I mean; the mechanics ensure that it kinda is. Are these good mechanics?

This is a major ‘upside’ to centrally controlled spaces, they are tricky to exploit in several ways. I don’t think that maintaining a open community with both:

• Easy exploits;
• Social norms against using them;

is effective.

Either the exploitation is a feature that we accept, or we should rework the feature. Behavior is downstream of systems. How should we change the delete-post system?

We’ve lost one bird war already.

Has the S&P bent this rule before?

While I love the sentiment; I’m reading this decision by S&P as just about not bending their rules. AI is not thriving fast/convincingly enough to break tradition of big finance; I don’t think that makes S&P an ally. And I suspect this means they’ll just be joining a bit later.

Good to see anecdata that actually include the people they are about, instead of what an old person thinks their lives are like.

Getting started today does seem bleak.

Thank you. I could be persuaded to change the title, though I don’t think I have been. (You are perhaps not trying to, but I’ll record my reasoning anyway.)

Re: nobody is motivated to do this. True, and doesn’t contradict the title or content. Anybody could drive out and start toppling power poles and poisoning the water supply, fortunately most people are mostly good.

Re: some houses are well insulated. Congrats on your nice home! Many dream of having their own space someday. I think the most interesting case is in an apartment/condo/high density complex. In this setting, you have:

• the layout of the entire building, including other rooms. (modulo furniture and dustables; the walls are public.)
• many routers all over the building, overlapping and generally at different frequencies. When I AirBnB, I often see dozens of different networks from my bedroom. Note that for this style of attack, you don’t need to connect to anything.
• thin walls between units (often cheap).
• some incentive towards snooping. Who stole your packages? Which neighbor keeps letting the dog poop at your window?

Re: training required and the field of view This I find most compelling. I am interested in how much legitimate use is required; can we simply make login attempts? Or does it take somebody logged in? It’s hard for me to tell how customized the model must be (this is a setting where data is reasonably easy to generate in a lot of settings; perhaps enough so that, given a model slightly larger, we get something general?).

The original title was substantially less clickbait; I amped it up in the hopes of a reply like yours.

If you have a moment more to enlighten me, I think you’re claiming:

1. This technique is location and person specific; the models don’t generalize if you move the router or change the people (and retrain on less data)?
2. This method doesn’t determine where folks are (even when used with multiple routers) to any useful precision? (Forget who, you can guess whose in your neighbors house)
3. This method is nowhere near getting plausible pose data?

My (also not that deep) understanding is that this took a technique that was very walk dependent, and made it robust to different walks? I suspect you’d also need to vary what and where the conductive element is, I would think. Otherwise you’re just extremely conspicuous (for being an outlier) on every readout. It’s like adding an RFID tag to yourself.

the wonder is that folks walked in different ways, and were still identified correctly. Not walking, you might be mistaken for furniture tho.

In public spaces, this is already happening with CTV from nearby stores and such no?

This is a fun one; source? Who were these 2 groups?

The article suggests that women had more complicated garb that required support staff.

source on the size of the effects of lobbying vs flight risk?

I would like to agree with you, its just very not-obvious which influence dominates.

humerously, web archive also gave me a pop-up about my blocker. But ads aren’t served on web-archive? so I just turned the blocker off.

This is a compelling story; source?

There’s something I don’t understand here. See the wikipedia article, which shows billions in losses, and (eyeballing) a ratio of ~20-200, not 3. Anybody know what’s up?

Would like to see the data disaggregated by grade. If this is the culprit, then we’ll see a rebound as kids away from covid appear.

But I believe (based on data from, say, other countries) that we don’t see this. Reading scores have been tanking for some other reason.

(I admit, I liked the cloud crowd better.)

no link?

If we believe the internet, all of that is funneled to the CEOs, and so the previous post applies?

(Which seems absurd to me, but maybe the bills are rare enough that this makes sense? Does anybody have data on how big that figure is vs actual cost of the buildings+labor+materials? We could compare to other countries, but then I think we’re seeing a difference in infrastructure, social and physical, more than malfeasance.)