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Re:Scientists Find Optimal Balance of Data Storage and Time by refulgentis on Friday February 09, 2024 @08:38PM (#39322660)
This is so strange to me.

I'm hoping because Quanta's explanation was approachable, but ultimately, wrong when I try applying it the following way:

Theorists will spend an enormous amount of time developing algorithms that are O(kNlog(N)) that are impractical in practice because

- K approximates infinity

- It is well-known K approximates infinity.

- It is not expected for K to decrease.

Re:Scientists Find Optimal Balance of Data Storage and Time by hinkley on Friday February 09, 2024 @11:45PM (#39323659)
> “But in practice, constants really matter,” he said. “In the real world, a factor of 10 is a game ender.”

Working at a place who kept losing customers to a competitor whose software was less than 2x as fast as ours fundamentally changed how I view optimization and how I view constant overhead C. And crystalized once I saw how delivering steady gains milestone after milestone can buy a lot more goodwill than one fast and dirty optimization.

Speed doesn't matter if you're the only game in town (a monopoly). For everything else it matters.