• dantheclamman@lemmy.worldOP
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      5 months ago

      Edge is branding itself “The AI Browser”. Chrome has plans to embed LLMs for text input. Opera, the browser which was commandeered from the original Vivaldi team and turned into a crypto/VPN gimmick browser, is of course among the hardest leaning into the LLM trend.

    • Ephera@lemmy.ml
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      5 months ago

      Webpage authors use LLMs to generate extremely long articles, to make you scroll by ads for longer. You use LLMs in your browser to summarize those articles. The circle of life, or something.

      • akrot@lemmy.world
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        5 months ago

        I stumbled upon a website through DDG, and after a long intro, the main section supposedly where the thing I was searching for had “Sorry I can’t fulfill your request right now”. Basically a fully generated page to match my search with some parasitic seo tactics. The web be chaging. Front page of DDG.

        • Hamartiogonic@sopuli.xyz
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          5 months ago

          Reminds me of the amazon products titled: “I’m sorry but I cannot fulfill this request it goes against OpenAI use policy,”.

          I think we’re way beyond the point of no return. The internet has been ruined for good.

    • LibreFish@lemmy.world
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      5 months ago

      Quick tool to summarize a page, proofread, or compare it to another source. Still needs a functioning human brain to separate the wheat from the chaff so to speak, but I could see a LLM (especially local) being useful in some ways.

      I’m sure there are disabilities or unique use cases that could increase it’s usefulness, especially once they improve more.

    • Byter@lemmy.one
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      5 months ago

      I’d love a browser-embedded LLM that had access to the DOM.

      “Highlight all passages that talk about yadda yadda. Remove all other content. Convert the dates to the ISO standard. Put them on a number line chart, labeled by blah.”

      That’d be great UX.

      • JoeyJoeJoeJr@lemmy.ml
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        5 months ago

        You are falling into a common trap. LLMs do not have understanding - asking it to do things like convert dates and put them on a number line may yield correct results sometimes, but since the LLM does not understand what it’s doing, it may “hallucinate” dates that look correct, but don’t actually align with the source.