Being pedantic it is added detail. As native Americans did it, even if they still do it, they could have originally/historically not done so.

And also are there tribes/larger groups of native americans that did stop doing it? Then that statement is even stronger

That does not need to be the case (seeing that you probably meant this in jest, I still will take it on). Assuming the cat is already a higher dimensional being, which I feel is valid as it can move between them.

Imagine a Cube going through a 2D plane. You would see a cross section of the cube depending on the angle it goes through. The same would be the case for a hypercube in 4D and 3D (different effect as different cross section though).

So I would argue the comic is correct.

True, ML and such fell under the umbrella term of AI before, but I feel that with most people using it mostly for LLMs (or things like diffusion models, etc.) right now, it has kinda lost that meaning to some extent...

Had some conversation with another commenter, I agree with you now. Cheers

Thanks for sharing that paper. I was indeed missing that information and now agree with your earlier statement.

I think them using magnetohydrodynamical black hole models as a base for the ML is a better approach than standard CLEAN though that the Japanese team used. However, both "only" approach reality.

This is one team that disagrees out of many that agree.

To explain what you are seeing. The above image is the inverse Fourier transform (FT) of different frequencies of sinus waves that compose an image.

The very large baseline interferometer (VLBI) applied in the event horizon telescope (EHT) is using different telescopes all over the world, in a technique called interferometry, to achieve high enough resolutions to observe different frequencies in Fourier space that make up an image. If you observe all, you can recreate the full image perfectly. They did not, they observed for a long time and thus got a hefty amount of these "spatial" frequencies. Then they use techniques that limit the image to physical reality (e.g. no negative intensities/fluxes) and clean it from artefacts. Then transform it to image space (via the inverse FT)

Thereby, they get an actual image that approximates reality. There is no AI used at all. The researchers from Japan argued for different approach to the data, getting a slightly different inclination in that image. This may well be as the data is still too few to 100 % determine the shape, but looks more to me like they chose very different assumptions (which many other researchers do not agree with).

Edit: They did use ML for simulations to compare their sampling of the Fourier space to.

What do you mean AI? This is an interferometric Image reconstructed from information of the very large baseline interferometer (VLBI).

Edit: Although I wouldn't call it AI, they used machine learning (ML) with simulations in their image reconstruction, so I agree

With heroic, GOG games work flawlessly, you can use both proton and wine with it. Also supports Epic Games and other games from launchers.

Native GOG launcher on Linux would be nice, too though

A hue of orange

Nitpick, oder than the federal republic of Germany yes, older than the German Empire founded in 1870, no

Similar to the original meaning of this post. Many countries forbid people to enter the military and similar office, if they are known to hold extreme believes (e.g. extreme right wing rhetoric has been used by them or such). Not always foolproof though

I think you are correct as it is now. And I do agree, as it is right now it is not practical to be completely secular for people holding these offices.

However, ideally, these groups would not need the recognition in this way as they ought to already have it otherwise and understanding that at some places some things are limited, should not discourage them to believe in what they want.