.@OpenAI controversy, no one (including me) talked about #ethics of using @reddit for training. It is toxic to #women #minorities. I was harassed and threatened on @mxlearn when I spoke up about #NeurIPS @Miles_Brundage @jackclarkSF can u comment on this choice? @samcharringtonhttps://twitter.com/__yoson__/status/1101593216992849920 …
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I think the q of appropriate data sources for large-scale, generally released models is a really great topic for discussion. It seems like there's some value to the inherent heterogeneity of sources that get linked to from various social forums. What might be a good source?
I agree, there isn't a great answer to that, given how biased internet is. Techniques like debiasing word embeddings can help remove bias to some extent. When @OpenAI model was covered by journalists, bias was never highlighted. https://arxiv.org/abs/1607.06520
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Some of what motivated the partial release is the observation we saw this behavior in response to some prompts and the internet is a shared resource so it seems likely others will contemplate. I'm so glad this discussion is happening! We'll be sharing more here also
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