• 0 Posts
  • 16 Comments
Joined 2 years ago
cake
Cake day: December 8th, 2023

help-circle
  • I kind of railroaded myself into using calibre unfortunately.

    I have a very specific filenaming scheme which I originally came up with back when I only used folders for organising my books in order to group together books that belong to a series but where the series is part of a larger universe.

    Basically my folder structure is {World}/{Reading Order}; {Series} #{Series_Index} - {Title} - {Author}

    On my kobo I have the autoshelf plugin installed which automatically parses this information when I add books and groups them together by world while filling out the series information.

    In order to properly make use of this system I need to use Calibre custom columns and be able to export the books I want with this specific name format. I have yet to find a program other than calibre that would support this.

    It would probably be smarter for me to reorganize my books at some point but I really like being able to basically drop a ton of books at once onto my reader using SFTP and as far as I can tell all common options rely on manually downloading the books, sending them directly to the reader or pulling them from their internal file storage in whatever form the application stores them…

    I do like Audiobookshelf for the ability to add a book to multiple series, but the missing mass export functions stop me from switching


  • I name mine after greek and roman gods.

    My NAS is bamed Hestia, the goddess of the bearth and home.

    My docker server is called Poseidon due to the sea iconography of docker. My second iteration of my docker server where I tried playing around with podman I called Neptune.

    I briefly had a Raspberry Pi for experimenting with some stuff which was called Eileithyia, the goddess of childbirth.

    My Proxmox machine on which pretty much all ky other servers are run as VMs is called Atlas, as the Titan holding up my personal network.

    I also have a truenas VM which I boringly called truenas…








  • I remember building something vaguely related in a university course on AI before ChatGPT was released and the whole LLM thing hadn’t taken off.

    The user had the option to enter a couple movies (so long as they were present in the weird semantic database thing our professor told us to use) and we calculated a similarity matrix between them and all other movies in the database based on their tags and by putting the description through a natural language processing pipeline.

    The result was the user getting a couple surprisingly accurate recommendations.

    Considering we had to calculate this similarity score for every movie in the database it was obviously not very efficient but I wonder how it would scale up against current LLM models, both in terms of accuracy and energy efficiency.

    One issue, if you want to call it that, is that our approach was deterministic. Enter the same movies, get the same results. I don’t think an LLM is as predictable for that






  • I typically use EndeavorOS because I enjoy how well documented and organized the arch wiki is.

    I tried switching to fedora on my laptop recently but actually had some issues with software that was apparently only distributed through the AUR or AppImage (which I could have used, I know).

    When I also had issues setting up my VPN to my home network again, I caved and restored the disk to a backup I took before attempting the switch. The VPN thing almost definitely wasn’t Fedoras fault since I remember running into the same issue on EndeavorOS but after my fix from last time didn’t work I was out of patience.

    My servers runs either on debian or Ubuntu LTS though.