Perspective Paper Urges Shift to 'Adversarial Physics' for Probing Configuration Space Loopholes

The paper frames physics progress as inference plus prediction but advocates stress-testing assumed limits through deliberate construction of complex systems. Level one seeks unforeseen loopholes in known laws via engineered sequences, entanglement, and feedback; level two targets anomalies requiring theory revision; level three explores local rule modification. AI is positioned as essential for navigating high-dimensional configuration spaces that include temporal correlations and topological structures.

Traditional frontiers have under-sampled this space, the authors argue, because incremental experiments rarely combine multiscale organization with real-time control protocols. No empirical data or specific configurations are presented; the work remains a programmatic call rather than a results paper. Related efforts in quantum control and metamaterials show isolated anomalies but lack the systematic adversarial methodology outlined here.

If adopted, the paradigm could redirect funding toward large-scale simulation-plus-experiment loops, yet risks conflating computational exploration with physical realizability. Stronger evidence would require a funded pilot demonstrating at least one reproducible capability previously deemed impossible under standard models.

Next steps hinge on whether experimental groups translate the heuristic into concrete protocols within five years.