Quotes About Optimization

Nature's kind of clever, because it figured out millions of years ago that if you grow these fibers below a critical size, even if you have flaws in the material, it doesn't affect the strength.

Good, Better, Best. Never let it rest. Until your Good is Better, and your Better is your Best.

I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it.

Efficiency is the foundation for survival. Effectiveness is the foundation for success.

lo mejor es enemigo de lo bueno.

I'm working to improve my methods, and every hour I save is an hour added to my life.

By working only when you are most effective, life is both more productive and more enjoyable. It's the perfect example of having your cake and eating it, too.

Simplicity – the art of maximizing the amount of work not done – is essential.

Dealing with complexity is an inefficient and unnecessary waste of time, attention and mental energy. There is never any justification for things being complex when they could be simple.

Programming languages should be designed not by piling feature on top of feature, but by removing the weaknesses and restrictions that make additional features appear necessary.

Optimization hinders evolution.

I want to push technology boundaries to be more efficient.

Capitalism has forced everyone to overoptimize in order to compete.

Ultimately you want to optimize championship probability over some window. But if you literally take that to the logical extreme, you would be doing crazy stuff.

Google is famous for making the tiniest changes to pixel locations based on the data it accrues through its tests. Google will always choose a spartan webpage that converts over a beautiful page that doesn't have the data to back it up.

Leading economists have shown that by shrinking Texas, we can actually create more income for Texas in the long run.

Algorithm Characteristics

simplification, 80–20 style, leads to more business as usual.

we want value, we want value soon, and we want highest value first.

the logic of the inverted-U curve is that the same strategies that work really well at first stop working past a certain point

In the wrong environment your weakness is evident, but in the right environment, you function from a place of strength.

Simple works, complex fails.

Automation applied to an inefficient operation will magnify the inefficiency.

Let the computer do the repetitious, the mundane—it will do a better job of it than we would. We've got more important and more difficult things to do.