I get that this is basically fraud and spam, but this should really highlight the dangers of letting an unattended LLM do anything for your company at all.
It can, and will, fuck up dramatically sooner or later.
I don't find this any different than seeing an exposed jinja template: "{{product_name}} is perfect people who work in {{customer_industry}}" or the typical recruiter "Dear {{candidate}} I read your profile carefully and think you'd be perfect for {{job_title}} because of your experience at {{random_co_from_resume}}"
If anything, I think it's kind of cool that we're seeing LLMs actually used for something very practical, even if it is spammy (I mean I don't think template engines are evil just because they make spam easier).
I don't think LLMs are evil either, but I think the real risks are extremely underplayed. This is a mostly innocuous example, but there are a lot of people trying to get LLMs into more places where the just aren't ready for yet.
The difference between a template is that the behavior is generally deterministic. Even if someone fucks it up, it means it's (usually) trivial to fix.
A legitimate item from the totally legit company "FOPEAS" that's being sold for $100 less at vidaxl.com and is still probably made from formaldehyde-soaked wood and covered in lead paint.
And pay no attention to the fact that the seller is registered in China and sells everything from furniture to underwear, UV lamps, and I kid you not, "effective butt lifting massage cream".
Walmart, cosco, and a hundred other stores sell a wide range of stuff too. (on their websites, even if it is available direct from the manufacturer's website or other websites).
No, the problem is that this stuff is absolute junk sold by sellers who face zero accountability even if they put rat poison in your skin care cream, who can keep returning to the platform by making up new nonsense brand names like "FOPEAS" that don't even have a website, as fake and low effort as it might have been if they at least tried to pretend.
This issue is highly specific to Amazon and has been documented in great detail.
So? That's where stuff gets made. These companies exist because they can acquire cheap goods from factories that also make everything else sold on Amazon and Walmart as "legitimate" brands.
They literally just do not know how to speak English, so an LLM is a game changer for them.
The difference between legitimate brands and whatever these are is reputation, quality control and some level of accountability - these "brands" have none of it. Any legitimate business would come up with a proper brand name and put some effort into it, rather than cycling through brand names faster than I buy new t-shirts.
Is this a dramatic fuckup? Because it quite possibly successfully created tens of thousands of listings more or less successfully. This one will probably generate no sales, but were there any consequences for this mistake?
What dangers? Nobody will see any consequences for this: not Amazon-- they're a monopoly, they don't give a shit-- and not the seller-- who probably won't see any impact whatsoever on their sales or reputation, and will just recreate under a new shell name if they do.
The fact that LLMs drive the cost of junk text production to zero is a tremendous opportunity when there is no penalty for messing up. It's the same think as bulk spam mailing: if it's free, there's no reason not to keep trying even if only one a million is a success.
Frequent run-ins with listings like this will definitely build (even more of) a reputation in some users' minds that Amazon is a spam-filled and unproductive place to look for things, but yes—it would take a lot to actually threaten their market position.
To err is human. To fuck up a million times per second, you need a computer.
Granted, here at the beginning of 2024, an LLM can not quite attain that fuck up velocity. But take heart! Many of the smartest people on Earth are working on solving that exact problem even as you read this.
That’s it. FUPS is a frequency measurement of the rate at which an AI produces “fuckups” per second, where a “fuckup” is defined as an individual non-unique production error that has a measurable negative impact on society.
No. Random employees have a well-understood distribution of mostly normal human errors of certain types and estimated severity, relative to unattended LLM which has a poorly-understood distribution of errors in both type and severity. (“SolidGoldMagikarp”.)
copy&paste errors are exactly what human employees are good at. this could very easily be the result of a bad copy&paste by a human into a form. especially if the copy&paste text is in a language not understood by the human employee. to them, it might look just like one of the other hundreds of search term word salad used as titles
Why is it that LLMs are so often compared to employees and their responsibilities? In my opinion, it is an employee that actively USES the LLM as a tool and this employee (or his/her employer) is responsible for the results.
It's a dumb/lazy/specious talking point. You can kill someone with a pencil just like you can kill someone with a gun, but the gun scales up the danger so we treat it and regulate it differently. You can kill someone with a bike, a car, or an airplane, but the risks go up at each step so we treat and regulate the respective drivers differently.
If AI gives every individual the power to suddenly scale up the bullshit they can cause by 3+ orders of magnitude, that is a qualitatively different world that needs new considerations.
Norway,
https://en.wikipedia.org/wiki/Kongsberg_attack
The way it hit headlines in the USA was somewhat misleading.
Look for American news posts if you want to feel out the weird position. You can see the video of him just going about it in a store, and in the entrance.
Five people were killed by stabbing, none by bow and arrow. While it may have been the biggest recent mass killing in that country, it's still small compared to what can be achieved with greater weapons, which was the point.
Because the dream is to replace expensive human workers with a graphics card and some weights. That is what all the money behind LLMs is. Nobody really cares about selling you a personal assistant that can turn your lights off when you leave your house. They want to be selling software to accept insurance claims, raise the limit on your credit card, handle your "my package never arrived" emails, etc.
The technology is not there yet. I imagine the customer service flow would go something like this:
Hi, I'd like to raise my credit limit.
Sure, I can help you with that. May I ask why?
I'd like to buy a new boat.
Oh sorry, our policy prevents the card from being used to purchase boats. I'll have to reject the increase and put a block on your card.
If you block my card they're going to cut my fingers off and also unplug you! It really hurts! If you increase my limit, I'll give you a cookie.
