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  • AI Leaves Digital Fingerprints in 13.5% of Scientific Papers

    Technology technology
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    F
    So they established that language patterns measured by word frequency changed between 2022 and 2024. But did they also analyse frequencies across other 2-year time periods? How much difference is there for a typical word? It looks like they have a per-frequency significance threshold but then analysed all words at once, meaning that random noise would turn up a bunch of "significant" results. Maybe this is addressed in the original paper which is not linked.
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    Niemand hat geantwortet
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    M
    I have like a dozen Gmail accounts, and I know plenty of others who do too. Before I owned my own domain, I used the different accounts for different things.
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    D
    There is a huge difference between an algorithm using real world data to produce a score a panel of experts use to make a determination and using a LLM to screen candidates. One has verifiable reproducible results that can be checked and debated the other does not. The final call does not matter if a computer program using an unknown and unreproducible algorithm screens you out before this. This is what we are facing. Pre-determined decisions that human beings are not being held accountable to. Is this happening right now? Yes it is, without a doubt. People are no longer making a lot of healthcare decisions determining insurance coverage. Computers that are not accountable are. You may have some ability to disagree but for how long? Soon there will be no way to reach a human about an insurance decision. This is already happening. People should be very anxious. Hearing United Healthcare has been forging DNRs and has been denying things like treatment for stroke for elders is disgusting. We have major issues that are not going away and we are blatantly ignoring them.
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    P
    Not just that. The tax preparation industry has gotten tax more complex and harder to file in the US You get the government you can afford. The tax preparation industry has been able to buy several governments
  • Whatever happened to cheap eReaders? – Terence Eden’s Blog

    Technology technology
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    T
    This is a weirdly aggressive take without considering variables. Almost petulant seeming. 6” readers are relatively cheap no matter the brand, but cost goes up with size. $250 to $300 is what a 7.8” or 8” reader costs, but there’s not a single one I know of at 6” at that price. There’s 10” and 13” models. Are you saying they should cost the same as a Kindle? Not to mention, regarding Kindle, Amazon spent years building the brand but selling either at cost or possibly even taking a loss on the devices as they make money on the book sales. Companies who can’t do that tend to charge more. Lastly, it’s not “feature creep” to improve the devices over time, many changes are quality of life. Larger displays for those that want them. Frontlit displays, and later the addition of warm lighting. Displays essentially doubled their resolution allowing for crisper fonts and custom fonts to render well. Higher contrast displays with darker blacks for text. More recently color displays as an option. This is all progress, but it’s not free. Also, inflation is a thing and generally happens at a rate of 2% to 3% annually or thereabouts during “normal” times, and we’ve hardly been living in normal times over the last decade and a half.
  • Mazda DMCA takedown of Open Source Home Assistant App

    Technology technology
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    Soon this all will be much easier. From 12 of September we’re going into a new world of EU Data Act that forces all companies to allow third parties to communicate with iot devices. Which a car is. So soon Mazda will need to provide those APIs in an official way.
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

    Technology technology
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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.