En este trabajo de TNI intentan mapear el fascismo.
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En este trabajo de TNI intentan mapear el fascismo. Nos apetece centrarnos en la parte digital, ya que como bien sabéis, uno de los temas que nos preocupan es que los centros de datos suponen una concentración de poder en muy pocas manos.
Y esas manos tienen el interés de favorecer el fascismo. Según este trabajo de TNI, España es uno de los lugares donde el discurso extremista online es más alentado por las redes sociales privativas:
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En este trabajo de TNI intentan mapear el fascismo. Nos apetece centrarnos en la parte digital, ya que como bien sabéis, uno de los temas que nos preocupan es que los centros de datos suponen una concentración de poder en muy pocas manos.
Y esas manos tienen el interés de favorecer el fascismo. Según este trabajo de TNI, España es uno de los lugares donde el discurso extremista online es más alentado por las redes sociales privativas:
@tunubesecamirio los charlatanes tienen todos la audiencia que necesitan gracias al algoritmo, el tio del calcetín en la cabeza ya no tiene vergüenza de enseñar su jeto.
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undefined filobus@sociale.network shared this topic on
Gli ultimi otto messaggi ricevuti dalla Federazione
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Taco wants to break free. Does Netanyahu agree?
Trump tells Axios there's "practically nothing left" to target in Iran https://www.axios.com/2026/03/11/trump-iran-war-end-withdrawal
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@vanacksabbadium Ho il superpotere di "Svegliarmi prestissimo alla mattina e carburare velocemente". :D
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More fun with Nagisa and Micah (plus some lore).
CF - https://mis.thecomicseries.com/comics/267/
DA - https://www.deviantart.com/jocelynsamara/art/MIS-ch-7-p-234-Poker-Face-1308526279
Tapas - https://tapas.io/episode/3831215
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Chache Dioni (@dioniab.bsky.social)
https://bsky.app/profile/dioniab.bsky.social/post/3mgrxrwvlkc2p
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@julian@activitypub.space I actually just addressed something close to this in a reply up the thread—might be worth a read!
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@ddelemeny@mastodon.xyz @silverpill@mitra.social I relate to the immersion argument, and I think it's part of why I avoided machine translation for so long—not out of principle, but because the output wasn't worth learning from. Older MT between Korean and English produced something closer to a word-by-word skeleton than actual language. You couldn't look at it and think: oh, that's how a native speaker would put it. It was more like a scaffold you had to tear down before building anything.
LLMs are different enough that I've had to revise that instinct. The output is often genuinely idiomatic, and when I read a phrase that lands exactly right, there's a recognition that functions a lot like learning—the same feeling as encountering a sentence in a book and thinking: I'll remember that. I do find myself absorbing expressions that way, probably more than I would have expected.
That said, I think your point holds at the edges. For shorter writing I still work without assistance, partly for practical reasons and partly because I notice the difference when I don't. So I suspect I'm arriving at something similar to what you're describing, just from the other direction—using the tool for longer texts while trying to keep the muscle from atrophying entirely on shorter ones.
The dynamic you mention with German and Korean is interesting too. Korean was my concern about English; I imagine the lack of immersion shapes the experience in ways that are hard to compensate for with tools alone.
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You forgot to drink your water again, didn't you, you dry creaky old husk. Drink some now to feel the life flow back into your withered corpse and revitalise you. The water must flow!
