Skip to content

Senate GOP budget bill has little-noticed provision that could hurt your Wi-Fi

Technology
72 43 392
  • 11 Stimmen
    9 Beiträge
    45 Aufrufe
    S
    TIL, thank you!
  • AI Pressure from the Top: CEOs Urge Workers to Adapt

    Technology technology
    1
    1
    1 Stimmen
    1 Beiträge
    11 Aufrufe
    Niemand hat geantwortet
  • SpaceX's Starship blows up ahead of 10th test flight

    Technology technology
    165
    1
    610 Stimmen
    165 Beiträge
    701 Aufrufe
    mycodesucks@lemmy.worldM
    In this case you happen to be right on both counts.
  • 311 Stimmen
    37 Beiträge
    207 Aufrufe
    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.
  • 157 Stimmen
    12 Beiträge
    52 Aufrufe
    W
    that's not just useless defeatism, but also false. effective end to end encryption exists in multiple forms today. signal, maybe even with a custom server. matrix if the server is being ran on trusted hardware. XMPP too with the right extensions.
  • 19 Stimmen
    1 Beiträge
    14 Aufrufe
    Niemand hat geantwortet
  • 21 Stimmen
    6 Beiträge
    39 Aufrufe
    sentient_loom@sh.itjust.worksS
    I want to read his "Meaning of the City" because I just like City theory, but I keep postponing in case it's just Christian morality lessons. The anarchist Christian angle makes this sound more interesting.
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

    Technology technology
    2
    1
    0 Stimmen
    2 Beiträge
    21 Aufrufe
    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.