• silence7@slrpnk.netOPM
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    3 days ago

    That’s still not into the realm where I trust it; the underlying model is a language model. What you’re describing is a recipe for ending up with paltering a significant fraction of the time.

    • jkintree@slrpnk.net
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      2 days ago

      Did you even try diffy.chat to test how factually correct it is and how well it cites its sources? How good does it have to be to be useful? How bad does it have to be to be useless?

      • silence7@slrpnk.netOPM
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        2 days ago

        I tried it. It produces reasonably accurate results a meaningful fraction of the time. The problem is that when it’s wrong, it still uses authoritative language, and you can’t tell the difference without underlying knowledge.