MSFS implements optimizations on top of that (progressive detail, compression, etc), but that's how almost all map systems work under the hood. It's actually an efficient way to represent real environments where you don't have the luxury of procedural generation.
Crossover is the commercial version of the code behind proton, developed by the same company. It doesn't work as well on Mac as on Linux. Since "Like Linux but worse" is exactly the point you're responding to, so you're pretty much in agreement with them?
Even if it was 3 cents in bandwidth (it's not), that's 1.3 billion dollars in additional costs. You want more ads to pay for that?
No. Nvidia will be licensing the designs to mediatek, who will build out the ASIC/silicon in their scaler boards. That solves a few different issues. For one, no FPGAs involved = big cost savings. For another, mediatek can do much higher volume than Nvidia, which brings costs down. The licensing fee is also going to be significantly lower than the combined BOM cost + licensing fee they currently charge. I assume Nvidia will continue charging for certification, but that may lead to a situation where many displays are gsync compatible and simply don't advertise it on the box except on high end SKUs.
You can sometimes deal with performance issues by caching, if you want to trade one hard problem for another (cache invalidation). There's plenty of cases where that's not a solution though. I recently had a 1ns time budget on a change. That kind of optimization is fun/impossible to do in Python and straightforward to accomplish Rust or C/C++ once you've set up your measurements.
"welp" isn't related to whelping. It's a way to write the word "well" when it's used as an interjection (meaning it has no definition). The word is often pronounced with a terminal -p and people started writing the letter in text.
Standardized tests are normalized, so...
ML is not an ENIAC situation. Computers got more efficient not by doing fewer operations, but by making what they were already doing much more efficient.
The basic operations underlying ML (e.g. matrix multiplication) are already some of the most heavily optimized things around. ML is inefficient because it needs to do a lot of that. The problem is very different.
There's probably a bunch of reasons for the multi wing design, but the big one is going to be improving lift/carrying capacity without increasing the width.
The most efficient wings for low speeds are glider wings: as long and thin as possible. That makes them inconvenient to pack and folding joints are weak points. The second wing adds lift, but also problems: it's less efficient than a single wing of the combined length would be and the front wing makes the rear wing less efficient. The winglet improves the situation somewhat. Facing downward also improves maneuverability.
It's a little weird and very European, so OpenSUSE.
Cost of living isn't the same everywhere and perspective is relative.
Rent in my area averages around 3k USD/mo for fairly plain arrangements. Between that and "unavoidable" costs like utilities, you'd get 3-4 months max on that amount, even living frugally. It really isn't that much for a lot of people, even if that amount might be to you.
Throwing untrained people out of a commercial airliner at high speed in the middle of a emergency is a good way to ensure no one survives. The equipment would add a significant amount of space, fuel and maintenance burden too, and require major compromises to the aircraft design itself. All to resolve a problem that effectively never happens.