And which of those implications bare importance on string templating?
Of course there are examples of situations where this heuristic doesn't apply, but that doesn't mean its a bad idea that we should totally disregard. This kind of thinking has plagued engineering fields for a long time; Don Norman talks about it in "The Design of Everyday Things". Engineering teams get mad when users don't use their products the "right way", when really they just won't admit to themselves that they've implemented bad design. Simpler, cleaner designs and use patterns tends to win as time goes on.
This movie is incredible. To many people, its lack of characters and a traditional storyline makes it alienating and boring, but there’s such a deep beauty embedded within that. There might not be a story, but there is a narrative that is clearly commenting about our relationship to nature, and in lacking those traditional elements of mainstream cinema it exposes us to a new way of thinking. We see life on earth taken at face value; the scenes are familiar to us but without any characters or words to ground and bias us. I’ve always felt that its as close as we can get to observing earth for the first time from a distant place. It forces us to detach from all the basic axioms that fuel our day to day experience, and in doing so makes an extremely salient point about our societies relationship with nature. Paired with the words « life out of balance », its hard to complete a viewing without a sense of dread that we’re doing a wildly bad job of taking care of our planet.
> This is true in principle, but the reality is more complicated. When we say “NP-complete is hard” we’re talking about worst-case complexity, and the average-case complexity is often much more tractable. Many industry problems are “well-behaved” and modern SAT solvers can solve them quickly.
This is a really cool point, no one ever mentioned this to me when I learned about this stuff at university. I wonder though, is there data for this ? Are businesses willing to take the risk and how do they mitigate ?
I'm not sure how popular they are in the wild, but there are a lot of approximation algorithms as well for solving version of these problems that are almost-but-not-quite the same. I wonder if that's just what lots of real-world use cases actually need.
He is presenting the list as "too be finished by X date", which within itself sort of implies trying to do it quickly, or at least that he is taking time into account while reading.
But it's not unreasonable that he make it through this list and enjoy everything. Half an hour a day really isn't much.
Wow, thank you for sharing that. Most of us don’t like to discus death and we do our absolute best to pretend like it will never happen. It really pains me to read this and I hope you and your partner find some peace.
E.G. searching “aluminum” still got both US and UK results, even though the later writes it “aluminium”.