This is riddled with logical fallacies and none of these arguments hold. You should be ashamed.
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KeenFlame@feddit.nu 4 days agoSometimes it’s so funny to see you all type “well it’s a grey area” and then stretch it this way and that. But ofc, Gregory, all other areas of life are black or white, that you haven’t learned about yet, if course, thanks for the deep wisdom!
echodot@feddit.uk 4 days ago
Everyone keeps trying to mansplain the process or the architecture, or algorithms involved
Because you’re making assumptions about how it works and those assumptions are wrong. I’m sorry if you find that offensive but you need to be educated before you can make an informed decision you seem to be unhappy with this.
Coding with agents if you were a programmer before is a harrowing but also empowering
So you do know how to code, which makes your prayer in conjunctuality of the process kind of hard to comprehend.
KeenFlame@feddit.nu 2 days ago
No, I am telling you that my understanding and that of the researchers is that we have a black box we are trying to understand. We mimiced nature and found something but don’t fully know what is going on inside. Anyone that says they do, are lying. You cannot look at “the code” for the transformer or any process and understand why the weights produce text that solves problems. It is idiotic to pretend you understand without understanding how the technology functions at all
lime@feddit.nu 4 days ago
it’s a compression algorithm, my guy. we don’t know how 7z picks the numbers it does for its tables either, but we damn well know why.
KeenFlame@feddit.nu 2 days ago
No, it’s absolutely not a compression algorithm.
lime@feddit.nu 2 days ago
it certainly works on the same principles.
KeenFlame@feddit.nu 2 days ago
This is the infantile mansplaining-like phenomenon I was eluding to. You don’t know. You think that it is a compression algorithm. Another, that it is a stochastic parrot and yet another that it is a live being. It is rare except for the people that actually read and understand the code that people admit, that the inner workings of the neural net is still a complete mystery. Oh, we know things like that the k-space seem to emphasize phrases that are adjacent to but not necessarily part of output. We know that we can afford certain sidebands for orthogonal functions we also don’t understand, except that they improve this or that tendency. It is extremely not a compression algorithm for several reasons. The first one being the inability to reform the original message with confidence, or with the slightest hint of efficiency. We do not know how it works, and it is easy to spot emotional counterfactual discourse by the confidence with which they proclaim to understand how modern machine learning models work.