emmp
Joined 10 years ago
Joined 10 years ago
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.