this post was submitted on 18 Jun 2024
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AI didn't write this. AI would never write this. It's outrageously wrong to an extreme degree. Making dangerous and false claims have happened on occasion with LLM's (Often due to being fed various prompts until the user twists it into saying it), but an AI wouldnt write something like that, come up with a fake graph, and include a made up song (!?!) from the beetles about it. The fact that you are believing it doesn't speak to the danger of AI as much as it speaks to the gullibility of people.
If I said "obama made a law to put babies in woodchippers" and someone believes it, it doesn't speak to Obama being dangerous, it speaks to that person being incredibly dense.
I have used LLMs before and they are occasionally wrong, seems like you don't disagree. I don't see how someone who isn't deeply familiar with LLMs would be obviously tipped off that this post is a shit post. As for the graphs, who knows, Google probably already has that working. I've seen LLMs make up songs before too.
Why not? I figure you could train an AI to write this. I could see a Google engineer messing up and producing a bad AI. GPT2 engineers has made this mistake before.
This is kind of like saying "the problem with nuclear bombs is that people are too easy to evaporate at high temperatures, not the bombs themselves". Yeah, that is true, but it's really hard to make people less gullible. I wouldn't say LLM's and AI are bad or we should stop using them. But I think people like you need to understand that the average person is not on your level, and you need to slow your roll.
I don't think this is a good comparison, because Obama has been around for a while and most people believe Obama wouldn't do that. Now if Obama went from being a nobody to president in a day and then someone told me the about the woodchipper law. I would be unsure and have to double check. It wouldn't be obvious. Likewise, since LLMs are relatively new to most people, it's going to take a while before most people figure out what is a normal mistake by an LLM vs an obviously faked mistake by a shit poster.