I hope he wins, and the fine makes Microsoft's eyes water. Everyone need to slow the fuck down with this, and they won't until there are real painful consequences.
MS can drop billions on game company acquisitions like it's no big deal? Cool, give this guy 1 billion dollars for randomly singling him out and automated-accusing him of sex crimes.
Maybe then all the tech bros might pause for 3 seconds before they keep feeding shit into their models illegally.
For fact-based applications, the amount of work required to develop and subsequently babysit the LLM to ensure it is always producing accurate output is exactly the same as doing the work yourself in the first place.
Always, always, always. This is a mathematical law. It doesn't matter how much you whine or argue, or cite anecdotes about how you totally got ChatGPT or Copilot to generate you some working code that one time. The LLM does not actually have comprehension of its input or output. It doesn't have comprehension, period. It cannot know when it is wrong. It can't actually know anything.
Sure, very sophisticated LLM's might get it right some of the time, or even a lot of the time in the cases of very specific topics with very good training data. But its accuracy cannot be guaranteed unless you fact-check 100% of its output.
Underpaid employees were asked to feed published articles from other news services into generative AI tools and spit out paraphrased versions. The team was soon using AI to churn out thousands of articles a day, most of which were never fact-checked by a person. Eventually, per the NYT, the website's AI tools randomly started assigning employees' names to AI-generated articles they never touched.
Yep, that right there. I could have called that before they even started. The shit really hits the fan when the computer is inevitably capable of spouting bullshit far faster than humans are able to review and debunk its output, and that's only if anyone is actually watching and has their hand on the off switch. Of course, the end goal of these schemes is to be able to fire as much of the human staff as possible, so it ultimately winds up that there is nobody left to actually do the review. And whatever emaciated remains of management are left don't actually understand how the machine works nor how its output is generated.
Yeah, I see no flaws in this plan... Carry the fuck on, idiots.
Did you enjoy humans spouting bullshit faster than humans can debunk it? Well, brace for impact because here comes machine-generated bullshit! Wooooeee'refucked! 🥳
Your statement is technically true but wrong in practice. Because your statement applies to EVERYTHING on the Internet. We had tons of error ridden garbage articles written by underpaid interns long before AI.
And no, fact checking is quicker than writing something from scratch. Just like verifying Wikipedia sources is quicker than writing a Wikipedia article.
Okay, yes I agree with you fully, but you can't just say it's a mathematical law without proof, that's something you need to back up with numbers and I don't think "work" is quantifiable.
Again, yes, they need to slow down, but I have an issue with your claim unless you're going to be backing it up. Otherwise you're just a crazy dude standing on a soapbox
Worse yet, the erroneous reporting was scooped up by MSN — the somehow not-dead-yet Microsoft site that aggregates news — and was featured on its homepage for several hours before being taken down.
It's an unfortunate example of the tangible harms that arise when AI tools implicate real people in bad information as they confidently — and convincingly — weave together fact and fiction.
And if Bigfoot conspiracies slip through MSN's very large and automated cracks, it's not surprising that a real-enough-looking AI-generated article like "Prominent Irish broadcaster faces trial over alleged sexual misconduct" made it onto the site's homepage.
According to the NYT, the website was founded by an alleged abuser and tech entrepreneur named Gurbaksh Chahal, who billed BNN as "a revolution in the journalism industry."
Underpaid employees were asked to feed published articles from other news services into generative AI tools and spit out paraphrased versions.
Eventually, per the NYT, the website's AI tools randomly started assigning employees' names to AI-generated articles they never touched.
The original article contains 559 words, the summary contains 167 words. Saved 70%. I'm a bot and I'm open source!
