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How Codatta is Rewriting the Rules of GenAI Economics with Royalty-Based Incentives
- AI companies traditionally pay a flat rate for data, train models, and keep most profits, creating a disconnect with contributors.
- Codatta introduces a royalty-based model to reward contributors like researchers and creators for their ongoing contributions.
- The traditional model leads to a mismatch in incentives and is unsustainable in the data-driven world.
- Codatta's decentralized Knowledge Layer tracks and credits contributors transparently, rewarding both creativity and contribution.
- Codatta shifts from extracting knowledge to sharing intelligence rewards, building a new data economy approach.
- As AI evolves into Agentic AI, Codatta's model aims to redefine how data contributors are valued and rewarded.
- Codatta's approach is focused on creating intelligent business models that benefit the communities powering them.
- The company's model ensures a fairer distribution of rewards and recognition for contributors in the AI space.
- Codatta is not just creating AI infrastructure but redefining the treatment of data contributors in the evolving data economy.
- The company's royalty-based business model seeks to align incentives and reward ongoing contributions.
- Codatta's system values and credits contributors through a transparent decentralized platform.
- The approach of sharing intelligence rewards is critical as AI models become more autonomous, adaptive, and domain-specific.
- Codatta is at the forefront of pioneering new AI business models that empower and recognize data contributors.
- The company is driving a shift towards models that reward communities fueling AI advancements.
- Codatta's initiative is reshaping the landscape of AI by prioritizing fair recognition and compensation for data contributors.
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