In 2017, a computer at OpenAI created a picture of a computer that adversarially manipulated the perceptual classifier of humans to think they were looking at a catpic.twitter.com/A7bLN6MnUX
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From my perspective, it seems that you never fully deconstructed your foundations. Instead, you take a certain level of phenomenology as given and at best confabulate below it.
Whatever is given, is undeniably given by phenomenology. In my view, it is the assumption of non-phenomenal givens that needs to be deconstructed.
No, something needs to give the phenomenology. Not many things have the necessary and sufficient conditions to do that. Once you study the possibilities for languages that can convey phenomenological content, you discover the projects of mathematics and its constructivist update.
Aren't all non-phenomenological foundations confabulated from phenomenological inferences?
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