Openleader: Reconstructed the distribution and incentive mechanisms of AI from the ground up.

The core Proof of Attribution mechanism allows data contributors to truly receive rewards, rather than providing data to large companies for free like traditional AI...

The design of Datanets makes it possible for the community to collaboratively build exclusive datasets, allowing ordinary people to participate in model training.

OpenLoRA modular training has further lowered the threshold, which is how AI democratization should look.

However, I think the biggest breakthrough is turning "using AI" into "owning AI."

Users are no longer passive consumers, but co-builders and beneficiaries of the ecosystem.
If this model can be successfully implemented, it will have a huge impact on the entire industry...

Looking forward to seeing more vertical scenarios implemented.

Fields such as healthcare, education, and finance particularly require this open collaboration model.

After all, if the issue of data silos is not resolved, AI will only be able to operate on the surface.

The key is whether the community can remain active and whether the incentive mechanism is truly fair and transparent.

But at least the direction is right...