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Joined 2 years ago
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Cake day: July 24th, 2023

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  • That’s a fair point when these LLMs are restricted to areas where they function well. They have use cases that make sense when isolated from the ethics around training and compute. But the people who made them are applying them wildly outside these use cases.

    These are pushed as a solution to every problem for the sake of profit with intentional ignorance of these issues. If a few errors impact someone it’s just a casualty in the goal of making it profitable. That can’t be disentwined from them unless you limit your argument to open source local compute.


  • Yes but it did come, and took place as the common usage. So much so that Ms. Is used to describe a woman both with and without reference to marital status.

    I’m down with using Mrs. not to refer to marital status but imo just going with Ms. Is clearer and easier because of how deeply associated Mrs. Is with it.


  • No, I’m talking about human learning and the danger imposed by treating an imperfect tool as a reliable source of information as these companies want people to do.

    Whether the erratic information is from tokenization or hallucinations is irrelevant when this is already the main source for so many people in their learning, for example, a new language.




  • These sorts of artifacts wouldn’t be a huge issue except that AI is being pushed to the general public as an alternative means of learning basic information. The meme example is obvious to someone with a strong understanding of English but learners and children might get an artifact and stamp it in their memory, working for years off bad information. Not a problem for a few false things every now and then, that’s unavoidable in learning. Thousands accumulated over long term use, however, and your understanding of the world will be coarser, like the Swiss cheese with voids so large it can’t hold itself up.