CipherOcto is a verifiable decentralized AI operating system that combines deterministic AI computation, cryptographic verification, and blockchain consensus to enable trustless AI inference, training, and autonomous agent execution at scale.
The architecture spans five core domains:
- Deterministic Computation — Reproducible AI execution
- Verifiable AI — Cryptographic proof generation
- Consensus — Useful work securing the network
- Network — Distributed coordination
- Economic — Self-regulating compute market
┌─────────────────────────────────────────────────────────────────────────────┐
│ APPLICATION LAYER │
│ ┌─────────────────────┐ ┌─────────────────────────────────────────┐ │
│ │ Self-Verifying │ │ Autonomous Agent Organizations │ │
│ │ AI Agents │ │ (RFC-0414 (Agents)) │ │
│ │ (RFC-0416 (Agents)) │ │ │ │
│ └─────────────────────┘ └─────────────────────────────────────────┘ │
└────────────────────────────────────┬────────────────────────────────────┘
│
┌────────────────────────────────────▼────────────────────────────────────┐
│ AI EXECUTION LAYER │
│ ┌─────────────────────────┐ ┌─────────────────────────────────────┐ │
│ │ Deterministic │ │ Deterministic Training Circuits │ │
│ │ Transformer Circuit │ │ (RFC-0108 (Numeric/Math)) │ │
│ │ (RFC-0107 (Numeric/Math)) │ │ │ │
│ └─────────────────────────┘ └─────────────────────────────────────┘ │
│ │ │
│ ┌───────────────────────────────▼────────────────────────────────┐ │
│ │ Deterministic AI-VM (RFC-0520 (AI Execution)) │ │
│ └───────────────────────────────┬────────────────────────────────┘ │
└──────────────────────────────────┼───────────────────────────────────┘
│
┌──────────────────────────────────▼───────────────────────────────────┐
│ VERIFICATION LAYER │
│ ┌─────────────────────────┐ ┌─────────────────────────────────────┐ │
│ │ Proof-of-Dataset │ │ Probabilistic Verification Markets │ │
│ │ Integrity (RFC-0631 (Proof Systems)) │ │ (RFC-0615 (Proof Systems)) │ │
│ └─────────────────────────┘ └─────────────────────────────────────┘ │
└────────────────────────────────────┬────────────────────────────────────┘
│
┌────────────────────────────────────▼────────────────────────────────────┐
│ CONSENSUS LAYER │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Proof-of-Inference Consensus (RFC-0630 (Proof Systems)) │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌──────────────────┐ │ │
│ │ │ Sharded │ │ Parallel │ │ Data │ │ │
│ │ │ Consensus │ │ Block DAG │ │ Availability │ │ │
│ │ │(RFC-0740 (Consensus)) │ │(RFC-0741 (Consensus)) │ │(RFC-0742 (Consensus)) │ │ │
│ │ └─────────────┘ └─────────────┘ └──────────────────┘ │ │
│ └──────────────────────────────────────────────────────────────┘ │
└────────────────────────────────────┬────────────────────────────────────┘
│
┌────────────────────────────────────▼────────────────────────────────────┐
│ NETWORK LAYER │
│ ┌─────────────────────────────┐ ┌─────────────────────────────────┐ │
│ │ OCTO-Network Protocol │ │ Inference Task Market │ │
│ │ (RFC-0843 (Networking)) │ │ (RFC-0910 (Economics)) │ │
│ └─────────────────────────────┘ └─────────────────────────────────┘ │
└────────────────────────────────────┬────────────────────────────────────┘
│
┌────────────────────────────────────▼────────────────────────────────────┐
│ EXECUTION LAYER │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Deterministic Numeric Tower (RFC-0106 (Numeric/Math)) │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────────────┐ │ │
│ │ │ DFP │ │ DQA │ │ Numeric Types │ │ │
│ │ │(RFC-0104 (Numeric/Math)) │ │(RFC-0105 (Numeric/Math)) │ │(RFC-0106 (Numeric/Math)) │ │ │
│ │ └────────────┘ └────────────┘ └────────────────────┘ │ │
│ └──────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────┘
graph TD
subgraph Execution
RFC0104[RFC-0104 (Numeric/Math): DFP]
RFC0105[RFC-0105 (Numeric/Math): DQA]
RFC0106[RFC-0106 (Numeric/Math): Numeric Tower]
end
subgraph AI
RFC0120[RFC-0520 (AI Execution): AI-VM]
RFC0131[RFC-0107 (Numeric/Math): Transformer Circuit]
RFC0132[RFC-0108 (Numeric/Math): Training Circuits]
end
subgraph Data
RFC0133[RFC-0631 (Proof Systems): Dataset Integrity]
RFC0142[RFC-0742 (Consensus): Data Availability]
end
subgraph Consensus
RFC0130[RFC-0630 (Proof Systems): PoI Consensus]
RFC0140[RFC-0740 (Consensus): Sharded Consensus]
RFC0141[RFC-0741 (Consensus): Block DAG]
end
subgraph Network
RFC0143[RFC-0843 (Networking): OCTO-Network]
RFC0144[RFC-0910 (Economics): Task Market]
end
subgraph Agents
RFC0134[RFC-0416 (Agents): Self-Verifying Agents]
RFC0118[RFC-0414 (Agents): Agent Organizations]
end
RFC0104 --> RFC0106
RFC0105 --> RFC0106
RFC0106 --> RFC0120
RFC0120 --> RFC0131
RFC0131 --> RFC0130
RFC0132 --> RFC0130
RFC0133 --> RFC0130
RFC0130 --> RFC0140
RFC0130 --> RFC0141
RFC0130 --> RFC0142
RFC0140 --> RFC0143
RFC0141 --> RFC0143
RFC0142 --> RFC0143
RFC0143 --> RFC0144
RFC0130 --> RFC0144
RFC0131 --> RFC0134
RFC0133 --> RFC0134
RFC0134 --> RFC0118
The foundation layer ensuring bit-exact arithmetic across all nodes.
