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Signal – an ethical replacement for WhatsApp

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  • AI search finds publishers starved of referral traffic

    Technology technology
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    alk@sh.itjust.worksA
    They really do! It's nice to read something that's clearly hand crafted and high quality, especially the big news roundups that you do, as opposed to the usual SEO slop most news sites have. It's a treat every time a new one comes out.
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  • 310 Stimmen
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    S
    Same, especially when searching technical or niche topics. Since there aren't a ton of results specific to the topic, mostly semi-related results will appear in the first page or two of a regular (non-Gemini) Google search, just due to the higher popularity of those webpages compared to the relevant webpages. Even the relevant webpages will have lots of non-relevant or semi-relevant information surrounding the answer I'm looking for. I don't know enough about it to be sure, but Gemini is probably just scraping a handful of websites on the first page, and since most of those are only semi-related, the resulting summary is a classic example of garbage in, garbage out. I also think there's probably something in the code that looks for information that is shared across multiple sources and prioritizing that over something that's only on one particular page (possibly the sole result with the information you need). Then, it phrases the summary as a direct answer to your query, misrepresenting the actual information on the pages they scraped. At least Gemini gives sources, I guess. The thing that gets on my nerves the most is how often I see people quote the summary as proof of something without checking the sources. It was bad before the rollout of Gemini, but at least back then Google was mostly scraping text and presenting it with little modification, along with a direct link to the webpage. Now, it's an LLM generating text phrased as a direct answer to a question (that was also AI-generated from your search query) using AI-summarized data points scraped from multiple webpages. It's obfuscating the source material further, but I also can't help but feel like it exposes a little of the behind-the-scenes fuckery Google has been doing for years before Gemini. How it bastardizes your query by interpreting it into a question, and then prioritizes homogeneous results that agree on the "answer" to your "question". For years they've been doing this to a certain extent, they just didn't share how they interpreted your query.
  • A ban on state AI laws could smash Big Tech’s legal guardrails

    Technology technology
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    P
    It's always been "states rights" to enrich rulers at the expense of everyone else.
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    I
    Arcing causes more fires, because over current caused all the fires until we tightened standards and dual-mode circuit breakers. Now fires are caused by loose connections arcing, and damaged wires arcing to flammable material. Breakers are specifically designed for a sustained current, but arcing is dangerous because it tends to cascade, light arcing damages contacts, leading to more arcing in a cycle. The real danger of arcing is that it can happen outside of view, and start fires that aren't caught till everything burns down.
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    J
    Of course they don't click anything. Google search has just become a front-end for Gemini, the answer is "served" up right at the top and most people will just take that for Gospel.
  • 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.