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Why keep building AI to do the things that people find fun to do rather than the mundane bullshit? All we’ll be left with is cleaning, folding laundry, and doing the dishes while AI does all the interesting things.


Because we don't have as much data about mundane bullshit.


How do we get it? Serious question. The take makes sense but how do we digitize doing the dishes?


not dishes but the other day I saw this recent papers for clothes

>RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments

https://arxiv.org/abs/2412.01083

>To overcome the challenge of limited data, we build our own simulator and create 144 synthetic clothing assets to effectively collect high-quality training data.

the strategy is simulation




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