Intellectual Property
Möbius Dynamics:
Biological Entropy Management
for Artificial Intelligence Systems
U.S. Provisional Patent Application 63/962,652
Möbius Dynamics introduces a novel framework for adaptive AI inference that
dynamically optimizes computational resources based on real-time monitoring
of latent entropy—the internal uncertainty within neural network representations
during inference. Inspired by biological homeostasis, the system comprises three
integrated components:
Entropy State Monitor (ESM): Measures variance in hidden layer activations
to classify inference tasks into LOW, MEDIUM, or HIGH entropy states.
Adaptive Compute Allocation (ACA): Scales precision, depth, and attention in real time—
reducing compute for routine tasks and preserving full fidelity for complex ones.
Coherence Preservation Protocol (CPP): Implements biological-style checkpoints to detect
and rollback degraded outputs before completion, preventing wasted computation.
Validated through simulation, Möbius achieves 35–75% energy savings across diverse workloads—
without model retraining or quality loss. Designed as drop-in middleware,
it’s immediately deployable on existing AI infrastructure, from cloud data centers to edge devices.
This invention bridges cybersecurity-grade resilience, biological intelligence principles,
and sustainable AI—positioning Negative Space Labs at the
forefront of post-efficiency AI architecture.