Me: Leave that to me. I know what I want.

The horror! I detest that website with my all. It was one of the earliest places I saw a nasty dark pattern. They would bait you to pay to see who viewed your profile, preying on job seekers desperate for a signal that something may come their way. Nasty evil people those!

That’s a fine looking painting. RIP to your dad.

Luddites were not as opposed to new technology as you say it here. They were mainly concerned about what technology would do to whom.

A helpful history right here: https://www.hachettebookgroup.com/titles/brian-merchant/blood-in-the-machine/9780316487740/?lens=little-brown

We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for. This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control. Our findings underscore the urgency for scholars, the public, and policymakers to recognize and address the potential risks of facial recognition technology to personal privacy.

“peer-reviewed” bullshit.

I call it TED. Temporary Employee Discount. Don’t forget to ring your TED. Always.

It would be more complex if the US didn’t believe in 13th floor story and UK did. Even though both would have 14th floor on the same level from the ground, there is a lot that would be missed if you only elevated straight from the parking basement to your 14th floor.

Images could as well be copies of immigration documents for secretive efforts to run away from abusive family relationships or financial details for whatever plans or projects.

Findroid/Finamp? Quite robust.

Link: https://github.com/jmshrv/finamp

Retired mouth and bum.

Swahili. If you want to translate “she/he went to the river”, you say “Alienda mtoni” which collapses she/he into the subject A- (Alienda) to mean “the person”. You always need context to use a gendered word (like mwanamke for woman) otherwise general conversation does not foreground it. There is literally no word for he/she in Swahili, as far as I know.

Same here. My native langauge is not gendered and I rarely associate “man” in academic spaces with “gender” category. I usually need more info to tilt to gender in discussions.

The 2020 Primary felt like high strategy game. I don’t know much about Américan politics but I do remember seeing Bernie Sanders continue the 2016 momentum only for Biden to pick up in South Carolina. The orchestration they did to keep primary candidates in to weaken Bernie while working for Biden felt to me less a Biden thing and more of Biden as a chess-piece. He was not the force behind it. His familiarity and seemingly calm demeanor appealed to most voters compared to the erratic image of Trump. But deep down there was a feeling of “screw you Bernie”. Luckily for Dems, that is not a fault line Republicans are exploiting.

Still fair point. The grind is in placing the new reimplementation of federated link aggregator in opposition to Lemmy as if they are competing, and sadly to trash Lemmy and its developers.

And if they develop a good tool, that is also fine. The more the merrier. But I think their resources may have served more people if they were not duplicating effort and rather contributed into existing work. To each their own.

Something feels off with this post. It comes off as “we are better than Lemmy” as if there is any competition and awards to be won. To say Lemmy’s development is “toxic” and this project is “more inclusive and less toxic” without backing it up with evidence is unfair.

indistinct chatter

I like the testing and hopefully they will share more detailed research findings in the next 6months. Especially on content moderation knowing they have decades of experience on this.

The unsang heroes who brought in wisdom and competency! 🤟

Dess should tell us why Valentines. Probably a missed date and vented out on AGPL-3 legendary code. If true, long live heartbreaks!