A lot of parents contribute financial support to their college students and therefore feel they have a vested interest in knowing their childrens' grades.
The history of civil forfeiture actually dates back to the British, with the British Navigation Acts generally recognized as the first such law. It spread to the U.S. colonies through "writs of assistance" and was part of the original legislation passed by the First Congress (to enforce taxes and customs duties). It was limited to that until Prohibition, when it was expanded to target bootleggers. After that success, it was expanded to target drug dealers generally and has since been used on a broad basis by law enforcement agencies without discretion.
There is still due process: the asset is accused of being used in furtherance of a crime, or the result of a crime, and the asset is required to prove that it was not. However, because this is a civil action, the burden of proof is simply "more likely than not."
Note that some states are pushing back against prosecutors' use of civil forfeitures where the defendants have not been convicted or even charged with a crime. In California, the Bar Association is reviewing proposals to sanction prosecutors for pursuing civil forfeiture in such situations (though, full disclosure: they've been reviewing these proposals for almost a decade...).
This does not seem like a robust solution. Also if you think of social networks as a network graph, then this seriously limits reach as you heavily rely on key folks who are a part of multiple networks of friends to invite those friends, etc which makes it really hard to scale. Any workaround to that problem, will inevitably introduce access for scammers.
Fun question: AI generates some code and its deployed to production. Theres a bug found in the logs and a dev sits down to analyze the fix. Does the dev correct the prompt that generated the code and commit that prompt, or does the dev make a code fix and commit that?
This is the part I think folks underestimate when saying that "Coding as a career might be over". Gen AI can write decent code, but constructing software from code, and coming up with implementation ideas and turning those into tickets still feels far away at least from my experience using ChatGPT and CoPilot. Also those systems were trained on code but I don't know that they have the best idea of quality of the code they were trained on.
An n-dimensional space is just a collection of points, each defined uniquely by a set of n-numbers. The semantic meaning of those numbers doesn't really matter. It might be like actual physical space, but it could just as well be something like "time" and "the price of big macs". We have a bunch of mathematical operations that work well on 2 or 3 dimensional space that correlate nicely with our physical intuitions of 'curvature' and 'holes', and that still work perfectly well in more generalized forms in higher dimensions.
I'm not really sure it's that useful to try and visualize what it means on higher dimensions, to be honest.