Daniel Trejo
Corekeeper-research
AI & ML interests
The project does not aim to train frontier-scale foundation models or compete in large-scale pretraining. Instead, it focuses on experimental inference-layer research involving:
- residual trajectory observation,
- embedding-space analysis,
- continuity persistence testing,
- lightweight modulation systems,
- and inferential collapse dynamics inside transformer architectures.
Organizations
None yet