tronbabylove
How do you handle historical backfill for new features? As in, some feature that can be updated in streaming fashion but whose initial value depends on data from the last X years, e.g., total # of courses completed since sign-up.
Also, who is responsible for keeping the Flink jobs running: the data scientists, or do you have a separate streaming platform team?
Yes, running power stations and manufacturing chips requires the protection of a government; yes, Bitcoin mining depends on the existence of power and chips, and therefore indirectly on a functional government. But I don't see how you get from "Bitcoin mining stops if the government doesn't exist" to "So the government might as well be the arbiter of all transactions."
Why does increased blood supply create such a large selection pressure? And what type of surgical procedure uses the median artery as a replacement part?
I have zero training in biology, so I think my mental model must be very off.
One of Org's unique advantages is the pliability it has by virtue of running in Emacs. I doubt whether someone who was forced to use it would have the intrinsic motivation to climb the notoriously steep learning curves for both Elisp and Emacs. Subtract Elisp (and with it, the ability to do any debugging or customization) and you're left with stock Org mode running in an inferior text-editor.
Maybe stock Org is still enough of an improvement over Markdown that it's worth the overhead of learning Emacs, but I'd have a hard time making that pitch to my coworkers.
The disparity between my firsthand experience and the way that this is reported in the media has been eye-opening.
[1] https://github.com/astahlman/ob-async [2] https://github.com/jwiegley/emacs-async