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Joined 1 year ago
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Cake day: July 25th, 2023

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  • I used option 1 (KeePass synced to Google Drive) for years. It’s nice that you know you have control of your passwords at all times, and as long as you can access your cloud storage account and can download a KeePass app, you can get your passwords. It works reasonably well most of the time, but I was consistently running into edge cases that weren’t as smooth as I’d have liked (mostly apps on Android)

    I switched to vaultwarden (option 3), and immediately fell in love with things mostly just working. However, since I was hosting it out of my house, I had a bit of a disaster recovery problem. If i had say a fire, I could easily lose all copies of my vault, which would be… suboptimal.

    After reviewing the options, I switched to straight bitwarden. I’ve been happy with the experience, and once I have disposable income, I plan to get pro long enough to have emergency contacts available so my family can still get important passwords in case of the worst.

    All options have their pros and cons, but IMO password storage is something that deserves to be given proper consideration.


  • MajinBlayze@lemm.eetoSelfhosted@lemmy.worldAmount of RJ45 Ports on Home Server?
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    1 year ago

    Are you confusing “ports” with “interfaces”? I can see that happening since we do colloquially refer to both as ports depending on context.

    Each service will bind to it’s own “port” which is tied up by that service. However each interface (the external physical connection) supports like 65,000 software ports.

    So in practice, no, you don’t usually need more than one physical network connection to run multiple services.





  • It’s important to be clear what kind of actual system you’re using when you say “AI”.

    If you’re talking about something like ChatGPT, you’re using an LLM, or “Large Language Model”. Its goal is to produce something that reasonably looks like a human wrote it. It has reviewed a ridiculous amount of human text, and has a metric assload of weights associating the relationships between these words.

    If the LLM sees your question and associates a particular compound with superconductors, it’s because it’s seen these things related in other writings (directly or indirectly) or at least sees the relationship as plausible.

    It’s important not to ascribe more intent behind what your seeing than exists. It can’t understand what a superconductor is or how materials can achieve the state, it’s just really good at relaying related words in a convincing manner

    That’s not to say it isn’t cool or useful, or that ML(Machine Learning) can’t be used to help find answers to these kinds of questions.