[alttab]

Ok - if we are going to narrow the scope of the debate to the nature of the scanning, that is the core of my argument to begin with.

I'm not an expert in how CSAM works, but if it only as a block list against certain images it will be very ineffective.

The way I would expect it to work, is to recognize the content of images. The SOTA on this is pretty impressive. Knowing the content of the images is what Google does in the cloud, and its great. I can search my images for "Green taxi" and it will find it. Water. Sunsets. Anything.

If apple is introducing the ability to recognize photo content on the device (even if right now it is destined for the cloud as a pre-scan), it doesn't really matter that the model is only tuned to find child abuse, as an example.

Tomorrow, the hyper-parameters or the ontology could be expanded to search for anything. Political affiliations, location and timestamps (this doesn't even need modeling!), illegal objects or substances, etc.

The deal is that Apple is saying "we are going to use your device to determine what is in your pictures." The circumstances and scope of those determinations can change, but the expectation that Apple will be doing it is now publicly established.

[zepto]

> I'm not an expert in how CSAM works,

You don’t have to be. It’s easy to find docs on this exact technology with Google.

> but if it only as a block list against certain images it will be very ineffective.

It is not.

> The way I would expect it to work,

You are basically completely wrong. Read up on it and then we can discuss it.