swope

I think commercial social media does a lot of subtle things to "drive engagement" that I don't think fediverse instances are doing. Like a sort of gamification of getting likes and followers and of course the algorithms that show us things that provoke our emotions.

Reading and participating here is a lot more relaxed feeling than I've had on profit-driven social media sites.

I enjoyed the humor, but the OP did set a boundary of [serious].

So I guess what we are learning here is that setting boundaries is always going to provoke some people to break those boundaries out of spite.

The conviction was about a year after the crimes, which is a lot faster than I would expect than in my country. 5.5 years does seem light to me, too.

The rhetoric is still somewhat apologetic to the perpetrators. Like "it's difficult for students to resist due to a sense of closeness to their teachers" doesn't say anything about rank, authority, and power that teachers have over students. And "checking whether a teacher is under excessive pressure" seems to redirect fault away from the perpetrator.

Long ago "drive" meant urging an animal to move forward. And "dialing" a phone number meant entering the "digits" by turning a rotary dial with your digits.

Words aren't as static as you seem to think.

BYD has a factory in California where they make electric buses and commercial trucks.

A lot of Brazil is in the tropics, so no, not winter kinda latitudes.

But Brazil also extends to something like 33° South, where winter starts in June.

I didn't read it, but my first thought was they trained it to associate speech patterns with wealth and/or education, which correlates with diabetes for all the usually reasons in the US health non-care system.

Edit: I'm probably wrong:

The scientists analysed more than 18,000 recordings and 14 acoustic features for differences between those who had diabetes and those who did not.

They looked at a number of vocal features, like changes in pitch and intensity that cannot be perceived by the human ear.

I'm going to go look for an update on DeepSqueak...

I think most computer vision cameras are fairly low resolution, so I'm not expecting the hit-and-run vehicle will be identified.