “The community building the future“ getting gobbled up by a company that arguably is the biggest hardware monopoly that has ever existed strikes me as deeply unsettling. I don’t like monopolies, and that is that. The whole appeal of HF for me personally was always having a neutral location where anyone could develop, deploy, and test a model on their silicon of choice without being pushed into a single “official“ proprietary infrastructure stack. I am not going to pretend that I would believe NVIDIA “open and independent“ is ever going to happen – hell we have all heard the same lines dozens of times from every corporation that has ever uttered them before. When the single biggest producer of compute also is one of the primary locations where all open weights live, it becomes very hard not to imagine where all of this is going to end up soon enough if we continue to let companies dictate the narrative. It might be the hyperbole but it is an absolute truth for me – open-sourced AI cannot be a slave to the whims of a trillion dollar company. It is high time we realize that open AI cannot live and breathe only on the goodwill of corporate entities.
View all activity
Organizations
wop
's activity
All
Models
Datasets
Spaces
Buckets
Papers
Collections
Community
Posts
Upvotes
Likes
Articles
published
an
article
3 months ago
view article
Article
Does Depth Actually Help Reasoning? A Tiny Experiment on 2× T4
wop
•
May 30
•
4
Load more