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ZeitgeistLM

zeitgeist.hariharprasad.com · 2,482 words · saved by 1 readers

ZeitgeistLM — a time-conditioned language model trained on Reddit memes.

Abstract We train ZeitgeistLM, a 124M-parameter decoder-only transformer from scratch on timestamped Reddit submissions and comments. ZeitgeistLM uses ordinary causal next-token prediction, augmented with a learned continuous-time prefix embedding projected from a scalar timestamp and prepended to the token sequence. This lets the model condition every prediction on time, interpolate smoothly between observed dates, and extrapolate beyond the training interval — capabilities that discrete learned time tokens do not naturally provide. The inclusion of this prefix embedding provides a single…

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