Not wanting to work in a crowded home has nothing to do with disliking your family. Kids are loud. They run around the house. They watch TV with the volume set too high. They have excited calls with their friends. Many home builders skimp on noise insulation for interior walls.
I am a little disgusted by this because now both major browser engines are being developed by an advertising company, creating more incentives for future web technologies that strengthen tracking and undermine ad blocking.
From what I understand, this is an anonymized targeted ad company. In other words, ads are still targeted to the individual user, it is just harder for the advertiser to track (or profile) an individual user. Are there any companies still doing untargeted ads, ads where the advertiser might pick what site their ad goes on but cannot target a specific user demographic?
Tie more positive things to the federal minimum wage, for example tax brackets and retirement fund contribution limits. They go up every single year, so the government will either have to keep raising the minimum wage or go on the record to justify why the ratio is wrong.
AI is the future, unfortunately we are eternally stuck in the present.
Ok, but why? If I want news, I will look at a news site. I want tweets and videos, I almost always want content from the creators that I subscribe to.
That makes sense. Sorry, I grew up in a school system where recess stops after the fifth grade.
Also, you mentioned that lack of coat was a problem for lunch? I assume that means that your cafeteria only had outdoor seating. How did that work when it was raining or very windy?
Maybe it is because I am used to a colder climate, but how did you come to school without outerwear? Did your parents not notice the temperature in the morning and put a jacket on you?
Douglas Adams is undoubtedly one of the greatest writers of the period.
He is known for light, surrealistic science fiction comedy, not a genre generally considered “high art” but his mastery of language is superb. He is a master of analogies in a way that is both funny but also makes the reader think about the roles and conventions of symbolism in language.
YouTube pays the uploader, who double promises that they totally have the the right to the song.
Trees are great on sidewalks, but it is much easier to control the weight of an algae tank if you want to make a green roof for a building.
As an older fan, because historically, dubs were utter crap. Until about 20 years ago, only kids anime got dubbed and when it was that version would be edited and censored. Some companies would also put out a parallel uncensored release and if one was available, it would be subs only.
Even when you started to get older teen anime dubbed, the voice casting tended to be pretty bad.
Not even the Google search team. You can no longer negate search terms in Google or Bing or DuckDuckGo. Any suggestions for a better search engine?
Water is best served at a bit below room temperature (maybe 50° F/10° C). I don’t want my teeth hurting and my throat frozen. Also, waiters should be good around and refilling water glasses, not dropping off my food and GTFO until I am done eating.
Why is “with ice” the default option for drinks in the US? For beverages, the restaurant is saving money, but for water?
My favorite is https://youtu.be/5RPHkpcH3rI
Assuming you merge instances, how would moderation work, especially if mods cannot agree on rules or interpretations? What about instance specific rules? Would a post be moderated by whatever instance the OP posted from?
If the mods have to agree on rules, you have the same exact asshole mod problem but now with extra name squatting.
Except even on Reddit we saw large communities split due to some issue (for example r/questionablecontent and r/QContent, one has 13k and the other has 5.3k subs).
For the communities I have searched for, both “Hot” and “Active” sort are bad (the main community about a topic is barely top 5, no other relevant results at the top of the list). When I switch to Top Year, I start to get good results.
That reminds me of the time, quite a few years ago, Amazon tried to automate resume screening. They trained a machine learning model with anonymized resumes and whether the candidate was hired. Then they looked at what the AI was looking at. The model had trained itself on how to reject women.