At three in the morning, I saw a chilling 'new star' on the leaderboard of an open-source model community. The style of the images it generated was so similar to the private LORA I had fine-tuned over the past six months that they could be twins. My Discord began to flood with inquiries from peers: 'Did you open-source your tuning data?' — I did not. But my works, the tens of thousands of finished images I published on multiple platforms, have long become free training fodder on the public internet. At that moment, I realized that on the eve of the AI creation explosion, what we creators face is not a technical barrier but a systemic, unmediated digital plunder.

This is precisely why I set aside all flashy narratives and conducted in-depth research. What attracts me is not the label of 'another AI public chain,' but its apparent understanding and beginning to solve the sharpest contradictions in this ecosystem: how to transform AI-generated content from 'data' that can be arbitrarily stolen into 'assets' with clear ownership, controllable processes, and captureable value.

From 'data flood zone' to 'property registration office': Vanar's underlying design philosophy.

Unlike many chains pursuing general smart contract platforms, Vanar's architecture reveals a clear focus on vertical scenarios. Its Kayon Runtime and Neutron data modules essentially create a coherent pipeline 'from generation to rights confirmation.'

I conducted a practical test: deploying a simple image generation dApp on Vanar. After users complete their creations, their prompts, initial seeds, iterative parameters, and the hashes of the final products are automatically packaged and generate a structured 'creation certificate' on-chain. The key to this process is that it records not just the hash of an image, but its verifiable generative lineage. It's like issuing a birth certificate documenting the complete 'DNA' of a digital work.

More meaningfully, its smart contract templates preset a multi-layered royalty and licensing framework. I can preset that 5% of the commercial sales revenue from any secondary creations based on this work (or its style model) will automatically flow to my address. This provides feasibility for the rights and benefits of something abstract yet highly valuable like 'style.' Vanar's role here has surpassed storage and accounting; it has become a legislative and enforcement layer for digital property rights.


The 'impossible triangle' currently faced by AI creators is: copyright protection, liquidity, and compliance licensing. Traditional platforms can at most solve one of these.

  1. The dilemma of copyright protection: under the existing internet architecture, once your work is published, rights become almost uncontrollable.

  2. The dilemma of liquidity: even if minted as NFTs, they mostly become static collectibles, difficult to integrate into the complex commercial licensing chain.

  3. The dilemma of compliance: brands want to use AI works, but cannot verify whether their training data is clean, whether the copyright chain is clear, and the legal risks are extremely high.

Vanar's solution is systematic:

  • Achieve copyright protection through on-chain lineage: theft or unauthorized style imitation cannot escape the face of verifiable generative records.

  • Activate liquidity through programmable royalties: turning works from a 'one-time sold JPEG' into a capital asset that generates ongoing income. Its native market supports complex licensing models (such as limited commercial use, partitioned sales).

  • Interfacing with real laws through compliant fields: contracts can link to real-world KYC/AML verification and digital signatures, providing brands with the legal certainty they urgently need.

Of course, Vanar's current state is far from perfect. The most intuitive feeling is its ecosystem's 'silence.' Browsing its blockchain explorer, most activities still revolve around official infrastructure and a few collaborative projects. It feels like a well-equipped 'digital creative industrial park' that has yet to welcome a wave of tenants.

Moreover, its tech stack poses a certain barrier for traditional Web2 developers. Although it is striving to lower the difficulty through more user-friendly SDKs and modular tools, building a mature and usable AI creation dApp still requires a composite team with knowledge in both blockchain and AI. This is a selection process: it actively abandons the pursuit of rapidly proliferating 'meme' applications, opting instead to attract serious builders who have serious needs for property rights and commercialization.

Investing in Vanar, rather than betting on the success of a public chain, is more like betting on the prediction of a historical trend: the explosion of AI content will inevitably create a rigid demand for digital property rights infrastructure.

As AI generation shifts from curiosity to productivity, and individual creators and large IP holders begin to seriously consider how to incorporate AI into their commercial landscapes, the chaotic 'data commons' will become unsustainable. The market will spontaneously seek solutions that can close the loop on creation, rights confirmation, licensing, and settlement.

Vanar's ambition is to become the default property rights protocol layer in this new world. It doesn't produce computing power or directly provide AI models, but it offers an ultimate ledger for all AI-generated value, detailing 'where it comes from, who owns it, and how it circulates.'

Therefore, my attention to this matter transcends short-term price fluctuations. It feels more like an early ticket to an upcoming digital property rights economic system based on AI. In this system, tokens are not only Gas but also the core medium coordinating the complex rights relationships between creators, developers, consumers, and investors.

Perhaps it still needs time, waiting for the first phenomenal AI-native application to explode on it, waiting for the first batch of AI artists who rely on on-chain royalties to sustain themselves to appear. But its design has already indicated that it is not built for hype, but to carry a more orderly and creatively rich AI future. In this future, creators no longer have to worry about silent plunder in the dead of night.