This isn’t going to hurt Google’s antitrust cases at all… Noooo sir.
This isn’t going to hurt Google’s antitrust cases at all… Noooo sir.
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)
The reply would have been return x % 2 == 0
, or if you wanted it to be less readable return !(x&1)
.
But if you were going for a way that is subtly awful or expensive, just do a regex match on “[02468]$”. You don’t get a stack overflow with larger numbers but I struggle to think of a plausible bit of code that consumes more unnnecessary cycles than that…
Is this meant to be a joke or is it intended to be a serious solution?
Asking for someone who lacks a sense of humor.
Ok, fine, I’m asking for me. That person is me.
Just like every basement is a hamas bunker and every sewer is a hamas tunnel.
Agree no difference as an ingredient in some baked dish.
But if you are eating the egg by itself or as the primary item, there is definitely a difference in taste. Not a revolutionary change your life difference, but still a difference.
In my experience the difference is pretty small amongst the options in the grocery store, but fairly noticable for eggs I get from the farmers market.
There are three sides to this conflict, not 2.
…by him?
Years ago I once wrote a program to view logs from a system I worked on. I used the ren and stimpy log as the icon for the file extension. It still makes me chuckle on the rare occasions I work on that system…
For first names we separately compiled lists of names that we liked from whatever sources we could find (Internet lists, books, media l names used in media, etc). We went through each other’s lists and vetoed names that were a hard no. Then we wrote the names out on a sheet of paper in random order in a playoff bracket style arrangement. Each pair had a winner until there was only one.
For middle names, it had to be something that flowed well with the first name. It also had to be able to convey that special sense of “you done fucked up” and disappointment when said with the first name (while emphasizing the second), like “John PAUL”. Finally, candidates were from (mostly deceased) family members.
Names and initials were checked to minimize bullying potential; if we could think of a way to abuse it the name or combination was rejected. For example, Karen would be a no due to current slang usage. Or if the initials would spell ASS.
I just watched that episode last night!
The latest claim is that they have found a shaft leading underground. How much you want to bet it looks like an elevator shaft, if they even release any pictures of it…
You might say Israel is implementing a final solution to their problem…
Delete yourself you Russian shill
Omg, I have SOOoo many questions about what is going on in this picture.
No, this was something that happened sometime last year. I tried to find one of the articles but I wasn’t able to. There was a lightly damaged building, with damage from an angle that couldn’t be hit by a weapon coming from Ukraine. There were pictures showing “American” weapon fragments. It was comically bad/obvious. It was reported by Russian State media iirc.
Israel is claiming that some rockets launched by Hamas towards Israel went off course and hit the hospital.
I remember Russia staging a “Ukrainian missle attack”, but they were so bad at it that the damage was on the side of buildings facing away from Ukraine. Should be pretty easy to check that here too…
My guy wanted to use drones to cut hedges.
I’d be perfect departure time man. Able to determine exactly when to leave in order to arrive at your destination on time, regardless of traffic, weather, or other conditions encountered along the way.
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.