Does anyone know what happened in March/April or is this just a sampling issue?

Astrophysicist here, I think you’d enjoy reading about the Hill Sphere and Roche limit. Not quite what you are asking for but comes close.

If they are empty, I would just delete them with rm -r Odin and do the same for Projects, otherwise you coul d for instance move all content of Projects to Odin with mv Projects/* Odin and then rename Odin with the same command mv Odin 'Odin Projects' and then delete the remaining Projects folder

Well no, the terminal is a software like any other. It just is sometimes more final about doing things (e.g. rm <file> will delete without asking twice) and you cab start other software from it or use within.

There are multiple layers between you and your hardware, rings of userspace (Starting with Ring 3) and at the end Kernel (Ring 0)

If you use mkdir 'Odin Projects' it will creste one folder/directory, without the ‘’ it will create individual directories for all inputs (e.g. Odin and Projects), which is what I think happened?

Sounds more like a bad watch or setting it up badly. Why would it delete anything anyways before backing it up on secondary media or in general?

Workouts are usually .gpx files which are kB in size. You cannot tell me there is no space on the watch for that. Mine stores all workouts I have ever done.

Actually, having played both… Yes

Believe me GO is worse

Oh sorry, I might have misunderstood your question. Yes, Codeberg is centralised, but it is registered at a public e.V. in Germany making it more open (not a company).

But then you could use what they use, Forgejo to self host.

Or Gittea as suggested by somebody else.

Codeberg, I can recommend

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.

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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

A hue of orange