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Generative AI Still Needs to Prove Its Usefulness
The hype is fading, and people are asking what generative artificial intelligence is really good for. So far, no one has a decent answer.
This has led to massive problems with “hallucination,” in which the system asserts, without qualification, things that aren’t true, while inserting boneheaded errors on everything from arithmetic to science. Something that I argued in August 2023, to initial skepticism, has been felt more frequently: generative AI might turn out to be a dud. The enthusiasm that propped up OpenAI will diminish, and since it is the poster child for the whole field, the entire thing may well soon go bust.
Or read this on Wired
