From the description of the link in the post: > The historical claim is that in the last decades, we have seen an overreach of the logic of markets, with marke

From the description of the link in the post: > The historical claim is that in the last decades, we have seen an overreach of the logic of markets, with markets being defended precisely for their capacity to deal with decentralized knowledge. Phew, I never really drew the parallel between the current bane of my existence (the trust in the almighty algorithm and the perceived objectiveness of anything with numbers in it regardless of their ability to actually describe the supposed phenomena; okay parenthetical rant stopping early) and the “trust in the market.” But I’ll be damned if I’m ever going to not make it now. I really want to talk at length about how we (machine learning practitioners) have made our own beds with people jumping to conclusions about higher order reasoning and the ability to recall anything used in a training set by being militant about that separation as individuals but failing miserably as communities; and I want to talk about how that has created this perception of exactly what she’s referring to: over-leveraged trust in diffuse, “decentralized” knowledge. But… I won’t. At least not yet. I’m going to check this book out. Thanks for the recommendation!