Schulze is great, but good luck explaining how it works to my mother.

Schulze is good for elections at STEM organizations. For the general public, something like approval voting or STAR are better.

How many net new housing units did they build from 2011 to 2021?

Or, better yet, we could just build more units.

They tried banning landlords in specific neighborhoods in Rotterdam.

It lead to gentrification.

The people who bought the units, on average, were more wealthy than existing renters, but less wealthy than existing owner-occupiers. Basically, it forced poor people out of that neighborhood, and replaced them with middle class people.

There’s a lot of reasons why buying a house is expensive. In many places, it’s less because of corporate landlords, and more due to population growth outpacing housing growth.

If you’re rigging an election, it can be better politically to give yourself 65% of the vote than 97% of the vote.

97% is obviously fake. 65% is easier to make people beleive in.

Although it’s been used for a fairly wide array of algorithms for decades. Everything from alpha-beta tree search to k-nearest-neighbors to decision forests to neural nets are considered AI.

Edit: The paper is called

Avoiding fusion plasma tearing instability with deep reinforcement learning

Reinforcement learning and deep neural nets are buzzwordy these days, but neural nets have been an AI thing for decades and decades.