238 karma · joined March 30, 2015
Many native mobile apps have these properties, and if mobile web apps want to compete they will have to as well.
In practice, that means generally minimizing network traffic, being smart about caching data, and providing soft failure modes.
Neither Liveview nor StimulusReflex are well suited to this problem space.
The idea of chattily streaming UI changes over the network doesn't work out for mobile web, where networks are frequently unreliable if not totally inaccessible.
As far as I can tell the only reason Evan doesn't include something like task ports is to purposely make interop less convenient (but no more safe) than it needs to be, in order to encourage people to write elm. However, I think this decision will end up biting him at the end of the day.
Also, listen to this. It's Jeff Deist's take on Richard Spencer.
https://www.youtube.com/watch?v=l6kJNHZvanI&t=1s
Within the video Deist advocates for what he calls a "Benedict Option" whereby a white ethnostate would secede from the US.
Overall the tone of the video is that Deist disagrees with Richard Spencer's economic stance, but that he doesn't take issue with Spencer's views on race.
"He understands that globalism is not liberalism, that identity and culture matter"
A quote from another article,
"Jeff Deist, President of the Ludwig von Mises Institute, a right-libertarian think tank for promoting Rothbardian anarcho-capitalism and the Austrian School of economics, said of the Alt-right that he found their writings "interesting...and somewhat refreshing".[20] In 2017, Deist concluded a speech at the Mises Institute titled 'For a New Libertarian' with the words, "In other words, blood and soil and God and nation still matter to people. Libertarians ignore this at the risk of irrelevance."[21]
https://en.wikipedia.org/wiki/Paleolibertarianism#United_Sta...
Note that "blood and soil" refers to the nazi phrase "blut and boden".
The difference between Bayesians and Frequentists is in the loss function that they attempt to minimize.
Bayesian loss functions assume a constant dataset and sums across one's hypothesis set.
Frequentist loss functions assume a constant hypothesis and sum over across possible datasets.
https://en.wikipedia.org/wiki/Loss_function
Really though this is false dichotomy, as it's perfectly possible to be both a Bayesian and a Frequentist by using a loss function which sums over both one's hypothesis set and across possible datasets.
https://github.com/krausest/js-framework-benchmark/blob/mast...
http://package.elm-lang.org/packages/elm-lang/html/2.0.0/Htm...