this post was submitted on 22 Jul 2024
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Human summarization of the above story:
LLMs do not understand the text, so they cannot pick out the important sentences. Because of this, they are unable to summarize the text; instead they shorten the text. Unless the text is very rambly, important meaning will be lost when shortening.
Also the LLMs lie.
But having an AI do it is cheaper so that's where we're going.
Cheaper for now, since venture capitalist cash is paying to keep those extremely expensive servers running. The AI experiments at my work (automatically generating documentation) have got about an 80% reject rate - sometimes they're not right, sometimes they're not even wrong - and it's not really an improvement on time having to review it all versus just doing the work.
No doubt there are places where AI makes sense; a lot of those places seem to be in enhancing the output of someone who is already very skilled. So let's see how "cheaper" works out.
I use AI often as a glorified search engine these days. It's actually kinda convenient to give me ideas to look into further, when encountering a problem to solve. But would I just take some AI output without reviewing it? Hell no😄