Building confidence in AI requires looking much further than just the initial prompt. As Hang Yin from @PhalaNetwork points out, making artificial intelligence truly secure involves safeguarding its complete lifespan, which includes the training, deployment, and inference phases. Ultimately, the future of AI relies heavily on our ability to objectively verify this trust.
爲了創造一個更私密的明天,我們必須從根本上變革我們的技術基礎設施。@PhalaNetwork 聯合創始人 Hang Yin 通過回顧自己的職業演進來闡述這一理念。他講述了爲 Google 構建工程數據系統的經歷,如何最終引導他將關注點轉向機密計算與隱私增強技術。正如他的故事所表明的那樣,最具韌性的創造者往往是那些曾親身體驗過行業多面後獲得洞察的人。