https://www.usuallypragmatic.com/ember/
It has live examples in coding / data visualization / image display / animation / etc, with the ability to toggle the color palettes as well as toggle redshift on/off.
561 karma · joined September 15, 2009
https://www.usuallypragmatic.com/ember/
It has live examples in coding / data visualization / image display / animation / etc, with the ability to toggle the color palettes as well as toggle redshift on/off.
And it's an great question about relativistic redshift! That actually would end up with more or less the opposite result: you'd want to shift all of your palette colors and meaning into commanded-blue channels.
That's because the relativistic redshift pulls everything to longer wavelengths, so as you approached the speed of light, you'd start literally losing colors as they got red-shifted out of the human visual range.
The first thing you'd lose is the red channels (which would get shifted into the infrared, and thus be invisible). That happens at about 0.2c, depending on the wavelength of the red LEDs in your screen.
Then you lose green once you get to about 0.38c.
Blue doesn't disappear from your visible range until you get up to ~0.52c.
Faster than that, and the only things you'll be able to see with naked eye started off as ultraviolet frequencies (or above)! (aka - you'd need HW changes to your screen, so it's outside the realm of SW to fix)
Then, back in 2010, when I was just getting into startups, I spent two weeks straight at Powell's in Portland reading through their graphic design section.
After that, I never got very far away from light or perception... AR/VR -> graphics -> silicon photonics -> physical AI (now).
I'm still very much learning, but if you like this stuff and want to learn more yourself there's a couple sources I can recommend:
- Interaction of Color, by Josef Albers. Amazing book, but you really want to get a physical copy.
- I really like this talk from SciPy 2015 to get a sense of how people work with and talk about color maps in practice: https://www.youtube.com/watch?v=xAoljeRJ3lU
- This is a really, really thorough (and beautifully illustrated) article on what color spaces are: https://www.makingsoftware.com/chapters/color-spaces-models-...
- And last, I wrote a very technical blog post a few years back, if you want to see some math on a bunch of this: https://www.usuallypragmatic.com/projects/Generating-Color-T...
I think the current weakest part is the explanation of the science behind it, but I'm curious if there was anything specific that jumped out at you.
This reminds me of "trompe l'oeil foods"... dishes that appear to be one thing, but are another entirely. Or maybe optical illusions more generally.
Maybe the most fun, though, was just playing around and "picking up" paperclips and tiny screws by flicking my finger at them.
I wanted to actually build first-hand intuition on all of the choices around hyperparameter choices, activation functions, network architectures, etc. So I've been rigorously exploring them by training and testing models off of the mnist dataset.
Coming up soon: vision transformers, depth-of-architecture on CNNs, batch size investigations, and more.
Let me know if any of you have any suggestions of things to investigate next!
- Nagi, Japan. TFR: 2.95 (replacement rate is ~2.1). Astonishing. This is the only true success in the article.
- Nagareyama, Japan. TFR: 1.5. At this rate, the population will drop by ~25% every generation.
- South Tyrol, Italy. TFR: 1.64. Marginally better than Nagareyama. Noticeably better than the rest of Italy (TFR: 1.2), but still a population in strong decline.
- Czechia. TFR: 1.6 (https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?location...). Better than the European median, but not exceptional. Roughly on a par with Lithuania (1.63), Belgium (1.59), and the UK (1.57). Noticeably behind France (1.79). None of these countries at such TFRs are even capable of maintaining their population at a stable level, and should all be regarded as undergoing some level of population collapse.
For example, even the suitability to obtain a deep squat may be affected by things like hip joint geometry: https://www.otpbooks.com/stuart-mcgill-hip-anatomy/
It's my understanding that they've known the folks at Bantam for some time now, and that given how hard it can be to run a physical product company (especially one that does some in-house manufacturing for your own products!) in the bay area, that they're looking forward to having such niceties as 'pto'.
They're really excellent people, and made a huge difference to me when I first moved to the bay area, so while it's sad to see them leave, I understand it, and hope this leads to a better situation all around for them.
So, say you're on earth and you measure the speed of light... you find that it's c (~3x10^8 m/s).
