606 karma · joined May 2, 2021
PDF (entirely legal): https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
Nothing else is close to vegan, unless you're into ordering Chicken Lettuce Wraps without Chicken.
Walmart, Target, Home Depot, etc. embraced the 21st century and are doing just fine. Others like Chewy only came about as a result of the new trends.
BB&B bought its way into bankruptcy by taking on debt to fund a multi-billion dollar stock buyback; external competition (including Amazon but primarily Walmart) was a secondary factor.
I think the confusion comes from the term free-range meat, which (at least in the US) is a marketing term far removed from what any normal person would consider "free range". It could be -- and often is -- just a barn with a fenced outdoor opening small enough that it amortizes to a few square inches of "free range" land per animal. Many of whom will never get there because they die of various kinds of nastiness before they make it to the opening.
The percentage of human-raised animals who are truly "free range" and roam grasslands in any meaningful sense begins with a decimal point. Cut the per-head subsidies and you cut the incentive to singularly maximize body count at the expense of all potential benefits of free-roaming animals.
We don't know what specifically the deciding machine is, but it is either the one that always returns Yes or the one that returns whether or not x is below some finite value. Either case can be solved by only reading a bounded number of bits from the input.
With some work, one can eventually generalize Collatz to make an undecidable problem; this is more or less the basis for FRACTRAN. https://en.wikipedia.org/wiki/FRACTRAN
So the question is whether they need the blood more than you did pre-transfusion. If they did, then you're still commiting a net positive. If not, then it serves them right for requesting a blood donation despite needing it less than did an individual who was ready to donate their own.
Unless the blood is going to research, in which case it is a net positive regardless.
I'd love to use many offline note taking apps, but not if they're liable to randomly upload my notes to a potentially adversarial third party. And the actively privacy-hostile behavior of maintaining a separate branch just to disallow access to this feature is not appreciated.
However, since the biggest term in the sum of 2n positive numbers is clearly within a factor 2n of the entire sum, the ratio of the logarithms is at least log(2^(2n) / 2n) / log(2^(2n)) = 1-log(2n)/(2n) which converges to one pretty quickly.
And, in fact, a tighter analysis would show that the error decreases faster than what I outlined.
I would have had more faith had they scrambled the labels and run the experiment of distinguishing one random subset of songs from another random subset. Anything greater than 50% would indicate the model's ability to overfit; I'd like to know how accurately their model would perform.