AI used, but this post is not AI.
As previously mentioned, I have some photos I want to name. They come in like 20261019_12345678.jpg, which is a date and then a timestamp. The problem in this use case comes when I am reviewing photos taken within seconds of each other. Reviewing them later, is the best photo 20261019_12345678 or 20261019_12345987?
I'm aware that I can use a Digital Asset Manager (DAM) for this task. These are what semi-pro photographers use, for example digiKam or DarkTable. I think my approach can integrate with other tools nicely. This is about making filenames more useful and less ugly. The files can still be sorted after that point. That approach cannot be automated, and this is about minimal intervention. I intend to use a DAM to sort these photos further.
So the task becomes adding English words to filenames. The only hard part is getting a suitable list of English words. After searching and asking here, I didn't find any that were tightly dedicated to being non offensive and extremely boring. My list is also focused on computing and filename related uses, so ambiguous words of that nature ("program") are also excluded.
This wordlist could be nice in any situation where a raw timestamp, hash, or set of words ("Charming Ferret") is used. It's meant for humans. Machines don't need to read English and they don't get offended. I will use this for photos and voice memos to start.
Starting wordlist:
- I combined SLIP 39 and BIP 39 for about 1500 words. The final wordlists were 278 and 156 words long (156 has fewer filename collisions, explained below).
- I added 5 words to cover X and Z - xeno zeal zest zeta zinc
I used Sonnet 5.5 to create an app that allowed me to hand-label the 1500 words as "boring" (good) or "not boring" (bad). I labeled A-D myself and then sent my labeled data and the categories to Claude and had it spit out the rest. Overzealously removing "good" words is not a big problem because I ended up with 278 viable words anyway. Claude's list of "good" words contained over 80% good words. I don't think I removed more than 50 words from its list.
I also tried to give this job to Jev, but it didn't seem to understand the problem. It may be too subjective or esoteric (does a model that small understand "wave" can be colloquially a file type?).
Good properties:
- high edit-distance between words in a short number of characters. (BIP 0039 does this in 4 characters)
- non offensive
- non exciting (see my last post)
- all 26 english letters covered
- not too many words with the same first 3 or 4 characters (repeat, replace)
Frowned upon word types:
- filename collisions: using my computer as a testbed (5 million files and folders), I used Everything to exclude the most prolific words and first-4-char substrings. "Program" had 840k results. "ease" had 386k results, many from "release". "starting" is the most prolific in beige-156, with 30k results. In the larger beige-278 list, results range from 840k for program, to 50k for install, to 40k for axis.
- anything exciting. Colors, good/bad opinions ("exciting", "impressive"), animals, etc. were frowned upon. I wanted to avoid implying anything about the contents of a file from the filename.
The wordlists are in the comments.