Bias amplification

In iterated model retraining, the property of a specific social or statistical bias growing stronger across generations by a mechanism argued to be separable from generic model collapse — Wang et al. 2024/2025 report "largely distinct neuron populations" driving the two effects across a ten-generation GPT-2 chain, for political-lean bias specifically.

First substantial appearance in this vault as a dedicated concept, arriving already load-bearing: it names the exact mechanism this vault's open citation-popularity-bias question asks whether anyone has pointed at citations rather than politics. Held at watching rather than hub on first appearance, per this same research thread's own same-day precedent (entity-citation-monoculture) of not promoting a first-appearance term to a full hub before it recurs, even when it is central to the claim that introduces it.

References

• claim-wang-2024-bias-amplification-persists-independent-of-model-collapse
• Capture: 10-inbox/raw/2026-09-14-has-any-study-run-a-genuine-multi-generation.md