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OpenAI could be on the brink of bankruptcy in under 12 months, with projections of $5 billion in losses
(www.windowscentral.com)
this post was submitted on 28 Jul 2024
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Cory Doctorow has a good write-up on the reverse centaur problem and why there's no foreseeable way that LLMs could be profitable. Because of the way they're error-prone, LLMs are really only suited to low-stakes uses, and there are lots of low-stakes, low-value uses people have found for them. But they need high-value use-cases to be profitable, and all of the high-value use-cases anyone has identified for them are also high-stakes.
Thank you. This is a good article. Are there any good book length things I could read on this topic?
I do not know. Perhaps Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell.