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The Robot I Didn't Expect to Build
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Also, I wonder if (as in the case of XGO) it isn't easier to just automate the moving of crates onto the conveyor belt instead of using a robot picking them up and hauling them there.
WillAdams
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I think that rather underestimates what people can and have done (cue John Henry story).
I worked in an Amazon warehouse for two different stints:
https://www.reddit.com/r/EDC/comments/dmnuts/53mamazon_fulfi...
and it was rather like a gym membership which I couldn't skip out on (glances at exercise equipment cluttering living space) and during which I could ponder life choices and consequences while wishing there was a soundtrack/music.
That said, this sort of thing, LLMs/AIs and data centers, and so forth feel like a perfect storm leading up to singularity (as envisioned by some optimistic science fiction authors) or something far worse, cue Marshall Brain's novella "Manna":
bambax
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That's a disturbing sentence. Most jobs are "dull". Peolpe work not to fill their otherwise empty existence, but in order to earn money. Dullness could be solved by making the tasks less dull, or empowering employees (even if the term has been abused).
The sentence is also dishonest. Businesses want robots to save costs and increase profits, not to make their employees happier.
jryle70
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> Peolpe work not to fill their otherwise empty existence, but in order to earn money
Unless they are desperate, they'd still prefer less dull jobs. Desperate employees are disaster in the waiting.
> Dullness could be solved by making the tasks less dull
That's the recipe for unsafe working environments.
niemandhier
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Both build humanoids, but apart from that the companies are quite different.
amelius
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https://www.youtube.com/watch?v=kQ2bqz3HPJE
we are still struggling with making a robot walk?
tailsdog
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hingler36
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helsinkiandrew
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dvh
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WillAdams
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That said, after a while, one can be surprisingly fast when picking --- on one occasion I walked up to a bin full of non-descript cardboard boxes, grabbed one, spun it in my hands for the six-sided box check and scanned it to verify it was the correct pick, and then was asked to explain how I had gotten that right by a trainer w/ a bunch of trainees--- it seemed like almost five minutes of explanation of minor differences in cardboard texture, box shape, construction and so forth to explain how it was that at first glance, that was the only correct choice.
I've always wondered if LLMs would arrive at a similar conclusion with on-going training as they are used.