Creating the Future: BytomDAO’s Innovation and Practice in Model Assetization
1.Background
With the advent of the AGI (Artificial General Intelligence) era, AI models as digital assets are becoming a key driving force in the development of the digital economy. The widespread application of AI models in fields such as natural language processing, computer vision, and intelligent decision-making systems is bringing significant transformation and development opportunities to society. In the future, as AI technology continues to advance and its application scenarios expand, the importance of AI models will further increase, becoming the core driver of digital economy development.
Taking a well-known open-source platform as an example, it allows users to download models and datasets after signing relevant authorization agreements, benefiting all parties involved. Currently, the platform hosts over 410,000 open models and more than 80,000 open datasets.
However, due to the unique nature of AI models, there is currently no dedicated market for trading or supporting services, whether for pricing the models themselves, handling the iterative premiums after models are launched, or profit-sharing for retrained models. Considering the special nature of such model asset platforms, a more secure, fair, and user-friendly environment is needed, thus prompting the emergence of decentralized agent platforms.
2.Model Value Discovery
As mentioned above, once models are publicly released online, they can be freely copied, making it difficult to confirm model ownership, and developers find it hard to profit from the dissemination of their models. BytomDAO proposes a solution for model assetization, aiming to confirm AI model ownership through “model chaining,” thereby realizing the value of AI models and achieving the concept of “model as value.”
Specifically, BytomDAO’s model assetization defines AI models as digital assets and uses smart contracts for ownership transfer and verification, ensuring the originality and value of the models. Additionally, blockchain permanently records each transaction and ownership change, ensuring transparency and traceability throughout the process. Technologically, BytomDAO uses BID as a unique identity identifier, serving as an invisible mark to track and prevent illegal distribution. Models are registered on the blockchain, appearing as NFTs, thus creating immutable ownership records and transaction histories.
This approach ensures model authors’ ownership rights, and by “chaining” the models as NFTs, they achieve assetization. With the smart contract and trading functions provided by the platform, model trading becomes more convenient and secure, promoting market liquidity and making models easier to buy, sell, and apply. To encourage more developers and researchers to participate in developing and sharing high-quality models, the platform must also provide economic incentives to ecosystem participants, thereby driving the development of the AI-driven DAO ecosystem.
3.Serving AI Models
BytomDAO, as an AI service platform, is committed to establishing a new model ecosystem through decentralized means and model chaining assetization, thereby better serving the community and promoting the development of the AI+Web3 industry. BytomDAO provides self-developed toolsets to help developers and businesses turn their AI models into tradable assets, protecting intellectual property through digital watermarking technology and ensuring transparent verification of model ownership and transaction processes using blockchain.
The model assetization process on BytomDAO as a DAO service platform primarily includes the following aspects. First, BytomDAO focuses on developing and providing a series of self-developed toolsets that help developers and businesses turn their AI models into tradable assets. These tools not only simplify the process of model creation, management, and trading but also enhance the efficiency and reliability of the entire process. For example, BytomDAO offers powerful watermark embedding technology, which prevents unauthorized copying and distribution of models after embedding digital watermarks, thereby protecting intellectual property. Moreover, the model verification system ensures the authenticity and ownership of the models, making transactions more transparent and trustworthy.
Secondly, BytomDAO effectively protects intellectual property through embedding difficult-to-remove digital watermarks, preventing illegal distribution of models. Additionally, BytomDAO’s robust public chain technology enables model chaining, achieving transparent and traceable model ownership verification and transaction processes, effectively tracking and preventing illegal distribution, thus better serving model issuers.
Lastly, it is worth noting that the circulation of the BTM token supports model assetization, and the governance of this process brings richer use cases for BTM.
Although BytomDAO operates as a service platform with a centralized model, its revenue model relies on the decentralized use and circulation of the DAO’s BTM tokens. User activities and transactions on the platform reflect in the value of BTM tokens. Through this method, BytomDAO achieves a win-win development between the platform and the community. For example, in the future, BytomDAO’s model popularity rises, attracting significant user attention and purchases. Model transactions on the platform will be settled using BTM as the transaction medium. With models being traded and used multiple times, and since each transaction requires a certain amount of BTM as transaction fees or collateral, the demand for BTM will gradually increase.
Thus, BTM serves as the medium for model transactions. On one hand, subsequent model transactions empower BTM, and on the other hand, the circulation of BTM makes the platform ecosystem healthier and more sustainable. The value growth of BTM reflects the healthy development of the platform ecosystem.
Furthermore, in BytomDAO’s model assetization process, BTM plays a crucial role as the core of the entire ecosystem. BTM is not only the “fuel” (Gas) for agent and model circulation, but in the future, users might also need to utilize BTM when publishing models and developing AGI. For instance, staking a certain amount of BTM ensures the quality and credibility of the published agents. This mechanism encourages the development and release of more high-quality models, further expanding the BTM ecosystem.
4.Conclusion
With the advent of the AGI era, the importance of AI models as digital assets is becoming increasingly prominent. However, the current market lacks effective trading and protection mechanisms, resulting in the underutilization and discovery of model value. BytomDAO’s model assetization solution, by chaining AI models and utilizing smart contracts and blockchain technology, achieves model ownership confirmation and transparent transactions, opening a new chapter of “model as value.”
BytomDAO’s vision not only rediscovered the value of AI models but also opened up a new model market, which will greatly change the development, trading, and application modes of AI models in the future. By protecting intellectual property and enhancing transparency and trust, BytomDAO injects new vitality into the AI model market, truly realizing the concept of “model as value,” and promoting the further development of the digital economy.
