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Cake day: June 13th, 2023

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  • I tried Affinity Publisher 2 the other day and it convinced me to pull the plug on Adobe and switch on the Affinity suite. Everything was straightforward and far more intuitive than InDesign ever was (which itself was far better than Quark Xpress before it).

    I bought the Affinity Suite, exported all my Creative Cloud libraries (they’re just zip files with a different extension), copied all my Creative Cloud files to our self-hosted Nextcloud and off we went.

    I promptly cancelled creative cloud. As I’ve said before, I’ll miss generative fill in photoshop - it was very good.

    It’ll also take a while to figure out / learn Fusion as a replacement for AE but having spent a lot of time with Shake in the past, it’ll be fine.












  • thatsnothowyoudoit@lemmy.catoSelfhosted@lemmy.worldNextcloud zero day security
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    6 months ago

    Nextcloud isn’t exposed, only a WireGuard connection allows for remote access to Nextcloud on my network.

    The whole family has WireGuard on their laptops and phones.

    They love it, because using WireGuard also means they get a by-default ad-free/tracker-free browsing experience.

    Yes, this means I can’t share files securely with outsiders. It’s not a huge problem.


  • You’re conferring a level of agency where none exists.

    It appears to “understand.” It appears to be “knowledgeable. “

    But LLMs do neither of those things.

    Take this note from an OpenAI dev:

    It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.

    I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.

    But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.

    If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.

    My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.

    The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.

    It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.




  • I use Nextcloud. But that also means setting up and managing Nextcloud. By the same token you could use google drive.

    For notes and photos you can export them within the app. Notes specifically requires that you print and then hit the share on the print dialogue to save the notes to the file system as a pdf.

    Notes also has another option: if you have a non-Apple mail account on your phone - you can enable notes for that email account and simply move (or copy) your notes from one account to the other. The notes will then become available within that email account mailbox structure on any device or machine where that email account is enabled.

    For voice recordings you can save any voice recording directly to the iOS filesystem.

    The iOS files app also allows you to connect to any other server/desktop via SMB.

    There are lots of options here. None are awesome, but they work.


  • Update: I went and had a look and there’s a Terraform provider for OPNSense under active development - it covers firewall rules, some unbound configuration options and Wireguard, which is definitely more than enough to get started.

    I also found a guide on how to replicate pfBlocker’s functionality on OPNSense that isn’t terribly complicated.

    So much of my original comment below is less-than-accurate.


    OPNSense is for some, like me, not a viable alternative. pfBlockerNG in particular is the killer feature for me that has no equivalent on OPNSense. If it did I’d switch in a heartbeat.

    If I have to go without pfBlockerNG, then I’d likely turn to something that had more “configuration as code” options like VyOS.

    Still, it’s nice to know that a fork of a fork of m0n0wall can keep the lights on, and do right by users.