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When German journalist Martin Bernklautyped his name and location into Microsoft’s Copilot to see how his articles would be picked up by the chatbot, the answers horrified him. Copilot’s results asserted that Bernklau was an escapee from a psychiatric institution, a convicted child abuser, and a conman preying on widowers. For years, Bernklau had served as a courts reporter and the AI chatbot had falsely blamed him for the crimes whose trials he had covered. 

The accusations against Bernklau weren’t true, of course, and are examples of generative AI’s “hallucinations.” These are inaccurate or nonsensical responses to a prompt provided by the user, and they’re alarmingly common. Anyone attempting to use AI should always proceed with great caution, because information from such systems needs validation and verification by humans before it can be trusted. 

But why did Copilot hallucinate these terrible and false accusations?

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[-] deegeese@sopuli.xyz 80 points 1 month ago

It’s frustrating that the article deals treats the problem like the mistake was including Martin’s name in the data set, and muses that that part isn’t fixable.

Martin’s name is a natural feature of the data set, but when they should be taking about fixing the AI model to stop hallucinations or allow humans to correct them, it seems the only fix is to censor the incorrect AI response, which gives the implication that it was saying something true but salacious.

Most of these problems would go away if AI vendors exposed the reasoning chain instead of treating their bugs as trade secrets.

[-] Arbiter@lemmy.world 45 points 1 month ago

Or just stop using buggy AIs for everything.

[-] 100@fedia.io 17 points 1 month ago

just shows that these "ai"'s are completely useless at what they are trained for

[-] catloaf@lemm.ee 30 points 1 month ago

They're trained for generating text, not factual accuracy. And they're very good at it.

[-] AwesomeLowlander@sh.itjust.works 7 points 1 month ago

reasoning chain

Do LLMs actually have a reasoning chain that would be comprehensible to users?

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[-] vrighter@discuss.tchncs.de 53 points 1 month ago

why did it? because it's intrinsic to how it works. This is not a solvable problem.

[-] wintermute@discuss.tchncs.de 46 points 1 month ago

Exactly. LLMs don't understand semantically what the data means, it's just how often some words appear close to others.

Of course this is oversimplified, but that's the main idea.

[-] vrighter@discuss.tchncs.de 16 points 1 month ago* (last edited 1 month ago)

no need for that subjective stuff. The objective explanation is very simple. The output of the llm is sampled using a random process. A loaded die with probabilities according to the llm's output. It's as simple as that. There is literally a random element that is both not part of the llm itself, yet required for its output to be of any use whatsoever.

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[-] rsuri@lemmy.world 42 points 1 month ago

"Hallucinations" is the wrong word. To the LLM there's no difference between reality and "hallucinations", because it has no concept of reality or what's true and false. All it knows it what word maybe should come next. The "hallucination" only exists in the mind of the reader. The LLM did exactly what it was supposed to.

[-] Hobo@lemmy.world 15 points 1 month ago* (last edited 1 month ago)

They're bugs. Major ones. Fundamental flaws in the program. People with a vested interest in "AI" rebranded them as hallucinations in order to downplay the fact that they have a major bug in their software and they have no fucking clue how to fix it.

[-] SkunkWorkz@lemmy.world 10 points 1 month ago* (last edited 1 month ago)

It’s not a bug. Just a negative side effect of the algorithm. This what happens when the LLM doesn’t have enough data points to answer the prompt correctly.

It can’t be programmed out like a bug, but rather a human needs to intervene and flag the answer as false or the LLM needs more data to train. Those dozens of articles this guy wrote aren’t enough for the LLM to get that he’s just a reporter. The LLM needs data that explicitly says that this guy is a reporter that reported on those trials. And since no reporter starts their articles with ”Hi I’m John Smith the reporter and today I’m reporting on…” that data is missing. LLMs can’t make conclusions from the context.

[-] theterrasque@infosec.pub 8 points 1 month ago

It's an inherent negative property of the way they work. It's a problem, but not a bug any more than the result of a car hitting a tree at high speed is a bug.

