robots0only (u/robots0only)

robots0only commented on Martial arts robots at 2026 Spring Festival Gala [video] youtube.com/watch?v=mUmlv... · Posted by u/lisper

mesrik · 25 days ago

Yes, the autonomy level of these robots was what I was yesterday emailing with my former colleagues we were wondering. Two months ago CNET & PC-Mag posted following video which suggests more about robots movements being assisted by humans. And it also shows Chinese have being edge of the development at that point.

https://www.youtube.com/watch?v=jXTibM33SDg

However, then another short video bit alike popped up and is puzzling too.

Apparently Unitree robot is playing pingpong match like a pro. Sorry about german announcer, I couldn't find with english.

https://www.youtube.com/shorts/BgD1ukTyNnw

There is another match viewable by pressing that "Robot plays ping ppng #robot" arrow.

How about that robot? Is it human assisted or not? Our opinions diverted, I'm quite sure it is assisted but my former colleague thinks it's got to be autonomous as it would be too difficult and slow to do that fast movements with remote control assisted robot.

It would be nice to hear opinions about that playing robot too if anyone could provide some insight in that.

edit: I think the serve waiting robot hand movement and after losing wiping left eye gesture as a disappointing a bit in my opinion gives up it's human. Or if not, why would a robot do such a human like gestures.

edit2: OK, good points, I see now. It's definitely a fake. Thanks to all who replied :)

robots0only · 25 days ago

here is a real video of a unitree robot playing ping pong https://www.youtube.com/watch?v=tOfPKW6D3gE

robots0only commented on GPT-5.2 openai.com/index/introduc... · Posted by u/atgctg

emp17344 · 3 months ago

I’m extremely skeptical because of all those articles claiming OpenAI was freaking out about Gemini - now it turns out they just casually had a better model ready to go? I don’t buy it.

robots0only · 3 months ago

how do you know this is a better model? I wouldn't take any of the numbers at face value especially when all they have done is more/better post-training and thus the base pre-trained model capabilities is still the same. The model may just elicit some of the benchmark capabilities better. You really need to spend time using the model to come to any reliable conclusions.

robots0only commented on The Walt Disney Company and OpenAI Partner on Sora openai.com/index/disney-s... · Posted by u/inesranzo

npollock · 3 months ago

Disney said "Our IP is $1B for a 3yr license, or we sue"

Altman said "We can pay with equity, but let's frame it as an investment"

No cash exchanged

robots0only · 3 months ago

This is probably very similar to what happened!

robots0only commented on Nano Banana Pro blog.google/technology/ai... · Posted by u/meetpateltech

AmbroseBierce · 4 months ago

2D animators can still feel safe about their job, I asked it to generate a sprite sheet animation by giving it the final frame of the animation (as a PNG file) and asking in detail what I wanted in the spritesheet, it just gave me mediocre results, I asked for 8 frames and it just repeated a bunch of poses just to reach that number instead of doing what a human would have done with the same request, meaning the in-betweens to make the animation smoother (AKA interpolations)

robots0only · 4 months ago

the problem here is that text as the communication interface is not good for this. the model should be reasoning in the pose space (and generally in more geometric spaces), then interpolation and drawing is pretty easy. I think this will happen in some time.

robots0only commented on Figure 03, our 3rd generation humanoid robot figure.ai/news/introducin... · Posted by u/lairv

imtringued · 5 months ago

Actually, folding clothes is a challenging dexterity task. However, it's a trivial mechanical engineering task, which is why it is so popular with underpowered robot arms.

robots0only · 5 months ago

How are you defining dextrous? I think it can be somewhat challenging but not dextrous -- the robot doesn't need to be very precise (few cms here and there do not matter), there are no forces involved, motions are all pick-place. Dextrous tasks would be things like shoe-lace tying, origami folding etc.

robots0only commented on Figure 03, our 3rd generation humanoid robot figure.ai/news/introducin... · Posted by u/lairv

jcims · 5 months ago

I don't know if I caught your comment in my peripheral vision or what but GPT-2 is exactly where I conceptually placed this.