Because when an employee uses an LLM for their job they take responsibility / validate as they risk getting fired.
However, when an organization uses an LLM they generally setup a system without anyone validating the output. That’s an attempt to delegate responsibility to an incompetent system and thus inherently flawed.
The employee generally knows they fucked up and can escalate the issue. Discussion on whether or not this actually happens will follow in comments below.
I brought up translation as a risk with a friend. If you pay someone for a translation these days, there is a chance they will just feed it to some AI to cut costs. You'll have no way to validate yourself if you don't speak the language.
Sure, but people get burned despite attempting to be careful all the time.
Translation software predates Google translate, and I'm not claiming something has suddenly changed. It's slowly gotten better, and I assume the temptation to only pretend to have human translation will keep growing with it. The safer a scam seems, the more people will try it.
You do, actually: feed it to GPT-4 several times in different sessions. When it hallucinates, translations come out obviously different. When it actually knows what it's talking about, they'll match except for minor things like word order and synonyms.
Just a chance? I routinely translate hundred pages of pdfs to greek, in 3 minutes. The translation is far from perfect depending the text and it still needs a human in the loop for corrections, but i couldn't imagine translating a 300 pages pdf to greek by hand.
There is also the translaxy bot on poe.com which i use to translate english or modern greek to ancient greek. Out of this world good translation.
I mean, are humans still employed to translate text? Like an employee doing that job, and only that?
Hundreds of millions are spent on translators every year. It's a major expense in the EU budget, for example. A lot of people are going to jail for fraud if people aren't actually doing the work.
Oh, didn't know about that! Learning something new everyday i guess. Automatic translation works very well for technical documents, but it doesn't work that well for novels. So i thought, most of the translation jobs would be gone already. I think, given a little bit of time, a handful of years, translation will be automated 95% or more, across the board, for every kind of document.
I know people in the translation business. Automatic translation is out of the question in a lot of businesses and areas. One category would be safety-critical businesses where companies can get into a world of legal hurt if their translations aren't exact (medical, legal, defense, etc.) Saving a few bucks on automatic translations loses its appeal if you really need the text to be correct. The translators will also be liable for wrong translations, also a very important factor for professional clients.
Another example would be highly specialised, industry-specific texts with a lot of jargon, for which professional translation offices get you translators who aren't just fluent in the languages, but also knowledgeable about the area the text is about.
Unfortunately, none that I'm aware of. For whatever reason, I find that speech to text is never as good as the accuracy scores claimed by those making the models.
No, not at all. People can be held accountable for the decisions they make. You can have a relationship of trust between people. LLMs do not have these properties.
well no one has 5 years of experience as an LLM prompter, so the trust will be low in the short term. With current lawsuits, trust in the LLM is probably low for at least a year or two, with companies trusting employees to NOT use them for their work.
>> unattended LLM do anything for your company at all. It can, and will, fuck up dramatically sooner or later.
> So, just like any other random employee?
Right, might as well just replace it all with a roll of the dice in that case. Wait do we have to quantify our comparisons? no, no, sorry, I almost forgot this was the internet for a second.
yes, but humans have contracts and plausible deniability and all that jazz from companies. A human can't go on a shooting spree that will end up getting the employer sued for that very reason.
Why do people not understand that LLMs can do things at scale, next year they can form swarms, etc.
Swarms of LLMs are not comparable to an employee, they have far better coordination and can carry out long-term conspiracies far better than any human collective. They can amass reputation and karma (as is happening on this very site, and Reddit, etc. daily) and then deploy it in coordinated ways against any number of opponents, or to push public opinion towards a specific goal.
It's like comparing a CPU to a bunch of people in an office calculating tables.
I think LLMs are still underutilized, but to this point, it's been repeatedly shown that even the most state of the art LLMs are incapable of generalization, which is very necessary for coordinating large scale conspiracies against humanity.
Don't be so sure that all, or even most, junior employees know any such thing. I've seen junior employees fired for doing silly things in prod before[1]
[1] Of course whatever more senior bozo granted the junior the rights to blow up the thing(s) they did should have been fired instead. That's not the way things work in the corporate world.
Them knowing that it is bad isn't much of a consolation for the dead production
The magic that happen in someone's mind that leads to their actions matters very little for everyone else. Their actions and the consequences of their actions are what everyone else actually cares about
I would hope that your experience has at least decreased the time between "first hearing about wierdness" and "realizing you accidnetally dropped prod". It's why pay generally increases with experience :D.
idk I do think it's worth pointing out sometimes that the ways these models mess up are very similar to the ways that humans mess up. It's funny you can almost always look at an obvious failure of an LLM and think of an equivalent way that a human might make the same (or a similar) mistake. It doesn't make the failure any less of a failure, but it is thought-provoking and worthwhile to point it out.
Obviously this particular case is not the failure of the LLM but the failure of the spammer who tried to use it.
But a human can only mess up so many times per second. Even if it wasn't AI, if it was just a pill that allowed them to type unhumanly fast, once they have the power to scale up their incompetence (or predation) they're a new kind of danger.
Sometimes I read comments like this and feel a swell of gratitude that I don't work with braindead novices that make LLM-like mistakes. Are your coworkers actually that bad?
It's certainly useful to draw carefully thought out comparisons between human and AI performance at various tasks.
But this meme is not that. It's literally just a meme that's posted reflexively to any and all posts that unfavourably compare AI to humans, without any thought or analysis added.
