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Neither did this guy.
The difference is that LLM output is (in the formal sense) bullshit.
so is search. I mean I would not click the first link from a search and then copy and paste code from the site into my project no questions asked. similarly you can look over what the ai comes up with and see if it makes sense. same you would do with some dudes blog. you can also check the references it gives or ask it to expand on some part. hey what does the function X do. I really don't see it as being worse than search.
not that you should be copy pasting any significanct amount of code, but at least when you do you're required to understand it enough to fit it into your program. LLMs just straight up camouflage the shit code by putting something that already fits and has no squiggly red lines beneath. Many people probably don't bother reading it at that point.
yeah I mean by that standard anything a person like that uses is going to be an issue. They can be useful but im worried about the power they use although I wonder how much power that is realtive to be searching different blogs for 10 or 20 minutes.
For a point of comparison, a ChatGPT request uses 2.9 watt-hours (and rising) to a google searches 0.3 (which per your example would only be run once assuming you're checking different blogs from the same list of results.)
https://timesofindia.indiatimes.com/technology/tech-news/chatgpt-google-search-need-power-to-run-heres-how-much-water-and-electricity-are-used-to-answer-questions/articleshow/111382705.cms
generally I end up checking some results and often changing the search with new keywords but all the same I generally am doing follow up questions similarly. Im betting to any energy the ai uses to check web destinations is likely not included which would be the same as I going to a destination. maybe less if its more of a crawl or api. Any way you slice it its going to be more I think.