There are plenty of laws that aren't compatible with our constitution. Judges will laugh a lawyer out of the courtroom who uses constitutional arguments, and your case will go nowhere.
> Ethical oversight is baked into the institutions through governance structures.
Kind of a shocking assumption to make. Over the past several decades it has become increasingly apparent how our governing structures have no inherent relationship with ethics.
You’re extrapolating incidents that are being called out in the press to improve the system onto vast legislative infrastructure that is operating day after day for 100’s millions of people in this country.
You can simply not sign into a Google account, and Android lets you turn off more tracking than iOS, which won't even let you get your location without telling Apple. No need to install a custom ROM.
If you want to use an inferior Gmail client similar to the iOS Mail app, you can simply access Gmail using a third party mail client on Android exactly the same way.
The difference is you don't have to give your location to anybody on Android, while Apple makes you give them your location. You don't have to tell anybody that you installed an app on Android, while Apple knows every app you've installed and when you used each one.
FYI, Google maps works without you needing to sign in (iirc it doesn't even need Play services, so it works with de-googled custom ROMs). Though this is an exception rather than the norm.
You joke but there was a keynote where they (or maybe another tech brand.. can't remember) debuted their new special camera AI that was less discriminatory against black faces (by underexposing them of course).
This is the thing. These AI models aren't that impressive in what they do if you understand it. What's impressive is the massive amount of data. One day the law will catch up too because what they are all producing is literally just a combination of a lot of little pieces of compressed versions of human-produced things. In effect it's some type of distributed plagiarism.
It has long been experimentally shown that neural network do in fact generalise and do not just memorise the training samples. What we do not see here is the convergence of the empirical distribution to the ideal distribution, the data is too sparse, the dimensionality too high. The amount of data is undoubtably enormous but it is not so simple. Only years and years of research have lead to models that are capable of learning such enormous amounts of data, while we can also see steady improvements on fixed datasets which means we in facto do make real progress on quite a lot of fronts. More data-efficiency would be great but at least we do have those datasets for language-related tasks, also it has been shown that fine-tuning is working quite well which might be a way to escape the dreaded data-inefficiency of our learning models.
In the end, we are not really in the business of copying the brain but creating models that learn from data. If we arrive at a model that can solve the problem we are interested in through different means than a human would, e.g. first pre-train on half of the internet and then fine tune on your taks, we would be quite happy and it would not be seen as a dealbreaker. Of course, we would really like to have models that learn faster or have more skills, but it's amazing what's possible right now. What I find inspiring is how simple the fundamental building blocks are that our models are composed of, from gradient descent to matrix multiplication to Relus (just a max(x,0)). It's not magic, just research.
Sadly in some areas Uber eats and such have caused mom n pop delivery to disappear. There's a chain in Los Angeles, Lucifer's Pizza, which no longer offers delivery. If you call them up they tell you to use an app to order.
Papa John's in my area transparently subs delivery out to doordash now, and the experience is terrible. The drivers don't get tips (unless I happen to have cash, which I never do) and the pizzas arrive cold (presumably because they're trying to batch a lot of pizzas up in a single trip). I've given up on it.
I've been using Plex with a server for my music on it for a while. I'd like to eventually switch to subsonic. Music has always been very personal for me -- I still have some sub-1000 youtube view songs I found as a 12 year old. So I've always known Spotify wouldn't be an answer for me. There's definitely a lot of unique and sometimes Spotify-exclusive content on the platform.
That being said.... nothing ever changes. Any cloud music platform has always been just another radio-- whether they brand themselves that way or not. For the year or so that I used spotify I did find some gems, but I would forget about them as quickly as I found them.
I think of my media library as something I have to put work into to have it be meaningful. Organizing it, deciding what you keep and what you toss out, what to pay for what to skip, all make it more important to you and more memorable. Having a library in itself is also of course a useful UX thing to remind yourself what you like and continue to go back to it.
