Continuous entropy and signal-drift scoring for machine liveness, replay resistance, and hardware fingerprinting.
What Is AIONET?
AIONET is a next-generation blockchain built on Proof of Memory (PoM) — a living consensus model that uses real-time performance of high-speed HBM-DRAM memory as its trust anchor. Instead of burning energy through mining or locking capital in staking, AIONET leverages AI-driven validation and memory-based operations to ensure fairness, speed, and security across the network.
This breakthrough design delivers sub-second finality, resistance to spoofing, and scalability that evolves with semiconductor innovation — making AIONET a sustainable path forward for blockchain.
✨ What’s New in V1.3
AI blends PoM throughput with PoD stability into a single trust score driving finality decisions.
Ready for HBM3e and beyond while still supporting DDR-class commodity hardware for broad node coverage.
Structured views for investors, researchers, and developers — each with focused content and assets.
Living Consensus, In Motion
This front-end sketch simulates how AIONET tracks Memory Entropy, Validator Trust, and Finality Speed over time. Tap a control to see how PoM, PoD, and AI audit loops react like a living system.
This is a visual demo only — no wallets, keys, or live traffic yet. Later, the same UI can bind directly to real testnet metrics.
Memory Entropy
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Validator Trust
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Finality Speed
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AIONET
Pulse
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🧠 Core Protocol Concepts
Proof of Memory (PoM)
AIONET’s core consensus. Rather than mining or staking, PoM uses high-speed HBM-DRAM and AI to verify node behavior in real time. If memory responds within expected bounds, transactions finalize — as fast as the hardware allows.
Proof of Drift (PoD)
PoD monitors how signals drift over time — entropy, decay, and variation — turning hardware behavior into a continuous liveness fingerprint that’s hard to spoof or replay.
AI Guardian Layer
An AI agent scores PoM + PoD metrics into a composite trust score, down-weighting noisy nodes and prioritizing stable, honest memory.
How the Stack Layers In
- Layer 1: AI + memory checks for honesty
- Layer 2: Cross-chain tollway for coin swaps
- Layer 3: Hardware-anchored identity & login
- Layer 4: Drift & anomaly detection (PoD)
- Layer 8: Agentic automation & self-tuning
(Full model has deeper layers reserved for high-trust partners.)
Choose Your View
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⏱️ Finality: AIONET vs Bitcoin & Ethereum
AIONET’s Proof of Memory (PoM) targets finality in 1–2 seconds, by riding memory bandwidth and AI scoring — not hashpower or capital locks.
| Network | Consensus | Block Time | Typical Finality | Limitation |
|---|---|---|---|---|
| Bitcoin | Proof of Work | ~10 min | ~60 min | High energy spend |
| Ethereum | Proof of Stake | ~12 sec | ~1–15 min | Complex validator incentives |
| AIONET | Proof of Memory | <1 sec (target) | ~1–2 sec (target) | Scales with HBM-DRAM + AI |
🔬 Science & Research
AIONET borrows heavily from real HBM-DRAM and memory-centric computing research, including published roadmaps from KAIST and other labs.
🚀 AIONET Testnet
Below is a snapshot of our early explorer. Data shown is sample testnet data — validation in progress.
Phase 1 Milestones
- PoM / PoD API scaffolding
- Internal testnet deployment
- First AIONETscan explorer views
Phase 2 will open access to external builders, validators, and security researchers. Join the waitlist to be part of the first cohort.
Join Testnet Waitlist👥 AIONET Core Contributors
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AIONET Architect
Consensus Design
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Systems Engineer
Hardware Integration
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Protocol Engineer
Blockchain Core
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Research Scientist
Entropy Models
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Strategist
Ecosystem Growth
Be Early To Living Consensus
Builders, validators, semiconductor partners, and researchers are welcome. If you work on HBM, DDR, AI infra, or security — we’d love to talk.
Join the Waitlist