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Musk's AI firm deletes posts after chatbot praises Adolf Hitler

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  • Tech Giants Team Up With Teachers Union on $23M AI Academy

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    D
    incorrect assessment: unions will gladly collaborate with 3rd party corps if it benefits them. Also unions protect interests of their members, not entire humanity...
  • Trump says US will start talks with China on TikTok deal this week

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    L
    Walk me thru how the tariffs will work on that, will ya taco boy?
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    It can be hard to guess who to bribe, or how big each bribe should be?
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    erev@lemmy.worldE
    meanwhile i set a wait and save so i have time to finish getting ready and uber tells me it's already arrived.
  • Pope Leo urges politicians to respond to challenges posed by AI

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    Niemand hat geantwortet
  • 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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    paraphrand@lemmy.worldP
    Network Effects.
  • Is Washington state falling out of love with Tesla?

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    These Tesla owners who love their cars but hate his involvement with government are a bit ridiculous because one of the biggest reasons he got in loved with shilling for the right is that the government was looking into regulations and investigations concerning how unsafe Tesla cars are.