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HMD is ‘scaling back’ in the US, killing Nokia all over again

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  • Large Language Model Performance Doubles Every 7 Months

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    in yes/no type questions, 50% success rate is the absolute worst one can do. Any worse and you're just giving an inverted correct answer more than half the time
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    jimmydoreisalefty@lemmy.worldJ
    I wonder! They may be labeled as contractors or similar to a merc. Third-party contractors that don't have to follow the same 'rules' as government or military personnel. Edit: Word, merchs to merc, meaning mercenary
  • Software is evolving backwards

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    Came here looking for this
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    K
    And yet so many people still refusing to switch to Signal, even tho Whatsapp is officially declared unsave by the government.
  • Converting An E-Paper Photo Frame Into Weather Map

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    indibrony@lemmy.worldI
    Looks like East Anglia has basically disappeared. At least nothing of value was lost
  • How LLMs could be insider threats

    Technology technology
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    patatahooligan@lemmy.worldP
    Of course they're not "three laws safe". They're black boxes that spit out text. We don't have enough understanding and control over how they work to force them to comply with the three laws of robotics, and the LLMs themselves do not have the reasoning capability or the consistency to enforce them even if we prompt them to.
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    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.
  • Dear Brother Printers: Eat a [Sponsor friendly words here]

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    Why doesn't Amazon just sell a generic printer that works with generic toner or pigment or ink. I would buy.