Most open source maintainers never “license [any] stuff you maintain for big bucks” that is often hard to do and/or goes against the philosophy of open source entirely.

And I don’t even think this is malicious behaviour as it just nukes the code of this package and nothing else if you are not being careful yourself…

If you don’t do version control you are not a good programmer, imo

I think in the U.S.A. it is usually the latter nowadays, where a cook also preps dishes for you? With a grill plate in the middle made out of sheet metal.

The former is traditionally japanese

There are public archives. See Zenodo. Not sure what the author is complaining about.

Well Passkeys are a good step to enhance security and remove potential backdoors from companies for one. As you have your private key that cannot be easily imitated and is checked by the company that you use.

And generally speaking, your phone can be attacked via software without even having physical access. So if your phone is infected they gain access (at some point during usage) to both your password manager and your 2FA. It is just never a good idea to have multiple thongs in one place.

On a side note, with physical access to one of your devices for a longer time, most things can be accessed by a malicious actor.

You can force auth on hardware passkeys for every activation. A sort of local password. Much more secure, also if somebody is in possession of your passkey and you didn’t just loose it somewhere you would be fucked anyways.

I have three, one for home, one for backup, and one for travel. I can See why ppl. Are annoyed by that, but speaking of costs, you can get these starting from ~20 Dollars. Additionally, passkeys could and should replace passwords and not EB generally used as 2FA.

Also many password managers (incl. FOSS) do support Passkeys, but having them in your password manager makes them arguably useless. Same if you use 2FA on your phone and a password manager and your phone gets compromised somehow.

Not if it comes to hardware-based passkeys I would argue

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

Not E2EE though