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  • What is this new Bitchat scam that crypto-bros think is good?

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    It's fully Bluetooth, so it's not exactly the same as the internet messaging apps
  • AI Robots Could Fill $10 Trillion Labor Gap as World Ages

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    Or maybe create opportunities that people can meet?
  • Trump extends TikTok ban deadline by another 90 days

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    TikTacos
  • 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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    anzo@programming.devA
    Interesting! Python and Bash do the same as British.
  • The Quantum Tech Renaissance: Are We Ready?

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    Niemand hat geantwortet
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    There is a huge difference between an algorithm using real world data to produce a score a panel of experts use to make a determination and using a LLM to screen candidates. One has verifiable reproducible results that can be checked and debated the other does not. The final call does not matter if a computer program using an unknown and unreproducible algorithm screens you out before this. This is what we are facing. Pre-determined decisions that human beings are not being held accountable to. Is this happening right now? Yes it is, without a doubt. People are no longer making a lot of healthcare decisions determining insurance coverage. Computers that are not accountable are. You may have some ability to disagree but for how long? Soon there will be no way to reach a human about an insurance decision. This is already happening. People should be very anxious. Hearing United Healthcare has been forging DNRs and has been denying things like treatment for stroke for elders is disgusting. We have major issues that are not going away and we are blatantly ignoring them.
  • Microsoft is putting AI actions into the Windows File Explorer

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    Cool, so that's a specific problem with your needed use case. That's not what you said before.