I think this is a good casual introduction to the marketplace dynamics of how ML will impact the market. I do, however, disagree as I feel that this version of

I think this is a good casual introduction to the marketplace dynamics of how ML will impact the market. I do, however, disagree as I feel that this version of things is a bit too sterile, theoretical, and 'academic', and assumes a more open-information set of competitive strategies among potentially ideal agents from a game theoretic perspective. We can see this is absolutely not the case 'in real life'. To blatantly poke a bit of a (potential) hole in one of his examples -- Exxon-Mobil is one of the clearest examples of the monopolization-blobbification of power that I'd contend _does_ cause the very phenomenon that he's defending against. An updated version: There will be a log-normally distributed set of winners and losers from the exponential effects of ML and 'AI', and the flatness of this curve will be almost entirely solely determined by the governance of the various countries in the world over different economic and/or informational policies. Other than that, the information asymmetry is going to make it a power-bloodbath as we go through our informational-industrial revolution. While I'm here, while I think Hotz does contribute a lot of good to the field, though I do have a bit of an actual minor personal beef with him. He said he was going to reimplement https://github.com/tysam-code/hlb-CIFAR10 https://github.com/tysam-code/hlb-CIFAR10 in tinygrad, bashed a few parts of the code (my feelings!) for a while on stream, and then gave up a few hours later because of the empirical speed/occupancy numbers. >:( I want my fast reimplementation, George. Just do it.