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#enviornment — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #enviornment, aggregated by home.social.

  1. England faces water supply gap of nearly five billion litres a day by 2055

    England is heading towards a severe water supply deficit unless urgent action is taken, according to new government…
    #London #UnitedKingdom #UK #GB #England #Headlines #News #Europe #EU #Britain #ClimateChange #drought #enviornment #GreatBritain #Kent #london #ThamesWater #Water #waterstress
    europesays.com/uk/731160/

  2. Green Rameswaram Trust (under VK-NARDEP), has been honoured with the Governor's Award 2025 for Environmental Protection (Institution Category). The award was presented by the Honourable Governor of Tamil Nadu at Lok Bhavan, Chennai, on 26 January 2026. Shri Ramakrishnan ji, Prakalpa Pramukh, VK-NARDEP received the award, a recognition of committed service towards a greener and more sustainable future.

    #vivekanandakendra #naturalresource #enviornment

  3. King Charles and Cate Blanchett Join Forces For a Top-Secret Podcast Recording

    Both Blanchett and King Charles have advocated for issues of sustainability and the protection of biodiversity, topics discussed…
    #RoyalFamilies #Royal #Royals #Europe #Europa #EU #BritishRoyalFamily #cateblanchett #charles #CharlesIII #enviornment #fashion #kingcharles #kingcharlesiii #podcasts #RoyalFamily #royals
    europesays.com/2511466/

  4. Why don’t people find the environmental impact of TikTok as grotesque as that of ChatGPT?

    There’s a justified horror many people feel about the environmental impact entailed every time someone shares a prompt with a language model. While I’d be lying if I said I fully share that feeling, I experience something similar when I see pointless uses of image and video models. I’ve largely stopped making AI-generated images for this reason. I almost never have a real need to do it, unlike the other ways I use LLMs. I can understand that what I feel about these uses mirrors what others feel about all, or nearly all, uses of LLMs.

    Why, then, do we so rarely see a platform like TikTok discussed in these terms? As a commuter whose brain is wired in a way that public-transport cacophony can be mildly agonising, I’ve spent a lot of time thinking about this. The soundscape I find most difficult is when multiple people are absently flicking through short-form videos without ever watching one in full: each playing a couple of seconds from a whole sequence of clips, creating a disordered, overlapping noise on all sides. At this point, I find it almost impossible to tune out.

    One estimate suggests that TikTok’s annual carbon footprint may already exceed that of Greece. Mobile video is intrinsically energy-intensive, and the platform’s design encourages distracted browsing. For most users, it’s also a profoundly passive space: they consume rather than create, often in ways that feel distracted and subjectively unsatisfying. There’s something increasingly grotesque about this: a sense of people hypnotised by an object that simultaneously erodes their capacity to focus. It feels almost like a cruel joke: a self-fragmenting obsession.

    What strikes me as odd is that we feel so little moral unease about TikTok on these grounds, while generative AI attracts so much: and, for the most part, rightly so. For the avoidance of doubt, I’m not suggesting either/or, but both/and. Our analysis of the environmental impact of digital activity needs to encompass the whole platform landscape, and it needs to recognise the link between distracted engagement and (environmentally) wasteful use.

    #capitalism #enviornment #LLM #moralUnease #sustainability #TikTok

  5. Why don’t people find the environmental impact of TikTok as grotesque as that of ChatGPT?

    There’s a justified horror many people feel about the environmental impact entailed every time someone shares a prompt with a language model. While I’d be lying if I said I fully share that feeling, I experience something similar when I see pointless uses of image and video models. I’ve largely stopped making AI-generated images for this reason. I almost never have a real need to do it, unlike the other ways I use LLMs. I can understand that what I feel about these uses mirrors what others feel about all, or nearly all, uses of LLMs.

