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.
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.
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:
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.
https://youtu.be/EUrOxh_0leE?si=voNBJjvvuyzb8oZk
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.
There’s the problem right there. The MSN homepage ain’t exactly a pinnacle of superlative journalism.