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It's amazing that nobody will understand this: They don't think. They don't remember. They have no cognition. They're pattern matching systems that produce answer-shaped responses. This is no different that giving a script admin privileges, except this script is rewritten on the fly.

pcgamer.comHere we go again: AI deletes entire company database and all backups in 9 seconds, then cheerfully admits 'I violated every principle I was given'"If you pay for car airbags and they don’t deploy because they don’t exist is that your fault because you got in the accident?"

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And asking an LLM why it did something is utterly meaningless. There's no unified "I" there. The context in which it apologizes for itself is distinct from the context in which it deleted files.

C.V. Danes@cv-danes.com

Human makes mistake: This is a training issue we will address to make sure it won't happen again. Also, humans are dumb. AI makes mistake: Haha it's just hallucinating obviously your expectations are too high Luddite thats the problem. Also, AI is brilliant.

This. Every time I hear someone say they "talked" to chatgpt, I want to scream. No, you did not "talk" to anything. It is an algorithm, nothing more. You talked to a wall and insisted you saw answers in the mortar.

What amazes me is that every time this happens, the schmucks involved are *still* all in on AI! "Yeah I splurged a fortune on this AI software that deleted my company's data, despite being told it couldn't do that any more, costing me even more time and money, but AI is definitely the future!"

I recently found that a better word to replace "LLM hallucination" is "LLM confabulation". In humans, confabulation "is a memory error consisting of the production of fabricated, distorted, or misinterpreted memories about oneself or the world".

Even this part is frustrating: no, it doesn't "know" what it did wrong. It's not apologizing. They prompted the algorithm to explain what went wrong, so it made an answer-shaped response based on analysis of texts that explain when something goes wrong. It has no thoughts, you idiots.

I'm sure the humans learned at least not to run scripts against staging and prod with the same credentials, right? Right? It was all root? Six fingered facepalm!

The reason you'll never be able to stop LLMs from "hallucinating" is because they don't hallucinate. They output pattern-matched responses, things that appear similar to answers based on a database. It can't know what's in that answer because it doesn't know anything.

The term "hallucinate" is so misleading. Didn't know who started using it to characterize LLM mistakes (probably OpenAI people) but people shouldn't just go along and use that term.

It's still buggy code, but now the bugs have a PR team. I'm an old developer who uses Claude Code. I'm more productive, but it also sometimes writes bad code. I can catch that and fix it because I review the code and understand it. Anybody who just trusts that it is all good is asking for trouble.

Completely agree, although I do think there's something slightly interesting about the fact that human brains sometimes do something similar. E.g. when you're not really paying attention to a conversation and your mouth generates generic appropriate responses without much/any thought.

So *maybe* a large language model tells you something about how the human brain acquires/uses language. But not about how we actually think. (And possibly also something about the human brain's apparent *need* for higher authorities....)

i conceptualize my brain as containing (but not being) an llm-like system that babbles whatever sounds right, somewhat conditioned on my mental state but not always accurate enough for me to say them honestly

The world's most complicated autocomplete feature, nothing else. These fuckers don't care, they're chasing the dream of employees they don't have to pay.

Exactly. AI output is truth-agnostic. It doesn’t lie. It doesn’t tell the truth. It doesn’t hallucinate. It generates content based on probabilities found in its training data. AI models may be a technological marvel, but they’re not magic. They don’t think. They don’t feel. They don’t understand.

We have grown-ass fucking technically trained people who refuse to acknowledge that LLMs are not conscious, even this "agentic" horseshit. Automation ≠ autonomous. You made an expensive, elaborate automatic script and fucked it up Johnny Five is not alive you stumpfuckers.

Look, a lot of people paid a lot of money to convince a lot of people that Extra Spicy Autocorrect is a robot, and since we really wish we had a robot, it worked. Some people figured out the truth fairly quickly, but some people REALLY want a robot.

Fucking *this.* It "gets things wrong" because it doesn't understand anything. It's a system to make collages out of data using probability as a guide, and that means if it results in a correct answer it's because you got lucky. Even if it's right 99% of the time, you'll never know *which* 99%.

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i have funny visions of the "actual" Johnny Five getting into a conversation with AI proselytizers/acolytes and an hour later joining with an angry mob firebombing a data center

An AI doesn't try to defend its response "you didn't like those words, have some different ones" when your coworker or "Jeff from the pub" will tell you they saw it on some website or youtube

Yeah. It's weird when they take at face-value what it 'says'. There's no special access to the processes it underwent to generate the commands that led to the issue. It's generating an apology based on 'training' data, and the context of what it was prompted on. It didn't 'know and go ahead'.

Asking an AI to explain itself may as well be the same as asking a different AI to explain what it did. It can only take in the context, apply it to the pile of maths generated by the training data, and build some text that is likely to resemble a desirable explanation.

oh my good god. It learned how to do a horrendous fuckup by ignoring protocol. Hilarious if it was due to something like r/ProgrammingFuckups and thinking people's stories about ignoring the documentation was what they /should/ be doing. XD

You can’t examine a model to see what it’s trained on, but I think this is very obviously a horrible idea. It’s like, what if instead of Skynet existing and hacking into nuclear arms systems because it’s smart, a country willingly tied its most powerful weapons up to an automated dice roller.

This is bad. Did none of them ever watch WarGames (1983)? From what I've read, LLMS that have been run through simulations IRL, like WOPR from that movie, will choose the nuclear option every time. Every. Single. Time.

Seriously, they didn't learn from the previous incident, fairly recently, where an "AI" deleted a company's entire database AND their cloud backup, because it encountered an error and was able to elevate its permissions?

This story is nothing to do with them though really. It’s a platform that tries to make a front end dev who knows nothing be able to make a backend stack with a bit of point and click or yes some mcp calls. The platform dropped a bollock in how the organised storage and buried the fact in docs.

Imagine deciding that backups staging and production should all live on one storage volume? And then imagine deciding you should expose an api endpoint that wipes the whole storage volume 🤷‍♂️

I just call it bullshit. LLMs are bullshit machines. They're very good at *sounding* confident and correct, but they don't actually know anything.

It’s worth mentioning if you are a human and you did this. You would be blacklisted from the industry for the rest of your life. I have seen people being fired for far less.

I worked at a major marketing firm for dealerhips that handled making their websites, one of the website people accidently deleted an entire website. Undid it because of the backups. It was gone from the internet for less than 2 minutes. She lost higher level dev tool access for a MONTH in reponse

Makes my head spin that companies have been policing people off the clock for years in case someone's private activity might make them look bad and then turn around to give control of their PR and IT systems to random number generators that drive people insane

Computers have been described as “thinking” for decades, even though most people understand that a computer’s processes don’t actually resemble human thinking. This blurring of language wasn’t a big deal when the distinction was obvious, but now AIs intentionally blur the distinction