OpenLedger is building an AI blockchain โ a platform where datasets, models, and inference arenโt just hidden behind closed doors, but transparently tracked, monetized, and governed. Key elements include:
Proof-of-Attribution: Every data provider who contributes to training gets rewarded whenever their data is actually used during inference. This helps solve the โblack-boxโ problem of traditional AI.
Datanets: Community-curated and sector-specific datasets (finance, medicine, Web3, etc.), making training more accurate, reliable, and relevant.
Model Factory / OpenLoRA: Tools to train, fine-tune, and deploy models more efficiently, even enabling many models to run on a single GPU, which drives down cost and resource usage.
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๐ก Token Utility & Tokenomics
What makes $OPEN more than just another token:
Total supply capped at 1,000,000,000 $OPEN. Circulating supply at Token Generation Event (TGE) is ~21.55%.
A large portion (~61.7%) is reserved for ecosystem & community rewards: for data contributors, model developers, validators โ essentially anyone actively pushing the protocol forward.
Use cases: gas fees, inference payments, governance participation, staking, reward distribution. Every inference (= using a model) implies attribution and reward.
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๐ Why this Could Matter
Transparency & Fairness: In an era where AI is dominated by a few large players, OpenLedger offers a model where data contributors and model creators see ongoing benefits.
Lower barriers for innovation: Because you donโt need huge infrastructure or to hoard massive datasets; thanks to tools like OpenLoRA and shared datanets, the cost & friction are lower.
Governance by community: $OPEN holders have a real say in protocol upgrades, funding model development, how public goods are supported โ not just passive investment.
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๐ฃ Call to Action
If you're interested in being part of that future, here are a few ways:
Start following official docs and roadmap for testnet/mainnet launch.
If possible, join datanets or contribute data โ even small specialized datasets may become very valuable as models need niche, high-quality data.
Keep track of governance proposals, staking opportunities, and how $OPEN rewards are being distributed.
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All in all, @OpenLedger is more than hype; itโs aiming to rewire how data & models are created, shared, and rewarded. If AI is going to affect everyone, we should build it so that everyone can benefit.
