@RanCheng10@KyleVedder@RanCheng10 That makes sense. Do you still see any room for external teams to complement in-house efforts by scaling real-world stress testing (failure discovery, DAgger-style interventions, ops around locations/permissions) and not merely working like a data factory.
do you guys think it can still work if companies from countries like India don’t act like data factories but aim to become real-world robot training partners, helping companies with:
-Real-world failure & recovery experiments
-Dagger-style interventions
-Stress testing in messy real environments
-Evidence-based iteration
-dealing with location permissions etc.
Two new companies dropped very cool robot videos today on X: @tangiblerobots and @sundayrobotics . Both are building very fun, friendly-looking mobile manipulators, with a focus on compliance and great industrial design. Amazing week for robotics.
Many people didn’t believe the video of the “female” humanoid walking yesterday - the gait looked so natural it practically passed a real-world Turing test. To clear the skepticism, @XPengMotors released two additional videos showing behind-the-scenes footage and confirming that it was indeed a real robot, not a human performer.
We’re honored to be backed by @cyberfund and featured in this post on their investment thesis: cyber.fund/content/noumen…
Digital AI stacks simulate randomness on hardware meant to erase it. In contrast, our approach treats noise as computation, enabling the radical acceleration
We’re honored to be backed by @cyberfund and featured in this post on their investment thesis: cyber.fund/content/noumen…
Digital AI stacks simulate randomness on hardware meant to erase it. In contrast, our approach treats noise as computation, enabling the radical acceleration of algorithms crucial to machine learning methods that sample high-dimensional probability distributions.
By aligning the potential of thermodynamic hardware with probabilistic approaches like Active Inference, we’re migrating physical AI from theory to silicon, building brains for robots (noumenal.ai/how-to-build-a…) while skipping simulation when at all possible. @mjdramstead@JasonGFox@cyberfund
1X announced the preorder of their humanoid home robots yesterday, starting at just $20K or $499/month.
The announcement generated major hype across the robotics space, and the crypto x robotics sector reacted instantly. $PEAQ for example as the top robotics coin currently outperforming everything else while the broader market is tanking.
People need to start realizing that even if this future feels dystopian, it’s much closer than most imagine or would even like it to be.
It’s now a full-on race between leading robotics manufacturers like Figure, Apptronik, 1X, Unitree, and others, all pushing to deliver affordable humanoids for everyday life and become the first movers in this new era.
In my opinion, this announcement was just a small teaser of what’s coming from the robotics scene in the next months and years.
And honestly, announcements like this create a flywheel effect, competitors feel the pressure to accelerate their roadmaps and drop their own big reveals even faster.
For most people, the crypto x robotics market is the best way to actually bet on this transformation even if, for now, it’s largely a narrative play.
A 10-20x market cap expansion in crypto × robotics within the next 6–12 months wouldn’t surprise me at all.
This is India's top humanoid robotics startup.
You've likely never heard of it.
That's because @GeneralAutonomy has been building in hardcore stealth mode.
Their humanoid, Atom 01, is:
- Made in India
- Autonomous
- 31 kgs
GA invited us to their office. Here's what we saw:
No robot? No problem. Jump into Barbarika Sim, control a robot with your keyboard, and start recording datasets - right from your browser, End to End Decentralised Robot learning platform - Coming Soon !! @vana
🚀 Another successful setup from one of our contributors!
Robots are getting plugged into our Barbarika DataDAO, expanding the global network collecting high-quality teleop data for Physical AI.
Every new station compounds the dataset, making robots learn faster. ⚡ @vana
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