Can an AI Learning Architecture That Keeps Only Abstractions Change the Copyright Debate?
HotEstablishment7184 · reddit · 2026-08-26
The author is building a local AI system to explore an architectural distinction often overlooked in training-data disputes. The system has two parts: a strictly restricted evidence library (drawing only on public-domain or licensed resources for citation) and a separate abstraction layer.
- Abstraction layer design: outputs are intended as compact original representations of facts and causal relationships rather than retrieved fragments of source text. Source text is discarded after processing, and the abstraction layer is tested against reconstruction and near-leakage.
- Core question: does an architecture that deliberately prevents retention, retrieval, and imitation of source material change the ethical or legal analysis in a meaningful way? What technical standards would be needed to establish this boundary?
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