孙宇晨亮相哈佛区块链峰会 波场TRON创始人诠释区块链技术路径

Group 1: Event Overview - The HBC25 Blockchain Conference, hosted by Harvard University Blockchain Club, gathered 350 representatives from academia, industry, and investment sectors to discuss decentralized technology trends, policy ethics, and AI integration [1] Group 2: TRON's Achievements - TRON was awarded the "Best Blockchain Innovation Pioneer Award" at HBC25, recognizing its contributions in technology innovation, ecosystem development, and industry influence [3] - TRON's platform has achieved a transaction processing capability of 2,000 transactions per second with a transaction cost of less than $0.001, solidifying its position in the global payment network [3] Group 3: Stablecoin and AI Integration - TRON's USDD stablecoin has reached a total on-chain trading volume of $315.6 billion as of February 2025, with a daily average trading volume exceeding $20 billion, maintaining its leading position among public chains [5] - TRON is advancing the integration of blockchain and AI, with its self-developed AI language model applied in smart contract development, significantly lowering the technical entry barrier for developers [5] Group 4: Compliance and Ecosystem Expansion - TRON has established a systematic compliance layout, forming a financial crime task force that successfully tracked and froze $120 million in high-risk asset flows [5] - The platform has chosen Singapore as a strategic hub for building a compliant digital asset custody system and is extending its solutions to Africa and the Caribbean [6] Group 5: Future Strategic Directions - TRON aims to enhance cross-chain infrastructure by integrating LayerZero and other cross-chain protocols to address interoperability challenges [7] - The platform plans to train 830,000 developers by 2025 and introduce a modular development kit to significantly reduce the DApp development cycle from 30 days to under 72 hours [7] Group 6: User-Centric Approach - TRON focuses on transforming technological innovation and compliance exploration into real productivity, accelerating the integration of AI and real-world assets to support the global digital economy infrastructure [9]