> You need to determine the biases and degrees of bias that are useful. Invariably those from the current mainstream ideology in tech. > Responding with an "

> You need to determine the biases and degrees of bias that are useful. Invariably those from the current mainstream ideology in tech. > Responding with an "average" of public chatter regarding plumbing wouldn't be useful. RLHF can be useful but I'd rather deal with idiosyncracies of those niches of knowledge than with a "woke", monotone and useless model. I like diversity, I don't want everything becoming Agent Smith. Ironically, "woke" is anti-diversity. > It's easy to see this as intentionally testing naive filters in an open beta, so I'd expect the results to change frequently while they zero in on what they're looking for. I doubt that the pp It's easier to see this as an ill initiative from an "AI ethics" team that is disconnected from the technical side of the project and also from reality.