“Time-locked models don't roleplay; they embody their training data. Ranke-4B-1913 doesn't know about WWI because WWI hasn't happened in its textual universe. It can be surprised by your questions in ways modern LLMs cannot.” “Modern LLMs suffer from hindsight contamination. GPT-5 knows how the story ends—WWI, the League's failure, the Spanish flu.” This is really fascinating. As someone who reads a lot of history an…
History LLMs: Models trained exclusively on pre-1913 texts
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Re: History LLMs: Models trained exclusively on pre-1913 texts
#412“Time-locked models don't roleplay; they embody their training data. Ranke-4B-1913 doesn't know about WWI because WWI hasn't happened in its textual universe. It can be surprised by your questions in ways modern LLMs cannot.” “Modern LLMs suffer from hindsight contamination. GPT-5 knows how the story ends—WWI, the League's failure, the Spanish flu.” This is really fascinating. As someone who reads a lot of history an…
This is why the impersonation stuff is so interesting with LLMs -- If you ask chatGPT a question without a 'right' answer, and then tell it to embody someone you really want to ask that question to, you'll get a better answer with the impersonation. Now, is this the same phenomenon that causes people to lose their minds with the LLMs? Possibly. Is it really cool asking followup philosophy questions to the LLM Dalai L…
Re: History LLMs: Models trained exclusively on pre-1913 texts
#413> Historical texts contain racism, antisemitism, misogyny, imperialist views. The models will reproduce these views because they're in the training data. This isn't a flaw, but a crucial feature—understanding how such views were articulated and normalized is crucial to understanding how they took hold. Yes! > We're developing a responsible access framework that makes models available to researchers for scholarly purp…
Re: History LLMs: Models trained exclusively on pre-1913 texts
#414Earlier quoted context omitted.
Stanisław Lem predicted Kindle back in 1950s, together with remote libraries, global network, touchscreens and audiobooks.
And Jules verne predicted rockets. I still move that it's quantitative predictions not qualitative. I mean, all Kindle does for me is save me space. I don't have to store all those books now. Who predicted the humble internet forum though? Or usenet before it?
The Shockwave Rider was also remarkable prescient.
Re: History LLMs: Models trained exclusively on pre-1913 texts
#415Earlier quoted context omitted.
The Machine Stops ( https://www.cs.ucdavis.edu/~koehl/Teaching/ECS188/PDF_files/... ), a 1909 short story, predicted Zoom fatigue, notification fatigue, the isolating effect of widespread digital communication, atrophying of real-world skills as people become dependent on technology, blind acceptance of whatever the computer says, online lectures and remote learning, useless automated customer support systems, and ov…
There is even more to it than that. Also remember this is 1909. I think this classifies as a deeply mysterious story. It's almost inconceivable for that time period. -people a depicted as grey aliens (no teeth, large eyes, no hair). Lesson the Greys are a future version of us. The air is poisoned and ruined cities. People live in underground bunkers...1909...nuclear war was unimaginable then. This was still the age o…
It’s interesting - Forster wrote like the Huxley of his day, Zamyatin like the Orwell - but both felt they were carrying Wells’ baton - and they were, just from differing perspectives.
Re: History LLMs: Models trained exclusively on pre-1913 texts
#416Everyone learns that the renaissance was sparked by the translation of Ancient Greek works. But few know that the Renaissance was written in Latin — and has barely been translated. Less than 3% of I’m working on a project to change that. Research blog at www.SecondRenaissance.ai — we are starting by scanning and translating thousands of books at the Embassy of the Free Mind in Amsterdam, a UNESCO-recognized rare book…
Amazing project! May I ask you, why are you publishing the translations as PDF files, instead of the more accessible ePub format?
Re: History LLMs: Models trained exclusively on pre-1913 texts
#417“Time-locked models don't roleplay; they embody their training data. Ranke-4B-1913 doesn't know about WWI because WWI hasn't happened in its textual universe. It can be surprised by your questions in ways modern LLMs cannot.” “Modern LLMs suffer from hindsight contamination. GPT-5 knows how the story ends—WWI, the League's failure, the Spanish flu.” This is really fascinating. As someone who reads a lot of history an…
Re: History LLMs: Models trained exclusively on pre-1913 texts
#418> Imagine you could interview thousands of educated individuals from 1913—readers of newspapers, novels, and political treatises—about their views on peace, progress, gender roles, or empire. Not just survey them with preset questions, but engage in open-ended dialogue, probe their assumptions, and explore the boundaries of thought in that moment. Hell yeah, sold, let’s go… > We're developing a responsible access fra…
understand your frustration. i trust you also understand the models have some dark corners that someone could use to misrepresent the goals of our project. if you have ideas on how we could make the models more broadly accessible while avoiding that risk, please do reach out @ history-llms@econ.uzh.ch
Re: History LLMs: Models trained exclusively on pre-1913 texts
#419Earlier quoted context omitted.
When you put it that way it reminds me of the Severn/Keats character in the Hyperion Cantos. Far-future AIs reconstruct historical figures from their writings in an attempt to gain philosophical insights.
The Hyperion Cantos is such an incredible work of fiction. Currently re-reading and am midway through the fourth book The Rise Of Endymion; this series captivates my imagination and would often find myself idly reflecting on it and the characters within more than a decade after reading. Like all works, it has its shortcomings, but I can give no higher recommendation than the first two books.
Without saying anything specific to spoil plot poonts, I will say that I ended-up having a kidney stone while I was reading the last two books of the series. It was fucking eerie.