Auto loan delinquencies just hit a 15-year high. Consumers are skipping car payments, signaling deeper financial stress. Markets haven’t priced it in yet.
It looks like it’s AI styled to me, there are tell tales like the overuse of this isn’t about x but also y. That tends to be a clear sign of AI doing the writing.
I don’t see why. I don’t care if the text is formatted by LLMs, it’s the content that matters. This whole OMG LLM WAS USED TO WRITE SOMETHING hysteria is getting really old and tired.
If people can’t be bothered to use actual writers then it’s a pretty short hop to not being bothered to provide any real analysis. I’m always going to be skeptical of whatever those models shit out.
That doesn’t follow at all. Styling has nothing to do with content. If you have an issue with what the article says, or the numbers used then feel free to point that out.
Not only does it follow, it’s a casual relationship between the two. It’s the same reason Boeing is experiencing design issues at the same time they’re experiencing software control issues at the same time as they’re experiencing basic manufacturing QC issues; not giving a shit about a main pillar of your industry dramatically increases the likelihood that you don’t give a shit about multiple others too.
No, it really doesn’t follow and there is no relationship between the two. New technology exists and it’s now used to automate certain tasks that couldn’t be automated before. This is is like arguing that when people stopped writing assembly by hand they stopped giving a shit about coding. People aren’t writing articles in artisanal fashion the way they used to because automation has advanced.
Again, feel free to point out actual criticism of the content of the article. I can’t help but notice that despite all the whinging, you haven’t actually pointed out anything of substance wrong with the article.
It’ll be a cold day in hell before I dig into the veracity of an article in Forbes, “artisanal” or not.
The economy is bad and inflation has been running rampant and people can’t afford things anymore? Holy shit, someone inform the Nobel committee, this guy is really onto something special.
Right, so there’s nothing actually factually wrong in the article, and provides relevant numbers and cites a recent report showing how much car payment delinquencies went up. Some people are actually interested in the details, even if you’re not.
You just can’t bring yourself to admit that your complaint is vapid. The reality is that whether something was edited by an LLM or not has fuck all to do with the quality of the content. Not only that, but it would also be completely absurd to assume that an article has any veracity merely because it was written without use of LLMs.
AI Luddites Unite! Anyone who says “I don’t care” or “I don’t see the problem with LLMs” needs to learn about the environmental damage being done by huge AI systems.
I’d rather see some cool uses of LLMs in an organizational capacity than constantly bemoaning how bad they are. I don’t really see how we can put the cat back in the bag at this point.
It looks like it’s AI styled to me, there are tell tales like the overuse of this isn’t about x but also y. That tends to be a clear sign of AI doing the writing.
hey maybe don’t post that shit then
I don’t see why. I don’t care if the text is formatted by LLMs, it’s the content that matters. This whole OMG LLM WAS USED TO WRITE SOMETHING hysteria is getting really old and tired.
If people can’t be bothered to use actual writers then it’s a pretty short hop to not being bothered to provide any real analysis. I’m always going to be skeptical of whatever those models shit out.
That doesn’t follow at all. Styling has nothing to do with content. If you have an issue with what the article says, or the numbers used then feel free to point that out.
Not only does it follow, it’s a casual relationship between the two. It’s the same reason Boeing is experiencing design issues at the same time they’re experiencing software control issues at the same time as they’re experiencing basic manufacturing QC issues; not giving a shit about a main pillar of your industry dramatically increases the likelihood that you don’t give a shit about multiple others too.
No, it really doesn’t follow and there is no relationship between the two. New technology exists and it’s now used to automate certain tasks that couldn’t be automated before. This is is like arguing that when people stopped writing assembly by hand they stopped giving a shit about coding. People aren’t writing articles in artisanal fashion the way they used to because automation has advanced.
Again, feel free to point out actual criticism of the content of the article. I can’t help but notice that despite all the whinging, you haven’t actually pointed out anything of substance wrong with the article.
It’ll be a cold day in hell before I dig into the veracity of an article in Forbes, “artisanal” or not.
The economy is bad and inflation has been running rampant and people can’t afford things anymore? Holy shit, someone inform the Nobel committee, this guy is really onto something special.
Right, so there’s nothing actually factually wrong in the article, and provides relevant numbers and cites a recent report showing how much car payment delinquencies went up. Some people are actually interested in the details, even if you’re not.
You just can’t bring yourself to admit that your complaint is vapid. The reality is that whether something was edited by an LLM or not has fuck all to do with the quality of the content. Not only that, but it would also be completely absurd to assume that an article has any veracity merely because it was written without use of LLMs.
My problem is with the LLM in general. I purposely avoid the AI written shit if I can because I don’t want to support the use of AI and/or LLMs.
AI Luddites Unite! Anyone who says “I don’t care” or “I don’t see the problem with LLMs” needs to learn about the environmental damage being done by huge AI systems.
You gotta update your talking points. Energy needs for both training and running models have already dropped dramatically. Models that used to require a whole data centre just a year ago now run on a desktop. https://venturebeat.com/ai/deepseek-v3-now-runs-at-20-tokens-per-second-on-mac-studio-and-thats-a-nightmare-for-openai/
I mean you do you I guess? 🤷
I’d rather see some cool uses of LLMs in an organizational capacity than constantly bemoaning how bad they are. I don’t really see how we can put the cat back in the bag at this point.
It really is just perseveration at this point.