Continuous entropy and signal-drift scoring validated under live multi-node execution, enabling machine liveness detection, 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 fuses PoM throughput with PoD stability into a single adaptive trust score driving finality decisions under wide-bit hashing conditions.
Memory-bound execution path proven beyond traditional hash limits, supporting DDR-class systems today and architected for HBM3e and beyond without increased CPU stress.
Clear separation between raw execution data, summarized metrics, and investor-ready views — enabling independent inspection beyond surface-level claims.
🚀 AIONET Testnet — Live Observation
We recorded a live, continuous testnet run to demonstrate stability, continuity, and honest execution of wide memory-bound hashing in real time.
- Live Observation: Multi-node execution · wide-bit hashing (8192-bit) · sustained run · low CPU utilization
- BEMBH-8192: 8192-bit Memory-Bound Hash used as batch commitment
- Key claim: wide-hash output has meaning only with deterministic construction + execution context
- Note: the published clip may be time-compressed (constant fast-forward) to condense viewing
Coming next: a “Raw In → Transcribed Out” UI where hash-anchored records deterministically map to readable outputs.
Video size Hi-RES ~650 MB. Playback may take a few seconds to buffer. The clip is time-compressed at a constant rate for review.
BEMBH-8192 is not proposed as a replacement for SHA/AES, but as a memory-bound batch commitment and execution fingerprint used alongside standard cryptographic primitives.
🔍 AIONET Testnet — Live Observation (SHA-256)
Raw, unedited recording of the AIONET testnet operating in real time under a standard SHA-256 hashing configuration.
- Execution: 10-node testnet (real-time)
- Node composition: 8 honest validators · 2 adversarial (spoofing) nodes
- Hashing: SHA-256 (reference configuration)
- Transaction interval: 200 ms
- Editing: none (no fast-forward, no cuts)
Observed finality reflects security scoring, adversarial handling, and transaction cadence overhead — not theoretical minimum latency.
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
Pulse
🧠 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.
Roadmap Status
Phase 1 — Complete
Foundation & Living Consensus Validation
- PoM + PoD execution scaffolding (live)
- Internal multi-node testnet deployed & sustained runs recorded
- AI-scored trust model integrated into validation loop (internal)
- AIONETscan explorer preview (structured TX + trust + entropy view)
- Wide memory-bound hashing validation (BEMBH-8192 context)
Phase 2 — In Progress
Open Testnet & Builder Access
- External builder onboarding (first cohort via waitlist)
- Validator participation framework + reputation propagation
- Explorer read/write endpoints + SDK/API docs
- Deterministic replay tooling + audit-ready logs
Phase 3 — Planned
Security Hardening & Adversarial Testing
- Attack simulations (spoofing, replay, double-spend pressure tests)
- AI oracle hardening + anomaly thresholds
- Rate limits, supply controls, and economic abuse modeling
- Formal verification targets (select consensus-critical components)
AIONETscan — Explorer Preview
Static preview • validation in progress
View ↗
Join Testnet Waitlist
👥 AIONET Core Contributors
💾
AIONET Architect
Consensus Design
🔧
Systems Engineer
Hardware Integration
🔗
Protocol Engineer
Blockchain Core
🌊
Research Scientist
Entropy Models
🧭
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.
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