Currently between olives

  • 0 Posts
  • 7 Comments
Joined 2 years ago
cake
Cake day: June 1st, 2023

help-circle


  • Sure! ~/Library/IntelligencePlatform (associated with intelligenceplatformd) has a bunch with graph.db being the social graph, but with others like behaviors.db and eventLog.db also likely being relevant, and I think ontology.db was the one where they kept more information on the tags available for the social graph. ~/Library/Application\ Support/Knowledge/knowledgeC.db (associated with Spotlight’s knowledgeconstructiond, which I think used to be called knowledged in earlier versions) has the other stuff I mentioned.

    There’s also some system-level things in eg. /var/db/knowledgegraphd/ but I haven’t bothered looking into those yet because it’d require disabling SIP.


  • Well, it’s not like Apple doesn’t also collect pretty hair-raising information on you. Go digging through some of the sqlite databases on your machine and you’ll find eg. a social graph that even supports labels for things like political affiliations (I think this db was the one used by their ominously named “intelligence platform” service). Another db (which I think was for the knowledged daemon) has an incredibly detailed log of everything you do on your computer and phone, including eg. web URLs and millisecond granularity events on when you interact with your devices. Whether that social graph or all that other stuff ever leaves your devices is unknown (although eg. the knowledged stuff definitely does since I can see events for my phone on my laptop), but I wouldn’t count on it not being sent to Apple – regardless of what they claim.

    And yeah, sure, this is all to make “customer experience” better, but do you seriously believe that’s all they will be used for?

    Edit: and just as a side note, I’m not basing these claims on stuff I read online, but on actually having looked at the contents of those databases myself



  • Having seen a couple of data driven disasters, I’ve gotten extremely suspicious of data driven business. I’ve ranted about this in some earlier comments, but it seems to very often be the case that the business “intelligence” people producing the data not only apply statistics wrong (things like taking averages of averages when the sets have very different sizes, or not taking into account how skewed the distribution of some variable is etc etc), but also tend to define “KPIs” so that they don’t necessarily measure what they believe they’re measuring in the first place. On top of all that, there’s also the fact that using “engagement” (however the hell they measure or mismeasure it in each particular case) as a key metric that you try to optimize most likely won’t lead you to build a better product as much as it’ll be a product that takes up more of the users’ time.