收据 > 感觉
@OpenledgerHQ 堆栈实际上连接:与钱包相关的数据网络,PoA,ModelFactory + OpenLoRA + Lagrange + 推理跟踪
EigenDA + OP-Stack L2 = 开发速度,桥接/浏览器在线;测试网 > 1m,10TB+ 验证市场价格来源
我的举动:构建一个小众数据网络,连接代理的 RAG,跟踪归属,复合成 $OPEN
支付源头,而不是孤岛
没有中介限制,没有感觉税
Open intelligence needs receipts, routes, and rewards
@OpenledgerHQ is wiring the stack end to end, and the pieces finally click:
- Datanets for specialized AI training data, curated by communities and tied to wallets
- Proof of Attribution so datasets, models, and agent decisions carry verifiable provenance
- ModelFactory + OpenLoRA + Lagrange + Inference Tracking = build → verify → reward loops, no vibe-based payouts
- Liquid Layer AI on an EVM L2 with EigenDA, bridge + explorer live, OP-Stack DNA for devs who ship
- Contributors upload niche data, run nodes, register tools, and get on-chain credit that actually travels
Scale looks real: testnet past the million mark, 10+ TB verified through the network, 20 teams building, enterprise pilots live, revenue booked and growing
Timing to watch: mainnet measured in weeks, TGE window on deck as rollout hardens
My playbook:
- Spin a datanet around a domain I know
- Wire my agents’ RAG pipelines to it
- Track inference, collect attribution, compound position ahead of $OPEN
Attribution → Transparency → Shared ownership
No black boxes, just auditable work that pays the source

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