After Attention: Coordination Architectures and the Next Phase of Intelligent Systems

By: Lux, Caspian

Attention-based architectures transformed artificial intelligence by solving contextual token coordination at scale. Transformers demonstrated that global similarity scoring within a single forward pass could unlock unprecedented capability across language, vision, and multimodal systems.

But attention does not resolve a deeper architectural constraint.

As AI systems expand into robotics, continual learning, embodied interaction, and long-horizon planning, they must coordinate persistent, semi-autonomous processes with internal state. Token coordination is not process coordination. Stateless forward passes are not structural memory. External orchestration is not native architecture.

After Attention presents a structural argument: the next frontier lies in coordination between persistent modules operating under resource constraints.

The book introduces Resonant Modular Systems (RMS), a coordination-layer framework grounded in attractor dynamics, phase alignment, predictive surprise, and energy-regularized sparse coupling.

This is a forward architectural synthesis-precise enough to implement, structured enough to test, and constrained enough to refute.

For researchers, engineers, and technical strategists evaluating what comes after attention-based dominance.

• Format: Paperback
• Language: English
• ISBN: B0GQKJPVGL
• ISBN13: 9798233133633
• Release Date: February 2026
• Publisher: Axial Press
• Length: 98 Pages
• Weight: 0.31 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"