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Re:Things we learned about LLMs in 2024 by layer8 on Tuesday December 31, 2024 @06:44PM (#42562726)
One difference is that skillful googling still only involved typing a few keywords or a short phrase and some syntax, and then knowing how to skim the results and iterate, and how to operate your browser efficiently. With LLMs, you have to type a lot more (and/or use voice input), and often also read more, it’s also not stateless/repeatable like following a web link, and most output looks the same (as opposed to the variations in web sites). I pride(d) myself on my Google foo, it was fun, but I find using LLMs to be quite exhausting in comparison.
Re:Things we learned about LLMs in 2024 by j_bum on Tuesday December 31, 2024 @10:26PM (#42563722)
I also find LLMs to be more exhausting than Googling, but for me they’ve been ultimately more enriching and efficient.

Specifically, I’ve been using Kagi Assistant over the past 1.5 months for serious and lengthy searches, and I can’t imagine going back to traditional search.

I’m currently sold on this model of LLM assisted search (where explicit links are provided) over the old Google foo skills I developed during grad school.

Example search topics include deep dives and guidance for my first NAS build, finding new bioinformatics methods, and other random biomedical info.