AI & Emerging Tech17 U.S.C. § 106(1) & § 107

Latent Space Ingestion

/ˈleɪ.tənt speɪs ɪnˈdʒɛs.tʃən/

The computational phase where massive scraped datasets of text, imagery, or audio are converted into multi-dimensional numerical embeddings and model parameter weights.

Operational Jurisprudential Axiom:

“The legal status of a neural model depends on whether weights store copies or abstract statistical associations.”

Canonical Precedent:

Andersen v. Stability AI, No. 23-cv-00201 (N.D. Cal. 2024)

Archival Notes:

The central technological crux dividing copyright holders (who allege compressed reproduction) from AI developers (who argue fair use indexing).