I quite like .ion or .iot

What about HPE slingshot? This list is clearly incomplete.

Without knowing much about psychology, I would imagine separating the mindset into a set of orthogonal axis is pretty difficult and certainly the normal range would probably not follow a normal distribution in each axis. As a result the N-dimensional volume would not be a N-sphere but some complex topological shape. Possibly even consisting of multiple disjointed sets. If any of these assumptions are true then the global point average over the entire space may lie outside many of the “normal” ranges.

Imagine there are two balls, a red and a blue. You want to communicate to your friend rolling the only blue ball to them. In a ferromagnet there are only blue balls, in an antiferromagnet the blue and red balls are glued together and in an altermagnet there are both balls but they go in different directions so you just need to orient yourself correctly.

The antiferromagnet can’t be used for spintronics, the ferromagnet can but big magnetic field disturb other parts in a circuit.

Altermagnets are pretty interesting because their most defining feature is not the magnetic order in the materials. They look like ordinary antiferromagnets where the spins of adjacent atoms point in opposite direction and compensate each other, so no large magnetic fields are created. What differentiate altermagnets from antiferromagnets is how the electrons with different spin behave. When pulling current through altermagnets it will consist of purely spin up electrons along one crystal axis and purely spin down along orthogonal crystal axes. Thus the spin currents have a ‘alternating’ pattern, giving the name altermagnet. This is primarily exciting for the field of ‘spintronics’ which is all about creating technologies using spin currents.

Not all altermagnets are equally interesting, many antiferromagnets can be reclassified to altermagnets but they are generally insulating. (fun fact the first ever measured and textbook antiferromaget MnF2 is actually altermagnetic) So materials discovery of new altermagnets is important to find metallic, semi-metallic or even super conducting altermagnets.

I feel like I met some recursive endgame boss… I made a penguapplepenguinpenguapplepenguapplepenguin partially from pineapples and penguins and something else I spam combined

This certainly could be part of the motivation for publishing it this way, to make themselves more noticed by the big players. Btw, publishing in open source nature is expensive, it’s like 6-8000 euro for the big ones, so there definitely is a reason.

While in not in the field either, I do know that it is quite unusual in computer science academics to publish in actual peer reviewed journals. This is because it can be a long process, and the field is very fast moving, so your results would be outdated by the time you publish. Thus, a paper is typically synonymous with a conference proceeding, and can be found on arxiv. I found this Paper on the arxiv from 2017/2018 which seems to be when this paper was originally published for the scientific community and presented at a very “good” (if I had to guess) conference. Google scholar says this paper has 650 citations, so it probably has had quite some impact. However, I would guess this method is well known and is already implemented in many models, if it was truly disruptive.