Mach-E was the bestseller last month, second place this month after the Model Y. The 80% last month were for plugin vehichles including plugin hybrid (64% battery electric, BEV), the 70% now are BEV (about 88% plugin).
The numbers change a lot from month to month. Depends on delivery rate (e.g. Tesla does bulk delivery every three months), and there is typically a spike in deliveries when a model starts shipping, since there are months of backorders to work through. New models starting shipping was Mach-E last month and Model Y this month.
So it's more useful to look at longer timeframes.
Sounds to me very much like "I want to learn truths and relationships about natural language that are independent of any specific culture and history", i.e. independent of any particular language and concepts like alphabets and spelling. Such things exist (like Chomsky's generative grammar), but they are of limited use in learning any particular language.
Music theory without culture and history would have to leave out things like scales, chords, chord progressions, tuning systems (like our 12-tone equal temperament), etc., since they vary between cultures and over time. I'm not entirely sure what's left, maybe the harmonic series?
Sheet music is similar to math notation or written language, and simpler to learn than either of those. It's not the only possible notation, but it's widely used and more compact than say guitar tabs or a MIDI piano roll. If you can't read/write any notation at all you will be limited by how much you can memorize, writing things down is a time-honored tradition for rememering details for yourself as well as for sharing it with others.
So I would suggest that music students learn sheet music plus any other notation that's relevant to their instrument, for the same reason I would suggest that English learners learn to read and write despite English spelling being a crapton of inconsistencies; it gives a lot more options for a modest amount of extra effort.
Can you go through life without being able to read and write, sure. I just don't see why you would want to.
> [They] adapted a heat-exchange process commonly used for cooling submarines to the underwater datacenter. The system pipes seawater directly through the radiators on the back of each of the 12 server racks and back out into the ocean.
So watercooling with seawater, a pump or two, perhaps a heat exchanger (the radiator) is involved. Server to air to pod outer surface would be way too inefficient to keep the servers operating.
For me, the photos in the linked article look great no matter what the process was to create them. I don't see why they would lose their charm if they were CGI, simply because we tend to know whether we like a picture or not within a split second of first seeing it, while we generally don't know how they were made until later.
But for the pictures in the GP link, I don't think the pictures by themselves are all that interesting; to me almost the entire interest stems from knowing how they were made.
Somewhat comparable to pictures posted on HN a while back that went from "ho-hum, another portrait" to "that's actually interesting" by knowing that these were not real people or real photos, but rather computer generated portraits. (https://petapixel.com/2019/09/20/this-company-is-giving-away... )
So I think charm/appeal can stem from several sources, like pure visual impact, but it can also stem from an appriciation of the process behind it. And I see people sometimes change their minds on how well they like a picture - in either direction - based on how simple or complex they think the process was, even if the picture is identical. (Compare say a picture of a wild wolf pouncing its prey vs the same picture after you've learned that it's stuffed animals and the scene was arranged by the photographer.)
"While a few other substances (like solid neon) could potentially explain the coma-free acceleration, hydrogen was the best match for the data."
It doesn't have to be hydrogen. But to explain acceleration from solar heating it does need outgassing, and the outgassing has to be in a form that we can't detect (no comet tail). Stone won't have much (or any) of that.
The numbers change a lot from month to month. Depends on delivery rate (e.g. Tesla does bulk delivery every three months), and there is typically a spike in deliveries when a model starts shipping, since there are months of backorders to work through. New models starting shipping was Mach-E last month and Model Y this month. So it's more useful to look at longer timeframes.