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This is the humanless future, hurray!

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[-] TwilightVulpine@kbin.social 10 points 1 year ago

Could a language model actually independently discern if a source is trustworthy? Seems that's something difficult to determine when it comes to possible leaks. The kinds of AIs that we have today can't really conceptualize a world outside the texts they process, they can only check based on other texts and user input.

[-] FaceDeer@kbin.social 2 points 1 year ago

It would need to be told to do so, of course. I can think of a couple of approaches. You could have it use a database to track the identities of information sources, so the AI would know whether it was coming from new or well-established sources. It could check to see if the news is appearing in other sources. A lot of this isn't strictly large-language-model-based capability, but it would be using LLMs to interpret its inputs.

[-] MagicShel@programming.dev 1 points 1 year ago

Analysis is social media through the lens of tracking source reliability would be damned useful without AI and if that could easily be done I think it would already be. I've thought about this for about five years, thinking we could track bots and disinformation based on the patterns of who promotes/upvotes it, but it's beyond my meager means.

[-] nickajeglin@lemmy.one 2 points 1 year ago* (last edited 1 year ago)

I think certain places (reddit?) Have been using algorithms to find and stamp out bots/vote manipulation for quite a while. I remember at least one major wave of bans for smurfed accounts participating in manipulation.

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this post was submitted on 21 Jul 2023
261 points (100.0% liked)

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