Plain-language talk track for the fixed-data DDA move and the meaning-compression ratio.
The formal site claim is narrower than the talk title: DDA is fixed-corpus decomposition and meaning compression is a proposed structured-signal-density measure.
Figure 1.DDA holds real data fixed and decomposes it into structured supervision through frozen instruments.
Figure description
The visual shows translucent source-data slabs feeding into a frozen multi-embedder panel. Output beams from the panel form a structured geometric lattice on the right, representing typed signals and relationships derived from fixed real observations.
Related publications
preprint / April 2026
Derived Data Abundance: How Multi-Modal Embedding Decomposition Solves the AI Training Data Crisis
DDA explainer preprint for fixed-corpus decomposition through frozen embedder panels.
DOI 10.13140/RG.2.2.22624.03845
Preprint status; not peer reviewed.
The title is broader than the formal site claim; the site frames DDA as a constructive fixed-data method.
Teleological Constellation Training: Multi-Modal Embedding Decomposition as Meaning Compression for Identity-Locked Generation and a Third Path Around the Data Wall
Primary framework preprint for DDA, meaning compression, TCT, and panel-relative generation guards.