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A couple of years ago (before OpenÄI), i imagined that in the not-too-far future, an average iphone will probably call the police if it detects inappropriate behavior above some threshold. Like domestic violence, a robbery, etc.

The reasoning would be: because our AIs are so much part of everyone's life, it would be irresponsible to not call the police if the algorithm says so. Because we, as a multi-national, gigantic corporation, deeply care about everyone's well-being. That's our highest priority!


I think the reasoning would be much simpler: more and more services and personnel working in those services are becoming mandatory reporters through legislation and regulation.


Yes, that's very likely. While it seems that big-tech does not like regulations too much, i imagine that a regulation requiring them too listen-in on anything around their devices might actually one they'd not oppose, to say the least.


Sorry for the terrible utm parameters in the link but they are actually part of the story. No tracking involved on my side.

I just copied them from another post (#23546568) which stood out because it still had utm parameters after Hacker News obviously removes them since 2018.


Thank you. Actually i am not so concerned, for myself at least, i was just curious because there is irregularity in the data as one might say: https://defgsus.github.io/blog/2021/03/02/url-stats.html#que...


That is certainly good practice as you otherwise might disturb the statistics ;-)

Imagine sharing a link unaltered from some android app and now company X thinks the android users are actually growing.

If i think about it, actually, we should add randomly swizzled utm params to all posted links ;)


So actually, yes they got removed! I tried those typical:

?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed-Blabla


Sorry for the stupid link, i just wanted to test if HN is actually filtering out those utm parameters because they almost completely disappeared in May 2018.


This addon collects all browsing data like web-requests, tab-changes and mouse events and exports them to an elasticsearch server.

It's a self-surveillance tool for people that like statistical analysis


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