The stolen data the outlet reviewed reportedly contains details on whether applicants were rejected or accepted, their citizenship status, their university ID numbers and which academic programs they sought admission to.
The threat actor reportedly told Bloomberg he was seeking information that would indicate whether the university continues to use affirmative action in admissions despite a 2023 Supreme Court decision prohibiting the practice.
If you look at the history of releases of iPhone and Android Google apps, features usually come out on the iPhone first.
A couple of theories range from programming on iOS is easier to the iOS team is simply better.
They are banking on the AI will eventually be smart enough that it will replace the workers that fed it.
California was 58.47% Dem to 38.33% Rep.
Only District of Columbia (90.28% to 6.47%), Maryland (62.62% to 34.08%), Massachusetts (61.22% to 36.02%), Hawaii (60.59% to 37.48%), and Vermont (63.83% to 32.32%) did better percentage wise.
California is still in the top 5 of the most Democratic states, even beating out New York (55.91% to 43.31%), Washington State (57.23% to 39.01%), and Illinois (54.37% to 43.47%).
If you look at the percentages, a lot of people voted for Trump everywhere. You can't just single out California for this.
Looks good on Lynx.
Thank you for your input. I think I'm gonna give another try.
Note for other readers, Traditional T9 is a keyboard available on F-Droid.
I tried Thumb-Key. Learning curve was really high. I instead went with Unexpected Keyboard, also no predictive text. I really enjoy using Unexpected Keyboard and I don't have to through a bunch of sub keyboards to look for a symbol. I rarely go to a different sub keyboard.
Do you type faster with Thumb-Key than a normal keyboard like GBoard? In your opinion, is it worth learning?
They have the code built in to their keyboard and their messaging app just in case you switch keyboards.
It would be easier looking in to their own internal company files or databases than to parse information from a website even if they are really good at that.
In April, Anthropic filed its opposition to the class certification motion, arguing that a copyright class relating to 5 million books is not manageable and that the questions are too distinct to be resolved in a class action.
I also like this one too. We stole so much content that you can't sue us. Naming too many pieces means it can't be a class action lawsuit.
Their AI and their quick answers, like taking Wikipedia articles, definitely steals content from creators.
But is this stealing content from creators? Or does Google have their own list of emojis with corresponding descriptions?
If it's the latter then I say it's fine. That's like complaining Duckduckgo's search result of a calculator takes away views from calculator.com. Calculator.com and emojipedia.org don't own the patent to online calculators or description of emojis with a copy function.
Because people don't want to pay for shit content. Let's take pirating out of the equation. If I read a book I borrowed and I really like it, I would buy. If the content was trash then I wouldn't. Same goes if I watch a movie, listen to an album, or eat a microwavable burrito at a friend's or family member's house.