this post was submitted on 11 Jun 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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I've recently had to begin dealing with this type of crap at my job in the past month, and it's infuriating.
Testers using LLMs to analyze logs, said LLMs cockily composing a multi-page 'bug report' stating the supposed cause, spewing a metric tonne of mostly irrelevant context and gaslighting with authoritative-sounding conclusions about the root cause of the issue; and since it sounds so damned confident in its verbose hallucinations, I have to waste precious time explaining to the test team and my manager why the report is mostly or entirely wrong.
Goddamn, I am so ready to retire. Let these "dark factory" advocates bury themselves in their models' slop. There will be a reckoning someday for this I swear; and if, someday, a company comes to me to clean up the mess "AI" has wrought, I will demand 3-4x my regular salary to clean it up, or, if I am financially content in retirement, I will simply tell them to go fuck themselves and lay in the bed they have made.
I'm with you, but so so far away from retiring.
Silver lining is that the company refuses to pay for more than included GitHub copilot tokens. They are currently in denial and saying folks can just use the cheap models to build management's dream of "native agentic workflows", but I fully expect them to have to face the reality that people will get fancy tab completion and the occasional prompt and that's it. I can deal with that volume.
But still after each model release I go to use it and save examples of it falling on its face. Because each time a new model launches management is convinced that the llms don't make mistakes anymore. If they just said it is getting better that would be one thing, but they are always convinced that new LLM was when all the issues were fixed.
Working on open source has been tougher, since other people have blown budget on making harder to understand bug reports and pull requests.
My company loves having people shooting out vast amounts of PRs to other teams with surface level fixes to things we’ve been working on for months. You can tell none of them have been tested and only like 50% of them work. It’s infuriating.
Oh yeah, that reminds me of yesterday. There was a problem and I was asked to look together with a guy from another team. The other guy was spinning out and spouting all sorts of wild ass guesses about the behavior and talking and talking about why it might be happening and why it calls for a change that would have been massively a pain in the ass for the user, but in principle would solve the issue if implemented, and pressuring me to make those changes right that second.
I said just wait a moment, gave a patch that just simply fixed the problem, explained the actual root cause, why it was a very quick fix, and used the balance of the time to improve performance because the experience was slower than I liked, even if the customer had not complained about it (something took about 2 minutes that should have been near instant, but they just "assumed that's the way it is").
No AI involved whatsoever, but a very AI like behavior of spouting nonsense that sounds right and just shotgunning off some design in hopes of it doing something, no matter how messy.
Just an example of why AI is so "exciting" in the tech industry, so many are already used to just guessing without understanding and hoping it works.
Wouldn't that be oh so satisfying. 🤤