One of my former (and very long-term) freelance gigs, How Stuff Works, has replaced writers with ChatGPT-generated content and also laid off its excellent editorial staff.
It seems that going forward, when articles I wrote are updated by ChatGPT, my byline will still appear at the top of the article with a note at the bottom of the article saying that AI was used. So it will look as if I wrote the article using AI.
To be clear: I did not write articles using ChatGPT.
#AI #LLM #ChatGPT
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
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:
That’s about it.