An amateur historian has discovered a long-lost short story by Bram Stoker

https://github.com/mmastrac/gibbet-hill

Top and bottom halves of the page in the repo here:

https://github.com/mmastrac/gibbet-hill/blob/main/scan-1.png https://github.com/mmastrac/gibbet-hill/blob/main/scan-2.png

EDIT: If you have access to a multi-modal LLM, the rough transcription + the column scan and the instruction to "OCR this text, keep linebreaks" gives a _very good_ result.

EDIT 2: Rough draft, needs some proofreading and corrections:

https://github.com/mmastrac/gibbet-hill/blob/main/story.md

(I've transcribed various things over the years, including Sonia Greene's Alcestis [1] and Holtzman & Kershenblatt's "Castlequest" source code [2], so I know it doesn't take much except quick fingers and sufficient motivation. :))

[1] https://quuxplusone.github.io/blog/2022/10/22/alcestis/

[2] https://quuxplusone.github.io/blog/2021/03/09/castlequest/

EDIT: ...and as I was writing that, you seem to have finished your transcription. :)

LLMs are increasingly becoming cheaper and more accessible than humans with a baseline of literacy.

*: If you ignore the environmental costs.

They are better than me at many tasks.

> Not everything has to be solved by cheap* technological processes.

> *: If you ignore the environmental costs.

For many tasks, inference on an LLM is a lot cheaper (including for the environment) than keeping a human around to do them. As a baseline, humans by themselves take around 100W (just in food calories), but anyone but the poorest human also wants to consume eg housing and entertainment that consumes a lot more power than that.