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#WritersCoffeeClub (Sep) 1: Intro: Shameless Self Promotion.

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Gli ultimi otto messaggi ricevuti dalla Federazione
  • @gian_d_gian @cagliari Cosa? 😂

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  • Un numero, a mio parere, spaventoso. E che io 56enne capisco solo superficialmente. In Italia 200mila , impatto maggiore su ragazze tra i 13-15 anni https://www.rainews.it/articoli/2026/03/in-italia-200mila-hikikomori-impatto-maggiore-su-ragazze-tra-i-13-15-anni-la-ricerca-e913dc31-50f6-4d0d-8f2d-46fdf36d91c2.html

    @societa

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  • @timbray my previous job was building greenhouse gas inventories.

    Data centres are responsible for about 1% of global greenhouse gas emissions. AI is responsible for about 15% of the data centre emissions, or about 0.15% of global emissions.

    People who talk about AI burning up the planet don't spend a lot of time thinking about what's really burning up the planet: fossil fuels for transportation and heating, deforestation, and cattle.

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  • > do not take a lot of power

    @raphael ... any more...

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  • @timbray When a new data centre is built it will take resources from the utility or add its own new generation. In the Bad Place (and many other places) this means it's likely adding new fossil fuel consumption infrastructure and increasing carbon emissions. Until recently that country was matching growth in utility generation with renewables: growth was 'green'. That has changed due to their stupidity and due to unregulated new generation like Musk's data centre(s) etc.

    It's a bit dumb to say cars are worse because while yes they are, in sane countries we are starting to manage that problem well with electrification, changes to the fleet.

    New data centres are generally bad, because they are designed to generate slop for the enrichment of the already very harmfully wealthy class and because they require new power generation that is almost certainly not coming from renewables.

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  • @timbray Is it just me, or do the guys doing the calculations on "entire energy consumption for an LLM programmer versus a human programmer" seem worryingly close to declaring that entire subsections of the population aren't worth the energy consumption, could be replaced by "AI", and would happily suggest culling them as if the only value of a person is lines of code generated 😐

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  • @timbray That number for LLM energy is bullshit, and the source in that thread appears to be something Sam Altman blogged, who as we know is someone who never just makes stuff up. (His post reads like ChatGPT voice, which of course it is) There is some severe weaseling be off by at least an order of magnitude—maybe the average query is "What day is it". Non-trivial queries light up 5-10kW of rack and that runs for significantly longer than seconds. This is roughly the same as a moving EV car.

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    the latest in Simane the Slayer. full comic at https://simane.thecomicseries.com/#webcomic #urbanFantasy #werewolf #art #MastoArt
  • another day.

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    @tsturm @midendian I have conflicting feeling looking back on my time living there. I miss hiking up the hills and overlooking everything, but I also get cold just thinking about being there.
  • #WritersCoffeeClub Nov 12th.

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    @SteveClough @cstross I write nothing more creative than documentation for the software I produce, but people misunderstand that, too.The experience of people misunderstanding my docs, or simply failing to read them, was one of the things that turned me away from evangelicalism. (I bet you didn't see that coming.) I wasn't using parables to hint at ineffable spiritual truths in the face of religious persecution: I was just explaining how software worked, how to see its current state, and how to configure and maintain systems. People who were paid to read and understand this material would not or could not do so: their repeated questions made it obvious. Within a very few years, instead of reading TFM, people developed folk stories of commands they could type that usually did something that could be mistaken for success. They veered constantly off-course, and I kept having to drag them back. They consulted each other, rather than the docs, and developed their own mythology about how the software worked. They intuitively felt they knew the software better than I did, because my approach to problem-solving was careful and methodical but they knew a golden shortcut.If concrete, human-level explanations, written out literally, landed so badly, there's no chance that people will have remembered the figurative and unfathomable teachings of Jesus seventy years after his death, written them down accurately and fully, and built from them a useful picture of worlds seen and unseen and the will of God. I'm sorry; it just doesn't ring true.
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    #WritersCoffeeClub Footnote: "Destiny" tends to show up more in fantasy than SF. On my to-do list is a hard-SF Chosen One narrative—our protag knows from an early age they're not like the other kids in the hive. Only as they near adulthood do they learn that they're a member of a rival eusocial hominin subspecies, and they've been created to infiltrate a neighbouring hive and kill and replace the queen ... Like, "Hellstrom's Hive" meets this whackiness in ants: https://www.nature.com/articles/s41586-025-09425-w