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What are you jamming here? The wireless connection? Wouldn't the recorded data just be cached on device until out of the jamming range?

You would be jamming the audio and video, not the wireless (that is generally illegal). They have some devices to do this already with different noise generators and overloading the camera sensors to cause unidentifiable images (especially with IR night vision).

Aren't they going out of business in large numbers? I'm not sure how much of that has to do with the dating scene as much as it has to do with younger people drinking less though.

I think all attempts to explain "why <market based on discretionary spending by young people> is failing" that don't come to the conclusion "we're macro-economically cooked" are wrong.

Wouldn't virtualbox or vmware's paravirtual GPUs be a better fit for this use case? Unfortunately the offerings with qemu/libvirt still lag vmwares by a lot.

I know those offer virtual GPUs, but I am unfamiliar with any paravirtual GPU offerings from VMWare or VirtualBox. The virtual GPUs are much more limited in performance and graphics API support.

2 minutes. I think I would have boxed that up and returned it to the store as broken.

Heh, I really almost did. It started a big fight with the wife, and I lost the battle quickly. Not a day goes by that I don't wish I'd fought that fight.

I ended up picking them because they were the only open source one that worked on all my devices IIRC.

https://en.wikipedia.org/wiki/Comparison_of_OTP_applications


There are still VoIP services that function essentially the same. I switched to that recently because the real POTS service had been jacked up in price a crazy amount, probably because we were grandfathered into even having it since the company website didn't even seem to offer it anymore.

Can you even attach a POTS or POTS like device to Google Voice anymore? I was looking into this last month and it seemed like they had removed that feature and the devices people were using (they had stopped selling them some years ago) to do it stopped working recently.

I have an Ooma phone now and I just plugged my existing phones into the Ooma box which then works the same as an old landline for the most part.


Regarding minutes, how many minutes? My kids basically hog my VoIP "landline" talking to their cousins 50% of the time they're home. (They're actually playing games together and using the phone as voice chat). I've been thinking of trying to get a second line for them to hog but didn't want anything with limited minutes.

It is pay as you go $0.008/min

https://voip.ms/pricing


In Fall; or, Dodge in Hell by Neal Stephenson one of the characters happens by a group of young women wearing devices that project constantly changing colored light patterns onto their faces to prevent facial recognition tracking. It's barely even mentioned in the book but I wondered how viable that was of an idea. The character's only thought on the devices IIRC was that most people only occasionally wore them.

As with most things cyberpunk, Gibson also did this masterfully w/ the Panther Moderns, specifically Lupus Yonderboy. One of my favorite parts of Neuromancer is when Lupus has his interaction with Armitage and says (from the link below) "Lupus didn't bother to count it, being sure that 'Mr. Who' paid well to remain so, and not be a 'Mr. Name', which Armitage received as a threat."

Gibson (and later Stephenson) were prescient enough to realize that anonymity would be a commodity in the near future.

https://williamgibson.fandom.com/wiki/Lupus_Yonderboy

Really excited to see what Apple does with these guys in the upcoming adaptation.


Gibson also had the 'ugly t-shirt' in Zero History, designed to mess with facial recognition https://www.wired.com/story/facial-recognition-t-shirt-block...

It would work until algorithms were adjusted to it, which would happen as soon as significant number of people started doing it. Colors are defeated by desaturating, which is no issue since most face recognition algos run on greyscale data anyways. Blotches of bright and dark are defeated, for example, by a high-pass filter (eg: edge detection) on the brightness data to filter out large blotches but keep small detail

Best bet is an adversarial image, which is essentially reversing what a classification algo is looking for to get out the "Most banana-looking image", for example, and then using that. It, to the AI, looks so much like the category it's designed to look like, that all the weights of everything else in the image are too low in comparison and nothing else gets recognized.

Firefox already had a rebadged Mullvad VPN service. I thought about switching but I found it had way fewer payment options and the log policy did not look encouraging when I read it. Made it sound like not only did it keep some kind of connection logs but that they'd cough them up pretty easily. Maybe their policy has changed but it did not seem to be a compelling offering.

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