    Why, then, do we so rarely see a platform like TikTok discussed in these terms? As a commuter whose brain is wired in a way that public-transport cacophony can be mildly agonising, I’ve spent a lot of time thinking about this. The soundscape I find most difficult is when multiple people are absently flicking through short-form videos without ever watching one in full: each playing a couple of seconds from a whole sequence of clips, creating a disordered, overlapping noise on all sides. At this point, I find it almost impossible to tune out.

    One estimate suggests that TikTok’s annual carbon footprint may already exceed that of Greece. Mobile video is intrinsically energy-intensive, and the platform’s design encourages distracted browsing. For most users, it’s also a profoundly passive space: they consume rather than create, often in ways that feel distracted and subjectively unsatisfying. There’s something increasingly grotesque about this: a sense of people hypnotised by an object that simultaneously erodes their capacity to focus. It feels almost like a cruel joke: a self-fragmenting obsession.

    What strikes me as odd is that we feel so little moral unease about TikTok on these grounds, while generative AI attracts so much: and, for the most part, rightly so. For the avoidance of doubt, I’m not suggesting either/or, but both/and. Our analysis of the environmental impact of digital activity needs to encompass the whole platform landscape, and it needs to recognise the link between distracted engagement and (environmentally) wasteful use.

    #capitalism #enviornment #LLM #moralUnease #sustainability #TikTok

  6. Why don’t people find the environmental impact of TikTok as grotesque as that of ChatGPT?

    There’s a justified horror many people feel about the environmental impact entailed every time someone shares a prompt with a language model. While I’d be lying if I said I fully share that feeling, I experience something similar when I see pointless uses of image and video models. I’ve largely stopped making AI-generated images for this reason. I almost never have a real need to do it, unlike the other ways I use LLMs. I can understand that what I feel about these uses mirrors what others feel about all, or nearly all, uses of LLMs.

    Why, then, do we so rarely see a platform like TikTok discussed in these terms? As a commuter whose brain is wired in a way that public-transport cacophony can be mildly agonising, I’ve spent a lot of time thinking about this. The soundscape I find most difficult is when multiple people are absently flicking through short-form videos without ever watching one in full: each playing a couple of seconds from a whole sequence of clips, creating a disordered, overlapping noise on all sides. At this point, I find it almost impossible to tune out.

    One estimate suggests that TikTok’s annual carbon footprint may already exceed that of Greece. Mobile video is intrinsically energy-intensive, and the platform’s design encourages distracted browsing. For most users, it’s also a profoundly passive space: they consume rather than create, often in ways that feel distracted and subjectively unsatisfying. There’s something increasingly grotesque about this: a sense of people hypnotised by an object that simultaneously erodes their capacity to focus. It feels almost like a cruel joke: a self-fragmenting obsession.

    What strikes me as odd is that we feel so little moral unease about TikTok on these grounds, while generative AI attracts so much: and, for the most part, rightly so. For the avoidance of doubt, I’m not suggesting either/or, but both/and. Our analysis of the environmental impact of digital activity needs to encompass the whole platform landscape, and it needs to recognise the link between distracted engagement and (environmentally) wasteful use.

    #capitalism #enviornment #LLM #moralUnease #sustainability #TikTok

  7. Why don’t people find the environmental impact of TikTok as grotesque as that of ChatGPT?

    There’s a justified horror many people feel about the environmental impact entailed every time someone shares a prompt with a language model. While I’d be lying if I said I fully share that feeling, I experience something similar when I see pointless uses of image and video models. I’ve largely stopped making AI-generated images for this reason. I almost never have a real need to do it, unlike the other ways I use LLMs. I can understand that what I feel about these uses mirrors what others feel about all, or nearly all, uses of LLMs.

    Why, then, do we so rarely see a platform like TikTok discussed in these terms? As a commuter whose brain is wired in a way that public-transport cacophony can be mildly agonising, I’ve spent a lot of time thinking about this. The soundscape I find most difficult is when multiple people are absently flicking through short-form videos without ever watching one in full: each playing a couple of seconds from a whole sequence of clips, creating a disordered, overlapping noise on all sides. At this point, I find it almost impossible to tune out.

