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submitted 10 months ago by hedge@beehaw.org to c/technology@beehaw.org
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[-] khalic@beehaw.org 14 points 10 months ago* (last edited 10 months ago)

I kind of regret learning ML sometimes. Being one of the 10 people per km2 who understand how it works is so annoying. It’s just a fancy mirror ffs, stop making weird faces at it you baboons!

[-] SenorBolsa@beehaw.org 3 points 10 months ago* (last edited 10 months ago)

The best part is it's not even that complicated of a thing conceptually. Like you don't need to study it to kind of understand the idea and some of its limitations.

[-] jarfil@beehaw.org 1 points 10 months ago

Do you really understand how it works? What would you call a neural network with mirror neurons primed to react to certain stimuli patterns as the network gets trained... a mirror, or a baboon?

[-] khalic@beehaw.org 1 points 10 months ago

Lol nice way to say you don’t understand shit about it :D

[-] jarfil@beehaw.org 1 points 10 months ago* (last edited 10 months ago)

I'm afraid that's not correct, but clearly this discussion is over.

[-] EthicalAI@beehaw.org 1 points 10 months ago

ANNs don’t have “mirror neurons” lol

[-] jarfil@beehaw.org 1 points 10 months ago* (last edited 10 months ago)

What do you call a neuron "that reacts both when a particular action is performed and when it is only observed"? Current LLMs are made out exclusively of mirror neurons, since their output (what they perform) is the same action as their input (what they observe).

[-] EthicalAI@beehaw.org 1 points 10 months ago

I can’t even parse what you mean when you say their input is the same as their output, that would imply they don’t transform their input, which would defeat their purpose. This is nonsense.

this post was submitted on 12 Oct 2023
33 points (92.3% liked)

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