this post was submitted on 12 Mar 2025
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AI is useless for most people because it does not solve any problems for day to day people. The most common use is to make their emails sound less angry and frustrated.
AI is useful for tech people, makes reading documentation or learning anything new a million times better. And when the AI does get something wrong, you'll know eventually because what you learned from the AI won't work in real life, which is part of the normal learning process anyways.
It is great as a custom tutor, but other than that it really doesn't make anything of substance by itself.
The fact that I can't trust the AI message to be remotely factual makes that sort of use case pointless to me. If I grep and sift through docs, I'll have better comprehension of what I'm trying to figure out. With AI slop, I just end up having to hunt for what it messed up, without any context, wasting my time and patience.
I really recommend watching this introduction by Andrej Karpathy https://www.youtube.com/watch?v=7xTGNNLPyMI
One part that really stuck with me is that the data in the model is more like a fading memory but the stuff in the context window is more like the working memory. Since I learned that I tend to put as much information as possible into the context window before asking questions about it. This improved the results drastically and reduced hallucinations.