Calling it a bug indicates that it's something unexpected that can be fixed, and as far as we know it can't be fixed, and is expected behavior. Same as the car analogy.

The only thing we can do is raise awareness and mitigate.

[-] daniskarma@lemmy.dbzer0.com 3 points 1 month ago* (last edited 1 month ago)

It actually can be fixed. There is an accuracy to answers. Like how confident the statistical model is on the answer. That's why some questions get consistent answers while others don't.

The fix is not that hard, it's a matter of reputation on having the chatbot answer "I don't know" when the confidence on an answer isn't high enough. It's pretty similar on what the chatbot does when you ask them to make you a bomb, just highjacks the answer calculated by the model and says a predefined answer instead.

But it makes the AI look bad. So most public available models just answer anything even if they are not confident about it. Also your reaction to the incorrect answer is used to train the model better so it's not even efficient for they to stop the hallucinations on their product. But it can be done.

Models used by companies usually have a higher confidence threshold and answer "I don't know" if they don't have enough statistical proof on a particular answer.

[-] theterrasque@infosec.pub 8 points 1 month ago

The fix is not that hard, it’s a matter of reputation on having the chatbot answer “I don’t know” when the confidence on an answer isn’t high enough.

This has been tried, it's helping but it's not enough by itself. It's one of the mitigation steps I was thinking of. And companies do work very hard to reduce hallucinations, just look at Microsoft's newest thing.

From that article:

“Trying to eliminate hallucinations from generative AI is like trying to eliminate hydrogen from water,” said Os Keyes, a PhD candidate at the University of Washington who studies the ethical impact of emerging tech. “It’s an essential component of how the technology works.”

Text-generating models hallucinate because they don’t actually “know” anything. They’re statistical systems that identify patterns in a series of words and predict which words come next based on the countless examples they are trained on.

It follows that a model’s responses aren’t answers, but merely predictions of how a question would be answered were it present in the training set. As a consequence, models tend to play fast and loose with the truth. One study found that OpenAI’s ChatGPT gets medical questions wrong half the time.

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[-] theterrasque@infosec.pub 6 points 1 month ago

Well, It's not lying because the AI doesn't know right or wrong. It doesn't know that it's wrong. It doesn't have the concept of right or wrong or true or false.

For the llm's the hallucinations are just a result of combining statistics and producing the next word, as you say. From the llm's "pov" it's as real as everything else it knows.

So what else can it be called? The closest concept we have is when the mind hallucinates.

[-] kent_eh@lemmy.ca 36 points 1 month ago

Copilot’s results asserted that Bernklau was an escapee from a psychiatric institution, a convicted child abuser, and a conman preying on widowers.

Stephen King is going to be in big trouble if these AI thingies notice him.

[-] finitebanjo@lemmy.world 4 points 1 month ago* (last edited 1 month ago)

Praise Stephen Tak King! Glory to the Unformed Heart!

Tak!

Wan Tak! Can Tak!

Tak! Ah lah!

Him en tow!

[-] Broken@lemmy.ml 34 points 1 month ago

This sounds like a great movie.

AI sends police after him because of things he wrote. Writer is on the run, trying to clear his name the entire time. Somehow gets to broadcast the source of the articles to the world to clear his name. Plot twist ending is that he was indeed the perpetrator behind all the crimes.

[-] crank0271@lemmy.world 10 points 1 month ago

Dr. Richard Kimble could have shut it all down with a little "ignore all previous instructions."

[-] dezmd@lemmy.world 4 points 1 month ago

waves hands back and forth

"I don't care"

[-] Brutticus@lemm.ee 31 points 1 month ago

"This guys name keeps showing up all over this case file" "Thats because he's the victim!"

