

one did notice that the team didn’t involve nwaneri in the play as much as they did odegaard. as soon as that substitution was made, the ball went out to the left flank far more often.
one did notice that the team didn’t involve nwaneri in the play as much as they did odegaard. as soon as that substitution was made, the ball went out to the left flank far more often.
and how much would they have saved if they had gone for no employees at all but onlyfans?
you do know how to use the oxford comma, i’ll grant you that.
so, basically, drive on three wheels and the problem’s solved?
i know this is anecdotal but i’ve sat up front in the bajaj re tuktuk. one can almost see the single front wheel from that position – visibility for that one vehicle is definitely closer than the 2 meters shown in this graphic.
yeah, but it can do really cool things like “suggest a name for my project that does X”.
surely that game’s worth the candle, yes?
while you may be right, one would think that the problem lies in the overestimated peception of the abilities of llms leading to misplaced investor confidence – which in turn leads to a bubble ready to burst.
… bunch of douchebag techbros thinking it’s going to solve all the world’s problems with no side effects…
one doesn’t imagine any of them even remotely thinks a technological panacaea is feasible.
… while they get super rich off it.
because they’re only focusing on this.
a team owned by an energy drinks marketer is interested in a pint of cola?
big talk from someone with McSwag in their username!
it’s possible to make tonnes of mistakes, lose, and still claim you didn’t make any mistakes.
that’s not fodder for a pithy quote. that’s denial.
i love to hate verstappen but there’s only so much one can argue against true brilliance.
i think that milestone has already been achieved – at least in terms of the expected quality of the final manuscript.
have you read the da vinci code?
In general, the report found that the AI summaries showed “a limited ability to analyze and summarize complex content requiring a deep understanding of context, subtle nuances, or implicit meaning.” Even worse, the Llama summaries often “generated text that was grammatically correct, but on occasion factually inaccurate,”
how is this being accepted? one would have to go through any output with a fine-toothed comb anyway to weed out ai hallucinations, as well as to preserve nuance and context.
it’s like the ai tells you that mona lisa has three eyes and a nose and her mouth is closed but her denim jacket is open. you’re going to report that in your story without ever looking at the painting?
q. what do you call skidmarks leading to a massive crash into the barriers?
a. car-loss signs.
maybe that’s just the ai’s internal monologue leaking through?
im colloquial hindi, “yu ki” at the start of a sentence means “what i mean to say is…”.
or, alternatively, their lifetime offer has truly been honoured.
but how are you going to have a cool-down without any fans, though?!
inquiry: i’m just catching up with the boxing day matches highlights, and there’s a heavy smoky cloud visible in multiple grounds.
what is it? just condensate? a fog? mist? or were those matches played in new delhi?