this post was submitted on 17 Jan 2026
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Fuck AI
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A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.
AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.
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"make your own prompts" misses by one step. Use of AI robs you of the opportunity to learn/practice/hone your skills in a certain area. why would someone use ai for any reason other than to get out of having to learn something? do you expect llms to be the best source of how to learn [blank]? which [youtuber/podcaster/old bridgetroll/televangelist/fascist/fishnet chat lightbulb] would you suggest explains [blank] better because frankly at this point i'm fucking invested.
oh no.
rtfm being replaced by wyop.
::: spoiler wyop
write your own prompt
This is not really a good argument against AI. Almost everything ever invented was invented to avoid doing something else that would take more time.
Why would anyone use animation software other than to avoid learning to draw your frames in sequence?
Why would anyone use a loom other than to avoid having to learn how to weave?
Why would anyone read a book other than to avoid learning by experience and experimentation?
Yes, but the 3D animation software doesn’t do the thinking for you, nor replace your artistic vision.
To use a loom you have to learn how to use a loom. You may skip weaving, but you become familiar with textiles anyway.
You’re optimising for less physical effort. That means you work faster, but you don’t grow stronger or more dexterous either.
If you solely use AI, then you’re optimising for less thinking. So what happens then?
You’re optimising out your sole evolutionary advantage as a human, by delegating your thinking to another entity.
But...
If you know how to draw frames in sequence, you'll be better at using the animation software.
If you know the intricacies of weaving, you'll be more efficient with the loom.
LLMs are a pretty good tool to summarize any subject, or present it with different words or in a different approach... They are a statistical word predictor tool after all.
So yeah, if you understand that LLMs:
Then, I'd say that LLMs can be used as a very good facilitator to learn about almost any subject that has already been documented in any word format in almost any language.
They're not even good at that.
It feels like as the models were iterated on they got worse at it over time. I wonder if it's because of all the guard-railing and internal censorship etc.
It's just a messy process, it's purely based on probability, I don't think it'll ever get good, people were just being lied to. Don't forget that they relied on "confirmatory bias" and "selection bias" from the users as well.