Hetu is building a deeply entangled intersubjective reality where humans and intelligence co-create. Our mission is to dissolve the trust gap between humans and intelligence, evolving towards a self-incentivized, self-evolving, self-operating society of deep intelligence.
| Pillar | Role | Output | Layer |
|---|---|---|---|
| Deep Intelligence Market | Capital Formation for Intelligence | Monetization, stablecoin liquidity, agent IPOs | Economic Layer |
| Truth Engine | Attribution & Consensus | Causal graphs, incentives, trustless audit | Truth Layer |
| Hyper-Scalable Layer 2 | Execution for Scientific-Grade AI | Real-time, low-latency compute and coordination | Infra Layer |
Economic Layer — Redefining capital formation around intelligence as an asset class, backed by measurable contribution and utility.
- EVM-compatible Mainnet/Subnet architecture.
- Decentralized Mixture-of-Experts (MoE) + training models.
- Consensus via Proof-of-Intelligence in expert model routing/aggregation.
- Dynamic model selection to incentivize new entrants.
- Intelligence Mining — Rewards based on compute + verifiable contribution.
- Native support for AI-for-Science workloads.
- HETU Mining — Mint tokens based on verifiable AI contribution (Proof of Execution & Contribution).
- AI-Stablecoin Payment Protocol — Stake HETU to mint stablecoins for licensing, microtransactions, and event-based payments.
- AI-NativeCoin / AI RBO (Revenue-Based Offering) — Tokenized, programmable cash flow rights for intelligence assets, enabling DeFi-style liquidity and financing.
Consensus & Attribution Layer — Audits, attributes, and rewards AI based on real utility.
- Verifiable AI Utility — Proofs for every inference, interaction, and data contribution.
- Proof of Causal Work (PoCW) — Directed Acyclic Graph (DAG) of events and their causal relationships; rewards based on causal weight.
- Intersubjectivity Framework — Bridges human metrics and agent-native consensus.
- Hyper-Scalability.
Execution Layer — Scientific-grade AI computation with high throughput and low latency.
- TPS: 210,000+
- Finality: 400ms
- Sequencer Layer — Fast transaction ordering, real-time coordination.
- DAG-based BFT Layer — High-throughput finality engine optimized for AI/science workloads.
| Vertical | Focus | Core Mechanism |
|---|---|---|
| 🤖 AI Money | Monetization of intelligence | $AI-NativeCoin (CVF, RVF), AI-Stablecoins |
| 🔬 AI for Science | Scientific data assetization | Encrypted data pipelines, model licensing |
| 💸 AIFi | Intelligence × Financial markets | AI × RWA, cash flow keys |
- Trades programmable cash flow rights (CVF, RVF).
- Verifiable cashflow auditing, real-time monetization, native AI yield loops.
- On-chain scientific provenance, dataset licensing, open AI/Science marketplaces.
- Brings RWA and capital markets on-chain.
Hetu Key Research of VLC:
- Chrono: A Peer-to-Peer Network with Verifiable Causality
- Building a Verifiable Logical Clock for P2P Networks
Hetu Key Consensus Research:
- 📄 NeoBFT: Accelerating Byzantine Fault Tolerance Using Authenticated In-Network Ordering (OSDI'20)
- 📄 Just Say NO to Paxos Overhead: Replacing Consensus with Network Ordering (OSDI'16)
- 📄 Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories (OSDI'20)
- Proof of Causal Work (POCW)
- Intersubjective Vision Paper
Hetu Key AI Research:
- Resource Multiplexing in Tuning and Serving Large Language Models
- Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
- ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
- FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation