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Google to pause Gemini AI image generation after refusing to show White people.

Google to pause Gemini AI image generation after refusing to show White people.::Google will pause the image generation feature of its artificial intelligence model, Gemini, after the model refused to show images of White people when prompted.

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  • So what. It means they overtrained, deployed, and had to choose between reverting to a model with known issues or training a new model. They probably tried a temporary fix with a LoRA and it failed so they have to wait on the next big version to finish training and those can take weeks even on massive data center class hardware.

    People don't seem to have any fundamental understanding of AI here. It is all static tensor math. There is no persistence or learning inside the model. Any illusion of persistence is due to the loader code that turns your text into math tokens. That is just standard code.

    There is no fundamental difference between an offline AI and the proprietary like Gemini. One loader code is just data mining while the other is not. Training has a sweet spot. If too much John Oliver is added, everything will generate as John Oliver, like absolutely everything.

    • No, the problem is that they filter prompts and inject new parameters into prompts specifically to avoid creating white subjects. It's so bad that, when asked to generate a chessboard, Gemini would only make one with black pieces.

      • That would not have caused them to go offline. Modifying a hash table takes 0 minutes of down time. Likewise a LoRA layer takes no down time. The only reason to go completely offline is because they need to filter the base dataset and retrain from scratch. It means the error is so intertwined across so many neural layers that a simple extra filter layer is unable to address it.

        The neural network is like a giant multi dimensional cloud in 3d but where there are more than 3 dimensions. All the stuff in the cloud are vector relationships. If there is some easily traversed path where neural connections are gravitating towards a simple modification like slice across that cloud can modify that easily traversed path ever so slightly to make it less easily traversed. This is something like a LoRA that can be tacked onto the model's math.

        However, if the undesirable behavior is due to something like all roads leading to the center of a giant city metropolis, no slice across that cloud can subtly alter all of the neural paths without impacting adjacent data. It is all approximated floating point math where every concept and generation parameter is inner related. Things like bunny rabbit and Playboy playmate are stored in the same tables. If you try and make all bunny rabbits black, you are also altering all playmates. It is simply because there is an minor relationship between these concepts and therefore they share a vector space inside some tensor tables. There is a very big difference between how the initial table values are created across all layers and how a modified layer works. When things go really bad, the only option is to retrain the whole thing from scratch.

    • Theres no such thing as too much John Oliver. this guy doesnt know what they are talking about.

  • I think the interesting thing about this is that these LLMs are essentially like children: they don't have the benefit of years and years of social training to learn our complex set of unspoken rules and exceptions.

    Race consciousness is such an ever-present element of our social interactions, and many of us have been habituated not to really notice it. So it's totally understandable to me that LLMs reproduce our highly contradictory set of rules imperfectly.

    To be honest, I think that if we can set aside our tendency to understandably avoid these discussions because they're usually instigated by racist trolls, there's some weird and often unexamined social tendencies we can interrogate.

    I think it's helpful to remind ourselves frequently that race is real like gender, but not like sex. Race exists because when people encountered new cultures, they invented a pseudoscience to create the concept of whiteness.

    Whiteness makes no sense. Who is white is highly subjective, and it's always been associated with the dominant mainstream culture to which whiteness claims ownership. This means that you either buy into the racist falsehood that white culture is interchangeable with the default culture or it has no culture at all.. Whiteness really exists only in opposition to perceived racial inferiority. Fundamentally, that's all "white" means. It's a weird anachronistic euphemism for, "Not racially inferior".

    There are plenty of issues with our racial construction of blackness and the quality of being Asian and east Asian and Desi and Indigenous and Latin, but none are quite as fucked up, imo, as the fact that we as a culture attempt to continue to use the concept of "Whiteness" as a non-racist construction. In my thinking, it can be a useful tool for studying the past and studying an unhealthy set of attitudes we're still learning to unlearn. But it's not possible to reform the concept, because it's fundamentally constructed upon beliefs we're trying to discard. If you replace every use of "white" with "not one of the lesser races", then I think you get a better understanding of why it's never going to stop causing problems as long as we try to use it in a non-racist way.

    Today, people who were told growing up to view themselves as "white" now feel a frankly understandable sense of grievance and cultural alienation. Because we've begun acting more consistently and recognizing that there's really no benign version of white pride, but we never bothered to teach people to stop thinking of anyone as "white" or taught the people who identify as white to find pride in an actual culture. Midwestern in a culture. Irish is a culture. New Englander is a culture. White has never been a culture. But if we don't ever acknowledge that the entire concept's only value is as a tool to understand racism, it's inevitable that a computer repeating back to us our own attitudes is going to look dumb, inconsistent and either racially biased for or against white people.

35 comments