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by sho_hn12 hours ago |
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upvoteby moonu11 hours ago|
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Idk if you've seen this already but Taalas does this interesting thing where they embed the model directly onto the chip, this leads to super-fast speeds (https://chatjimmy.ai) but the model they're using is an old small Llama model so the quality is pretty bad. But they say that it can scale, so if that's really true that'd be pretty insane and unlock the inference you're talking about.
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upvoteby lachlan_gray11 hours ago|
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Robotics/control systems is exactly what came to mind when I saw this release! What struck me is the possibility of look ahead search in real time, a bit like alphazero's mcts.
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upvoteby pstuart1 hours ago|
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It's a fascinating proposition and no doubt they'll get bigger models in there, and likely be able to cluster multiple models for mega MOE. One thing that would really be great is if they could take the power requirements down -- the chip requires 2.5KW, which is modest in terms of what the big boys use but would be an issue on a battery powered robot.
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upvoteby Kostic11 hours ago|
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Taalas showed that you could make LLMs faster by turning them into ASICs and get 10k+ token generation. It's a matter of time now.
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upvoteby timmg10 hours ago|
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Actually pretty interesting to think: in a few years you might buy a raspberry pi style computer board with an extra chip on it with one of these types of embodiment models and you can slap it in a rover or something.
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upvoteby tootie10 hours ago|
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Is emulating human behavior really a valuable end goal though? Humans exist as the evolutionary endpoint of exhaustion hunting large pray and organic tool-making. We've built loads of industrial and residential automation tools in the last 100 years and none of them are humanoid. I'd imagine a household robot butler would be more like R2D2 with lots and lots of arms.
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upvoteby nozzlegear3 hours ago|
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> Humans exist as the evolutionary endpoint

Just want to pedantically point out that we're not at our evolutionary endpoint yet. Humans are still evolving!

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upvoteby hootz8 hours ago|
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It is when the world was made to interface with us. We can't use robots for everything if they aren't emulating us, because we would have to adapt everything for the non-humanlike robots.
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upvoteby tootie5 hours ago|
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We build our living spaces against the constraints of the human form, but that still doesn't imply the human form is optimal for anything. There's no reason a robot traveling over smooth surface should have legs instead of wheels or treads. There's no reason to have a head. Some kind of arm is a common design feature, but certainly no reason to have two. No reason to be symmetrical. A domestic robot may be constrained in terms of scale (ie see things at counter height) but not shape.
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upvoteby famouswaffles1 hours ago|
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>We build our living spaces against the constraints of the human form, but that still doesn't imply the human form is optimal for anything.

We build just about everything we expect to interact with against the constraints of the human form, not just living spaces. And yes we because we built those spaces for the human body, the human body is by definition the optimal choice.

>There's no reason a robot traveling over smooth surface should have legs instead of wheels or treads.

There's a reason. The robot becomes useless for any surface that isn't smooth. What's it going to do about stairs ? You're not going to make a bespoke solution that generalizes for us better than 'feet that work'. Do you think it's better to built a million different complex robot bodies for every situation ? That defeats the purpose of being general purpose.

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upvoteby hgoel4 hours ago|
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Really, the requirements are for the robot to move in predictable ways (if something looks like an arm, it ought to move like an arm, etc), and to have enough strength to be useful for difficult/tiring tasks while somehow also not being dangerous if something does go wrong.
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upvoteby Glemllksdf8 hours ago|
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Every single behavior? For sure not but otherwise we are the result of a very very long evolution and there is nothing else around us as smart and as adjustable.

The planing ahead thing through simulation for example seems to be a very good tool in neuronal network based architectures.

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upvoteby LetsGetTechnicl10 hours ago|
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What if we put slop images into slop machines and got slop^2 back out
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