Triathon Roadmap
About Triathon's Future and Development Plans
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About Triathon's Future and Development Plans
Last updated
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Initiate governance procedures using the Grow token to create a trustworthy and controllable AI project.
Ensure all resources are hosted on Trias for trustworthiness.
Establish mechanisms for Grow token holders to participate in AI training for controllability.
Train an AIA through the Grow governance model.
The AIA will propose AI training requirements and use the Grow platform for submissions.
AI models will be trained based on the results of community voting.
Introduce AI+Fuzz techniques to control the functional boundaries of AI and prevent training from going astray.
Implement dynamic AI training paths set by Triathon to ensure the evolution of the AIA towards a trustworthy and reliable intelligent autonomous system.
Focus on achieving the final goal of creating an Artificial Intelligent Agent (AIA) capable of autonomous decision-making while maintaining trustworthiness and controllability.
Decentralized Data Marketplace: Establish a decentralized data marketplace on the Triathon platform where researchers and contributors can buy, sell, and share data related to AI training. Through privacy computing techniques, researchers can process data and train models without revealing raw data, ensuring data privacy protection. Grow token holders can manage data access and pricing through a voting mechanism, ensuring controlled and fair data utilization.
Open-Source Research: Establish a grant program funded by the Grow token to incentivize researchers to contribute to the development of the AIA and share their findings openly.
DAO for AIA Governance: Form a Decentralized Autonomous Organization (DAO) where Grow token holders can vote on key decisions regarding the AIA's training path, ethical considerations, and future development.
Celebrate the achievement of establishing a trustworthy and controllable AI system.
Assess the progress made towards the goal of creating an Artificial Intelligent Agent (AIA).
Evaluate the effectiveness of the governance model using the Grow token.
Plan for further advancements and improvements in the AIA's capabilities.
Explore additional applications and use cases for the AIA in various industries.
Continuously monitor and refine the governance mechanisms to ensure the long-term sustainability of the AI project.
Establish an Artificial Intelligent Agent (AIA) capable of autonomous decision-making while ensuring trustworthiness and controllability.
Utilize Triathon to set dynamic AI training paths.
Employ AI+Fuzz techniques to control AI's functional boundaries and prevent training from going astray.
Realize the vision of "An AI for AI" by creating a self-evolving and self-regulating AI system.
Continuously integrate DeSci principles into the project to ensure transparency, accountability, and community participation in AI development.
Explore ways to leverage DeSci tools and platforms for further collaboration and data sharing within the AI research community.
