Rung 13 / What it learns from
Data
What the model is trained and grounded on, and what that constrains.
1
Sources
In scope: training-data supply and exhaustion, synthetic data, licensing and provenance, retrieval corpora, data quality effects on capability per token, contamination. Out: retrieval as a harness mechanism (harnesses), model architecture (models).
No sources yet. This rung is open and scoped, but nothing has been read into it — no papers registered, no concepts compiled. It will fill from the top of the reading queue rather than from a summary of other people’s summaries.
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