You just described my household situation to a T. ๐
ApexHunter
joined 1 year ago
m68k assembly was my favorite back in the day.
More likely it was a rocket that failed / went off course.
You already pay more taxes if you don't have children... (child tax credits, dependents in household, etc)
This isn't going to hurt Google's antitrust cases at all... Noooo sir.
I'm originally from Missouri. There are a fuckton of racists there that will be cheering this on.
She was paranoid schizophrenic.
Head of group responsible for Project 2025 threatens violence if people challenge their "revolution"
the fact that he's saying "I've never even heard of these guys" is telling
He says, staring at the camera with a poo-eating grin, winking and transitioning to a speech about how he's met so many "great" americans who are going to help "take our county back"....
Max moved under braking multiple times, passed off track, ran into Norris not once but twice in the same corner, left the track maintaining his position, pushed Norris off track on the straight after the collision, then weaved and blocked Norris on the racing line on the following corner after it was clear he had a puncture.
Norris was overly optimistic going into a corner once and gave the position back.
But yeah, let's go ahead and treat both of their behaviors as the same... /sarcasm
"Heads I win, tails you lose."
The joke is that, regardless of how the type is declared in json, you are parsing a string. (your json blob is just a series of characters, not raw binary data)
They're supposed to be good a transformation tasks. Language translation, create x in the style of y, replicate a pattern, etc. LLMs are outstandingly good at language transformer tasks.
Using an llm as a fact generating chatbot is actually a misuse. But they were trained on such a large dataset and have such a large number of parameters (175 billion!?) that they passably perform in that role... which is, at its core, to fill in a call+response pattern in a conversation.
At a fundamental level it will never ever generate factually correct answers 100% of the time. That it generates correct answers > 50% of the time is actually quite a marvel.