HBM-DRAM / Proof of Memory / Proof of Drift / AI Validation
The First Living Consensus™ Blockchain
Powered by Proof of Memory, Proof of Drift, and AI validation.
AIONET combines memory-anchored execution, drift-aware validation, and AI scoring into a wallet-like browser experience that lets visitors explore how Living Consensus can feel in the hands of a real user.
What is AIONET?
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.
The result is a system designed for sub-second to low-second finality, resistance to spoofing, and scalability that evolves with semiconductor innovation.
Wallet-native narrative
Why redesign it as a wallet?
Visitors can feel AIONET as a user-facing experience instead of only reading protocol claims.
The wallet demo shows balance, swaps, explorer data, and settings with clean hooks for future APIs.
The whitepaper, testnet observation, roadmap, comparison, and contributor content remain part of the story.
Version update
What's New in V1.3
Continuous entropy and signal drift scoring under live multi-node execution supports liveness detection, replay resistance, and hardware fingerprinting.
AI fuses PoM throughput with PoD stability into a composite trust score for adaptive finality decisions under wide-bit hashing conditions.
Memory-bound execution is built for DDR-class systems today and architected for HBM3e-class hardware without heavier CPU pressure.
AIONET separates raw execution data, summarized metrics, and investor-ready views so the network can be inspected from multiple angles.
Live testnet observation
Testnet Observation and Playback
AIONET Testnet - Live Observation
BEMBH-8192Continuous observation demonstrating multi-node execution, wide-bit hashing, sustained runtime, and low CPU utilization under memory-bound conditions.
- Live multi-node execution with 8192-bit memory-bound hashing
- Deterministic construction plus execution context for wide-hash meaning
- Time-compressed viewing supported for faster review
AIONET Testnet - Live Observation (SHA-256)
Reference configRaw, unedited recording of the AIONET testnet operating in real time with 10 nodes, including adversarial validators and 200 ms transaction intervals.
- 8 honest validators and 2 spoofing nodes
- No cuts, no fast-forwarding, and no theoretical-only claims
- Observed finality reflects scoring, defense, and cadence overhead
Living Consensus in Motion
Living Consensus in Motion
This visual layer simulates how AIONET tracks memory entropy, validator trust, and finality speed over time. The same values feed the wallet and explorer demo above.
This is a visual demo only. No live chain traffic, wallet keys, or backend integration are wired up yet.
Memory Entropy
94%
Validator Trust
96%
Finality Speed
95%
Core Protocol Concepts
Core Protocol Concepts
Memory response becomes the consensus anchor, allowing node behavior to be validated in real time rather than through mining or locked stake.
AIONET monitors drift, entropy, and variation over time to create a hard-to-spoof liveness fingerprint for each validator.
AI scoring fuses PoM and PoD into a composite trust model that can down-rank noisy nodes and support rapid finality decisions.
Protocol stack
How the Stack Layers In
Audience framing
Choose Your View
Finality comparison
Finality: AIONET vs Bitcoin and Ethereum
| 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 and AI |
Science and research
Science & Research
AIONET borrows heavily from real HBM-DRAM and memory-centric computing research, including published roadmaps from KAIST and other labs.
Preview Executive Summary
AIONET testnet
AIONET Testnet Roadmap and Explorer Preview
- PoM + PoD execution scaffolding
- Internal multi-node testnet deployed
- AI-scored trust model integrated internally
- AIONETscan explorer preview structured around TX, trust, and entropy
- Endurance testing completed and VM spoof testing in progress
- External builder onboarding via waitlist
- Explorer endpoints plus SDK and API docs planned
- Wallet UX vision now prototyped in-browser
- Attack simulation for spoofing, replay, and double-spend pressure
- AI oracle hardening and anomaly thresholds
- Supply controls and abuse modeling
- Formal verification targets for consensus-critical paths
AIONETscan preview
Mini Explorer Snapshot
Open the current preview image or jump back into the in-page wallet explorer demo.
People behind the stack
AIONET Core Contributors
01
AIONET Architect
Consensus Design
PoM and PoD logic, validator flow, and Living Consensus architecture.
02
Systems Engineer
Hardware Integration
HBM-DRAM specialization, memory path optimization, and runtime validation.
03
Protocol Engineer
Blockchain Core
Testnet implementation, explorer endpoints, and transaction processing logic.
04
Research Scientist
Entropy Models
Trust scoring, drift analysis, and scientific framing around memory-aware consensus.
05
Strategist
Ecosystem Growth
Builder onboarding, roadmap communication, and adoption strategy.
Builders, researchers, validators
Be Early to Living Consensus
Builders, validators, semiconductor partners, and researchers are welcome. If you work on HBM, DDR, AI infrastructure, or security, AIONET wants to hear from you.