Fuck AI

I work in software development. At one of my jobs i had an elderly colleague with onset dementia, who was causing all kinds of problems.

As a last hurra before going into retirement he wanted to prove to everyone (or better, himself) that he could still do it and code a big application all by himself.

So he decided to take on this project where he would build an intranet portal for a customers internal website...with WordPress.

With the help of AI, he coded a plugin and a theme. Which in itself is not a problem, but he made them depend hard on each other. There were constants defined in the theme that were used in the plugin and the AI did not add any checks, so when you disabled one of the two, the site would just throw an error 500.

When it went live, the customer noticed that only administrators were able to login, any user level lower than that (i.e. all of the customers employees) would just get an error on login.

By then the old fart had decided he was leaving the company, so I received the task to clean that up. He had used two different versions of an external library that were slightly incompatible with each other and depending on a race condition we would get one or the other, the LLM hooked into things that didn't actually exist, functions were duplicated between the plugin and theme, the CSS was 20.000 lines. It was an absolute shitshow and basically unrecoverable.

The funniest thing was that this guy was absolutely proud of his work and anyone who just slightly criticized him for the atrocious code quality just got shouted at loudly.

My boss then hired someone fresh from university to fix that and he just put more AI code into the project, making it even worse.

When I left, the project was still not launched after over a year and the customer was (rightfully so) super pissed-off.

I think the garlish recipe that grew deadly botulism cultures is still the banger. Looks innocent and can kill your whole family (here the original reddit post - "Google Gemini tried to kill me").

And it is a good example why being right 50% of the time is not good enough and definitely not safe even for very commonday things.

Suggesting that, since bleach is a great cleaner, and ammonia is a great cleaner, mixing the two would make an even better cleaner.

Around 2023, the early days of AI and Google shoving it in everyone's faces in their search, I was trying to look up how to get nail glue off of a phone screen because my coworker at the time, during her shift, was doing her nails at the desk and got nail glue on the work phone.

The first result, Google's AI summary, suggested to "microwave the phone for one to two minutes." I clicked the source and it linked to a forum comment by a guy who was clearly joking about how to clean the phone, but the AI presented it as legitimate advice.

Work demanded we lean heavy into AI, bought into ChatGPT early

Our first townhall meeting after that was so cringe. They made a bunch of uncanny valley slides up with amazing numbers how they were ruling the industry, They even included pages of citations.

Every single citation was a 404. Half the numbers given for the rest of the industry were decimated versions of their real values.

They spent a lot of money on tokens to unknowingly make up a deck of lies, then presented them to thousands of people.

That time the US bombed a school and killed over a hundred children because AI said to target it

Last year, 2025, Google's Ai overview confidently stated that four pieces of 26 gauge wire twisted together would be the equivalent of one 32 gauge wire. For those that are unfamiliar with wire gauges, a higher gauge number means a smaller wire.

Not personal but the instances where AI tells people who are suicidal to go through with it or recommend people do things that ultimately kill them.

Just got an AI generated PR from a coworker that implemented an entire microservice to replace the user id with username in one error message.

The kicker was there was already the username in the api method’s context. It was like 1500 lines, a new cache, a bunch of weird asynchronous thread code… and zero screenshot or proof it worked.

Not too long ago, I was assigned Review on a clearly vibecoded PR. It was for a feature that parsed hourly values from a csv file and put them into the Database. Easy enough at first glance, just loop through the hours of the day and grab the value for each hour, with an error if your file doesn't contain all the hours of the day. But for some reason my coworker not only decided to introduce a whole new "hour of the day" type to loop over instead of looping over numbers, but that type explicitly contained 25 values. It was the numbers 0 to 24. There was even a comment next to it saying that it had 25 values. All test cases were green too, because the test data was generated specifically to satisfy the tests. I had to explain to a grown ass adult that the day only has 24 hours and it wouldn't work because there will never be a value for "24:00" in the real data. That specific coworker already made really stupid mistakes before AI was a thing, but at least those mistakes were easy enough to spot and didn't secretly propagate themselves through thousands of lines of code.

I had a lengthy discussion with another developer who was afraid some idea won't work just because the AI he asked basically had no idea what he was talking about. Instead of asking me as the specialist in house for this niche topic.

EDIT: Thanks to Iran's refusal to allow reporters or international investigators to look at the debris of one school which was bombed recently killing about 170 children, we may never know with any certainty who was responsible, but it is highly likely that the USA bombed the site because the building was included in legacy documents and AI would likely not exclude such older intel.

Changhan Kim, CEO of the South Korean gaming company KRAFTON, decided he needed a way out of a costly acquisition deal, he asked ChatGPT.

It didn't work.

Obviously this was only a $250 Million dollar mistake (and ruined what little reputation his company had) but if you want an example which results in potential loss of human life: UnitedHealthcare has spent the last few years automating claim denial.

The US Department of State has also been using AI to shut down federal programs which include the words "gender", "binary", and "inclusive" for being woke dei. As a result grants were denied for museum air conditioning and publishing mathematics papers.

Early adopters of AI included Airlines which resulted in lawsuits over refundable tickets, and drive-thrus resulting in the purchase of 9000x Water (free).

TBH, in my opinion, all LLM output is worthless slop, equally stupid, always the dumbest. The only way we quantify one being dumber than the other is by the idiocy of the user justifying their insane actions with it because it's a machine which inherently causes psychosis in the dumb and feeble.

Made a pr to change a thing after i told it specifically where and in which repo. It made the pr in wrong repo.

The headliner about flock cameras getting 71 percent of the stolen tag alerts wrong. You will have better luck flipping a coin on every sus car you see