Google apologizes for “missing the mark” after Gemini generated racially diverse Nazis
www.theverge.com
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
    0·
    9 months ago

    Yes, this is exactly correct. And it’s not actually too slow - the specialized models can be run quite quickly, and there’s various speedups like Groq.

    The issue is just more cost of multiple passes, so companies are trying to have it be “all-in-one” even though cognitive science in humans isn’t an all-in-one process either.

    For example, AI alignment would be much better if it took inspiration from the prefrontal cortex inhibiting intrusive thoughts rather than trying to prevent the generation of the equivalent of intrusive thoughts in the first place.

    • fidodo@lemmy.worldEnglish
      1·
      9 months ago

      The issue is just more cost of multiple passes, so companies are trying to have it be “all-in-one”

      Exactly, that’s where the too slow part comes in. To get more robust behavior it needs multiple layers of meta analysis, but that means it would take way more text generation under the hood than what’s needed for one shot output.

      • kromem@lemmy.worldEnglish
        1·
        9 months ago

        Yes, but in terms of speed you don’t need the same parameters and quantization for the secondary layers.

        If you haven’t seen it, see how fast a very capable model can actually be: https://groq.com/