I was wondering how easy and reliable it is to work with NextCloud in any professional setting. Does it put too much maintenance work on DevOps to a level that makes just using things like dropbox the standard way? I read that German government uses nextcloud because it offers better control over data. Do the companies care about this matter too? or should I just learn big cloud alternatives?
Comments URL: https://news.ycombinator.com/item?id=41619526
Points: 17
# Comments: 12
Created
2mo
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Sep 22, 2024, 9:20:13 PM
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![The Surprising Effectiveness of Test-Time Training for Abstract Reasoning [pdf]](data:image/png;base64,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 "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning [pdf]")
Article URL: http://www.mit.edu/~akyurek/papers/ttt.pdf
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