The former has a probability distribution of sequences reflective of the dataset and context whereas the latter is pure random chance assuming input seed is random.
* Makes sure the people controlling the machine are incentivized to correct it (not that I think they needed it, but what I think is irrelevant)
* Ensures that content that Twitch management doesn't want on their platform, and which is in violation of their TOS, is removed immediately, regardless of the thoughts/actions of the people controlling the machine.
As far as Twitch is concerned, there's a channel that's breaking TOS, repeatedly. They're not "punishing" the owner of that channel, they're just enforcing the TOS, something the channel owner agreed to when creating their channel.