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no assertion about this situation, but be aware that confusion is often deliberate.

there is a group of people who see the regurgitation of existing systemic biases present in training data as a convenient way to legitimize and reinforce interests represented by that data.

"alignment" is only a problem if you don't like what's been sampled.



> there is a group of people who see the regurgitation of existing systemic biases present in training data as a convenient way to legitimize and reinforce interests represented by that data.

Do you have a link to someone stating that they see this as a good thing?


I'm aware that there are people like this.

I prefer to assume the best in people I'm actively talking to, both because I prefer to be kind, and because it cuts down on acrimonious discussions.




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