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Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis (www.theverge.com)

submitted 8 months ago by [email protected] to c/[email protected]

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Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis::Google says it’s aware of historically inaccurate results for its Gemini AI image generator, following criticism that it depicted historically white groups as people of color.

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[–] [email protected] 2 points 8 months ago

You mean like create world representations from it?

https://arxiv.org/abs/2210.13382

Do these networks just memorize a collection of surface statistics, or do they rely on internal representations of the process that generates the sequences they see? We investigate this question by applying a variant of the GPT model to the task of predicting legal moves in a simple board game, Othello. Although the network has no a priori knowledge of the game or its rules, we uncover evidence of an emergent nonlinear internal representation of the board state.

(Though later research found this is actually a linear representation)

Or combine skills and concepts in unique ways?

https://arxiv.org/abs/2310.17567

Furthermore, simple probability calculations indicate that GPT-4's reasonable performance on k=5 is suggestive of going beyond "stochastic parrot" behavior (Bender et al., 2021), i.e., it combines skills in ways that it had not seen during training.