Today’s links “Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed: The particular torments of reverse-centaurs are drastically under-theorized. Hey look at this: Delights to delectate. This day in history: 2009, 2014, 2019, 2023 Upcoming appearances: Where to find me. Recent appearances: Where I’ve been. Latest books: You keep readin’ em, I’ll keep writin’ ’em. Upcoming books: Like I said, I’ll keep writin’ ’em. Colophon: All the rest. “Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed (permalink) If AI has a future (a big if), it will have to be economically viable. An industry can’t spend 1,700% more on Nvidia chips than it earns indefinitely – not even with Nvidia being a principle investor in its largest customers: https://news.ycombinator.com/item?id=39883571 A company that pays $0.36-$1/query for electricity and (scarce, fresh) water can’t indefinitely give those queries away by the millions to people who are expected to revise those queries dozens of times before eliciting the perfect botshit rendition of “instructions for removing a grilled cheese sandwich from a VCR in the style of the King James Bible”: https://www.semianalysis.com/p/the-inference-cost-of-search-disruption Eventually, the industry will have to uncover some mix of applications that will cover its operating costs, if only to keep the lights on in the face of investor disillusionment (this isn’t optional – investor disillusionment is an inevitable part of every bubble). Now, there are lots of low-stakes applications for AI that can run just fine on the current AI technology, despite its many –…Pluralistic: "Humans in the loop" must detect the hardest-to-spot errors, at superhuman speed (23 Apr 2024)