I appreciate your well-thought-out ideas in this article. Looking forward to reading more. Frank Jackson's 'knowledge argument' and its distinction between proposition and phenomenal knowledge may not require a dualist metaphysics. Playing devil's advocate here, we could encode propositional knowledge regarding the laws of physics perhaps using NLP techniques. And we could encode phenomenal knowledge (subpersonal representational states) using a variety of info-theory approaches, such as variational autoencoders. The resulting network and its weights 'represents' the phenomenal experience of 'seeing blue,' which due to biological/evolutionary history of humans, is associated with the qualia of such an experience. But these qualia are merely contingent given the sensory information presented to organisms with our perceptual and conceptual capabilities. Second: Nice use of Hayek's arguments (sounds like von Mises arguments against communism as well). But i've always thought that there is inherent value in knowing products/services came from other humans. If so, people will always be willing to pay more for those things and therefore at the very least there will remain a small group of "human artisans" probably catering to the tastes of the wealthy. Anyway, I also recently wrote a piece on how Marx, Hegel, and Nietzsche's ideas relate to data science. It may interest you. https://towardsdatascience.com/intro-to-post-structuralist-french-philosophy-for-data-scientists-c74019122f17?source=friends_link&sk=d7377b65f465fec705ee3762ff297b0f

Travis Greene. PhD Student in Business Analytics at the Institute of Service Science, National Tsing Hua University https://greenet09.github.io/datasophy/

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