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ICEBlock climbs to the top of the App Store charts after officials slam it

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  • Microsoft axe another 9000 in continued AI push

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    J
    If they marketed on the actual capability, customer executives won't be as eager to open their wallet. Get them thinking they can reduce headcount and they'll fall over themselves. You tell them your staff will remain about the same but some facets of their job will be easier, and they are less likely to recognize the value.
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    L
    Yeah this thread ended up being more hostile to regular Americans than I intended but US culture and US global hegemony are the things that attract and amplify the shitty people from around the world. USA is the final boss of capitalist imperialism and the people have completely lost control over the reins. It's now a matter of when they actually say enough is enough, be it now or after Fascism runs its course and hurts millions of others around the world as well.
  • Russian Internet users are unable to access the open Internet

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    Z
    Also don't forget all the suicides happening with hard to obtain poisons and shooting oneself in the back of the head three times.
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    woelkchen@lemmy.worldW
    Telegram isn't banned in Ukraine. Can't be that bad.
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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.
  • Palantir Revisited: Who’s Us in Us vs. Them? | naked capitalism

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    Niemand hat geantwortet
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    T
    You might enjoy this blog post someone linked in another thread earlier today https://www.wheresyoured.at/the-era-of-the-business-idiot/
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

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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.