Now you get on a spaceship and accelerate to 0.5c with respect to earth, and you measure the speed of light relative to your spaceship... still c!
In this way, you can't really define a reference frame with a speed "the same as the speed of light". And if you try, you'll run into nasty infinities in all your equations that will cause them to blow up and stop being useful.
#! /bin/bash
function todo {
if [ $# -eq 0 ]
then
vim ~/Dropbox/todo/todo_list.txt
else
vim "$HOME/Dropbox/todo/todo_list_$1.txt"
fi
}
Sourcing this in my shell means I just have to type... todo
To automatically get into my default todo list which is synced to dropbox (and thus accessible everywhere on mobile as well).While, whenever I have a new project/etc come up, I can just
todo new_project_name
And get a new, nice clean file, with the same backups and multi-device accessibility.For reference, though I now work in tech, I have a physics degree from a top-10 worldwide university, and reviewing linear algebra on math academy has not only been great to re-learn things I've forgotten, I'm confident that it's taught me at least a few things that I've never encountered before.
So yeah, it's legit in my book.
I also think that one of the reasons it gets such rave reviews/etc from folks using it is that it's, frankly, not that well known yet, and we users who like it _really_ like it, so we want to see it stick around and grow further for our own use too!
I switched over to it ages ago after the death of google reader, and it's held up remarkably well for me, and now also includes welcome features for, e.g., intaking email newsletters, conducting automatic content-specific web searches, etc into the same RSS-reader UI.
It's one SW subscription I'm happy to pay for.
For specific example, I've literally studied linear algebra probably close to a dozen times in my life, including full courses from two different universities whose names end with "institute of technology", and I'm currently using math academy to review the subject again. I've already encountered several things that are straight up new to me, and the presentation/practice and spaced repetition review of the things I just never managed to lock into my long term memory is already helping me finally own them.
By my understanding, the case for stimulus checks leading to inflation comes when the stimulus checks are paid for by printing more money (thus increasing the overall money supply).
This program is not that. This program is providing a tax refund from CA's tax surplus. No new money is being created. The only change is who gets to decide how the money is being spent? (e.g., the state? or the people?)
If CA could have seen the future, they could have achieved the same end by lowering taxes this last year for people in an equivalent amount. Would anyone seriously argue that lowering taxes is inflationary? How about the contrapositive? Would anyone seriously argue that we should fight inflation by _raising taxes_?
That said, a well sharpened kitchen knife should have no problem at all with tomato skins.
"Sharpness" is related to the physical size and radius of curvature of the apex of the blade, combined with the angle of the terminal bevel. [1][2][3]
Chipping of any sort almost certainly tends to erode the sharpness for many reasons, not least of which is that a sharp edge is a very low entropy state (compared to a dulled / chipped / etc edge...).
VG-10 steel is considered "entry level" in terms of high end steels. [4] It was first introduced in production knives in the mid-90s, almost thirty years ago! [5] And there has been significant progress in materials since then.
Almost all mid- and high-end knives these days are cut from blanks via an industrial laser or waterjet cutter.
-----
[1] https://scienceofsharp.com/2014/01/25/quantifying-sharp/
[2] https://scienceofsharp.com/2014/08/18/definitions-of-sharp-a...
[3] https://scienceofsharp.com/2015/03/24/sharp-and-keen-part-2/
[4] https://www.bladehq.com/cat--Best-Knife-Steel-Guide--3368
https://www.usuallypragmatic.com
I'm a physicist who's landed in the tech industry, so it's full of all sorts of miscellanea.
Here's a few good places to start:
https://www.usuallypragmatic.com/misc/Logarithmic-Birthdays....
https://www.usuallypragmatic.com/projects/Generating-Color-T...
https://www.usuallypragmatic.com/blog/2020-08-10-How-do-you-...
https://www.usuallypragmatic.com/projects/How-do-you-learn-(...
Key to remember is that power lines can spark when they're damaged by winds (which can lead to the lines themselves being close enough to the ground for the spark to traverse to the underbrush).