Ben Brumfield

@benwbrum.bsky.social

Open Source #DigitalHumanities software engineer. Founder of FromThePage.com, a platform for collaborative #manuscript #transcription to engage the public in #archives and create digital scholarly editions.

100 years puts me at my great-grandparents generation, but I know what they were doing: Tobacco farmer Tobacco farmer Tobacco farmer Tobacco farmer My grandparents would have been approximately 10 years old, but they would have been pulling leaves or tying hands with the adults, depending on gender.

Revan@revan.eurosky.social · last wk.

Enough “what would you do on the commune questions” If you got sent back 100 years and were given your grandparent’s job, what are you doing?

I've been worrying about cognitive atrophy and moral disengagement from #AI use for a while, but it really bit me today. My dev machine is in the shop, and so Sara and I were using her laptop to run some Claude Code sessions. One session was for a one-off script to run analytics and report in CSV

Hey fellow DOGED-friends: did you get the message from the NEH that they're setting up a process for reinstatement? This seems like significant progress. Thanks to the staff at NEH who are doing the work behind the scenes to address the mistakes others imposed on their agency

The difficult part of any technological infrastructure that has been incorporated into an institution is that generally the institution has hollowed out whatever services and roles that technological was brought in to modify or replace, so uncoupling is an expensive and messy prospect.

Final thought on Paul Ehrlich: I happened to see him speak twice, once at HS graduation in ’90s and once at conference sponsored by Fortune (!?) in ’00s. Both times he offered same, disproven “population bomb” warnings he’d made for decades. As joke goes, he predicted ten of the next zero famines.

I stumbled across something interesting during a live demo in yesterday's webinar. Not having anything prepared, I tried a page in the Queens University Archives' Riel Resistance Collection. The hand was extraordinarily difficult for me, even though it was late 19th-century North American script

English-language text written in 19th-century script by one hand, using black ink for the first line (which contains a name, number, and dollar amount) with red ink for the remaining four and a half lines, apparently containing a terse narrative.

I'm not ready to discard the entire ecosystem we've built around making data openly available to possibly, hopefully slightly impair commercial AI training. Users uploading data (they often don't have the right to relicense for AI training) into AI models is a drop in the ocean.

"From a transcribers point of view I will be very unlikely now to continue devoting time to working on straightforward handwritten documents without an AI draft as a starting point ." She plans to attend our webinar this Thursday and might be willing to talk about her experience.

An update: after a week of testing, the same volunteer is now very happy: "I have been very pleased to use the AI facility in transcribing Nicholas Piper Log books for Whitby Literary & Philosophical Society." ...

But it really feels like libraries & archives as a field suddenly just went from "we aren't generally attempting to do automated handwriting recognition because it's at the edge of what's possible" to "oh boy now we have another doable but labor-intensive collections enhancement task on the backlog"

People who like to transcribe tend to be hands-on types, or puzzle solvers, or people who read between the lines. Transcribing is a way of thinking. It is not for every project, but for some projects, it can be crucial.

As someone with FtP projects, I think there are still several good reasons for people to choose transcribing. The goal is not necessarily to record the words, but to find meaning. Sometimes that comes from reading the words, other times it comes from closely reading each mark.+

I have never felt that AI is a threat to transcription projects. Transcription is such a fulfilling experience and the words run through you in ways that reading alone can never do. Meeting up with scribes of the past will always be thrilling.

We did a serious analysis of our experiments adding AI coding agents (Codex, Github Copilot Agent) to our development process at FromThePage for a group of friends in software yesterday, which I thought I'd share here as well. After a couple of months of experiments, the results are very mixed.

AI Dev Experiments

July 11: Assign new customer issue to Copilot agent – Success
July 20-26: Use Copilot agent to improve algorithm in side project – Spectacular Success
July 26: Use DeepResearch to identify duplicate issues in backlog – Failure
July 27/28: Processing Backlog with Copilot – Mixed Results
August 7-13: Multiple AIs researching production upgrade issue – Spectacular Failure