This week's "Hacker" "News" annotations are pretty good.


  • The United States Senate continues the war against their own users. One Hackernews suspects some kind of massive federal conspiracy to censor comments on Another suddenly realizes that people might disagree about things for reasons other than ignorance, and becomes distressed. The rest of the comments are people arguing about technical methods to work around the user-tracking they implement in their day jobs.

  • Google continues the war against their own users. The XMPP Memorial Society trades barbs about whose fault it is that a misdesigned overengineered shitshow of a protocol failed to gain traction amongst non-erlang enthusiasts. Every single messaging platform in current existence is held up as Obviously The Future. Hackernews tries to figure out what Google's master plan is, and why Google is working so hard to make it look like aimless poorly-managed floundering. IRCv3 continues to be a retarded pile of solutions to the wrong problems.

  • The United States House of Representatives continues the war against their own users. Hackernews is outraged, presumably because the rules will now enable other companies to compete with Google in the lucrative Fuck Everybody's Privacy market sector. The entire comment thread is just Hackernews arguing about political shit and deciding which elected officials are betraying the American people. Not a single goddamn Hackernews makes the obvious connection to the shit they do at work all day for a living. The tacit consensus: Hackernews isn't bad for creating the tools of surveillance capitalism; Congress is bad for letting people use them.

  • Some academics figure out how to make shit in pictures look like shit in other pictures. One Hackernews notices that the machine learning papers have largely stopped relying on mathematics or any other scientific endeavor; the others are ready with reassurances that someone will get around to formal research sooner or later. All this stuff is super worthwhile in the meantime because we can just keep passing around training sets verbatim and treating them as infallible, just like we do with node.js libraries! Both the machine learning community and the web development community are completely free of charlatans! Scout's honor!


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