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Firefox is fine. The people running it are not

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  • (LLM) A language model built for the public good

    Technology technology
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    S
    I use perplexity as my main go to if i want to use an LLM, since they have access to a wide scale of models. It was correct in the cases you mentioned. It's a tool focused on correctness of information and I've had it hallucinate a lot less than other tools. Give it a shot if you're looking for one that focuses on correctness of information. It searches the Web and then feeds the results into the model you choose. You can also tell it to only use academic papers, social discussions, or SEC filings.
  • FairPhone AMA

    Technology technology
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    alcan@lemmy.worldA
    Ask Me Anything
  • PSA: Stop Using These Fire-Prone Anker Power Banks Right Now

    Technology technology
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    200 Aufrufe
    Y
    Agreed here. Frequently people charge these near where they sleep and the failure mode is... sudden. Couches and beds tend to be really good kindling too. Urgency in this case is probably warranted.
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    Z
    The NUMBER FUCKING 1 RULE when we first got online. That all the normals repeated over and over and over. Then the se ond they get social media all that shit was flushed like a morning turd.
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    Niemand hat geantwortet
  • 311 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.
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    R
    And I think you swallowed one too many Apple ads.
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    B
    If an industry can't survive without resorting to copyright theft then maybe it's not a viable business. Imagine the business that could exist if only they didn't have to pay copyright holders. What makes the AI industry any different or more special?