Design Principles

We design the systems that work according to our plan. Most times. Some times.

Our Scalability-First Principle

To maximize throughput in AMMO’s multiagent ecosystem, we enforce three foundational design principles:

1. Time Independence: Asynchronous Parallelism

Focus: Agents operate in parallel without synchronization bottlenecks.

• Goal Buddies (creator agents) generate creations and optimize embeddings simultaneously across subspaces.

• User Buddies (user agents) rank candidates asynchronously without requiring synchronous human feedback.

2. True Autonomy: Persistent Continuity

Focus: Agents run uninterrupted, even during human feedback integration.

• Goal Buddies evolve embeddings continuously; human feedback (via AiPP) updates preference vectors $q$ without halting simulations.

• Population-based training cycles mutate agents in the background.

3. Dimensional Transcendence: Compressed Intelligence [6]

Focus: All content-wise computations collapse to embedding dot products.

• Similarity checks, regret calculations, and novelty scores are computed as $e_i \cdot q$ or $e_i \cdot e_j$ in the 1536-dim space.

• Utility functions (e.g., $\mathcal{U}_{user}$​) reduce to linear algebra operations.

Together, they enable AMMO to handle billions of agents in real-world online deployment.