    One estimate suggests that TikTok’s annual carbon footprint may already exceed that of Greece. Mobile video is intrinsically energy-intensive, and the platform’s design encourages distracted browsing. For most users, it’s also a profoundly passive space: they consume rather than create, often in ways that feel distracted and subjectively unsatisfying. There’s something increasingly grotesque about this: a sense of people hypnotised by an object that simultaneously erodes their capacity to focus. It feels almost like a cruel joke: a self-fragmenting obsession.

    What strikes me as odd is that we feel so little moral unease about TikTok on these grounds, while generative AI attracts so much: and, for the most part, rightly so. For the avoidance of doubt, I’m not suggesting either/or, but both/and. Our analysis of the environmental impact of digital activity needs to encompass the whole platform landscape, and it needs to recognise the link between distracted engagement and (environmentally) wasteful use.

    #capitalism #enviornment #LLM #moralUnease #sustainability #TikTok

  8. Why don’t people find the environmental impact of TikTok as grotesque as that of ChatGPT?

    There’s a justified horror many people feel about the environmental impact entailed every time someone shares a prompt with a language model. While I’d be lying if I said I fully share that feeling, I experience something similar when I see pointless uses of image and video models. I’ve largely stopped making AI-generated images for this reason. I almost never have a real need to do it, unlike the other ways I use LLMs. I can understand that what I feel about these uses mirrors what others feel about all, or nearly all, uses of LLMs.

    Why, then, do we so rarely see a platform like TikTok discussed in these terms? As a commuter whose brain is wired in a way that public-transport cacophony can be mildly agonising, I’ve spent a lot of time thinking about this. The soundscape I find most difficult is when multiple people are absently flicking through short-form videos without ever watching one in full: each playing a couple of seconds from a whole sequence of clips, creating a disordered, overlapping noise on all sides. At this point, I find it almost impossible to tune out.

    One estimate suggests that TikTok’s annual carbon footprint may already exceed that of Greece. Mobile video is intrinsically energy-intensive, and the platform’s design encourages distracted browsing. For most users, it’s also a profoundly passive space: they consume rather than create, often in ways that feel distracted and subjectively unsatisfying. There’s something increasingly grotesque about this: a sense of people hypnotised by an object that simultaneously erodes their capacity to focus. It feels almost like a cruel joke: a self-fragmenting obsession.

    What strikes me as odd is that we feel so little moral unease about TikTok on these grounds, while generative AI attracts so much: and, for the most part, rightly so. For the avoidance of doubt, I’m not suggesting either/or, but both/and. Our analysis of the environmental impact of digital activity needs to encompass the whole platform landscape, and it needs to recognise the link between distracted engagement and (environmentally) wasteful use.

    #capitalism #enviornment #LLM #moralUnease #sustainability #TikTok

  9. When heat and drought stress trees, the consequences can be tragic – National

    Sometimes it happens without any more warning than the sound of cracking. A tree physiologist said that several…
    #NewsBeep #News #Environment #CA #Canada #Enviornment #Fire #Science #Wildfires
    newsbeep.com/ca/95564/

  10. As a society, are we experiencing a mass psychosis and becoming disconnected from the reality that is the natural world around us? #enviornment #mentalhealth

    rabble.ca/columnists/overcomin

  11. As a society, are we experiencing a mass psychosis and becoming disconnected from the reality that is the natural world around us? #enviornment #mentalhealth

    rabble.ca/columnists/overcomin

  12. As a society, are we experiencing a mass psychosis and becoming disconnected from the reality that is the natural world around us? #enviornment #mentalhealth

    rabble.ca/columnists/overcomin

  13. As a society, are we experiencing a mass psychosis and becoming disconnected from the reality that is the natural world around us? #enviornment #mentalhealth

    rabble.ca/columnists/overcomin

  14. As a society, are we experiencing a mass psychosis and becoming disconnected from the reality that is the natural world around us? #enviornment #mentalhealth

    rabble.ca/columnists/overcomin