Korea IT Times와의 인터뷰 기회를 주셔서 감사합니다. 저희가 오랫동안 집중해 온 '로컬에서 구동되는 소형 오픈소스 모델'이라는 방향이 최근 시장 전반에서 큰 주목을 받고 있습니다. 4년 전부터 긴 호흡으로 걸어온 길이 틀리지 않았다는 걸 다시 한번 확인하게 됩니다. 이 분야를 선도하는 프로젝트로서, 앞으로도 탈중앙화 AI의 발전을 계속 이끌어가겠습니다.
Thanks to Korea IT Times for the interview. Small open-source models that run locally are now getting the market's attention — what we've been building for four years. The long game keeps paying off. As a leading project in the space, we'll keep pushing decentralised AI forward.
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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 ↓
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