my twitter feed rn
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I guess Rejected got a 4k restoration? It feels weird to watch it in better quality than a 240p avi.
https://www.youtube.com/watch?v=W7JyjZI3LUM&t=8s
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Appropriate given recent events in my life.
White, of Strunk & White fame, is E.B White, of Charlotteās Web fame.
I just learned this.
50% Owl is the new ruler of the internet
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Today is the 70th anniversary of the Universal Declaration of Human Rights:
Long but worth the read
Thanks appears to be made up based on some true things. But still, very emotional because you know shit like this went down with people being gay back then.
https://guillemclua.com/comunicado-sobre-el-hilo-de-twitter-emilyxaver/
This will of course only be used by humans and never bots, perish the thought.
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Iām more interested in captchas that block humans who fail the Turing Test from interacting with me online.
Like, when I go nazi-hunting on twitter, I usually find nests of bots that I can clearly just block en-masse.
But every now then then I find an account that is clearly a real human. But their behavior is so bot-like that I report them anyway.
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Is it possible to make such a test that wonāt have some sort of inherent bias? Youāre going to get a lot of false positives keeping out good people based on language, nationality, race, culture, etc.
Can you design software that can accurately determine whether the user is a nazi?
Almost definitely not.
But I would assume it has bias and tune it to my own preferences for interaction. Iād embrace the bias and tune it to my own biases as much as possible.
True. But we see the kinds of āI want to join the FRC forumā messages we get today. Iām sure weāve denied at least some good people who are real people and would have contributed. But that is a cost we paid to keep this place spam and nazi free.
We already collectively decided with email that weāll accept even a high rate of false positives rather than have a single false negative.
I bet you could detect nazis with a high enough degree of accuracy with a regular expressionā¦
I wouldnāt want to use something like this for anything large-scale. Iām thinking personal scale. A dynamic twitter blocklist that identifies people I donāt ever want to interact with based on heuristics.
Imagine it analyzes individual usersā other tweets. Then it uses some sort of āThe Good Placeā system.
- Retweeted RWNJ site w/o comment? -50 points
- Retweets RWNJ sites more than 20% of all total retweets? -80 points
- Statistically significant number of posts consisting of 14 words? -400 points
- Uses the word ālibtardā? -1 point per use
- Followed by other low-score accounts? -20 per account
I then set a point threshold below which no account can interact with me.
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The post you just made would lose you a point because you used the word. This posts also loses a point, if we count instances where the word appears when quoting another user.
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I think that would be fine.
If someone is constantly quoting shitheads and/or using their words, thatās just as annoying to me. Make it a low negative score for things like that, and intermittent callouts wouldnāt overcome a positive score.
But frankly, if someone ends up using that word a LOT, I probably donāt want to interact with them regardless of their intent.
Were I a nazi Iād have all my 1000 bots follow every single person you follow. (if this ever caught on, thereās little risk because you said thisād be a personal thing)