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Comment by nharada | Hacker News Reader

Even if you think the example presented here isn't a big deal, it still exposes a larger issue in these large language models. These models learn from historical data and that history may not be the behavior we want in the future.

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I want our future to be more focused on getting rid of class warfare and inane divisive rhetoric. Political red herring lip service crying about the statistical chances of a pronoun being used by a company that randomly created their data not only is not my concern, but I and society shouldn't be lumped in with their mistake. Google made their text language models, not "society" or "culture". Google is not the English speaking world, nor should their actions become a guilty by association for anyone that speaks English. Grow up. There are more important things to worry about. Ecological deterioration. Desert expansion. Droughts. Climate change. Water contamination. General air pollution. Deterioration of the working class. The college class looking down on the working class, creating a further divide in society. Financial elites running the show. Over reliance on the media. Family farming falling out the wayside. Birth rates tanking. Corporate corruption. Social isolation based depression/anxiety rates. Corporate take overs of everyday life. Opioid crisis. Plus some more that I can't think of. All more important than worrying about why the fuck Google says, "she cooks" instead of "he/it cooks". Google was not your lord and savior. No tech company was. Get over it.

So? Censor history to keep us from making its mistakes? Nothing down that road is workable even if you could convince yourself it was justified.

Who is the "we" you're talking about?

I'm not sure I take your point here. Broadly, humans. More specifically, a company, a government, a country, an open source community, a family.

Is your point that there be disagreement on ML policy? I don't think that makes any difference to the fundamental research problem.

There was no point, just a request for clarification which you provided. Thank you.

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