self

joined 2 years ago
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[–] self@awful.systems 4 points 4 months ago

“hey fucker come prove me right” can be an underrated but important part of the writing process

[–] self@awful.systems 10 points 4 months ago (5 children)

me visually: morning meeting poker face, unfireably cheerful when called on

me internally: dear fuck,

[–] self@awful.systems 7 points 4 months ago

I didn’t know Zack Snyder posted here

[–] self@awful.systems 55 points 4 months ago (17 children)

But don’t worry! Google’s AI summaries will soon have ads!

dear fuck, pasting ads onto the part of Google search that’s already known to be unreliable and annoying at best seems like a terrible idea. for a laugh, let’s see if there’s any justification for this awful shit in the linked citation

Ads have always been an important part of consumers’ information journeys.

oh these people are on the expensive drugs huh

[–] self@awful.systems 2 points 4 months ago

our entire industry will regret using Docker in the relatively near term, but nobody will learn a damn thing from the mistake

[–] self@awful.systems 10 points 5 months ago

and if we needed more proof you’re lazy and creatively bankrupt, this swing and a miss at a gotcha confirmed it

[–] self@awful.systems 13 points 5 months ago

just fucking stop

[–] self@awful.systems 10 points 5 months ago (3 children)

please tell me the topic was repopulating endangered species of animals

oh who the fuck am I kidding, it’s the orange site

[–] self@awful.systems 13 points 5 months ago

go fuck yourself imo

[–] self@awful.systems 8 points 5 months ago* (last edited 5 months ago)

we propose the STORM paradigm for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking

oh come the fuck on

The authors hail from Monica S. Lam's group at Stanford, which has also published several other papers involving LLMs and Wikimedia projects since 2023 (see our previous coverage: WikiChat, "the first few-shot LLM-based chatbot that almost never hallucinates" – a paper that received the Wikimedia Foundation's "Research Award of the Year" some weeks ago).

from the same minds as STOTRMPQA comes: we constructed this LLM so it won’t generate a response unless similar text appears in the Wikipedia corpus and now it almost never entirely fucks up. award-winning!

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