Deykun

A good summary:

Source: https://twitter.com/selimyaman_/status/1772172937073709293

Actual paper on the impact of ChatGPT on adjectives: https://arxiv.org/abs/2403.07183

There were some comments on Reddit suggesting that cutting the dataset at 15 and removing 40% of words was not the best move. I have locally built a version with the limit set to 30.

For the interested:
https://imgur.com/a/Rz7Cw6x

The paper: https://www.frontiersin.org/articles/10.3389/fcell.2023.1339390/full

I only have a prespellechecked list of words from here: http://www.aaabbb.de/WordList/WordList_en.php

Thanks. It should read prefers-color-scheme. I have dark mode by default, but it's also possible to set dark/light mode too.

To clarify, it is not the total number of words but rather the number of unique words considered. Imho a million of unique words is okay. A bigger concern for me would be that words on Wikipedia can be overly specific.

A source: https://deykun.github.io/diffle-lang/de?p=about-language (It has tooltips displaying percentages for other letters)

Yes! I originally found it posted on their TikTok account:
https://www.tiktok.com/@thehuntington/video/7321812764421475630

;)

Classic: https://www.youtube.com/watch?v=iYWzMvlj2RQ

I'm not a native speaker, and it seems like you hear what you want to hear. My responses were polite, but please continue with your whistle-blowing, it's evident that argumentation is not your strong suit.

Removing categories in sports would result in podiums filled with men, which is a root of that problem.

It is fine if you don't mind it.

I prefer categorization for men, women, trans men, trans women, paralympics, and I would even leave that amusing category of not-tall-man basketball because they in fact cannot compete with tall players but they still can compete among themselves.