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Rung 05 DataSwitch rung
Rung 05 / What it learns from

Data

What the model is trained and grounded on, and what that constrains.

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Sources
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Concepts
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Entities
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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).

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SyntheticLicensingProvenanceExhaustion
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Sources compiled for this topic
TypeSourcePublished
ANALYSISWhat Authors Need to Know About the Anthropic Settlement (Bartz v. Anthropic, $1.5bn class settlement)
The Authors Guild · The Authors Guild

A court-set per-unit price for pirated training data: ~$3,000 per title across ~500,000 qualifying titles from a $1.5bn fund, against 7 million copies from LibGen and PiLiMi. The fair-use ruling covered TRAINING; the $1.5bn covered ACQUISITION — the distinction most coverage collapses. Final-approval date unresolved (hearing 2026-05-14 per this source).

2025-09-25