I helped build ByteDance's vast censorship machine, by @shenlulushen
“When I was at ByteDance, we received multiple requests to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session.” protocol.com/china/i-built-…
“The truth is, political speech comprised a tiny fraction of deleted content. Chinese netizens are fluent in self-censorship and know what not to say. ByteDance's platforms — Douyin, Toutiao, Xigua and Huoshan — are mostly entertainment apps.”
“Many of my colleagues felt uneasy about what we were doing. Some of them had studied journalism in college. Some were graduates of top universities. They were well-educated and liberal-leaning.”
Great debate with @chamath on CNBC about the deeper structural issues behind $GME and $AMC
Love the comments on YouTube:
“lol this CNBC dude is so concerned about my $200 invested…Fuck man…I never realized how much some people cared about me losing it.”
Apparently, CNBC is trying very hard to remove this full interview and copies of it from YouTube. I wonder why... drive.google.com/file/d/16IV7TI…
Someone called in for a few favors from their broker buddies...
“Huawei tested AI software that could recognize Uighur minorities and alert police. The face-scanning system could trigger a ‘Uighur alarm,’ sparking concerns that the software could help fuel China’s crackdown”
The coolest result in this paper is when they took a depth estimation model (single-image input) trained on natural images (arxiv.org/abs/1907.01341), and showed that the pre-trained model also works on certain types of line drawings, such as drawings of streets and indoor scenes.
This paper seems like an alternative, perhaps complementary take, on @scottmccloud's views about visual abstraction: