The AI race is moving from compute to data. Much of the world’s most valuable data sits inside institutions, private companies, and governments, where it can’t simply be handed over to centralised AI providers. In a written interview with Korea IT Times, our founder and CEO Jiahao Sun (@0x7sun) explains how federated learning can unlock this data for AI training while keeping raw data local and how blockchain can add accountability and fairness to decentralised training. From healthcare in the UK to sovereign AI in Sarawak and public-sector innovation with UNDP in the Dominican Republic, this decentralized, privacy-preserving approach to model training is already being put to work. Many thanks to Chief Editor at Korea IT Times, Monica Younsoo Chung, for inviting us to contribute to the series. Read the full interview ↓