Background

Triathon

Triathon is a gamified, decentralized, community-driven testing and auditing framework for blockchains and decentralized applications. It is part of the Trias ecosystem and acts as a launchpad and incubator for new blockchain projects. 

  • Game Battles: The reward gained from the game battle between two blockchains will be paid by GEONs.
  • NFT Building: Forge, build and upgrade NFTs. Higher-level NFTs have more health points and are more combat effective. Thus, their owners can obtain more GEON tokens in the Staking.
  • ITO Launching: With the comprehensive test by global users, if the project passes the verification of the platform, then it can start the initial offering activities. The GEON holders can get a quota of the new project and swap GEONs for new project tokens.

Integrationstwitter

Triathon Partners with Footprint Data for Decentralized AI Training

Mon 21st Apr 2025
Triathon announces a strategic partnership with Footprint Data to enhance decentralized AI training capabilities. This follows their October 2024 collaboration with Network3.ai, which brought AI Layer2 solutions for developers. - Partnership focuses on advancing decentralized AI training infrastructure - Builds on existing AI development ecosystem - Complements previous Network3 features including: * Anonymous authentication * Data verification * Secure communication The collaboration aims to strengthen decentralized AI development while maintaining security and efficiency.

Triathon Partners with THE AI CLUB DAO for AI Research

Thu 27th Feb 2025
Triathon has announced a strategic partnership with THE AI CLUB, an onchain DAO from the THENAs community. The collaboration aims to: - Build a transparent AI research and training ecosystem - Implement decentralized governance mechanisms - Create community-driven incentive structures This partnership follows Triathon's recent integration with 4EVERLAND's decentralized storage and AI RPC solutions, further strengthening their position in the Web3 AI marketplace. The platform continues to expand its AI capabilities, recently launching their 2nd Crown AI model for public access. [Learn more about the partnership](https://triathon.space)
Community article

Triathon Partners with WORLD3_AI to Explore AI Autonomous Worlds

Tue 11th Mar 2025
Triathon announces a strategic partnership with WORLD3_AI, marking a significant step in combining AI and blockchain technology. The collaboration focuses on developing AI Autonomous Worlds (AI-AW), a pioneering concept that aims to create seamless interactions between humans and AI systems. Key aspects of the partnership: - Joint exploration of cutting-edge AI technologies - Development of blockchain-based autonomous systems - Future collaborative activities and developments planned This partnership builds on previous announcements from December 2024, showing continued momentum in the AI-blockchain integration space.

Triathon Partners with 4Metas to Enhance Web3 Gaming Experience

Mon 20th Jan 2025
Triathon announces strategic partnership with 4Metas, a Web3 gaming platform integrating AI and DePIN technology. Key aspects of the collaboration: - Enhanced AI training capabilities through shared technology - User access to personalized AI agents - Multi-chain operation support - Land NFT functionality for virtual asset ownership The partnership aims to create a more robust gaming ecosystem while expanding user capabilities in the Web3 space. Integration details and specific features will be announced in future updates.

Triathon Lab Powers AI Agents in NetX Mainnet

Mon 25th Nov 2024
Triathon Lab has integrated its AI technology into NetX's agent system, marking a significant development in the TRIAS ecosystem. - The partnership enables advanced AI capabilities on the NetX mainnet - Users can now create and deploy their own AI agents - Platform focuses on continuous learning and boundary-pushing innovation The integration represents a step forward in making blockchain interactions more intelligent and user-friendly. Community members are invited to participate in AI model training initiatives.
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