This seems really short-sighted. Why would I go to How Stuff Works when I can just ask the LLM myself?
Maybe there’s just no possible business model for them anymore with the advent of LLMs, but at least if they focused on the “actually written by humans!” angle there’d be some hook to draw people in.
The thing is, the LLM doesn’t actually know anything, and lies about it.
So you go to How Stuff Works now, and you get bullshit lies instead of real information, you’ll also get nonsense that looks like language at first glance, but is gibberish pretending to be an article. Because sometimes the language model changes topics midway through and doesn’t correct, because it can’t correct. It doesn’t actually know what it’s saying.
See, these language models are pre-trained, that the P in chatGPT. They just regurgitate the training data, but put together in ways that sort of look like more of the same training data.
There are some hard coded filters and responses, but other than that, nope, just a spew of garbage out from the random garbage in.
And yet, all sorts of people think this shit is ready to take over writing duties for everyone, saving money and winning court cases.
Yeah, this is why I can’t really take anyone seriously when they say it’ll take over the world. It’s certainly cool, but it’s always going to be limited in usefulness.
Some areas I can see it being really useful are:
- generating believable text - scams, placeholder text, and general structure
- distilling existing information - especially if it can actually cite sources, but even then I’d take it with a grain of salt
- trolling people/deep fakes
That’s about it.
generating believable text - scams, placeholder text, and general structure
LLM generated scams are going to such problem. Quality isn’t even a problem there as they specifically go for people with poor awareness of these scams, and having a bot that responds with reasonable dialogue will make it that much easier for people to buy into it.
AI tools can be very powerful, but they usually need to be tailored to a specific use case by competent people.
With LLMs it seems to be the opposite, where people not competent for ML are applying it for the broadest of use cases. Just that it looks so good they are easily fooled and lack the understanding to realize the limits.
But there is a very important Usecase too:
Writing stuff that is only read and evaluated by similiar AI tools. It makes sense to write cover letters with ChatGPT because they are demanded but never read by a human on the other side of the job application. Since the weights and stuff behind it serm to be similiar, writing it with ChatGPT helps to pass the automatic analysis.
Rationally that is complete nonsense, but you basically need an AI tool to jump through the hoops made by an AI tool applied by stupid people who need to make themselves look smart.
Here is an alternative Piped link(s): https://piped.video/watch?v=oqSYljRYDEM
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source, check me out at GitHub.
I’ve graded papers from students who obviously used chatGPT to write them. They were a pass at best. Zero critical synthesis of ideas and application of them to the topic. I’m sure chatGPT has its uses but people really overhype its writing ability. There’s more to writing than putting words in the right places.
It could be AI sport when we actually have an general purpose AI. That based on people working on llm and gpt, would take between 6 years and never happening.
It’s not easy to create a super ai who’s realistically smarter than humans in every aspect.
I mean I would say maybe “regurgitating their training data” is putting it a bit too simple. But it’s true, we’re currently at the point where the AI can mimic real text. But that’s it - no one tells it not to lie rn, the programmatic goal of the AI is to get indistinguishable from real text with no bearing on the truthfulness of the information whatsoever.
Basically we train our AIs to pretend to know, not to know. And sometimes it’s good at pretending, sometimes it isn’t.
The “right” way to handle what the CEOs are doing would be to let go of a chunk of the staff, then let the rest write their articles with the help of chatgpt. But most CEOs are a bit too gullible when it comes to the abilities of AI.
The thing is, the LLM doesn’t actually know anything, and lies about it.
Just like your average human journalist. If you ever read an article from not specialist journal on a topic you are familiar with - you know. This seems actually where LLM are very similar to how human brain works - if we don’t know something, we come up with some bullshit.
Even medium human writers can comprehend their work as a whole, though. There is a cohesiveness even to the bullshit. The LLM is just putting words down that match the prompt. It’s rng driven, readable Lorum Ipsum.
If the results were still edited afterwards, there may be some merit to the output, but any company going full LLM isn’t looking for quality. They want to use it to churn out endless content that they simply can’t get from even a team of humans. More than could be edited even if they kept editors on staff.
So modern journalists were redundant all along?
But yeah, the quality of what is passing as journalism now is often ridiculous. But the only way to combat this is by having editors that are knowledgable about topics. But it seemed editors were the first people laid off, when internet articles became a thing.
It’s a combination of three things:
1- most people still google things;
2- the more content you have the more organic traffic you’re likely to attract from Google;
3- displaying ads on your website makes you money.
Websites full of LLM generated content are just the natural continuation of MFAs (Made For AdSense) and there were lots of tools on sale back then in the 2006~2008 period that promised to automatically create websites for you and fill them with randomized content that is optimized for AdSense.
This reminds me of the short story “The Great Automatic Grammatizator” by Roald Dahl. In the story a machine is invented that can write great stories, but it’s creators go around buying the naming rights of authors so people will actually not their books.
I think I meant buy. I’ve edited the comment. That said, after rereading the story last tonight, the reason they buy the rights to authors names is to eliminate competition and maximize profits.
LLM cannot create new concepts, it can only create a mishmash of things it has been fed on.
Humans aren’t much different. 99.9% of what we create is just a remix of existing parts/ideas. It’s why people spend 12-20 years pre-training on all the existing knowledge in the field they’re going to work in.
This is going to happen for a while. Execs who actually have no clue have now been sold on the idea that AI lets them keep making money without paying labor.
It will fail eventually when the execs eventually take the time to learn what AI is capable of and what it isn’t capable of.
Who am I kidding? It’ll continue indefinitely because there are few consequences for clueless executives.
Execs won’t take the time to learn that, they will learn it only by losing market share to the competition.
I see a possibility where these sites eventually become terrible and there is a new person can come in and make content made by humans.
Considering most articles on the internet that don’t come from legitimate newspapers sound like they’re written by a 6-year-old who gets paid by the word, how much worse could it get?
People really don’t understand the current state of LLM, like the pictures generated “Its a really good picture of what a dog would look like, it’s not actually a dog”. Like a police sketch, with a touch of “randomeness” so you don’t always get the same picture.
I’m guessing they will try to solve this issue with some cheap human labour to review what is being generated. These verifers will probably not be experts on all the subjects that the llm will be spitting out, more of a “That does kind of look like a dog, APPROVED”.
Let’s say I’m wrong, and LLM’s can make as good of an article as any human. The content would be so saturated (even a tumblr user could now make as good and as much content as one of these companies), I would expect companies to be joining in on all the strikes 😆.
Funny world we are all going into.
Boas Entradas
One thing I disagree with is the assumption that anyone could create the same article by themselves. Coming up with a good prompt is a skill in itself and not everyone is equally good at it. I actually believe a prompt writer is going to be a new profession in the near future.
I’m guessing they will try to solve this issue with some cheap human labour to review what is being generated.
They already do. These current "AI"s are starting to look more and more like Mechanical Turks, except with a couple hundred third-world wage-slaves inside the box.
Bizarre. Not even keep a few editors for… the editing??
I wonder how this will affect the Stuff You Should Know podcsst.
They haven’t been associated for awhile, the company owning HowStuffWorks spun off the podcasting division in 2017 before selling it to iHeartMedia in 2018 https://variety.com/2018/digital/news/iheartmedia-stuff-media-howstuffworks-podcast-acquisition-1202939938/
Oh, great to know!! They are my favorite duo, and I often here them talk about How Stuff Works articles.
Thank you for the link.
I quit SYSK when iheart bought it, creating a vertical monopoly… And turning SYSK into a purely capital enterprise. Josh and Chuck rule. Wish they would do more of their own work off of the iheart platform.