this post was submitted on 20 Mar 2024
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Summary: There are many use cases for generative AI, spanning a vast number of areas of domestic and work life. Looking through thousands of comments on sites such as Reddit and Quora, the author’s team found that the use of this technology is as wide-ranging as the problems we encounter in our lives. The 100 categories they identified can be divided into six top-level themes, which give an immediate sense of what generative AI is being used for: Technical Assistance & Troubleshooting (23%), Content Creation & Editing (22%), Personal & Professional Support (17%), Learning & Education (15%), Creativity & Recreation (13%), Research, Analysis & Decision Making (10%).

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[–] PerogiBoi@lemmy.ca 10 points 8 months ago (5 children)

For real. I’ve been using Google since 2000 and it now costs me substantially more cognitive load to find things than if I just ask a LLM.

[–] TORFdot0@lemmy.world 10 points 8 months ago (4 children)

I can't trust the output of an LLM but at least you can ask it to cite its sources so you can get the page that helped it come to that conclusion

[–] rebelsimile@sh.itjust.works 8 points 8 months ago (3 children)

If I ask an LLM something like “is there a git project that does <something I’d describe in natural language but not keywords>” or is there a Windows program that does X, it may make up the answers, but at least I can verify that via a search engine. If I try to Google that (that’s theoretical, I don’t use Google), I’m going to end up on a page full of ads that is filled with trap links that lead to malware, top 10 lists with the same repeated content and all the other shit the internet has become. I kind of don’t mind the hallucinations relative to the ads. What a time to be alive though.

[–] aniki@lemm.ee 1 points 8 months ago

You immediately start from a better place using an LLM vs searching raw. If I just need a link, I use DDG. When I need to research, I ask the latest gpt4-turbo model.

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