You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
He has this idea that composing simple components is the way to make robust systems and that abstractions over complexity are worthless.Sounds reasonable, but we manage to build reliable chips even though the underlying physical mechanics we abstract over are tremendously complexpic.twitter.com/ESbBbYQKgB
The big productivity boosts have been abstractions that hide but don't eliminate underlying complexity. Gate-level design instead of transistor-level design, RTL instead of schematic capture, synthesis instead of doing raw circuit design, etc.
Later, he says you should just use data structures because they're "simple". Imagining the same idea in EE: no gates, only do layout because it's simpler. Metal, poly, and n/p-wells are "simple", why complicate things with gates? We're EEs, it's all physical layout in the end.pic.twitter.com/uEiZ1CY7Zk
As for software, why have data structures? Memory is actually very simple. There are not a tremendous number of variations in the essential nature of memory. There are locations that contain addresses. There are locations that contain values. There are not a lot of other concep
For software, I'm with Ousterhout (https://www.goodreads.com/book/show/39996759-a-philosophy-of-software-design …) - complexity is going to be somewhere; you win if you can corral a bunch of it in one place and present a simple interface to it.
If only there was a discipline studying complexity it could perhaps tell us that the effort required to understand the composition A₁ ∘…∘Aₙ is not only not polynomial in n, but not even exponential. Actually, there *is* a discipline that's shown us that: computer science.
Of course, such results mean that all conversations on the virtues of different kinds of composition are no more than hand-waiving, and, at best, empirical (which would actually be great, but almost none of them are).
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
