141–150 of 417 posts
The weakest point of any robot now is the energy source. Even with the most advanced AI and body it will be tethered to the power network or some big battery. It will negatively affect potential adoption outside of the places like warehouses, factories, hotels, malls, bars, etc.
Also I'm not convinced that humanoids are an effective realization of robotics. The human shape and functions evolved from the biological pros and cons of our chemistry. That of robots is very different, so you'd expect similarly different shapes and functions.
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How does this square with the video where they showed it running continuously for an hour doing an actual Amazon package sorting job? https://www.youtube.com/watch?v=lkc2y0yb89U
> How does this square with the video where they showed it running continuously for an hour doing an actual Amazon package sorting job? https://www.youtube.com/watch?v=lkc2y0yb89U The video shows several of glitches. From the comments: 14:18 the Fall 28:40 the Fall 2 41:23 the Fall 3 Also many of the packages on the left are there throughout the video. But then I think lots of this can be solved in software and havin…
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Now the question is if this is GPT-2 and we’re a decade away from autonomous androids given some scaling and tweaks, or if autonomous androids is just an extremely hard problem.
For LLMs, the input is text, and the output is text. By the time of GPT-2, the internet contained enough training data to make training an interesting LLM feasible (as judged by its ability to output convincing text). We are nowhere near the same for autonomous robots, and it's not even funny. To continue to use the internet as an analogy for LLMs, we are pre-DARPANET, pre-ASCII, pre-transistor. We don't even have th…
I’m sure they could pretty easily spin up a site with 200 of these processing packages of most sizes (they have a limited number of standardized package sizes) nonstop. Remove ones that it gets right 99.99% of the time and keep training on the more difficult ones, the move to individual items.
Caveat: I have no idea what I’m talking about.
People comparing this to GPT-2 is very interesting. While it sounds like a nice analogy or even a good story to investors, the fundamentals are very different. To train GPT, all of the training data (the internet of text, scanned books, etc) had already existed, even before the GPT project began. Arguably, the compute required (for GPT-3) also already existed, even before GPT-2. The GPT project really just came down…
https://openreview.net/forum?id=3RSLW9YSgk
https://www.nature.com/articles/s41586-025-08744-2
I know the current early generations of humanoid robots are very janky and slow, but I'd gladly pay $20k USD for a robot to do all the household chores.
Really? I don't even think a cheap robo-vac is a good purchase.
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 u…
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I think the glossy 7min trailer has it about right: The first realistic deployments will be champagne holders at parties and robots at hotel receptions. Novelty toys for the wealthy. Commoditization and Walmart-level deployments at scale are still a few gens off.
That's what escalators looked like in the beginning-- novelties at fairs, large department stores, and hotels.