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@Shadowman311 I've been hearing about this sort of thing for years and I have a hard time taking it seriously
maybe you can make that work in a lab with carefully controlled conditions, but in a real world environment? any old router you want? nah
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@BitterPill @Shadowman311 I would assume every big American company is working hand in hand with the government
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@BitterPill @Shadowman311 the real world is not static
spaces that don't change very much -- like someone's living room -- are likely not open to you. the outside is mostly open but changes a lot. cars move around, the trees grow leaves and drop them, it snows, it rains, animals are wandering around, trash blows past
and if you can compromise a bunch of devices and hijack their cameras for this, why wouldn't you just selectively hijack the cameras and watch what they see instead of this overly complex crappy radar system?
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@deprecated_ii @Shadowman311 The cameras are most of the time not looking at anything interesting and could be of more use to feed an AI with data than to observe a subject in real time.
Question, do you think google needs to be hacked to gain this kind of access? Because I'm more inclined to believe they just provide backdoor access to glowies at all times. And those huge datacenters in Utah and wherever else aren't just for storing nigger dick porn to post on 4chan.
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@BitterPill @Shadowman311 because how is that supposed to work, in practice? this is yet another "if they can make the hack work, they don't need to because they already compromised the target" scenario
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@deprecated_ii @Shadowman311 well you said this wouldn't work outside of lab conditions
well what if they trained the AI in the real world?
and at any given moment there are many more phones in pockets, bags, or with cameras pointing away from subjects of interest
and sure dropping a nuke in the general area will get rid of the target every time, everything looks like a nail when you only have a hammer
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@BitterPill @Shadowman311 if you turn a router or a phone into a little radar and try to map the area, you'll get some result, but you will have no way of knowing if that result is accurate. there will be tons of interference the software can't compensate for because it has no knowledge of it, so it will detect things that don't exist and miss things that are there
as far as resolution, "AI" can't conjure data out of thing air; detail that was either lost or not captured in the first place is only "restored" by guessing
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@deprecated_ii @Shadowman311 in the op they trained the AI by using a camera alongside wifi signals
why wouldn't they do that with phones as I mentioned previously about them having all the damn sensors, simultaneously capture all that data to train the AI
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@BitterPill @Shadowman311 two big problems: resolution and interference
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@deprecated_ii @Shadowman311 Wouldn't the sheer amount of data collected from hundreds of millions of pozzed phones offset that?
Think of how they restore old movies from damaged film reels. Each frame can have a lot of damage, but it's rarely in the exact same spot as damage in adjacent frames. The restored version can never be perfect as some detail will be lost but it only has to be good enough for you to not notice the lost detail.
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@deprecated_ii @Shadowman311 youtube.com/watch?v=IRELLH86Edo
Phones have enough sensors in them combined with wifi capability for an AI to learn in just about all possible conditions.
But the people with access to AI like that are probably too busy lobotomizing it so that it's as anti-white as possible.
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BitterPill
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