spenrose

I still miss the original abstract:

- Seriously, fuck it.

Thanks for the book recommendation.

“the problem shifts from the specifics of mental health and policing interactions to politics and getting elected.” +1. Another response to your comment mentions forces being small, which touches on a fundamental dynamic: Baumol-ian labor costs. As long as policing is defined as “an officer showing up” it will grow inexorably more expensive. Many HN commenters are foot soldiers in the effort to oppose automation in the form of cameras, drones, etc.

Y’all might enjoy Virginia Postrel’s _The Fabric of Civilization_ , which mostly covers the last few thousand years.

Got caught in a day-long traffic jam leaving a rural area in North America after the 2017 total eclipse.

As usual, this paean to deductive reasoning (“formal methods”) leaves out its fundamental limit: how closely do the postulates and definitions fit the domain they purport to map? (“In theory, there is no difference between theory and practice. In practice ...”) My guess is that Jane Street maintains large code bodies where the mapping is 1:1, because the purpose of the code is to implement a deterministic algorithm. Many other coders work in such areas. But millions of us don’t: most UIs, most exploratory work, etc.

There is a movement parallel to formal methods to define acceptance criteria at high resolution but not logico-mathematically, which at least grapples with the mapping problem but can’t resolve it where the map isn’t the territory, which is most places. Has Google’s results page, with its extremely evolved internal optimization frameworks really hit an optimum? Could that prototype you whipped up to capture a hazy idea have better illustrated it? These questions are best answered by looking outside the system to what the system serves.

Indeed. The problem arises from a two step:

1. Free Software / Open Source are Good and True by assertion. There is no God but source code, and Stallman is its prophet. 2. Questions whose answers tend to contradict point 1., such as “Gee, the world runs on Python — as wonderful as job as Guido and his inner circle have done, is it time to ask what an ideal management structure for a technology worth (tens? hundreds? of) billions of dollars might be?” are not welcome — are largely not asked.

Fantastic piece: shows how fundamental dynamics (queuing) generate practical problems AND what to do about them. This essay is better than 95% of tech blog posts I read via HN. Kudos!

An original sin of Free Software which carried through to Open Source and infects HN via its many Open Source believers is a reluctance to take project management seriously. OP shows that Jellyfin’s dictat... er, maintainer is not effectively managing the project. Open Source has no adequate answers (“fork” is not adequate).

“... when I was 7. I'm 50 now and the thing I loved has changed”

Welcome to the human condition, my friend. The good news is that a plurality of novels, TV shows, country songs, etc. can provide empathy for and insight into your experience.

“Finally, Bucciarelli is right that systems like telephony are so inherently complex, have been built on top of so many different layers in so many different places, that no one person can ever actually understand how the whole thing works. This is the fundamental nature of complex technologies: our knowledge of these systems will always be partial, at best. Yes, AI will make this situation worse. But it’s a situation that we’ve been in for a long time.”

This perspective dates to at least 1940, when the population was a fraction of the current size. The fantastic Charles C. Mann wrote an excellent book, The Wizard and the Prophet, about it.

Regarding water specifically, we now have multiple desalination projects of 1MM m^3/day, enough to support a city of 4MM people. They are expensive, but getting cheaper, and real (rich) polities in the Middle East are relying on them.