Model Self-Talk Artifacts Linked to Synthetic Data Training
ctjlewis · x · 2026-08-22
The author attributes the model's tendency to generate nonsensical 'self-talk' text to the inclusion of synthetic data in training sets. Without human feedback to correct odd phrasing, these artifacts—often doors, gates, or D&D references—persist and are retrieved more frequently when attention is strained.
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