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I use GPT for things that would require multiple Google searches (research). Some examples..

- I count calories... eat out always and at somewhat healthy chains (Cava, Chipolte, etc). Tell GPT (via voice while driving to & or after eating) what ive eaten half the day at those places and then later for dinner. It calculates a calorie count estimation for half the day and then later at dinner the remaining. I have checked to see if GPT is getting the right calories for things off websites and it has.

- Have hiking friends who live an hour or two hours away and we hike once a month an hour or less drive is where we meet up and hike at a new place. GPT suggests such hikes and quickly (use to take many searches on Google to do such). Our drives to these new hikes learned from GPT have always been under an hour.

So far the information with those examples has been accurate. Always enjoy hearing how others use LLMs... what research are you getting done in one or two queries which used to take MANY google searches?



GPT is proving useful for me where something is well documented, but not well explained.

Case in point: Visual Basic for Applications (the Excel macro language). This language has a broad pool of reference material and of Stack Overflow answers. It doesnt have a lot of good explicatory material because the early 2000s Internet material is aging out, being deleted as people retire or lose interest, etc.

(To be frank, Microsoft would like nothing more than to kill this off completely, but VBA exists and is insanely more powerful than the current alternatives, so it lives on.)


With eating out so much, try to ask it about sodium intake as well.


yeah that is somewhat of a concern and have asked GPT that info / to calculate that too (though only a few times).




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