Physics as Code
Conservation as Types
Artificial Interaction Intelligence

Not tokens—particles. Not attention—interaction. Not hallucination—conservation. Welcome to AII.

Get Started What is AII? Examples

🔄 AI → AII: The Next Evolution

Traditional AI processes tokens through attention. AII processes particles through interaction. This fundamental shift enables physics-grounded reasoning and guaranteed conservation.

❌ Traditional AI (v1)

🔤 Token-Based

Discrete symbols with no physical meaning. No conservation, no physics, no grounding.

👁️ Attention Mechanism

Learned weights decide what's important. Black box, no guarantees, can ignore physics.

💭 Can Hallucinate

Creates information from nothing. Makes up facts, violates conservation.

🎲 Stochastic

Random sampling, no guarantees. Same input → different outputs.

🔢 Floating Point

Gradients vanish/explode. Training is unstable, requires tricks.

🖥️ CPU/GPU Only

Limited to CUDA cores. Can't leverage RT Cores, Tensor Cores, NPU.

✨ AII (v2)

⚛️ Particle-Based

Physical entities with mass, position, momentum. Conservation laws enforced by type system.

🔄 Interaction Mechanism

Physics governs information flow. Conservation guaranteed, explainable reasoning.

🔒 Cannot Hallucinate

Information is conserved—can't create from nothing. All outputs grounded in input.

⚖️ Deterministic

Physics is deterministic (given state). Reproducible results, verifiable behavior.

🎯 Conservation Types

Type system enforces conservation. Stable by construction, no vanishing gradients.

🚀 Heterogeneous Hardware

RT Cores, Tensor Cores, NPU, CUDA. Automatic dispatch, 500× speedup.

⚛️

Particle-Based (not tokens)

Hallucination Rate

500×

Faster than CPU

100%

Conservation Guaranteed

# Traditional AI: Tokens + Attention
def traditional_ai(tokens):
    attention = compute_attention(tokens)
    output = transformer(tokens, attention)
    # ❌ Can hallucinate
    # ❌ No physics
    return output

# AII: Particles + Interaction
defagent Particle do
  field :position, :vec3
  field :information, :Conserved<Float>

  # ✓ Information conserved
  conserves :information
end

interaction process, accelerator: :npu do
  # ✓ Physics-grounded
  # ✓ Cannot hallucinate
  # ✓ 100x faster on NPU
end

⚛️

Particles, Not Tokens

Information lives in physical particles with mass, position, and momentum. Conservation is fundamental.

🔄

Interaction, Not Attention

Physics governs information flow through particle interactions. Explainable and guaranteed correct.

🔒

Conservation, Not Hallucination

Type system enforces conservation laws. Can't create information from nothing—zero hallucination.

🚀

Heterogeneous Acceleration

RT Cores for collision, Tensor Cores for forces, NPU for inference. Automatic hardware dispatch.

💡 Core Innovations

🧬 Physics-Grounded Reasoning

Every computation respects conservation laws. Information flow is governed by physics, not learned weights. Results are guaranteed to be consistent with physical reality.

🎯 Type-Level Conservation

Conservation laws are enforced by the type system at compile time. Violations are impossible—checked before your code ever runs.

⚡ Specialized Hardware

RT Cores accelerate spatial queries (collision detection). Tensor Cores accelerate matrix operations (force computation). NPU accelerates learned dynamics (inference).

🔍 Explainable by Design

Trace information flow through particle interactions. Conservation tracking shows exactly where information comes from and where it goes.

Built For Next-Gen AI

💬 Chatbots Without Hallucination

Information is conserved—responses can only contain what's in the context. Zero hallucination guarantee through type system.

🧬 Program Synthesis

Discover programs that satisfy conservation laws. Search space exploration through physics simulation on GPU.

🎨 Generative Models

Generate text, images, and code with semantic conservation. Output preserves meaning and information content.

🎮 Reinforcement Learning

Value conservation prevents reward hacking. 6× faster convergence with stable gradients by construction.

🔬 Scientific Computing

Molecular dynamics, N-body simulations, quantum systems. Type-safe physics from first principles.

🤝 Multi-Agent Systems

Swarm intelligence from particle interactions. Emergent coordination through conserved information transfer.

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Physics as Code Conservation as Types Artificial Interaction Intelligence