Wouldn't help (on its own), you'd still get auto-updated to the broken version.
Artyom
C wears the pants of the family.
Pretty sure that on average, I write more lines of Python per day than are in this repo at the moment, and I'm not constantly under threat of a cease and decist from arriving at my doorstep.
Honestly, fair, even if his name wasn't fortran.
I have a coworker who thinks I'm this guy cuz it's apparently absurd for us to add the 5 most popular dependencies on the planet to our environment and I'm sentencing us to the doom of dependency hell.
It's so bad it's almost artistic
This meme but unironically
My head canon is that the writers were sick of the DOD interfering and forcing them to write in all these plot points that were real events. The writers went rogue for an episode and spilled the beans. The best part is after the episode aired, they had total immunity because any retaliation would be a confession.
1337x is known to host some game cracks with malicious bitcoin miners built-in. If you don't play cracked games, maybe it's nbd, but it still stands that you shouldn't trust them.
Wait, but how did you meet your wife though?
I too choose this guy's wife.
You seem to be under the impression that they care about anyone's safety, rookie mistake. Their job is exclusively to boost consumer confidence in air travel and increase corporate profits.
Weather forecasting does create ensemble models to help constrain their forecasts. They'll adjust some of their inputs in each model, mainly as a way of embedding the uncertainty in the measured data, then run that model and see if it changed.
This resembles AI on one level, but it's at a dramatically different scale. An ensemble may contain a few hundred runs at most, but an AI needs tens of thousands of data points at minimum. In order to make predictions like what google is saying they can do, they'd need to train on billions or maybe trillions of data points.
This is still fundamentally different than ensemble modeling though. Ensembles are physically informed and the perturbations are based on real assumptions. Each model in an ensemble is based on validated physics equations. An AI model would undermine that completely. You can't possibly describe the underlying equations because there aren't any, so you can't analyze its accuracy or propose a more accurate model, you're just stuck with a bunch of coefficients that you'll never understand.
I've worked in climate modeling, and this kind of AI work is nothing more than an electricity sink for at least a decade, maybe forever.