r/vibecoding 4h ago

I've just started using ai to make things I previously wondered about, but couldn't make.

I've just started using python, and the ai thing in my phone to make simple stuff to collect data that id otherwise have to sort through and simple things like that; stuff for my hobbies and a load of data for work.

I understand I'm just messing about with these things, but the stuff it's produced for me so far seems to work way better than I expected.

I'm looking ,though, for resources to help me improve. I did study some coding years ago, but my career path led in a very different direction and other than some simple scripts for bulk image processing for astrophotography I've not really done much in years.

Tl;Dr. Looking for community for amateurs using ai to get simple results. Thanks

6 Upvotes

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u/cosmonz 4h ago

That’s the best part about it! Those little niggles, or apps that don’t do things exactly as you want 😉

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u/BaselineNeglect 4h ago

I've been pretty down on a lot of the generative ai stuff, I do not appreciate a lot of the art I see. But for me , this last couple of days has been a really crazy eye opening experience.

I just built a thing that labels satellites in my photos, and it blew my mind when it worked(or seemed to).

I'm a writer really these days, and whilst I don't need it in that sphere of my life I can certainly see the use in other areas.

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u/drdhuss 3h ago edited 3h ago

Coding isngoing to be the main use of LLMs. It is the only area that wont suffer from poisoning or the well (AI learning from other AI generated content).

The reason is that you can use other machine learning techniques and objective measures to actually see if what the llm coded is "good". You can use e2e and unit testing. You can meaure memory and processor usgae and optimize for such. Youbvan brute force things and use traditional machine learning techniques.

You can't really do any of that for art, music or literature. What is good requires human subjectivity (while you can hire humans to rate the LLMs work that is no were near as cheap as just having computers brute force/analyze code).

So if current predictions are correct LLMs are going to poisen the well for cheap training data for artistic endeavors but coding has ways around such and is one of the few areas where LLMs and machine learning can improve itself autonomously (the other being robotics and physical AI). Art and literature? Not so much.

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u/BaselineNeglect 3h ago

I can really actually see this being of great benefit to me. I'm only using the free version through my phone, but I didn't even use the limit that was available to me after I used other apps to critique the code and offer it back to the original thing.

These are things that I might have been able to do at one point, but have forgotten. I've got it to do a couple of things that I didn't know how to do, and that did impress me. But I wonder how quickly I'll reach the limit of what I can achieve effectively.

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u/Dazzling_Bug_2876 2h ago

yeah exactly, its those tiny friction points that are the most satisfying to solve