In the 1990s there was another big AI push, rules, the RETE algorithm, etc., and, in the middle of it, gave talks at Wharton, Stanford, etc. First cut, could think of it as a generalization of Select-When. The code had a problem, and one afternoon had an idea, got a pizza, and in the morning had some running, innovative code that saved much of the project. Gee, I got $1000. Soon that AI flopped, no surprise.
Current AI? Even if it were, really is, 99% hype and the rest nonsense, and can't tell for sure, still it's the loudest sound, involves really big server farms, electric power sources, data collections, attention from media, investors, and even the POTUS, and can't give a solid argument that it will never amount to much, sooooo, can't just ignore it and have to pay attention, e.g., see if the balloon will keep rising or spring a leak and fall.
Here at HN, when see AI, LLM, GANs, AGI, easy enough mostly just to skip them, but can't just ignore all of it. Besides, if want to pay some attention, HN is one of the best places to do that.
Current AI? Even if it were, really is, 99% hype and the rest nonsense, and can't tell for sure, still it's the loudest sound, involves really big server farms, electric power sources, data collections, attention from media, investors, and even the POTUS, and can't give a solid argument that it will never amount to much, sooooo, can't just ignore it and have to pay attention, e.g., see if the balloon will keep rising or spring a leak and fall.
Here at HN, when see AI, LLM, GANs, AGI, easy enough mostly just to skip them, but can't just ignore all of it. Besides, if want to pay some attention, HN is one of the best places to do that.