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Cake day: July 24th, 2023

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  • TheGrandNagus@lemmy.worldtoTechnology@lemmy.worldGoogle Keeps Making Smartphones Worse
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    10 hours ago

    Oh my fucking god, really?!

    You’re so smart, that never occurred to me. I thought that there was only 27 countries in the world, and all of them were in one continent!

    Yes, I do realise that, genius. I’m not from an EU country myself.

    However, I engaged my brain cells and quickly realised that most phones that exist are sold in the EU, and therefore the OEM has to make and test these updates anyway. In virtually all cases they will then release these worldwide.

    Like how the EU mandated USB-C and now it’s worldwide. The EU has quietly become the market that sets international standards over the past 20 years.

    I know it seems like I’m being mean in this comment, but fuck me it’s the most Reddit comment ever. A pointless comment just begging to start a pointless argument. Nobody can be bothered with that trolling shit. Do better.











  • LLMs are an interesting tool to fuck around with, but I see things that are hilariously wrong often enough to know that they should not be used for anything serious. Shit, they probably shouldn’t be used for most things that are not serious either.

    It’s a shame that by applying the same “AI” naming to a whole host of different technologies, LLMs being limited in usability - yet hyped to the moon - is hurting other more impressive advancements.

    For example, speech synthesis is improving so much right now, which has been great for my sister who relies on screen reader software.

    Being able to recognise speech in loud environments, or removing background noice from recordings is improving loads too.

    My friend is involved in making a mod for a Fallout 4, and there was an outreach for people recording voice lines - she says that there are some recordings of dubious quality that would’ve been unusable before that can now be used without issue thanks to AI denoising algorithms. That is genuinely useful!

    As is things like pattern/image analysis which appears very promising in medical analysis.

    All of these get branded as “AI”. A layperson might not realise that they are completely different branches of technology, and then therefore reject useful applications of “AI” tech, because they’ve learned not to trust anything branded as AI, due to being let down by LLMs.