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Why do people who don't like using LLMs keep insisting they are useless for the rest of us? If you don't like to use them, then simply don't use them.

I use them almost daily in my job and get tremendous use out of them. I guess you could accuse me of lying, but what do I stand to gain from that?

I've also seem people claim that only people who don't know how to code or people doing super simple done a million times apps can get value out of LLMs. I don't believe that applies to my situation, but even if it did, so what? I do real work for a real company delivering real value, and the LLM delivers value to me. It's really as simple as that.




Even outside of work. Two personal examples, out of dozens this week:

1. Asked ChatGPT for a table showing monthly daily max temp, rainfall in mm and numbers of rain days, for Vietnam, Cambodia and Thailand. And colour coded based on the temperatures. Then suggest two times of year, and a route direction, to hit the best conditions on a multi-week trip.

It took a couple of seconds, and it helpfully split Vietnam at Hanoi and HCM given their weather differences.

2. I'm trying to work out how I will build a chicken orchard - post material, spacing, mesh, etc. I asked ChatGPT for a comparison table of steel posts versus timber, and then to cost it out with varying scales of post spacing. Plus pros and cons of each, and likely effort to build. Again, it took a few seconds, including browsing local stores for indicative pricing.

On top of that, I've been even more impressed by a first week testing Cursor.


Yes, of course they did that. These things happily do whatever you ask them to. But did it spit out correct information?


Yeah, it did. And uncovered a local timber supply place I wasn't aware of, with decent pricing. I'm not expecting a final quote, but quick ways to compare and consider variations. I've used it in the same way to compare cladding costs/work for lining a building.


I don't think it's a matter or liking or not. The use cases just differ considerably, and tools and not as useful or applicable across those. THe OP's use case is probably one of the worst possible for LLMs right now, imo...


The internet is full of people spouting their opinions and implying other opinions are wrong. Both sides of the AI/LLM (and all in-between) are well represented.




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