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>> No.6956519 [View]
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6956519

(............also before you make any more dumb assumptions about me, you can see roughly my skill level if you check the archives.)

>The truth is, like I said, we do not work on the same level and as such, this kind of interpretation is false.
if you say that, then you must have a better explanation. your explanation of "maths" is wholly lacking. ironically you my explainations simplistic, but you just basically handwave it all away with "maths"

>..because it has learned to do so by processing the raw mathematical data of images where such a thing happens-
first it needs to recognize what "such a thing" even is, and it's not like it can just copy pixels. colors must fit. other parts of the image must be considered. it's all interdependant. similar to how a llm semantically understands its own context.

again i stress: you cannot just copy pixels and some fucking RGB channels. it's ludicrous.
if it can even simplify an apple into a generalized edge of a round circle object, than that already is a generalization. a departure from the training data. it is no longer making the training data, it is making a circle because that is a part of its representatio of what an apple is.

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