333 karma · joined February 25, 2021
I'm part of the mobile communication industry (while being in research) and part of my job is interacting with operators.
It's not impossible, but you need data that exists (like house-to-name mapping) from databases outside of the reach of the operators.
And the location information in the network is only as precise as needed. Most of the time this is a cell area, so 100s of m2.
For US companies: read something on the recent twitter example.
On the topic of 'telcos don't take security seriously', CoryD recently wrote some wise words in https://pluralistic.net/2022/08/12/regulatory-uncapture/#con...
"The public-private surveillance partnership is very old, and it's key to monopolists' strategy. It took 69 years to break up AT&T, because every time trustbusters came close, America's cops and spies and military would spring into action, insisting that the Bell System was America's "national champion," needed to defend it from foreign enemies. The Pentagon rescued Ma Bell from breakup in the 50s by claiming that the Korean War couldn't be won without AT&T's help"
I know some people in designing 5G, that were rather frustrated by outside influence on "can we have another unsafe option also, just in case we need it?"
We already see helpless activities to be better with AI (and a lot of computing) then classical optimisation theory (think solving PDEs) and failing.
Just more computing power will not help (except people whose business model relies on selling you computing power)
There is no way to avoid this.
In the 95% of other cases, use a library solutions, read about solutions that exist, try to learn from similar solutions. Don't reinvent the wheel.
It's not wrong to do experiments, learn from that and apply the know-how to production code.