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An LAPD helicopter claimed to have ID'ed protesters from above and threatened to "come to your house"

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  • PauseAI presents: The Google DeepMind Protest

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    mcasq_qsacj_234@lemmy.zipM
    At 17:00, on Monday, the 30th of June, in Granary Square, London, PauseAI will be holding our biggest protest yet. It's already Tuesday, July 1st
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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.
  • The Quantum Tech Renaissance: Are We Ready?

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  • AI model collapse is not what we paid for

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    A
    I share your frustration. I went nuts about this the other day. It was in the context of searching on a discord server, rather than Google, but it was so aggravating because of the how the "I know better than you" is everywhere nowadays in tech. The discord server was a reading group, and I was searching for discussion regarding a recent book they'd studied, by someone named "Copi". At first, I didn't use quotation marks, and I found my results were swamped with messages that included the word "copy". At this point I was fairly chill and just added quotation marks to my query to emphasise that it definitely was "Copi" I wanted. I still was swamped with messages with "copy", and it drove me mad because there is literally no way to say "fucking use the terms I give you and not the ones you think I want". The software example you give is a great example of when it would be real great to be able to have this ability. TL;DR: Solidarity in rage
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    W
    that's because phone makers were pumping out garbage chargers with bare minimum performance for every single phone, isn't it?
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    S
    You could look into automatic local caching for diles you're planning to seed, and stick that on an SSD. That way you don't hammer the HDDs in the NAS and still get the good feels of seeding. Then automatically delete files once they get to a certain seed rate or something and you're golden. How aggressive you go with this depends on your actual use case. Are you actually editing raw footage over the network while multiple other clients are streaming other stuff? Or are you just interested in having it be capable? What's the budget? But that sounds complicated. I'd personally rather just DIY it, that way you can put an SSD in there for cache and you get most of the benefits with a lot less cost, and you should be able to respond to issues with minimal changes (i.e. add more RAM or another caching drive).
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    C
    Won't someone think of the shareholders?!