3 ms·
current LLMs can only summarize, digest, and restate. There is no non-transient value add. Though, at a stretch, Wikipedia itself could be considered based aro
by petercooper 3y ago
current LLMs can only summarize, digest, and restate. There is no non-transient value add.
Though, at a stretch, Wikipedia itself could be considered based around summarization, digesting, and restating/citing things said elsewhere, given its policy of verifiability: "Even if you are sure something is true, it must have been previously published in a reliable source before you can add it." Now, LLMs aren't well known for their citation skills, to be fair.. :-)
- lukev 3y agoYeah, when AIs can comprehensively cite their sources I might change my opinion on that. Though note that there still isn't any need to publish static content. The power of LLMs is that they can be dynamic and responsive! Even if we hypothesize that it were possible for a LLM to write a high-quality wikipedia-like output, generating the whole thing statically in advance like existing Wikipedia would be relatively pointless. It'd be much more interesting to generate arbitrary (and infinite!) pages on demand.
- skissane 3y agoI remember one time, I wanted to update a Wikipedia article with some more recent developments, but was having trouble working out the best way of wording them. I found a newspaper article discussing those developments, so I scribbled down some notes summarising the article's content, and then asked ChatGPT to reword them for me more eloquently. And its output was good enough for me to paste in to the Wikipedia article with only minor adjustments, along with a cite to the newspaper article. I'm sure I'm not the only person to have done something like that.