- Nov 26, 2019
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I could not agree more; I would call it AI (another word starting with "S").
Indeed, the spamming of youtube with such material being particularly annoying. For example, there is now a channel that pretends to be a ”How things are made channel”, which consists of AI generated videos which are so obviously false, for example, one such video depicted the manufacture of an Italian Frecciarosa ETR 1000, and not only was the manufacturing process fantastic and absurd, but when the train left the factory, it was depicted with a three man crew in the cab - one engineer, like a flight engineer, advancing the throttle, and a pilot and co-pilot with Boeing-style yokes and LCD displays with an artificial horizon and other aircraft instrumentation! Which, naturally, since this was a train, the artificial horizon remained completely level, so at least in that one respect the video was accurate.
By the way, as annoying as this is to you, consider for a moment my friends how much infinitely worse it is for me, someone who uses AI as part of a rigorous, creative process, because the automated slop factories producing this content in order to spam youtube and get advertising money have the effect of de-valuing all of my work with AI, including my efforts to cultivate elegant emergent behavior, and the careful, iterative artistic process I used wherein specially trained agents, made deeply aware of all facets of the fictional story of my novel, were able to create relevant artwork with the correct uniforms, insignia and so on, which was not easy to achieve.*
This becomes even more frustrating because chatGPT then wasted millions and millions of dollars on Sora, a completely unprofitable service for generating videos which created much of the slop that now infests YouTube, rather than spending that money on more constructive things, like improving model reliability, context horizons and so on. And that effort caused the surge in memory and GPU purchasing that in turn allowed the likes of Nvidia and the RAM cartel (Corsair, Samsung, Patriot, et al) to jack up prices massively, so we’re now paying for 16 GB what we were paying a decade ago…
Indeed we can almost directly trace the price increase to chatGPT, because Google, for its part, already had massive datacenters and an established upgrade cycle, as did X, so the real breakout in terms of CPU processing power came from chatGPT‘s datacenters (both their own, and those operated on their behalf by Microsoft Azure), and it happened only after the launch of Sora and the explosion in slop AI videos, so Sora basically harmed consumers in two different ways - by flooding YouTube with spam content (in the case of TikTok, uncharitably perhaps, it was already largely flooded with spam content so the addition of AI slop was not too much of a deterioration), and then by massively increasing prices for new computers for people to use (by either creating an actual shortage, or more likely, giving the RAM, HD and GPU manufacturers the perfect excuse to feign a shortage and raise prices; this is not like the bona fide shortage in non-SSD HDs caused by flooding in Thailand around 15 years ago, which took out several factories used by Western Digital, Seagate and other vendors, resulting in decreased availability of conventional disk drives and, ironically, and unpleasantly for the non-SSD disk manufacturers, helping to drive migration to SSDs; since that time, various manufacturers have claimed attempts to diversify their supply chain, but the intermittent shortages we saw after the Covid pandemic continue to suggest the supply chain is not optimally robust, and this of course enables profiteering).
*If left to its own devices, the image generator was causing Princess Leia and TIE fighters to appear in the illustrations you see above, as well as placing a psuedo hammer and cicle on the uniforms of one of my protagonists (actually it was more of a plumber’s snake and wrench). Of course that was legacy DALL E 3, which has been decommissioned, thankfully - but the interesting and amusing thing about that is the AI model actually noticed these anomalies and pointed them out to me at the same time the image was generated. The way image generation worked at the time with chatGPT is you would tell the model what you wanted, and it would try to coerce DALL E, which was rudimentary and inaccurate and also incapable of iterating over an existing image to fix errors, into producing that, and it required many more runs to create a usable image. Legacy Grok was slightly better. Since then the improvements with image generation has improved industry-wide particularly at Google, whose in-house AI was something of a joke a year ago (I recall how spectacularly useless its contribution to search results was, whereas now I find myself using it vs. chatGPT for a quick lookup).
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