story
A clip of the joke from the banned channel:
https://clips.twitch.tv/CalmFrailPlumageShazBotstix-ITcqL0Hh...
At least that's what would make sense, and Twitch moderation is far, FAR from making sense in general, but in this one thing they might be reasonable.
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.
$ seq -w 9999999Edit:
Because if our adversaries are the products of inanimate and unthinking evolution, we cannot regard the problem in terms of revenge or payback... that would be no different than whipping the ocean for having sunk a ship and drowned its sailors
- Stanislaw Lem, The InvincibleHowever, the AI may not have been trained in a neutral way, and the person using it may not be using it in a neutral way.
If you create an AI product, you are responsible for its output. People aren't mad at the model itself, they are mad at its creators. Why did they create an AI which ends up insulting people and breaking the ToS of the platform it is on?
Here are three models: * A language model that outputs jokes, * A self-driving car model that outputs driving instructions, * An autonomous combat drone model that outputs engagement targets.
Where do you draw the line? Where do you start to "get offended"?
Just saw your Lem quote: Isn't an AI exactly not "unthinking"? That's the whole purpose of machine learning: to "learn", to recognise patterns, to abstract away, no?