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"participants who had access to an AI assistant wrote significantly less secure code" and "were also more likely to believe they wrote secure code" - 2023 Stanford University study published at CCS23 (arxiv.org)

submitted 2 months ago by [email protected] to c/[email protected]

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[–] moriquende 9 points 2 months ago* (last edited 2 months ago) (1 children)

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.

[–] [email protected] 1 points 2 months ago (1 children)

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.

[–] [email protected] 2 points 2 months ago (1 children)

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

[–] [email protected] 1 points 2 months ago

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.