| Component | Purpose |
|---|---|
| DFP (RFC-0104 (Numeric/Math)) | Deterministic floating-point |
| DQA (RFC-0105 (Numeric/Math)) | Deterministic quantized arithmetic |
| Numeric Types | Q32.32, Q16.16 fixed-point |
Key Property: Any computation produces identical results on any hardware.
A virtual machine that executes AI models deterministically.
Features:
- 40-opcode instruction set
- Canonical operator implementations
- Hardware abstraction layer
- Deterministic scheduling
Efficient STARK circuits for transformer inference.
| Metric | Target |
|---|---|
| Proof size | <300 KB |
| Verification | <10 ms |
| Constraints/layer | ~10⁴ |
Techniques:
- Accumulator-based MATMUL
- Polynomial softmax
- GELU approximation
Verifiable gradient-based training.
Phases Verified:
- Forward pass (RFC-0107 (Numeric/Math))
- Loss computation
- Backpropagation
- Optimizer update
Cryptographic verification of dataset properties.
| Property | Proof Method |
|---|---|
| Provenance | Source signatures |
| Licensing | Metadata constraints |
| Poisoning | Statistical proofs |
| Statistics | Distribution checks |
AI inference replaces hash computation as consensus work.
| Property | Value |
|---|---|
| Block time | 10s |
| Work unit | FLOPs |
| Verification | STARK |
Reward Distribution:
- Producer: 40%
- Compute: 30%
- Proof: 15%
- Storage: 10%
- Treasury: 5%
Horizontal scaling of PoI across parallel shards.
| Metric | Target |
|---|---|
| Shards | 16-256 |
| Validators/shard | 100+ |
| Cross-shard | <5s |
Leaderless block production with Hashgraph-style consensus.
| Metric | Target |
|---|---|
| TPS | 1000+ |
| Confirmation | <10s |
| Finality | Checkpointed |
Efficient verification of shard availability.
| Property | Value |
|---|---|
| Detection | 99%+ |
| Samples | 10 |
| Bandwidth | O(1) |
libp2p-based P2P networking.
| Component | Technology |
|---|---|
| Discovery | Kademlia DHT |
| Propagation | Gossipsub |
| Routing | Request-Response |
Economic protocol for task allocation.
Pricing Mechanisms:
- Dutch auction (time-sensitive)
- Vickrey (important tasks)
- Fixed (standard)
Worker Selection:
- Reputation-weighted
- Stake-weighted
- Geographic
Agents that prove their reasoning.
Proof Components:
- Reasoning trace (5+ steps)
- Execution proof
- Strategy adherence
- Action commitment
sequenceDiagram
participant U as User
participant R as Router
participant W as Workers
participant P as Provers
participant V as Verifiers
participant C as Consensus
participant S as Storage
U->>R: Request inference
R->>S: Lookup model shards
S-->>R: Shard locations
R->>W: Assign inference task
W->>W: Execute in AI-VM
W->>P: Generate STARK proof
P-->>W: Proof
W->>V: Submit result + proof
V->>C: Verify proof
C->>C: Include in block
C-->>U: Confirmed result
| Token | Purpose |
|---|---|
| OCTO | Governance, staking |
| OCTO-A | Compute providers |
| OCTO-O | Orchestrators |
| OCTO-W | Workers |
| OCTO-D | Dataset providers |
- Numeric Tower
- AI-VM
- Transformer Circuit
- Proof Market
- Dataset Integrity
- Training Circuits
- Proof-of-Inference
- Sharded Consensus
- Block DAG
- OCTO-Network
- Task Market
- Data Availability
- Self-Verifying Agents
- Agent Organizations
| Layer | Protection |
|---|---|
| Execution | Deterministic arithmetic |
| Verification | STARK proofs |
| Consensus | Economic staking |
| Network | Peer filtering |
| Data | Erasure coding |
| Metric | Target |
|---|---|
| Inference latency | <1s |
| Proof generation | <30s |
| Block time | 10s |
| Network nodes | 10,000+ |
| TPS | 1000+ |
- RFC-0106 (Numeric/Math): Deterministic Numeric Tower
- RFC-0520 (AI Execution): Deterministic AI-VM
- RFC-0630 (Proof Systems): Proof-of-Inference Consensus
- RFC-0107 (Numeric/Math): Deterministic Transformer Circuit
- RFC-0108 (Numeric/Math): Deterministic Training Circuits
- RFC-0631 (Proof Systems): Proof-of-Dataset Integrity
- RFC-0416 (Agents): Self-Verifying AI Agents
- RFC-0740 (Consensus): Sharded Consensus Protocol
- RFC-0741 (Consensus): Parallel Block DAG
- RFC-0742 (Consensus): Data Availability Sampling
- RFC-0843 (Networking): OCTO-Network Protocol
- RFC-0910 (Economics): Inference Task Market
Last Updated: 2026-03-07 Version: 1.0