So... Should we attack every country that slaughters its own people?

Anyone who knows 3d printers would recognize the sheer absurdity of suggesting a printer infer it is making a part for a gun. By the time a model reaches a printer it has been sliced and turned into GCODE from hundreds of parameters and there is NO WAY that any printer could tell what the hell it is printing. Nor could the software which does the slicing, since parts could be oriented any way making it extremely hard to recognize a part. And even if there was a database to search against matching shapes in 3d space is hard. And even if there was some code which attempted to align and check a part it could be easily circumvented - wipe the DB, alter the source code, negate the test, alter the part etc.

If states want to ban ghost guns then make the penalties for doing it so severe that it discourages people doing it. And start improving ways that ghost guns can be forensically matched back to the printers that made them so that if someone was suspected of making parts, that it could be proven in court.

No one can make session tracking with form variables or URL arguments as reliable as it is with cookies.

I have a lot of success with obscure, mostly-undocumented systems. Which models are you using? There's an enormous difference in capability level between the top-tier models and the next step down. Also a pretty big cost difference.

It can be, sure, but it's less reliable and more painful to work with.

If the law is about sale or sharing, not collection, then Google doesn't have to change anything, because Google doesn't sell or share data. That would be wasteful; Google's ad business is all about monetizing the data at Google, not giving someone else a chance to monetize it.

Sure, but isn't it interesting that the number of photos -- fuzzy or otherwise -- didn't massively increase when everyone started carrying cameras all the time? In fact it declined significantly.

The only logical conclusion is that the little gray men realized there were a lot more cameras about and became much more careful.

New Samsung cell phones have many connections to Google.

There need to be laws limiting Google's invasions to user devices.

Fewer than 1 of a hundred ads are interesting to me. Maybe 1 in a thousand.

It's possible the companies are flagrantly ignoring the opt out indication.

It's also possible that webXray is confusing ad/tracking cookies with cookies required for normal site operation, viewing any set-cookie command as a violation.

Based on my experience working at Google, I'm betting on the second possibility. But, we'll see. Either we'll hear some stories about the companies being fined, or sued, or prosecuted (depending how the law works), or this will just quietly disappear when someone educates webXray.

I do not want an input only device, and if I want headphones, I'll put one in each ear I want one in. Rarely is that both ears, and usually I consciously and specifically pick which ear I want.

What I do care the most about is a screen. I'm not so hung up on screen size or quality for now, I just want something that I can use easier than my phone. If you don't have a screen, what is the point?

(And yeah, it was a fun degree. Just a BA :) Decided to go back to school for a second degree on a topic that had long been of interest to me)

DNN-based, like nearly all modern AI. Not Transformers, as far as I'm aware.

Explain how this doesn't count as reasoning. Or this. To name just a couple examples.

Yes, they work by fuzzy logical reasoning. That is literally how neural networks, including the FFNs in Transformers, work. Every neuron is a fuzzy classifier that divides a superposition of questions formed by its input field by a fuzzy hyperplane, "answering" the superposition with an answer ranging from yes to no to anything in-between. Since the answers to each layer form the inputs to the next layer, the effective questions form grow with increasing complexity as network depth grows. Transformers works by combining DNNs with latent states (works on processing concepts, not raw data, with each FFN detecting concepts in their input and encoding resultant concepts into their output) and an attention mechanism (the FFNs of a given layer can choose what information they "want to look at" in the next FFN).

I also suspect that "interacting" with this AI is a surefire way for an employee to get flagged for a follow-up conversation with their manager or HR.

Metaverse was such a predictable failure that there is no way anyone with a creative or gaming head on their body would have shat out what Meta produced. It is the product of market studies, and demographics, and committees with final say by Zuckerberg. Something so boring, and without reason to exist, that people who Horizons rarely ever went back. They didn't even need to spend billions to know it was a terrible idea because Sony had already proven the point with Playstation Home which was arguably better than Horizons but still boring and pointless.

If Meta had instead chosen to make a fantasy RPG where people can make interesting characters and go out into the world and progress, explore etc then it would have had way more success. Or a Battle Royale style game. Or a bunch of well formed leisure pursuits - tennis, chess, sailing, arcade shooters, racing, pinball etc. Or all of the above over time. But they didn't. It was complete intellectual bankruptcy and lack of imagination.