I get how this works in the senate. How does it work in the house?
porcoesphino
It reminds me of Trumpet of Patriots in Australia:
Yeah, agreed the Europe case just kinda works. And yeah, there are plenty of countries with big broad roads and they're mostly hostile to bikes.
I still think there is a bit of overemphasis on infrastructure over culture. If you can look out for bikes and cars on a windy road you can on a better road. And trucks are pretty cultural. At least the large ones. Its pretty frustrating how well the US exports culture because they're becoming more common around the world
I'm in Europe now walking down streets that are wide enough for a single car seeing other hikers and bikers and cars stopping for each other. Agreed these roads aren't designed for cars hitting top speed with wide margins around them, but at least some of these comments are written in this thread are US is special / there needs to be an ideal design for bicycles or nothing is just aggregating to read
Probably the only interesting part of that study to me is how they are measuring "erratic" which is using a measure they've called "novelty". Its in appendix A1:
A.1 Embedding and Novelty Measurement
To quantify content novelty, we first convert the text of each post into a high-dimensional vector representation (embedding). This process begins by cleaning the raw post content (e.g., stripping HTML tags) and feeding the text into a pre-trained SentenceTransformer model, specifically all-MiniLM-L6-v2. This model maps each post to a 384-dimensional vector. From the full corpus of N posts, we obtain a matrix of “raw" embeddings.
These raw embeddings are known to suffer from anisotropy (a non-uniform distribution in the vector space), which can make distance metrics unreliable [li2020sentence]. To correct this, we apply a standard decorrelation step. We fit a Principal Component Analysis model with whitening to the entire matrix 𝐄~raw~. This transformation de-correlates the features and scales them to have unit variance, yielding a matrix of ‘whitened’ embeddings, 𝐄~white~ [su2021whitening]. These whitened vectors are used for all novelty calculations.
There is a decent primer on the transformer here:
I'm not sure of a great primer on PCA, it kind of finds the dominant directions of a set of vectors.
With that novelty measurement the eracticness seems to be averaging over a window (seven day) and then measuring euclidean distance.
I did have a pint just before reading and writing this so there's probably some mistakes here
Yeah, if you need to, or accidentally update, its worth trying both of these to see what you like
Not accurate for anyone reading. It's still there in places. That's what I've been doing for weeks. An example is the pane when you swipe down for notifications but you'll find little occurrences around the place.
And just places that look glitch, like the messages app where the border for the contacts photo overlaps their name. It looks better with tinted then clear but clear looks terrible with text under it and that single location should have been enough for them to rethink the UI because it highlights the flaws that will generalise elsewhere
I'm surprised the article doesn't mention the six decade long silver fox domestication experiment:
https://evolution-outreach.biomedcentral.com/articles/10.1186/s12052-018-0090-x
They bred the tamest foxes from each generation and started seeing shortened snouts and floppy ears. Although there is some dispute about the initial population from a study in 2019. To my understanding the researchers with the dispute question the existence of domestication syndrome though, so the experiment would still align with the article. And I think there is some dispute over the neural crest cell explanation mentioned in the article too.
https://www.comicsands.com/aoc-mtg-revenge-tour
AOC on a livestream:
Marjorie Taylor Greene wanted to run for Senate in Georgia. She wanted to run for Senate earlier this year in the state of Georgia. She wanted to be the Republican nominee for Senate. So she was gearing up for that statewide race, and Trump told her no.
Trump said no. And the White House and Trump Land shut down Marjorie Taylor Greene’s personal ambitions to run for Senate, and she has been on a revenge tour ever since.
In that case you might like the PBS Eons video on the domestication of house cats (and it touches on some of the generalised processes):
I understand what proportional representation is.
I asked how you transition the house to it. You can't do that for each race that's currently done so you'll have to merge some, or add more representatives. In Australia, it's done at the state level, but it's done like that in the senate only. If you did it in the house in the US it's pretty similar to the regions senators represent, right? And a representative in the house is designed to represent a more local, smaller region aren't they? These days those regions are pretty gerrymandered so the system is pretty broken already but my question still stands: How do you do transition to that with the house?