Google apologizes for “missing the mark” after Gemini generated racially diverse Nazis
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It acknowledged ‘inaccuracies’ in historical prompts.

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.

  • kromem@lemmy.worldEnglish
    31·
    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.