Natanael

It can work when the nerves are intact but the bone in the ear (or another external mechanical part of the ear) is damaged. Won't work for somebody with deafness due to nerve damage

It sounds like there's a specific set of CPU instructions (or a specific sequence of them) which are especially affected, which that game engine uses much more than most other software

It started with U2F which may be older?

You only need one per website if you want it to autofill the username, because resident keys held on the security token can be recognized and suggested automatically but otherwise you must first enter your username on the website and let the website send its challenge value for the corresponding domain and account pair so that your security token can respond correctly.

Asymmetric cryptographic signing keypairs. An ECDSA variant is used to create and validate signatures. Your device creates a unique keypair per domain you register on. It only sends signatures, which doesn't reveal what the secret key is, and each signature is based on a single use challenge value.

The spec behind it is solid, it creates per-domain cryptographic keyspairs which allows your device to prove you're you in a standardized and secure way while avoiding adding a new way to track you across sites, and by using the device's TPM chip to hold the key it's also resistant to most types of manipulation.

Throw a wrench at the wheel. I don't think my aim is good today though, but it got quite the speed

Capabilities systems don't even know what the concept of root is. They do however know all about access control tokens for every last system API

They are more useful for quick templates than problem solving

But it doesn't model the actual universe, it models rumor mills

Today's LLM is the versificator machine of 1984. It cares not for truth, it cares for distracting you

Statistical associations is not equivalent to a world model, especially because they're neither deterministic nor even tries to prevent giving up conflicting answers. It models only use of language

It varies, there's definitely generative pieces involved but they try to not make it blatant

If we're talking evidence in court then it's practically speaking more important if the photographer themselves can testify about how accurate they think it is and how well it corresponds to what they saw. Any significantly AI edited photo effectively becomes as strong evidence as a diary entry written by a person on the scene, it backs up their testimony to a certain degree by checking for the witness' consistency over time instead of trusting it directly. The photo can lie just as much as the diary entry can, so it's a test for credibility instead.

If you use face swap then those photos are likely nearly unusable. Editing for colors and contrast, etc, still usable. Upscaling depends entirely on what the testimony is about. Identifying a person that's just a pixelated blob? Nope, won't do. Same with verifying what a scene looked like, such as identifying very pixelated objects, not OK. But upscaling a clear photo which you just wanted to be larger, where the photographer can attest to who the subject is? Still usable.