LARQL
Models are places you can go.
A SYSTEM BY CHRIS HAY ↗
LARQL explores querying learned systems. This dossier connects the software to questions about model state, representations and what it means to make a model addressable.
Models are places you can go.
What if the structure inside a model could be queried?
THE WORK
LARQL is a software project for exploring learned systems. The question behind this record is how the model’s internal representations become something we can inspect, address and work with.
THE THREAD
A model-as-database proposition connects this work to VINDEX3. The context notebook asks what becomes possible when earlier state can be returned to, rather than repeatedly reconstructed.
NO BENCHMARK CLAIM HERE
Record: software and an open line of inquiry
Evidence: refer to the actual software and experiments
A proposition is not a measured result.
no benchmark claim here — record: software and an open line of inquiry; evidence: refer to the actual software and experiments. A proposition is not a measured result.
SOURCES & PROVENANCE
- LARQL software ↗
- Homepage production brief
Project proposition supplied by Chris Hay, September 2026.
AUTHOR / CHRIS HAY · VERSION / 0.1
REFERENCE THIS DRAFT
An unpublished working record. These references identify the draft and omit a publication date. They become version-specific publication citations when the record is released.
Chris Hay. LARQL [Unpublished draft, version 0.1]. https://chrishayuk.com/work/larql