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Vancouver man says institutions unable to recognize new Indigenous street name

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  • Open-Source vs Closed AI: What Businesses Must Know

    Technology technology
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  • 79 Stimmen
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    Right? The surprise would be if they weren't doing that.
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  • 311 Stimmen
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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.
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    That’s not the right analogy here. The better analogy would be something like: Your scary mafia-related neighbor shows up with a document saying your house belongs to his land. You said no way, you have connections with someone important that assured you your house is yours only and they’ll help you with another mafia if they want to invade your house. The whole neighborhood gets scared of an upcoming bloodbath that might drag everyone into it. But now your son says he actually agrees that your house belongs to your neighbor, and he’s likely waiting until you’re old enough to possibly give it up to him.
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    Do you think a plumber dreams about being a plumber?
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    The thing about compelling lies is not that they are new, just that they are easier to expand. The most common effect of compelling lies is their ability to get well-intentioned people to support malign causes and give their money to fraudsters. So, expect that to expand, kind of like it already has been. The big question for me is what the response will be. Will we make lying illegal? Will we become a world of ever more paranoid isolationists, returning to clans, families, households, as the largest social group you can trust? Will most people even have the intelligence to see what is happenning and respond? Or will most people be turned into info-puppets, controlled into behaviours by manipulation of their information diet to an unprecedented degree? I don't know.
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    Take a longer text (like 70 pages or so) and try to delete the first 30 pages.