What if the best AI solution is not just one large model?
This direction is a prospective research thesis. It does not claim that autonomous architecture synthesis or new-substrate synthesis is already implemented.
Compare possible solutions before choosing.
Capability rematerialization
Test an alternative materialization against a bounded capability contract without claiming global equivalence to the source system.
Executable realization graph synthesis
Treat decomposition, topology, state placement, routing and materialization choices as scientific hypotheses.
Cross-mission Meta-Science
Learn which experiments actually change decisions while preserving identity, provenance, campaign binding and anti-contamination rules.
New substrate synthesis
Propose new computational structures when recurring cost or failure survives simpler alternatives.
Transformers are an option, not a requirement.
Transformer-free runtime
A Transformer may serve during fabrication and disappear from the deployed QIR.
Transformer-free fabrication
Components are fabricated from data, knowledge, rules, graphs and specialized substrates without a mandatory teacher.
Transformer-free bootstrapping
The mission leads to synthesis, training, composition and qualification with no Transformer at any stage.
A replacement must prove it works.
Ideas, experiments and results you can check
The public repository exposes the architecture and a verification surface. Prospective research documents remain clearly separated from demonstrated capabilities.