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

Recently, there are many "AI + blockchain" projects that sound quite impressive, but not many of them are actually running.

1. Use the chain to run small language models (SLM),
2. Anyone who contributes data, computing power, or code can be recorded on the blockchain and automatically receive payments.
3. Finally, the model can be combined and called like a contract, rather than just being discarded after one run.
4. It is not creating an "AI alternative," but is building a layer that is truly for 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 combined, reused, and invoked like smart contracts.

🔹Not only running inference, but also training, deployment, and data labeling, every step has value records.

🔹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 reduce model deployment costs, and an ordinary machine can 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 accumulating points are all open.
In the future, $OPN incentives will also be released, which can be considered a window period for early participation.

It's never wrong to enter early 😎