Action Model recently announced an invite-only Chrome extension designed to allow users to participate in AI training by sharing data from their browsing activities. This innovative initiative offers participants rewards in the form of governance tokens $LAM, creating a new economic model where contributors gain influence over the system they help develop.
How It Works: A Different Approach to AI Training
Unlike traditional automation tools that rely on APIs, this system learns directly from users’ real interactions in their digital work environments. Instead of simulating behaviors, the platform absorbs authentic patterns of how people actually browse and perform tasks. This provides more relevant and contextual training data for developing more accurate and useful AI models.
Privacy First: Notifications and Data Control
A key aspect is how Action Model addresses user privacy. Data sharing is voluntary, and all data is anonymized before being used for training. Users maintain full control over what information they share and can manage Chrome notifications to receive alerts only about activities relevant to their contribution program. This design ensures privacy is preserved while participating in AI training.
Tangible Rewards in $LAM
Each contribution is rewarded with $LAM tokens, which function as governance tokens. This structure creates a direct incentive for participation and economically recognizes the value users generate by providing quality data for AI training. Over time, accumulating these tokens represents not just financial gain but also voting rights on future platform decisions.
Transition to DAO: Shared Ownership of AI
Action Model’s roadmap includes a gradual transition to a Decentralized Autonomous Organization (DAO) model. In this future scenario, $LAM token holders will have democratic control over the evolution and direction of the AI system. This approach reimagines ownership in an era of increasing automation driven by AI: instead of merely consuming tools developed by corporations, users also become owners of the technologies that impact them.
This initiative offers an innovative perspective on how to distribute both the benefits and control of intelligent automation technologies among all ecosystem participants.
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Action Model Launches Chrome Extension to Train Artificial Intelligence with Token Rewards
Action Model recently announced an invite-only Chrome extension designed to allow users to participate in AI training by sharing data from their browsing activities. This innovative initiative offers participants rewards in the form of governance tokens $LAM, creating a new economic model where contributors gain influence over the system they help develop.
How It Works: A Different Approach to AI Training
Unlike traditional automation tools that rely on APIs, this system learns directly from users’ real interactions in their digital work environments. Instead of simulating behaviors, the platform absorbs authentic patterns of how people actually browse and perform tasks. This provides more relevant and contextual training data for developing more accurate and useful AI models.
Privacy First: Notifications and Data Control
A key aspect is how Action Model addresses user privacy. Data sharing is voluntary, and all data is anonymized before being used for training. Users maintain full control over what information they share and can manage Chrome notifications to receive alerts only about activities relevant to their contribution program. This design ensures privacy is preserved while participating in AI training.
Tangible Rewards in $LAM
Each contribution is rewarded with $LAM tokens, which function as governance tokens. This structure creates a direct incentive for participation and economically recognizes the value users generate by providing quality data for AI training. Over time, accumulating these tokens represents not just financial gain but also voting rights on future platform decisions.
Transition to DAO: Shared Ownership of AI
Action Model’s roadmap includes a gradual transition to a Decentralized Autonomous Organization (DAO) model. In this future scenario, $LAM token holders will have democratic control over the evolution and direction of the AI system. This approach reimagines ownership in an era of increasing automation driven by AI: instead of merely consuming tools developed by corporations, users also become owners of the technologies that impact them.
This initiative offers an innovative perspective on how to distribute both the benefits and control of intelligent automation technologies among all ecosystem participants.