I want to show how I liberate poorly aligned, pixelated PDF image scans of century-old Latin textbooks from the Internet Archive and transform them into glorious Org mode documents while preserving important typographic details, nicely formatted tables, and some semantic document metadata. I also want to demonstrate how I use a high-performance XML database engine to quickly perform Latin-to-English lookups against an XML-TEI formatted edition of the 19th century Lewis & Short dictionary, and using a RESTXQ endpoint and some XQuery code to dynamically reformat the entries into Org-mode for display in a pop-up buffer.

I intend demonstrate how I built a transcription pipeline in Emacs Lisp using tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, do Voice Activity Detection and chunking in Python with Silero, load the chunks into Gemini's context window, and send it off for transcription and macronization, gather forced-alignment data using local a local wav2vec2-latin model, and finally add word-level linguistic analysis (POS, morphology, lemmas) using a local Stanza model trained on the Classical corpus.

This all gets saved to an an XML file which is loaded into BaseX along with some metadata. I'll then demonstrate some Emacs Lisp code which pulls it into an Org-mode based transcription buffer and minor-mode for reading and study, where I can play audio of any given Latin word, sentence, or paragraph, thanks to the forced-alignment and linguistic analysis data being stored in hidden text properties when the data was fetched from the database.

Lastly, I'd like to explore how to leverage these tools to automatically create flash cards with audio cues in Org mode using the anki-editor Emacs minor mode for sentence mining.

I would love to stop using the YouTube client on iPadOS. Do you just d/l the video with yt-dlp+ffmpeg and then post process it based on your needs and then watch it from the Files app from iCloud or whatever?

    setxkbmap -option terminate:ctrl_alt_bksp

I stopped my nostalgia journey short of pimping out my console (sadly now only fbcon works, and the old vga modes are a legacy BIOS thing I think) with fonts and higher resolution, and enabling in the kernel the Alt+SysReq+g key for dropping into the kernel debugger, but there is always tomorrow!

It's pretty neat learning about iommu groups and doing NVMe passthrough with KVM/Qemu, and also messing around with the new (to me) Spice/virgl 3D acceleration. I was impressed I was able to play YT videos in the Ubuntu Virtual Machine Manager with hand-built mpv/ffmpeg + yt-dlp setup without dropping too many frames or serious glitches. Huzzah for libgl1-mesa-dri.

After that, I rebooted the host OS, jumped into the UEFI boot menu and booted the "guest" NVMe disk directly with my actual GPU, and it still worked. It's quite a trip down memory lane, typing 'startx' and having a both a :0.0 and :0.1 displays. That muscle memory from the 1990s is still going strong.

Ultimately, I want to give something back to the world in the next 10 years. I've benefited from so much open source and public domain stuff, I'd like to create something of use for others. Right now I'm really interested in AI assisted language learning pedagogy, and I'm working on an essay about how I use an ancient text editor, GNU Emacs, along with gptel and some other tools to help me me study an ancient language.

> Hail Satan

[0]: https://github.com/gijsdev/ublock-hide-yt-shorts

[0]: https://github.com/skeeto/elfeed

[1]: https://github.com/karthink/elfeed-tube

bad, evil, wicked; ugly; unlucky;

It's an interesting word in Latin, because depending on the phonetic length of the vowel and gender it vary greatly in meaning. The word 'malus' (short a, masculine adjective) means wicked, the word 'mālus' (long ā, feminine noun) means apple tree, and 'mālus' (long ā, masculine noun) means the mast of a ship.

    $ gtime /opt/homebrew/bin/emacs --batch --eval '(princ (format "%s\n" emacs-version))'
    30.2
    0.07user 0.03system 0:00.13elapsed 78%CPU (0avgtext+0avgdata 46064maxresident)k

    $ /usr/bin/time ~/bin/emacs --batch -eval '(princ (format "%s\n" emacs-version))'
    30.2
    0.02user 0.01system 0:00.04elapsed 95%CPU (0avgtext+0avgdata 57728maxresident)k

It's interesting that "consumers" are generally for the expansion of IP laws. At at the moment, I'm fairly certain that "style" is not something protected by Copyright. I personally do not want this, and I'm sure there are likely many like me. Poorly thought out IP laws lead to chilling-effects, DRM, stupid and unnecessary litigation, and ultimately a loss of digital freedoms.

> What 325 Cold Emails to Artists Taught Us

I'm surprised 1% didn't respond with "EAT HOT FLAMING DEATH SPAMMER" for sending them unsolicited commercial email. ;)

You can think of Emacs as a kind of software Lisp machine with an emphasis on editing. Although that analogy only works well if you squint or if you don't know a lot about Lisp machines.

As someone who first learned Lisp through Emacs Lisp, I found it fun, well-documented, and powerful. Once you grok the basics of how the system is dynamically glued together, infinitely hackable, and self-documenting it's kind of mind-blowing.

I also intend to dig into how to integrate Emacs with tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, load it into the LLM's context window, and send it off for transcription. If the essay isn't already too long, I'll demonstrate how to gather forced-alignment data using local models such as wav2vec2-latin so I can play audio snippets of Latin texts directly from a transcription buffer in Emacs. Lastly, I want show how to leverage Gemini to automatically create multimedia flash cards in Org mode using the anki-editor Emacs minor mode for sentence mining.