Anyone surprised by this wasn’t paying attention. This is the “AI” apocalypse everyone has been wringing their hands over and dumbass executives have been salivating over. This is exactly the problem with LLMs, they produce very convincing looking content, but it’s not actually factual content. You need teams of fact checkers and editors to review all their output if you care at all about accuracy.
I don’t think this one is even an LLM, it looks like the output of a basic article spinning script that takes an existing article and replaces random words with synonyms.
This seems like the case. One of the first stanzas:
Hunter, initially a extremely regarded highschool basketball participant in Cincinnati, achieved vital success as a ahead for the Bobcats.
Language models are text prediction machines. None of this text is predictable and it contains basic grammatical errors that even small models will almost never make.
AI doesn’t exist, but it will ruin everything anyway.
Hah, great video. There was a reason why I put quotes around AI in my response because yes, what’s being called AI by everyone is not in fact AI, but most people have never even heard of machine learning let alone understand the difference between it and AI. I’ve seen a trend of people starting to use the term AGI to differentiate between “AI” and actual AI, but I’m not really a fan of that because I think that’s just watering down the term AI.
In the industry ML is considered a subset of AI, as are genetic algorithms and other approaches to developing “intelligence”. That’s why people tend to use AGI now to differentiate, because the fields been evolving (not that I agree with the approach either) . Honestly, you show someone even 10/15 years ago what we can do with RL, computer vision, LLMs and they’d certainly call it AI. I think the real problem is a failure to convey what these things actually are, they’re sold to the public under the term AI only to hype up the brand/business.
“AI is whatever haven’t been done yet”
This article wasn’t even remotely convincing, though.
Throughout his NBA profession, he performed in 67 video games over two seasons
Dude really went wild during the steam summer sale.
Don’t we all.
Gotta teach it to add qualifying language. The above is falsifiable (even if it happens to be true).
Throughout his NBA profession, he performed in approximately 67 video games over two seasons
Throughout his NBA profession, he performed in at least 67 video games over two seasons
The second one is only technically falsifiable. It wouldn’t be practical though as you’d have to prove you investigated every video game over a 2 year period (and not necessarily contiguous). Not an easy task.
Agreed. Otherwise the content was perfect.
I mean, MSN is just a portal and I doubt there’s much behind it besides what domains are popular. MSN “published” this the same way Google News published articles. It sounds better to say Microsoft did it, but it’s from some news site called Race Track and it was simply scraped by MSN.
Yeah, but that’s a key part of the problem. The media had already automated a lot of the news curation into Google News, MSN and other portals, getting people used to not paying much attention to the particular source of news. The news is now moving to generating the actual content in an automated way, rather than just the aggregation step.
But it still isn’t MSN who did it. The key part of the problem is entirely glossed over in the article.
“The full story is that back in 2020, MSN fired the team of human journalists responsible for vetting content published on its platform. As a result, as we reported last year, the platform ended up syndicating large numbers of sloppy articles about topics as dubious Bigfoot and mermaids, which it deleted after we pointed them out.”
MSN is not blameless for publishing bad content without supervision. And we are due for a wave of bad AI content starting now. So this problem is going to keep getting worse.
Thats a different problem and not even new. It’s not even the same problem you referenced as the “key” part of the problem. Algorithms providing content is behind every mainstream platform ever.
I didn’t say MSN is flawless. Just that people are really bad at determining responsibility for an issue.
They’re also really bad at delineating the nuance of different root problems apparently.
Link to the article (archived)
#Brandon Hunter useless at 42# Story by Editor • 9/12/2023, 11:21:42 PM21h
Former NBA participant Brandon Hunter, who beforehand performed for the Boston Celtics and Orlando Magic, has handed away on the age of 42, as introduced by Ohio males’s basketball coach Jeff Boals on Tuesday.
Hunter, initially a extremely regarded highschool basketball participant in Cincinnati, achieved vital success as a ahead for the Bobcats.
He earned three first-team All-MAC convention alternatives and led the NCAA in rebounding throughout his senior season. Hunter’s expertise led to his choice because the 56th general decide within the 2003 NBA Draft.
Throughout his NBA profession, he performed in 67 video games over two seasons and achieved a career-high of 17 factors in a recreation in opposition to the Milwaukee Bucks in 2004.
Okay but when’s the last time you had 17 factors in a recreation in opposition to the Milwaukee Bucks, hmm?
Never, but I am useless at 39, so what does that get me?
That’s some top notch obituary writing, AI.
I agree, it’s extremely regarded.
Intelligence is not the same as Wisdom. People often conflate the two and “AI” as it exists today is equivalent to a 3 year olds level of wisdom and a 40 year olds level of intelligence. It has access to vast amounts of facts and data but is completely unable to actually “understand” context and meaning.
Yes, these mimicry algorithms have the intelligence of a 40-year-old human, that’s definitely not an absurdly idiotic claim.
It’s clear you’re both using different meanings of “intelligence.” Granted I don’t think there is consensus on its meaning, but from context they clearly regard “intelligence” as just memorized facts and wisdom as the application of it, which they aren’t honestly far off. The amount of data is there, it’s the understanding of the data that isn’t there.