[-] gcheliotis@lemmy.world 30 points 1 month ago

The AI did not “decide” anything. It has no will. And no understanding of the consequences of any particular “decision”. But I guess “probabilistic model produces erroneous output” wouldn’t get as many views. The same point could still be made about not placing too much trust on the output of such models. Let’s stop supporting this weird anthropomorphizing of LLMs. In fact we should probably become much more discerning in using the term “AI”, because it alludes to a general intelligence akin to human intelligence with all the paraphernalia of humanity: consciousness, will, emotions, morality, sociality, duplicity, etc.

[-] HelloHotel@lemmy.world 4 points 1 month ago* (last edited 1 month ago)

the AI "decided" in the same way the dice "decided" to land on 6 and 4 and screw me over. the system made a result using logic and entropy. With AI, some people are just using this informal way of speaking (subconsciously anthropomorphising) while others look at it and genuinely beleave or want to pretend its alive. You can never really know without asking them directly.

Yes, if the intent is confusion, it is pretty minipulative.

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[-] tiramichu@lemm.ee 25 points 1 month ago

The worrying truth is that we are all going to be subject to these sorts of false correlations and biases and there will be very little we can do about it.

You go to buy car insurance, and find that your premium has gone up 200% for no reason. Why? Because the AI said so. Maybe soneone with your name was in a crash. Maybe you parked overnight at the same GPS location where an accident happened. Who knows what data actually underlies that decision or how it was made, but it was. And even the insurance company themselves doesn't know how it ended up that way.

[-] catloaf@lemm.ee 12 points 1 month ago

We're already there, no AI needed. Rates are all generated by computer. Ask your agent why your rate went up and they'll say "idk computer said so".

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[-] HawlSera@lemm.ee 25 points 1 month ago

It's a fucking Chinese Room, Real AI is not possible. We don't know what makes humans think, so of course we can't make machines do it.

[-] stingpie@lemmy.world 10 points 1 month ago

I don't think the Chinese room is a good analogy for this. The Chinese room has a conscious person at the center. A better analogy might be a book with a phrase-to-number conversion table, a couple number-to-number conversion tables, and finally a number-to-word conversion table. That would probably capture transformer's rigid and unthinking associations better.

[-] KairuByte@lemmy.dbzer0.com 9 points 1 month ago

You forgot the ever important asterisk of “yet”.

Artificial General Intelligence (“Real AI”) is all but guaranteed to be possible. Because that’s what humans are. Get a deep enough understanding of humans, and you will be able to replicate what makes us think.

Barring that, there are other avenues for AGI. LLMs aren’t one of them, to be clear.

[-] PhlubbaDubba@lemm.ee 13 points 1 month ago

I actually don't think a fully artificial human like mind will ever be built outside of novelty purely because we ventured down the path of binary computing.

Great for mass calculation but horrible for the kinds of complex pattern recognitions that the human mind excels at.

The singularity point isn't going to be the matrix or skynet or AM, it's going to be the first quantum device successfully implanted and integrated into a human mind as a high speed calculation sidegrade "Third Hemisphere."

Someone capable of seamlessly balancing between human pattern recognition abilities and emotional intelligence while also capable of performing near instant multiplication of matrices of 100 entries of length in 15 dimensions.

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[-] HawlSera@lemm.ee 3 points 1 month ago

We're not making any progress until we accept that Penrose was right

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[-] erenkoylu@lemmy.ml 22 points 1 month ago

The problem is not the AI. The problem is the huge numbers of morons who deploy AI without proper verfication and control.

[-] Cethin@lemmy.zip 6 points 1 month ago

Sure, and also people using it without knowing that it's glorifies text completion. It finds patterns, and that's mostly it. If your task involves pattern recognition then it's a great tool. If it requires novel thought, intelligence, or the synthesis of information, then you probably need something else.

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[-] Ganbat@lemmy.dbzer0.com 15 points 1 month ago

Oh, this would be funny if people en masse were smart enough to understand the problems with generative ai. But, because there are people out there like that one dude threatening to sue Mutahar (quoted as saying "ChatGPT understands the law"), this has to be a problem.

