The action model has launched a new invitation-only Chrome extension that utilizes users’ browser activity data to train AI. The platform’s key feature is the introduction of API tokens as a reward mechanism, distributing $LAM governance tokens to participating users. Unlike traditional API-dependent automation tools, it adopts an approach that learns directly from actual user interactions.
Promoting User Participation through the API Token Reward Scheme
The most notable aspect of this system is its reward design utilizing API tokens. Users can share their activity data on the browser and earn $LAM tokens as rewards. According to NS3.AI, user privacy is strictly protected through opt-in data sharing and anonymization processes. This approach balances maintaining the quality of training data necessary for AI development while safeguarding user rights.
Transitioning to a Decentralized Governance Model for DAO Evolution
The platform ultimately aims to evolve into a decentralized autonomous organization (DAO) governance model. This transition will enable API token holders and other governance token holders to exercise control over the development direction of the AI systems they help train. In an environment where AI-driven automation is rapidly advancing, such ownership structures serve as an innovative approach to ensure the interests of participants in technological development.
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A new Chrome extension for AI training through API token rewards, Action Model, has launched
The action model has launched a new invitation-only Chrome extension that utilizes users’ browser activity data to train AI. The platform’s key feature is the introduction of API tokens as a reward mechanism, distributing $LAM governance tokens to participating users. Unlike traditional API-dependent automation tools, it adopts an approach that learns directly from actual user interactions.
Promoting User Participation through the API Token Reward Scheme
The most notable aspect of this system is its reward design utilizing API tokens. Users can share their activity data on the browser and earn $LAM tokens as rewards. According to NS3.AI, user privacy is strictly protected through opt-in data sharing and anonymization processes. This approach balances maintaining the quality of training data necessary for AI development while safeguarding user rights.
Transitioning to a Decentralized Governance Model for DAO Evolution
The platform ultimately aims to evolve into a decentralized autonomous organization (DAO) governance model. This transition will enable API token holders and other governance token holders to exercise control over the development direction of the AI systems they help train. In an environment where AI-driven automation is rapidly advancing, such ownership structures serve as an innovative approach to ensure the interests of participants in technological development.