Buy European
Overview:
The community to discuss buying European goods and services.
Rules:
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Be kind to each other, and argue in good faith. No direct insults nor disrespectful and condescending comments.
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Do not use this community to promote Nationalism/Euronationalism. This community is for discussing European products/services and news related to that. For other topics the following might be of interest:
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Include a disclaimer at the bottom of the post if you're affiliated with the recommendation.
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No russian suggestions.
Feddit.uk's instance rules apply:
- No racism, sexism, homophobia, transphobia or xenophobia.
- No incitement of violence or promotion of violent ideologies.
- No harassment, dogpiling or doxxing of other users.
- Do not share intentionally false or misleading information.
- Do not spam or abuse network features.
- Alt accounts are permitted, but all accounts must list each other in their bios.
- No generative AI content.
Useful Websites
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General BuyEuropean product database: https://buy-european.net/ (relevant post with background info)
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Switching your tech to European TLDR: https://better-tech.eu/tldr/ (relevant post)
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Buy European meta website with useful links: https://gohug.eu/ (relevant post)
Benefits of Buying Local:
local investment, job creation, innovation, increased competition, more redundancy.
European Instances
Lemmy:
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Basque Country: https://lemmy.eus/
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๐ง๐ช Belgium: https://0d.gs/
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๐ง๐ฌ Bulgaria: https://feddit.bg/
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Catalonia: https://lemmy.cat/
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๐จ๐ฟCzech Republic https://lemmings.world/
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๐ฉ๐ฐ Denmark, including Greenland (for now): https://feddit.dk/
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๐ช๐บ Europe: https://europe.pub/
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๐ซ๐ท๐ง๐ช๐จ๐ญ France, Belgium, Switzerland: https://jlai.lu/
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๐ฉ๐ช๐ฆ๐น๐จ๐ญ๐ฑ๐ฎ Germany, Austria, Switzerland, Lichtenstein: https://feddit.org/
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๐ซ๐ฎ Finland: https://sopuli.xyz/ & https://suppo.fi/
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๐ฎ๐น Italy: https://feddit.it/
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๐ฑ๐น Lithuania: https://group.lt/
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๐ฑ๐บ Luxembourg https://lemmy.dbzer0.com/
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๐ณ๐ฑ Netherlands: https://feddit.nl/
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๐ต๐ฑ Poland: https://fedit.pl/ & https://szmer.info/
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๐ต๐น Portugal: https://lemmy.pt/
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๐ธ๐ฎ Slovenia: https://gregtech.eu/
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๐ธ๐ช Sweden: https://feddit.nu/
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๐น๐ท Turkey: https://lemmy.com.tr/
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๐ฌ๐ง UK: https://feddit.uk/
Friendica:
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๐ฆ๐น Austria: https://friendica.io/
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๐ฎ๐น Italy: https://poliverso.org/
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๐ฉ๐ช Germany: https://piratenpartei.social/ & https://anonsys.net/
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๐ซ๐ท Significant French speaking userbase: https://social.trom.tf/
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๐ต๐ฑ Poland: soc.citizen4.eu
Matrix:
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๐ฌ๐ง UK: matrix.org & glasgow.social
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๐ซ๐ท France: tendomium & imagisphe.re & hadoly.fr
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๐ฉ๐ช Germany: tchncs.de, catgirl.cloud, pub.solar, yatrix.org, digitalprivacy.diy, oblak.be, nope.chat, hot-chilli.im, synod.im & rollenspiel.chat
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๐ณ๐ฑ Netherlands: bark.lgbt
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๐ฆ๐น Austria: gemeinsam.jetzt & private.coffee
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๐ซ๐ฎ Finland: pikaviestin.fi & chat.blahaj.zone
Related Communities:
Buy Local:
Continents:
European:
Buying and Selling:
Boycott:
Countries:
Companies:
Stop Publisher Kill Switch in Games Practice:
Banner credits: BYTEAlliance
view the rest of the comments
Yeah, I want to be able to have a video call with my family that doesn't look like ass. I'd also like to be able to attend meet/zoom calls without being called out for using a potato.
Less so, but then again, if I'm in control of my data, getting a on-device speech to text for a conversation would be good, if I could use the hardware to fuel a swipe text model, that would be net positive.
Selfie cam: oh.
Personally I've never seen the advantage of my or others' faces in calls/conference-calls.
LLMs: are there open-source ones, not built from stolen text?
Don't think LLM, think specific training data. instead of tapping out T H I S, you press down at the T, swipe over to the h, up to the I and left to the S then release.
The NPU takes that squiggle you just made and runs it against a model that's been trained on tens or hundreds of thousands of squiggles to deciper the word you just swiped. It's not trained on books, or the whole of humanity and the internet, it's just trained on the keyboard app you're using and other people who have used it. if they swipe and keep going, the word was right and the squiggle counts, if they went back and corrected the text, that's the answer for the squiggle.
There are all kinds of AI things out there that aren't LLM based.