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Ted Underwood 🦋
@tedunderwood.me
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / ciência social computacional / 計算社会科学. Information Sciences and English, UIUC. Author of Distant Horizons (Chicago, 2019).
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Even the unaligned models, I’d imagine, will provide at most a picture of what we believe or expect to see in the past. (Actual 19c / early 20c data is a tiny fraction of the training corpus.)

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RHheuser.bsky.social

Yeah, that's my point (I think). What we see is the past distorted by expectations learned from its uneven collapse into the present (the training data). The aligned models then try to "correct" that past. Both encode history and its biases somehow, but bizarrely, ambiguously, nearly untraceably so.

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TU
Ted Underwood 🦋
@tedunderwood.me
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / ciência social computacional / 計算社会科学. Information Sciences and English, UIUC. Author of Distant Horizons (Chicago, 2019).
4.5k followers3k following8.4k posts