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OpenAI wins $200m contract with US military for ‘warfighting’

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  • 33 Stimmen
    5 Beiträge
    46 Aufrufe
    D
    If it's so good then why does deepseek-qwen slap
  • 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.
  • Founder of 23andMe buys back company out of bankruptcy auction

    Technology technology
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    A
    Come on up to Canada, we still got that garlic bomb. I can still taste the one from last week
  • France considers requiring Musk’s X to verify users’ age

    Technology technology
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    C
    TBH, age verification services exist. If it becomes law, integrating them shouldn't be more difficult than integrating a OIDC login. So everyone should be able to do it. Depending on these services, you might not even need to give a name, or, because they are separate entities, don't give your name to the platform using them. Other parts of regulation are more difficult. Like these "upload filters" that need to figure out if something shared via a service is violating any copyright before it is made available.
  • Meta is now a defense contractor

    Technology technology
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    B
    Best decision ever for a company. The US gov pisses away billions of their taxpayers money and buys all the low quality crap from the MIL without questions.
  • Pimax: one more brand exposed for promoting "positive reviews".

    Technology technology
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    moose@moose.bestM
    This doesn't really surprise me, I've gotten weird vibes from Pimax for years. Not so much to do with their hardware, but how their sales / promo team operates. A while back at my old workplace we randomly got contacted by Pimax trying to have us carry their headset, which was weird since we didn't sell VR stuff or computers even, just other electronics. It was a very out of place request which we basically said we wouldn't consider it until we can verify the quality of the headset, after which they never replied.
  • My AI Skeptic Friends Are All Nuts

    Technology technology
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    J
    I did read it, and my comment is exactly referencing the attitude of the author which is "It's good enough, so you should use it". I disagree, and say it's another dumbass shortcut to cash grab on a less than stellar ecosystem and product. It's training wheels for failure.
  • 0 Stimmen
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    D
    I don't think accuracy is an issue either. I've been on the web since inception and we always had a terribly inaccurate information landscape. It's really about individual ability to put together found information to an accurate world model and LLMs is a tool just like any other. The real issues imo are effects on society be it information manipulation, breaking our education and workforce systems. But all of that is overshadowed by meme issues like energy use or inaccuracy as these are easy to understand for any person while sociology, politics and macro economics are really hard.