this post was submitted on 21 Oct 2024
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[–] [email protected] 0 points 2 months ago* (last edited 2 months ago) (2 children)

Update on LLM reviewer situation:

PM is down to let us pitch them our argument. Good news: PM seems like a cool person, is open minded, and is being pretty frank about the forces at work here. Bad news: taking action on this will open a whole can of worms, so any proof has to be ironclad. After conferring with our local grant wizards, the battle plan is to crank out a 15 minute pitch consisting of:

  • a 2 min elevator pitch of our tech, highlighting what the reviews mangled
  • intro to LLMs for people who know what glycosylation is
  • intro to semiotics for the same
  • show how transformer architectures transform symbols into symbols to produce text-shaped objects without actual intent, ideas, or context (and why "automated AI detection" is also bullshit).
  • show a few examples of plausible-at-first-glance gen-ai slop (the nonexistant turkish fortress, mouse dck, etc)
  • Highlight how our weird reviews (both good and bad) fit exactly into this bin (absolutely mis-interpreting a table, inventing a bacterial species we didn't use and talking shit about it, miscounting our team members, etc)

We'll be leaning on the Stochastic Parrot paper pretty hard, because it's a good entry into the field on the skeptical side and is just well constructed in general. I'm also on the hunt simplified diagram for how LLMs convert tokens to arrays to tokens from the original transformer literature. Unfortunately, so much of the literature is obscurantist on purpose, and I want to avoid falling into the "It can't be that stupid" trap. Any pointers in that direction are most welcome!

Wish us luck, heh!

[–] [email protected] 0 points 2 months ago (1 children)

good luck! it sounds like you’re coming in remarkably well-prepared, so unless they’re gonna go fingers-in-ears (and it sounds like the PM’s better than that), you’re at least likely to make an impact

Unfortunately, so much of the literature is obscurantist on purpose

between this and all the SEO on OpenAI’s marketing horseshit and breathlessly parroted press releases, it’s exhausting to find good sources for how any of this stuff actually works in reality. shit, I’ve had old primary sources on things like Sora get buried after OpenAI’s promises didn’t pan out. I’m hoping you can find what you need — our back archives might have a few links if you haven’t searched through here yet.

[–] [email protected] 0 points 2 months ago (1 children)

Kinda nervous about it, not gonna lie. Really appreciate the positive vibes!

[–] [email protected] 0 points 1 month ago

hah of course!

[–] [email protected] 0 points 2 months ago (1 children)
[–] [email protected] 0 points 2 months ago

o7 much appreciated!