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submitted 9 months ago by mozz@mbin.grits.dev to c/technology@beehaw.org
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[-] noxfriend@beehaw.org 3 points 8 months ago

Anything a human can be trained to do, a neural network can be trained to do.

Come on. This is a gross exaggeration. Neural nets are incredibly limited. Try getting them to even open a door. If we someday come up with a true general AI that really can do what you say, it will be as similar to today's neural nets as a space shuttle is to a paper airoplane.

[-] BlameThePeacock@lemmy.ca 1 points 8 months ago

https://www.youtube.com/watch?v=wXxrmussq4E

Have you not been paying attention to robotics recently? Opening doors is a solved problem with consumer grade hardware and software at this point.

[-] noxfriend@beehaw.org 1 points 8 months ago

I wouldn't say 74k is consumer grade but Spot is very cool. I doubt that it is purely a neural net though, there is probably a fair bit of actionismnat work.

[-] jarfil@beehaw.org 1 points 8 months ago* (last edited 8 months ago)

Try getting them to even open a door

For now there is: AI vs. Stairs, you may need to wait for a future video for "AI vs. Doors" 🤷

BTW, that is a rudimentary neural network.

[-] noxfriend@beehaw.org 1 points 8 months ago

I've seen a million of such demos but simulations like these are nothing like the real world. Moravec's paradox will make neural nets look like toddlers for a long time to come yet.

this post was submitted on 29 Jan 2024
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