Joined 13 years ago
I'm sorry but this is just not based on reality. Wealth has always been formed by taking away from those who produce value. No one asked for 1000 new phone models every year, no one asked for 1000 new car models every year, no one asked for a million new kind of clothes every year. Services aren't provided, they are forced on people who just are not allowed to function without them and must work with and in those services, while billionaires don't produce anything, don't do anything yet get all the money.
Also, garage gives you the possibility to automatically snapshot the metadata, advices on how to do the snapshotting at the filesystem level and to restore that.
https://www.unesco.org/en/articles/generative-ai-unesco-stud...
> Our analysis proves that bias in LLMs is not an unintended flaw but a systematic result of their rational processing, which tends to preserve and amplify existing societal biases encoded in training data. Drawing on existentialist theory, we argue that LLM-generated bias reflects entrenched societal structures and highlights the limitations of purely technical debiasing methods.
https://arxiv.org/html/2410.19775v1
> We find that the portrayals generated by GPT-3.5 and GPT-4 contain higher rates of racial stereotypes than human-written por- trayals using the same prompts. The words distinguishing personas of marked (non-white, non-male) groups reflect patterns of othering and exoticizing these demographics. An inter- sectional lens further reveals tropes that domi- nate portrayals of marginalized groups, such as tropicalism and the hypersexualization of mi- noritized women. These representational harms have concerning implications for downstream applications like story generation.
