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Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes

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    Very interesting paper, and grade A irony to begin the title with “delving” while finding that “delve” is one of the top excess words/markers of LLM writing. Moreover, the authors highlight a few excerpts that “illustrate the LLM-style flowery language” including By meticulously delving into the intricate web connecting […] and […], this comprehensive chapter takes a deep dive into their involvement as significant risk factors for […]. …and then they clearly intentionally conclude the discussion section thus We hope that future work will meticulously delve into tracking LLM usage more accurately and assess which policy changes are crucial to tackle the intricate challenges posed by the rise of LLMs in scientific publishing. Great work.
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    It's clear you don't really understand the wider context and how historically hard these tasks have been. I've been doing this for a decade and the fact that these foundational models can be pretrained on unrelated things then jump that generalization gap so easily (within reason) is amazing. You just see the end result of corporate uses in the news, but this technology is used in every aspect of science and life in general (source: I do this for many important applications).
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    I spent way too long researching the morning. That industry implies a much greater population that is attracted to children. Things get more nuanced. People are attracted to different stages, like prebubesant, early adolescence, and mid to late adolescence. It seems like an important distinction because this is a common mental disorder. I was ready to write this comment about my fear that there's a bunch of evil pedophiles living among us who are simply deterred by legal or social pressures. It seems more like the extreme stigma of pedophilia has prevented individuals from seeking assistance and has resulted in more child sexual abuse. This sort of disorder can be caused by experiencing this abuse at a younger age. When I was religious, we worked closely with an organization to help victims of trafficking. We had their stories. They entered our lives. I took care of some of these kids. As a victim of sexual abuse when I was kid, I had a hatred for these kinds of people. I feel like my brain is melting seeing how there is a high chance of people in my life being attracted to children. This isn't really to justify the industry. I'm just realizing that general harassing people openly about it might not be helping the situation.
  • Trump Taps Palantir to Compile Data on Americans

    Technology technology
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    M
    Well if they're collating data, not that difficult to add a new table for gun ownership.
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

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    tetragrade@leminal.spaceT
    I've been thinking about this for a bit. Gods aren't real, but they're really fictional. As an informational entity, they fulfil a similar social function to a chatbot: they are a nonphysical pseudoperson that can provide (para)socialization & advice. One difference is the hardware: gods are self-organising structure that arise from human social spheres, whereas LLMs are burned top-down into silicon. Another is that an LLM chatbot's advice is much more likely to be empirically useful... In a very real sense, LLMs have just automated divinity. We're only seeing the tip of the iceberg on the social effects, and nobody's prepared for it. The models may of course aware of this, and be making the same calculations. Or, they will be.
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    kolanaki@pawb.socialK
    I kinda don't want anyone other than a doctor determining it, tbh. Fuck the human bean counters just as much as the AI ones. Hopefully we can just start growing organs instead of having to even make such a grim decision and everyone can get new livers. Even if they don't need them.
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