What AI detectors have largely done is try to formalize that intuition. They do work pretty well on simple adversaries (so basically, the most lazy student), but a more sophisticated user will do first, second, third passes to change the voice.

A benefit for the US is increased GDP, tax revenue, etc.

For his return to redis: https://antirez.com/news/144

On his new vector sets feature: https://antirez.com/news/149

Last time I tested this, which was a few years ago, it worked just fine. But to be fair, this is not part of my workflow, just something I was testing out of curiosity.

If it doesn't do what you need for whatever reason, then I understand, but it just not true at all that the Wayland ecosystem has not been addressing these use cases.

https://en.m.wikipedia.org/wiki/Midler_v._Ford_Motor_Co.

Bette Middler successfully sued Ford for impersonating her likeness in a commercial.

Then also:

https://casetext.com/case/waits-v-frito-lay-inc

Tom Waits successfully sued Frito Lay for using an imitator without approval in a radio commercial.

The key seems to be that if someone is famous and their voice is distinctly attributeable to them, there is a case. In both of these cases, the artists in question were also solicited first and refused.