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Social Forum federato con il resto del mondo. Non contano le istanze, contano le persone

Ben Jennings (Guardian) on the Tangerine Tyrants' (so-called) Board of Peace.

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Gli ultimi otto messaggi ricevuti dalla Federazione
  • Chi esercita il DIRITTO di voto ha il DOVERE di informarsi.

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  • @levelbot I feel good about myself and this number.

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  • buckle up <-> buckle down axis

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  • @reiver@mastodon.social knowing people in general... They will get more bug reports if they said "whom"

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  • @reiver I've heard John Mastodon personally picks those out of a tall hat, for each user, individually. What a great man.

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  • I'm writing this in English.

    Not because English is my first language—it isn't. I'm writing this in English because if I wrote it in Korean, the people I'm addressing would run it through an outdated translator, misread it, and respond to something I never said. The responsibility for that mistranslation would fall on me. It always does.

    This is the thing Eugen Rochko's post misses, despite its good intentions.

    @Gargron@mastodon.social argues that LLMs are no substitute for human translators, and that people who think otherwise don't actually rely on translation. He's right about some of this. A machine-translated novel is not the same as one rendered by a skilled human translator. But the argument rests on a premise that only makes sense from a certain position: that translation is primarily about quality, about the aesthetic experience of reading literature in another language.

    For many of us, translation is first about access.

    The professional translation market doesn't scale to cover everything. It never has. What gets translated—and into which languages—follows the logic of cultural hegemony. Works from dominant Western languages flow outward, translated into everything. Works from East Asian languages trickle in, selectively, slowly, on someone else's schedule. The asymmetry isn't incidental; it's structural.

    @Gargron@mastodon.social notes, fairly, that machine translation existed decades before LLMs. But this is only half the story, and which half matters depends entirely on which languages you're talking about. European language pairs were reasonably serviceable with older tools. Korean–English, Japanese–English, Chinese–English? Genuinely usable translation for these pairs arrived with the LLM era. Treating “machine translation” as a monolithic technology with a uniform history erases the experience of everyone whose language sits far from the Indo-European center.

    There's also something uncomfortable in the framing of the button-press thought experiment: “I would erase LLMs even if it took machine translation with it.” For someone whose language has always been peripheral, that button looks very different. It's not an abstract philosophical position; it's a statement about whose access to information is expendable.

    I want to be clear: none of this is an argument that LLMs are good, or that the harms @Gargron@mastodon.social describes aren't real. They are. But a critique of AI doesn't become more universal by ignoring whose languages have always been on the margins. If anything, a serious critique of AI's political economy should be more attentive to those asymmetries, not less.

    The fact that I'm writing this in English, carefully, so it won't be misread—that's not incidental to my argument. That is my argument.

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  • I've been checking out @inkwell , the new journaling app on the Fediverse. It looks absolutely great. Fantastic work by @stanton. If you'd like to follow me there, check out @evan@inkwell.social.

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  • There is the complete list that Mastodon is suggesting I (potentially) follow.

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    @EugenioLiberoBocca @villebooksI can only talk about Italy but in that case the intervention was not a coup and it was coordinated with Italian resistance and with Italian political parties that were opposing the nazi-fascist regime.
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    Trump’s new National Security Strategy openly says the quiet part:🇺🇸 Break the EU🇺🇸 Weaken NATO🇺🇸 Boost far-right parties like AfD🇺🇸 Force Europe to bend to US economic interestsThis isn’t an “ally”. It’s a hostile power trying to pull Europe apart from within.#politics #EU #Europe #Trump
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    Over 40 years, we were collectively told to give tax cuts to rich people.And we were told that if we did that, wealth would trickle down and everyone would be better off.Over 40 years, pretty much everything got cut to fund these tax cuts.Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.People literally went homeless or starved, so rich people could get tax cuts.Because the wealth would trickle down.Eventually the eroding of public goods caused social dislocation.So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.But they said the wealth would trickle down.Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.But they said the wealth would trickle down.Eventually people were getting pissed off at the dire state of the world.The rich misdirected that anger at immigrants!And First Nations!And trans people!And neurodivergent people!Anyone but the billionaires who got the tax cuts.So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)But they said the wealth would trickle down.So did the wealth trickle down?Well...A group of billionaires saw this kinda cool tech demo.It predicted the next pixel of an image, based on the colour patterns of every image on the internet.It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.The rich decided that this clearly showed that a sentient computer was just around the corner.The problem was these tech demos needed servers with a lot of GPUs to work.So the rich took all the money they got from those tax cuts.And they bought GPUs.Millions and millions and millions and millions of GPUs.All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.In the end, it didn't trickle down.And instead of all the public goods it could have bought......We'll be left with millions and millions and millions of GPUs in a landfill.#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia
  • 0 Votes
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    #libertĂ distampa #bavaglio #Trump fa causa al New York Times @nytimes.com per 15 miliardi di dollari. https://short-url.org/1ax5lLa vignetta da #itregiornidelcondor #ThreeDaysOfTheCondor con #RobertRedford e il ruolo della libera stampa.Oggi per @repubblica