hrm, bgp and dns. It's weird when decades old technology somehow fails like this. The main reason distributed systems is hard is because of the time component. Whenever you add timeouts to an algorithm, everything becomes orders of magnitude more difficult to reason about, as the number of states grows without bound. In any case, this is an epic outage and sad.
I think the connections are actually pretty obvious. Covid was like an atom bomb. No kind of sane invisible hand could have intelligently responded. Which is why the evil fed has very incompetently responded. You could write the same story about the restaurant industry.
The Fed strikes back. The most disturbing thing about this article is that Mailchimp is worth 12b and that Intuit had 12b to spend on it. Couldn't have happened 2 years ago, regardless of demand/supply, product market fit, business strategy, etc.
twtr is also bad (requires an account just to read its amazingly intellectual social media content), but people still use it. Sigh. Let's blacklist this blogger guy for his perpetual crimes against civilization.
From his perspective: he is set regardless. Much better to ride out the amazing windfall of his own creation than vesting in peace at some mediocre ladder-driven megacorp.
Would be cool if the US economy could be driven by supply and demand. Housing is needed - more houses are built. Not sure why that can't be the case. This isn't Tokyo.
As a fun exercise, try to get a house built in any metro area with a pop > 750k and see what you have to go through and how expensive and time consuming it is to jump through all of the hoops. You will find the answer to your question.
In most cities and towns across the US, you have to retain half the state bar association simply to get the permits to do the environmental and traffic pattern studies that must be submitted to the approval council before you can get permission to build.
> Housing is needed - more houses are built. Not sure why that can't be the case.
You arrive in a room with no inspectors. To the North is, "Of course we'd still have inspectors." To the East is, "Privatize all the inspectors." To the West is, "Let's build a disruptive app to facilitate illegal barn raising."
To the South is, "Let me revise my initial statement..."
>>Housing is needed - more houses are built. Not sure why that can't be the case.
Because every unit increase in a circle's radius r, causes the area to go up by r*r. These ever increasing concentric circles, cause infrastructure demands and spending to keep going up by factors of square.
Every unit increase in a Pizza's radius demands more and more cheese. To a point you will realize you get more Pizza when you order a very large Pizza than ordering 2 small Pizza's.
At some point you get two cities for Cheap than expanding an existing one.
You just can't keep building additional housing this way. In Bay Area where people stay as far as San Ramon and travel to work, you realise the taxes are just crazy high.
This is trolling, but as most of the HN comments here mention the dragon book and a careless reader may get the same impression, let me reply seriously anyway, and point out that the Turing award is not for that: https://awards.acm.org/about/2020-turing
It is for their pioneering research work in algorithms and theory related to compilers (some of which indeed went into some of their books later). Also, even if you consider only books, they wrote nine books, and neither of the two mentioned as most influential is "the dragon book". The first mentioned is the book by Aho, Hopcraft and Ullman: Design and Analysis of Computer Algorithms (1974)
> a classic in the field and was one of the most cited books in computer science research for more than a decade. It became the standard textbook for algorithms courses throughout the world when computer science was still an emerging field.
This predates other major algorithms textbooks like say Kleinberg and Tardos (2005), Skiena (1st ed 1997), CLRS (1st ed 1990), or Sedgewick (1st ed 1983). Easily the standard textbook for more than a decade (and still used in some universities; it's still in print in some countries).
> Principles of Compiler Design (1977)
This is the "green dragon book", not to be confused with Compilers: Principles, Techniques, and Tools (1986, 2nd ed 2006) aka the "red dragon book" and the one people usually mean by "dragon book". This book is not even mentioned in the award citation. (Their automata book was widely used too.)
So the idea that the award was given solely or even primarily for the dragon book seems entirely inaccurate. The Wikipedia pages on Aho and Ullman give some idea of their work: indexed grammars, nested-stack automata, egrep, fgrep / Aho-Corasick algorithm, the algorithms that went into yacc and lex, AWK (Aho), and "one of the founders of the field of database theory" (Ullman).
