Published
The First Condition for a Local LLM to Evolve into a World Model
VENETA WorldModel puts a memory and self-improvement layer around your model instead of replacing it. Why the language models you run inside your own network fall short, and what changes when the layer is there. Measured on twelve open models, 12B to about 400B (MoE), and eleven smaller ones, 1.2B to 30B (MoE).
Cite as. Lee, H. and Lee, M. The First Condition for a Local LLM to Evolve into a World Model. VENETA Inc., v1.16, October 2026.