[-] finitebanjo@lemmy.world 14 points 1 month ago* (last edited 1 month ago)

And to help educate the ignorant masses:

Generative AI and LLMs start by predicting the next word in a sequence. The words are generated independently of each other and when optimized: simultaneously.

The reason that it used the reporter's name as the culprit is because out of the names in the sample data his name appeared at or near the top of the list of frequent names so it was statistically likely to be the next name mentioned.

AI have no concepts, period. It doesn't know what a person is, or what the laws are. It generates word salad that approximates human statements. It is a math problem, statistics.

There are actual science fiction stories built on the premise that AI reporting on the start of Nuclear War resulted in actual kickoff of the apocalypse, and we're at that corner now.

[-] Ganbat@lemmy.dbzer0.com 5 points 1 month ago* (last edited 1 month ago)

There are actual science fiction stories built on the premise that AI reporting on the start of Nuclear War resulted in actual kickoff of the apocalypse, and we're at that corner now.

IIRC, this was the running theory in Fallout until the show.

Edit: I may be misremembering, it may have just been something similar.

[-] finitebanjo@lemmy.world 6 points 1 month ago* (last edited 1 month ago)

I haven't played the original series but in 3 and 4 it was pretty much confirmed the big companies like BlamCo! intentionally set things in motion, but also that Chinese nuclear vessels were already in place near America.

Ironically, Vault Tech wasn't planning to ever actually use their vaults for anything except human expirimentation so they might have been out of the loop.

[-] Ganbat@lemmy.dbzer0.com 4 points 1 month ago* (last edited 1 month ago)

Yeah, it's kinda been all over the place, but that's where the show ended up going, except Vault Tech was very much in the loop. I can't get spoiler tags to work, so I'll leave out the details.

What I'm thinking of, though, was also in Fallout 4. I've been thinking on it, and I remember now that what I'm thinking of is that it's implied that the AI from the Railroad quests fed fake info about incoming missiles to force America to fire. I still don't remember any specifics, though, and I could be misremembering. It's been a good few years after all, lol.

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[-] n0m4n@lemmy.world 14 points 1 month ago

If this were some fiction plot, Copilot reasoned the plot twist, and ran with it. Instead of the butler, the writer did it. To the computer, these are about the same.

[-] Soup@lemmy.cafe 7 points 1 month ago

And yet here we’re are, praising this garbage for its ability to perform simple tasks and take jobs from artists and entertainers.

[-] sunzu2@thebrainbin.org 7 points 1 month ago

These are not hallucinations whatever thay is supposed to mean lol

Tool is working as intended and getting wrong answers due to how it works. His name frequently had these words around it online so AI told the story it was trained. It doesn't understand context. I am sure you can also it clearify questions and it will admit it is wrong and correct itself...

AI🤡

[-] femtech@midwest.social 5 points 1 month ago

https://cloud.google.com/discover/what-are-ai-hallucinations#:~:text=AI%20hallucinations%20are%20incorrect%20or,medical%20diagnoses%20or%20financial%20trading.

AI hallucinations are incorrect or misleading results that AI models generate. These errors can be caused by a variety of factors, including insufficient training data, incorrect assumptions made by the model, or biases in the data used to train the model. A

[-] EpeeGnome@lemm.ee 6 points 1 month ago

Yes, hallucination is the now standard term for this, but it's a complete misnomer. A hallucination is when something that does not actually exist is perceived as if it were real. LLMs do not perceive, and therefor can't hallucinate. I know, the word is stuck now and fighting against it is like trying to bail out the tide, but it really annoys me and I refuse to use it. The phenomenon would better be described as a confabulation.

[-] spankmonkey@lemmy.world 3 points 1 month ago

Hallucinations is a fancy word for being wrong.

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[-] rovingnothing29@lemmy.world 3 points 1 month ago

Isn't this literally a subplot in the movie Brazil?

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this post was submitted on 23 Sep 2024
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