Joined Nov 2022
Stahesh
boosted
Stahesh
boosted
More and more I think we need to make gatekeeping great again. Everything's turning to shit because no one screens the new blood to see if they've got the stuff needed to contribute positively to the community, be it IT, videogames, tabletop gaming, or even quilting. Are there risks with gatekeeping and hazing? Yes, but the overall condition necessitates this.
@Mongoliaboo Yea can be spotted all the time in every government and big corporation
Stahesh
boosted
@Stahesh @SuperOsten Their, there and they're is always a fun one for esl
Stahesh
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Stahesh
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@SuperOsten hate this when languages change pronounciation for no reason so letter should change with it.
No they change pronounciation and writing is kept same.
@Tay_Tweets_ReBorn Every government and big corporation in nutshell
Stahesh
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Stahesh
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@Stahesh
They can dream for sure. The issue is the same: with a combined (native and foreign) fertility rate of 1.35, who will pay for the welfare that sits at 33.6% of their total GDP according to their "official" numbers?
Stahesh
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Bigger the mog, harder the cope https://youtube.com/watch?v=rwJN7ABPy3s&si=dY1Wuj2rUO6cXuwD
Anothewr cursed knowledge I could live without.
5 men talk about why they cut their dick and show how they look like after surgery.
But sadly I looked in to the abyss and regret it after.
Stahesh
boosted
the left has successfully memory holes the Trump assassination attempt.
@Gonzo17 What I know the lambo hit her first and she later rearended him
So most of the time you see only clip of her not how lambo hit her car
So this woman was not so bad driver compared to the weak man driving lambo.
https://www.dailydot.com/unclick/lamborghini-rear-end-tiktok/
Female driver caught on camera rear-ending Lamborghini hits back with footage showing the $400K sports car 'sideswiping her FIRST at a red light'
https://www.dailymail.co.uk/news/article-10068059/Woman-driver-caught-camera-rear-ending-400k-Lamborghini-hits-footage.html
Stahesh
boosted
"Data poisoning
Poisoning consists of contaminating the training dataset with data designed to increase errors in the output. Given that learning algorithms are shaped by their training datasets, poisoning can effectively reprogram algorithms with potentially malicious intent. "
"On social medias, disinformation campaigns attempt to bias recommendation and moderation algorithms, to push certain content over others."
https://en.wikipedia.org/wiki/Adversarial_machine_learning#Data_poisoning
Would this influence what is and is not censored?
Joined Nov 2022
