At work a mix of red hat, fedora, centos, and red hawk. At home mint debian spin. It just works and games run great. I don’t have time to deal with the red hat crap if i’m not getting paid.

TNG season 3. The first two sessions are pretty rough. Start with 3. If you ever do a rewatch then try starting with season 1. Then try DS9.

TOS is good if you can handle the very low budget look.

More then 3 planets.

Recasting one actor for a character that race isn’t an important characteristic isn’t white washing.

The problem with Into Darkness is how bad the writing and acting are. They took one of the most popular Star Trek movies and remade it badly.

Presumably Alex Kurtzman.

Honestly it’s better but still a mess of design choices. For open source graphics editor check out Krita.

We have a conservative party and a very conservative party.

It looks whole lot like a rocket. It’s almost like there is a shape that works well for the job.

Seriously. I’ve abandon my proton vpn account because the linux port forwarding was such garbage. Absolute garbage implementation for an advertised feature.

Like what Regan did when Carter was president.

Reminds me of the primordial soup game where each players microbes need to eat to the poop of the other players. And yes it’s a German game.

https://en.m.wikipedia.org/wiki/Primordial_Soup_(board_game)

For ntsc vhs players it wasnt a component in the vcr that was made for copy protection. They would add garbled color burst signals. This would desync the automatic color burst sync system on the vcr.

CRT TVs didn’t need this component but some fancy tvs would also have the same problem with macrovission.

The color burst system was actually a pretty cool invention from the time broadcast started to add color. They needed to be able stay compatible with existing black and white tv.

The solution was to not change the black and white image being sent but add the color offset information on a higher frequency and color TVs would combine the signals.

This was easy for CRT as the electron beam would sweep across the screen changing intensity as it hit each black and white pixel.

To display color each black and white pixel was a RGB triangle of pixels. So you would add small offset to the beam up or down to make it more or less green and left or right to adjust the red and blue.

Those adjustment knobs on old tvs were in part you manually targeting the beam adjustment to hit the pixels just right.

VCRs didn’t usually have these adjustments so they needed a auto system to keep the color synced in the recording.

Pretty specific use case. A normal OS handleds time slicing and core assignment for processes and uses it’s judgement for that. So at any time your process can be suspended and you don’t know when you get your next time slice.

Same with when you make wait calls. You might say wait 100ms but it may be much longer before your process gets to run again.

In a real time OS if you have real time priority the OS will suspend anything else including it self to give you the time you request. It also won’t suspend you no matter how long you use the core.

So if you need to control a process with extreme precision like a chemical manufacturing process, medical device, or flying a rocket where being 10ms late means failure they are required.

However with great power comes great responsibility. You need to make sure your code calls sleep frequently enough that other tasks have time to run. Including things like file io or the gui.

Cool. I remember having to use Red Hawk Linux years ago. It’s a real time variant of Red Hat. It was such a pain to get the dependencies workin on it.

The solution for this is usually counter training. Granted my experience is on the opposite end training ai vision systems to id real objects.

So you train up your detector ai on hand tagged images. When it gets good you use it to train a generator ai until the generator is good at fooling the detector.

Then you train the detector on new tagged real data and the new ai generated data. Once it’s good at detection again you train the generator ai on the new detector.

Repeate several times and you usually get a solid detector and a good generator as a side effect.

The thing is you need new real human tagged data for each new generation. None of the companies want to generate new human tagged data sets as it’s expensive.

Yeah. The thing that made me “get” quaternions was thinking about clocks. The hands move around in a 2d plane. You can represent the tips position with just x,y. However the axis that they rotate around is the z axis.

To do a n dimensional rotation you need a n+1 dimensional axis. So to do a 3D rotation you need a 4D axis. This is bassicly a quat.

You can use trig to get there in parts but it requires you to be careful to keep your planes distinct. If your planes get parallel you get gimbal lock. This never happens when working with quats.

No. It’s more what the previous poster said about encoding rotation. It’s just not a xyz axes. It’s current, charge, flux as axes. The trig is how you collapse the 3d system into a 2d or 1d projection. You lose some information but it’s more useful from a spefic reference.

Without complex numbers you can’t properly represent the information.

Yeah a good friend of mine has a PHD in math. I asked him how he would describe math. His answer was a set of rules for dealing with numbers. What’s important is how useful the rules are.

Yup. When you have a circuit that is not purely resistive the inductive or capacitive load causes the voltage and current to not be in phase. It looks like ohms law is being violated. However the missing part of the energy is in the imaginary component to be returned latter.

Or toss a flash bang in the crib.