Jim Clifford

@jimclifford.bsky.social

Professor of History, University of Saskatchewan Co-Editor of Historical Methods. Environmental and digital historian of London, Canada and the British World in the 19th century. #dyslexic

To the risk of being cancelled here on Bluesky, I'm sharing an interview with @leotranscribes.bsky.social on using LLMs in historical research. I hope to have sufficiently highlighted the necessary precautions. Glad to read your thoughts on the matter!

Thiago Krause on HTR, AI Agents and Archival Discovery

A historian working across 100+ archives on how HTR and AI agents surface documents no catalogue indexes — and why he now reads more manuscripts, not fewer.

tryleo.ai

I’m very frustrated with @anthropic.com for their attempts to curtail competition by attacking open weight models. I’m equally frustrated with knee jerk reactions on BlueSky about them (a) breaking copyright law by downloading digital books and (b) following copyright law by shredding paper books.

Do I get angry that Anthropic bought those books and therefore *can* use them for their private-sector research? No, the part that pisses me off is that we in the public sector also bought them and we can’t—essentially because we a) don’t count as a single organization and b) are timid.

My secret, Cap, is that I'm *always* angry about old books. For instance, here's a tiny slice of the millions of books 1931-1986 that have no commercial value, that are digitized, but that we're unable to use in large-scale research because they are illegal to share or display.

a tiny random fraction of books in HathiTrust 1931-1980 in English that include the word "philosophy" somewhere in metadata

Copyright laws, digital distribution deals, & publishing monopolies are the reason destructive book scanning is putting books at risk. I get why folks are angry at AI companies buying books to destroy them. However, these issues predate them and hang a lot on books being subject to "market forces."

It always felt likely that early concerns over AI electricity demand as usage scaled failed to account for armies of engineers working on efficiency. Maybe Jevon’s paradox means usage grows faster than efficiency, but I expect efficiency gains will continue. www.cnbc.com/2026/07/20/a...

Alphabet stock pops on report it's developing a more efficient AI chip

The new AI chip, called "Frozen v2," would embed parts of Gemini's architecture directly into the silicon, according to the report.

cnbc.com

I didn’t really have a horse in this race after cheering for Canada’s most impressive men’s team in history. But I became a Spain fan after terrible sportsmanship at the end of the England game and it was super fun to see Argentina lose. www.nytimes.com/athletic/745...

Argentina disgraced themselves, and the World Cup final, with their charmless petulance

Argentina's passion was an asset but too often in this World Cup it has spilled over into distasteful aggression

nytimes.com

I think David is right here, and it reminds us to distinguish a) emotional impact of a model solving abstract problems better than I do from b) job-market impact. On (b) I am firmly a normal-technology guy. Human decisions and human relationships are needed to get things done. +

conputer dipshit@davidcrespo.bsky.social · 2w ago

surely some fields really are in trouble, but worth noting software engineering was hit with all this way before anyone else, and senior software engineers do not have any less work to do (unclear about entry level: looks like some decline in employment but not a collapse)

Fable is a powerful research assistant for history with a deep knowledge of the historiography and the ability to parse messy historical data. It still has some of the flaws of all LLMs. It stops before the job is done and is overconfident. But it has the potential to transform historical research.

Ted Underwood@tedunderwood.com · 2w ago

For me the Fable-class models crossed a threshold from “That’s clever, and is the sort of technical detail I might have expected a human reviewer to catch” to “Huh, not sure I would have thought of taking this that direction, and it’s a real improvement.” Ngl, it’s been disconcerting.

For me the Fable-class models crossed a threshold from “That’s clever, and is the sort of technical detail I might have expected a human reviewer to catch” to “Huh, not sure I would have thought of taking this that direction, and it’s a real improvement.” Ngl, it’s been disconcerting.

I just finished The Soul of the New Machine by Tracy Kidder. It is wild how similar the concerns were 45 years ago. AI, job loss, increased control for management, power of tech leaders, and just about every other concerns we have today.

Bild