Eli Zaretskii <e...@gnu.org> writes: >> From: Jean Louis <bugs@gnu.support> >> Too many opinions, zero examples. > > You don't accept expert opinions without examples? That would mean > you will accept only a very small amount of opinions. > > A complete example of using ML to solve non-trivial problems will take > hours to describe and explain to someone who is not proficient in the > domain. I don't have that kind of time sorry.
Alpha Go showed that reinforcement learning systems can outperform the best humans on earth in specific tasks. so much should be undisputed. Alpha Go changed fundamentally how humans play Go. Here’s a nice to read discussion of a hobbyist’s understanding of insights Alpha Go provided for LLMs: https://www.lesswrong.com/posts/WW7bvpZmgBihhoJPk/planning-in-llms-insights-from-alphago Based on that it is clear that there are problems we can currently only solve with LLMs. So when an expert says “there are actual innovations”, there’s no generalized reason to doubt that. Doesn’t mean that all the usages today actually are innovations, but "it exists" and "all are" are two very different claims. Best wishes, Arne -- Unpolitisch sein heißt politisch sein, ohne es zu merken. draketo.de
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