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Machine Learning Scale 2017 recap (facebook.com)
79 points by Dawny33 on Feb 18, 2017 | hide | past | favorite | 9 comments



>Detecting place visits at scale: Jan and Danielle offer a deep dive into a system capable of interpreting location signals coming from mobile devices at scale.

It's weird to see people proud of things that so seriously bother other people. Tracking everyone they can 24/7 is seriously creepy.


It's almost as if different people have different views and value systems and HN is a bubble... Nah, that can't be it...


It's not just this site.


Hey, doesn't "detecting place visit at scale" answer some of the comment question seen previously on HN? I remember someone saying they visited a bar and talked to someone and that someone was "recommended friend". And this video talks about asynchronous detection of your location. It detects you're both in the same bar for a period of time and that somehow contributes to you being recommended as friends? I might be chaining too many "if" and "maybe" here though. But the video is talking about this stuff at around 31 mins.

Edit: 14 mins in or 31 mins remaining, sorry.


This facebook engineer is using words like "Human Impact" and "Democratization" like facebook is an integral part of human life globally, crucial to their survival. I would tell this guy to sit the hell down you work on a boring social network that mostly old people use to perpetuate their ignoramist memes.

Next the engineer from internet explorer on topic how IE is saving the world.


Facebook is an integral part of human life globally whether you like it or not.


I don't agree. I live in the world biggest facebook user city, but I find that facebook is all of their life. If VR technology was settled before, I couldn't imagine how they live.

Oh, I have moved out of that city to a peaceful city for about 3 years now.


I don't understand how your comment is disagreeing.


Ha! Sorry, you don't get my joke. It's not "part" but "all"!




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