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submitted 1 year ago by hedge@beehaw.org to c/technology@beehaw.org
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[-] drwho@beehaw.org 39 points 1 year ago

Oh, for fuck's sake... no. It isn't. And I find myself pondering whether or not the article's authors are themselves sapient.

[-] khalic@beehaw.org 13 points 1 year ago* (last edited 1 year 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 1 year ago* (last edited 1 year 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 1 year 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?

[-] EthicalAI@beehaw.org 1 points 1 year ago

ANNs don’t have “mirror neurons” lol

[-] jarfil@beehaw.org 1 points 1 year ago* (last edited 1 year 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 1 year 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.

[-] khalic@beehaw.org 1 points 1 year ago

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

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

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

this post was submitted on 12 Oct 2023
35 points (100.0% liked)

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