from that article: “Gallows Humor is, by definition, from the perspective of the victim or at least expressing empathy. If anyone else laughs at the victim or the author tries to make the situation funny, it’s some other form of Black Comedy. This trope is generally when the joke itself or simple laughter allows you to deal with your problems.”

I guess it depends on your perspective. Who’s the victim here.

time for some kind of anonymizing location data sharing service, peer to peer or federated protocol? that might be interesting, or sketchy, not sure which.

Pretty sure you can download the maps ahead of time, GPS doesn’t require data, then upload the fixes when you get home.

Go map keeps crashing for me, does it for you?

I’ve been using Go Map! but it keeps crashing… Maybe I’ll try Streetcomplete if it’s on apple.

Crawling and indexing lemmy inter-instance would be an incredible boon to discoverability on the platform.

It does. And Firefox is my default browser app.

I decided to translate the worksheet into GLSL code on shadertoy. It was really cool to see the gradients and sub-coordinate systems represented by the intermediate variables in the calculation. Smoke and mirrors. Maybe you might have some insight into some of the calculations. https://www.shadertoy.com/view/cllBzM

Any ideas?

I was thinking of doing three separate GOL simulations, one on each RGB channel, and letting the colors mix that way into like 6 colors. right now, I clamp the pixel brightness values to 0 or 1, so that’s why it’s black/white, or rather black/green.

2nd on the keep notes suggestion. I work on lots of unrelated projects, and each time I end up learning a bunch of new command line utilities, so I try to leave behind a text file describing some of the most useful commands I’d discovered that day. Usually helps me come back to a project and not be back at square one every time.

I thought there was something slightly peculiar about the narration.

Spinnaker

I hear you, but genetic change at the level of these diseases and traits can take on the order of hundreds of thousands of years or more to accumulate into meaningful trends. Social society is a part of that process, in the way it might be for other social animals. If social dynamics tend to result in communities harboring vulnerable individuals, then there is probably some selective advantage to that behavior, not the other way around.

This is a common misconception. These traits are not likely due to modern medicine (which is very, very new compared to the scale of human evolution). The environment plays a big role, but there is always a distribution of traits in a normal population, some good, some bad. Not to mention that what we might be self-selecting for must change very rapidly as civilizations rise and fall, preferences shift like the winds, and ethics rapidly evolve. I think this misconception can be dangerous, because of what you mentioned. Eugenics.

It’s very difficult and dangerous to be near an MRI ‘shutting down’. Assuming what you mean is turning of the magnet. The magnet is always on, its a coil of superconducting wire submerged in liquid helium with a very large permanent current flowing around it. In order to turn off the magnet quickly, the electric current must be quenched, which can happen if the coil every stops being a super conductor. The current starts heating the coil, causing the liquid helium to boil off, which doesn’t cool the coils as efficiently, and causes a rapid run-away effect where huge volumes of helium explode out of the machine, displacing all the breathable air in the room and blasting all the doors off their hinges, maybe even breaking windows. There’s a lot of energy stored in the coil. It’s not easy to turn it off.

Look up videos of MRI quenching

This game is super fun

The internet is a series of tubes.

Well, it is technically differential equations, but with weighted inputs like a NN. Here’s the equations

for each node (gene/morphogen) i. zi is the concentration of morphogen i, zj is that of j. f(x) is the sigmoid function, k1 is the maximum rate of expression, k2 is the degradation rate, b is the bias. wij is the weight for an edge from j to i.

This is just written in python, so the network is defined by a matrix with each number representing the weight between two of the edges. I ignore the edge if it’s weight is zero.

What are the standard symbols for genetic circuits?

edit: sorry it’s impossible to see the equations if you have a black background.

Damn, that’s cool.