Recorded talk for the slides in this post.
56 karma · joined May 22, 2020
Recorded talk for the slides in this post.
Once adopted this will lead to an increase in randomly locked out accounts due to model false positives, because looking for something very rare will lead to most items flagged being false positives (Bayes statistics etc.).
This blog had a few interesting articles on the limitations of these technologies https://www.hackerfactor.com/blog/index.php?/archives/971-FB... While this is comparing the currently used hash based approaches a classification model will have similar problems.
In general I'd suggest looking into reading the news outlets that have produced scoops that turned out to be true after initial denials. Lately that would be the NY Post and the Daily Mail (the sections reporting on the US).
For desktop there's not much of a distinguishing factor left. Chrome is good enough. I like Firefox for the privacy, but is that enough of a distinguishing factor for regular (less privacy conscious) folks?
https://www.dw.com/en/minister-wants-to-legalize-anti-nazi-s...