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In an era where artificial intelligence is fully involved in content production, the boundaries of creation are being redefined. Algorithm models, datasets, prompts, and even inference results have all become new forms of content and economic elements. However, the existing digital content system still remains at the "output result" level, lacking value recognition and measurement mechanisms for underlying production links such as models, algorithms, and data contributions. This causes content to experience a surge in growth, yet it cannot form a true asset expression within the economic structure.



The popularization of AI has made "generation" extremely easy, but true scarcity is shifting from "output" to "ownership and circulation rights." How are models priced? How is the use of algorithms tracked? How do creators earn ongoing revenue when their data is called upon? These questions expose the limitations of the current centralized platform structure—computing power and models are encapsulated as black boxes, and data contributions and content outputs cannot be transparently verified and settled, with the innovative value ultimately being intercepted by the platform.

The emergence of CodexField is improving this situation. The platform attempts to reconstruct content, models, and algorithms, this kind of "general content," in an assetized manner, endowing it with measurable, programmable, and circulable characteristics, so that content is no longer just a product result, but becomes a governable, revenue-sharing, and sustainably evolving economic unit. Based on this system, CodexField aims to establish a true "value layer" for the AI-driven content economy, a decentralized foundation that connects creation, invocation, rights confirmation, and incentives.

CodexField: The foundation of content assetization
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