o7___o7 @ o7___o7 @awful.systems Posts 4Comments 617Joined 2 yr. ago
Broke: Simpsons did it first
Woke: OJ Simpson did it first
that URL is one character away from disaster
French language doesn’t even have a word for entrepreneur.
this sent me
That's What I Call Music 911 -- Guantanamo Edition
Kinda nervous about it, not gonna lie. Really appreciate the positive vibes!
Edit: And thanks so much for keeping this community alive!
Spending this many words to say "it's too hard to feed myself anything but basic-ass pickle chicken" is just sad.
OpenAI's business model:
Star Citizen, but for billionaires.
It's crazy how these guys will burn billions of dollars and boil the oceans to speak to their invisible friends, when all you really need is a tea candle and 3 cc of mouse blood.
o7 much appreciated!
I wish I was cool enough to have the world's worst people get so mad at me that they...make fan art and put it up on their website. What's Elon going for here?
If their aim is to make DG look bad ass, they're doing a good job.
I can't be racist, my DND main is a Drow.
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!
who does this? I love audiobooks, but I've put them down when the narrator didn't work for me. Who wants everything to sound like it's being read by a serial killer?
Is their branding dominated an anime girl of ambiguous age?
Just guessing, I promise I haven't checked.