This is not another "AI Plus Chain"; OpenLedger really wants to move the model onto the chain.

Recently, many "AI + blockchain" projects sound quite impressive, but not many have actually been implemented.

◾️◽️Use blockchain to run small language models (SLM),
Whoever contributes data, computing power, or code can be recorded on the chain and automatically receive payments.
◾️◽️The final model can still be combined and called like a contract, rather than being discarded after just one run.
◾️◽️It is not about creating an "AI alternative"; it is about building a layer that is truly used by agents.

You contributed data, models, and computing power for AI training. Why should the final benefits have nothing to do with you?

🔲 The core positioning is also very clear:

◾️◽️ What we are doing is "running a chain for small models", not speculating on the concept of large models.

Models can be composed, reused, and invoked like smart contracts.

◾️◽️ Not only running inference, but also training, deployment, and data labeling, every step has value recorded.

◾️◽️ The entry barrier is not high; a graphics card, a script, or a set of data can all access the system.

In other words, this is a truly on-chain execution environment prepared for AI Agents, not the kind of project that is just for sending images and playing with APIs.

Technically, they used OpenLoRA, which can compress model deployment costs, allowing a regular machine to run it.
It still uses an EVM-compatible architecture, so you don't need to learn a whole new set of things.

The testnet is now online, and running nodes, completing tasks, and earning points are all open.
In the future, $OPN incentives will also be released, which can be seen as a window period for early participation.

It's never wrong to get in early 😎