Neural networks for motion control is very clearly resulting in some incredible capability in a relatively short amount of time vs. the more traditional control hierarchies used in something like Boston Dynamics. Look at Unitree's G1

https://www.youtube.com/shorts/mP3Exb1YC8o

https://www.youtube.com/watch?v=bPSLMX_V38E

It's like an agile idiot, very physically capable but no purpose.

The next domain is going to be incorporating goals and intent and short/long term chains of causality into the model, and for that it seems we're presently missing quite a bit usable training data. That will clearly evolve over time, as will the fidelity of simulations that can be used to train the model and the learned experience of deployed robots.

robots0only · 5 months ago

Locomotion and manipulation are pretty different. The former we know how to do well -- this is what you see in unitree videos. Manipulation still not so much. This is not at all like GPT-2 because we still don't know what to scale (and even the data to scale is not there).

robots0only commented on Figure 03, our 3rd generation humanoid robot figure.ai/news/introducin... · Posted by u/lairv

ihumanable · 5 months ago

They've got an hour long video of it sorting packages if you want a longer clip https://www.youtube.com/watch?v=lkc2y0yb89U

They've shown the "putting dishes in the dishwasher" bit before, it seems to be getting better, but I imagine it still has a high failure rate.

I wonder if this company started off or has some founder that's really interested in the "handling deformable stuff" space. They really seem keen to promote that it can do tasks like folding a shirt or working with soft packages.

Definitely seems like a carefully curated video, but the longer videos make me think that either they are running a scam or they have some of this stuff working well enough.

robots0only · 5 months ago

Here you can see another much simpler robot folding clothes for far longer: https://www.youtube.com/watch?v=gdeBIR0jVvU (there are more videos from other companies as well)

To answer your question -- folding clothes is easy, because clothes easily deform, do not break, fall smoothly when you drop them and most importantly are easily resettable task. Just through the well folded cloth up and voila start again.

robots0only commented on Figure 03, our 3rd generation humanoid robot figure.ai/news/introducin... · Posted by u/lairv

HAL3000 · 5 months ago

All of the examples in videos are cherry picked. Go ask anyone working on humanoid robots today, almost everything you see here, if repeated 10 times, will enter failure mode because the happy path is so narrow. There should really be benchmarks where you invite robots from different companies, ask them beforehand about their capabilities, and then create an environment that is within those capabilities but was not used in the training data, and you will see the real failure rate. These things are not ready for anything besides tech demos currently. Most of the training is done in simulations that approximate physics, and the rest is done manually by humans using joysticks (almost everything they do with hands). Failure rates are staggering.

robots0only · 5 months ago

+100!!! Please don't fall for the HYPE.

The current best neural networks only have around 60% success rates for small horizon tasks (think 10-20 seconds e.g. pick up apple). That is why there is so much cut-motions in this video. The future will be awesome but it will take time a lot of research still needs to happen (e.g. robust hands, tactile, how to even collect large scale data, RL).

robots0only commented on Gemini 3.0 Pro – early tests twitter.com/chetaslua/sta... · Posted by u/ukuina

robots0only · 5 months ago

In all of these posts there is someone claiming Claude is the best, then somebody else claiming they have tried a bunch of times and for them Gemini is the best while others find GPT-5 is supreme. Obviously, all of these are subjective narrow experiences. My conclusion is that all frontier models are both good and bad with no clear winner and making good evals is really hard.

robots0only commented on Modular Manifolds thinkingmachines.ai/blog/... · Posted by u/babelfish

robots0only · 6 months ago

so their way to differentiate against frontier labs is to try writing research blog posts (not papers). It will be interesting to see how this plays out. I don't think that anyone serious about developing frontier models would be putting anything useful out there for others. We already see this with all the incumbents -- Google, OAI, Anthropic, xAI, DeepSeek and other chinese labs.