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AI searches the published world to source anything it says.
But if you Google something right now, some AI engine will write an answer. That answer will read like a boring article. And it may or may not be right. But here's the kicker: the AI that looks for answers cannot tell the difference between a real source, or an AI-generated one. Which means that, like a photocopy of a photocopy of a photocopy, anything resembling the original information source is so far diluted and lost, that it is indistinguishable from dreck.
This seems to be inevitable. AI generates documents and words. But its accuracy and usefulness are headed in the wrong direction. All large language models suffer from this.
Is this wrong? Am I missing something?
Discussion (51)
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A while back, someone at ricochet discussed the difference between artificial intelligence and a large language model. I followed the article for a bit and then decided I don't have sufficient background in either to fully understand the difference.
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No.
All the potential mischief we could be doing.
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I don't know that "we" need to do anything. Seems like AI will "mischief" itself. And it may not take very long to render itself useless.
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For an Internet second the sentiment took me that my vast wood pulp based library is a waste of space. Nah.
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As long as you got them before Amazon started changing things on the fly.
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