But here's where I stopped doubting. The complexity everyone complains about? That's the moat. If tracking attribution was easy, Google would have done it. They didn't. Because their business depends on free data.
@OpenLedger runs toward hard problems. Three pillars hold it together. Datanets – community-owned intelligence pools where healthcare, legal, or trading data becomes a living economy. ModelFactory – turn those datanets into fine-tuned AI models without a PhD. OpenLoRA – run thousands of models on one GPU, cutting costs by 99%. Together, they make attribution real.
The testnet points aren't gamification. They're a stress test for a future where every AI output carries a digital receipt of who made it possible. Most projects avoid this because it's hard. @OpenLedger runs toward it because hard is the only thing that matters.
That's why this outlives 99% of AI coins. Not perfect today. But solving the one problem no one else wants to touch. Complexity isn't a bug. It's the whole damn point
