In the regular people forums (twitter, reddit), you see endless complaints about LLMs being stupid and useless.
replyBut you also catch a glimpse of how the author of the complaint communicates in general...
"im trying to get the ai to help with the work i am doing to give me good advice for a nice path to heloing out and anytim i askin it for help with doing this it's total trash i dunt kno what to do anymore with this dum ai is so stupid"
The realization is LLMs are computer programs. You orchestrate them like any other program and you get results.
replyEveryone's interfaces, concept and desires are different so the performance is wildly varied
This is similar to frameworks: they were either godsends or curses depending on how you thought and what you were doing ..
I once (when ChatGPT first came out) launched into a conversation with ChatGPT using nothing but s-expressions. Didn't bother with a preamble, nor an explanation, just structured my prompt into a tree, forced said tree into an s-expression and hit enter.
replyI was very surprised to see that the response was in s-expressions too. It was incoherent, but the parens balanced at least.
Just tried it now and it doesn't seem to do that anymore.
Why say more word when less word do. Save time. Sea world.
replyYou mean see the world or Sea World?
reply*dolphin noises*
replyYes because in most contexts it has seen "caveman" talk the conversations haven't been about rigorously explained maths/science/computing/etc... so it is less likely to predict that output.
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replyFluff adds probable likeness. Probablelikeness brings in more stuff. More stuff can be good. More stuff can poison.
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