Boneless chicken isn’t just deboned, it’s shredded and mashed. Since it’s basically manufacturing chicken, there is a guaranteed nonzero margin of error. It’s the correct ruling, there’s no way any company could guarantee the complete absence of bones that were mixed in with the ingredients. I’m more surprised this doesn’t happen more often.
A friend of mine recently told me that your seat position is stored server-side in case you own multiple Teslas, so if Tesla goes belly up, it’s possible you won’t be able to save your seat settings.
I’m actually greatful for foldable phones. When they started actually coming out, I was certain that smartphones were feature-complete and my phone would never become obsolete again. If that weren’t true, they would have put a new real feature in the phone instead.
Burrito is a generous term in the same way that just because it’s called a footlong doesn’t mean it needs to be a foot long.
Actually I’ve read studies saying people who took their full PTO tended to get better year over year raises.
Inb4 apps like NewPipe and Signal are arbitrarily categorized as “low quality” without any sort of opportunity to challenge the ruling.
You could call it an over-moderation problem.
I can eat 50 eggs.
Every time I think about Zardoz, I think it must be the last time I’ll ever think about Zardoz. Maybe Zardoz is eternal?
Literally close to a factor of 100 cheaper than disposable blade razors. It’s flat out crazy anyone shaves any other way.
Yeah I’m glad you brought up the doorbell. Once the jammer dog is jamming, it’s impossible to ring most doorbells and choose the polite option. It’s 110% murderville from that point onwards.
Or you could use baobab to do the same thing if you want an answer within 10 minutes.
Not only that, but it apparently doesn’t even involve math anymore!
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.
I feel like you only get one free pass on “no wait the director’s cut is actually amazing even though the movie sucked”
I think that 74 million figure demonstrates that not only have they pondered the question, but they’ve reached a definitive conclusion on the thought and did some research to get an exact number for you. Any further questions?
I’d be so down for an astronaut with a military career as a VP candidate. Sounds like a slam dunk inside a slam dunk.
I’m not exaggerating when I saw literally every product has an acceptable percentage of defecting products that can make it to shelves before it’s not okay. There isn’t a product in the world that has a 0% risk. It’s just something you need to accept and negotiate on how many defective products are acceptable.