A 7-hour marathon interview with Saining Xie: World Models, AMI Labs, Yann LeCun, Fei-Fei Li, and 42

This video features host Xiaojun interviewing Xie Saining, a young Chinese scientist in New York. Saining recently co-founded AMI Labs (Neo Lab) with Turing Award winner Yann LeCun. The team has only 25 people but has completed its first round of massive funding. The interview took place during Chinese New Year, after a heavy snowfall in NYC, but Saining's story brings a warm, human touch. He repeatedly emphasizes that he is not a "chosen one" but an ordinary person, even calling his trajectory a "B Class" one.

Saining's core belief is that everyone is a variable in the world and could be the most important one. He opposes meritocracy, arguing that life paths don't have to follow a single track of "best high school → best college → best PhD → professor at top four." His upbringing was full of serendipity: his father studied psychology and worked in media, his mother was in business, and no one in his family had a STEM background. He got his first computer at 9, played games, and wrote blogs on platforms like Fanfou. He was admitted to SJTU's ACM class but felt average, and his highlight was playing Dota in the dorm during the summer before classes started.

Key evidence comes from his pivotal choices. First, during the ACM class interview, Professor Shen Enshao asked about his favorite book. He answered "What Is Mathematics?" and named the author Richard Courant. Later, he ended up at NYU's Courant Institute of Mathematical Sciences—a coincidence he sees as fate. Second, as a sophomore, he was inspired by Hou Xiaodi (a SJTU legend who published a CVPR paper as an undergraduate and wrote the "SJTU Student Survival Manual"), which solidified his passion for computer vision. Third, for his junior internship, he rejected Microsoft Research Asia (because no vision group wanted undergraduates) and independently contacted Yan Shuicheng's lab at the National University of Singapore, convincing Professor Yu Yong to let him go. He believes vision is central to intelligence, as the eye is the only part of the brain exposed to the world; solving vision means solving intelligence itself.

Counterpoints: Saining's narrative may overemphasize randomness and "non-meritocracy," but he has had mentors and opportunities (e.g., Hou Xiaodi, Feng Jiashi, Yan Shuicheng). He calls himself ordinary, yet being admitted to ACM class and working with Yann LeCun at NYU are elite achievements. His "ordinary" story might downplay his initiative and hard work—like emailing NUS on his own and persistently pursuing computer vision.

In conclusion, Saining's story suggests that success doesn't require a rigid meritocratic path; chance, interest, and initiative matter. He sees everyone as a unique variable, an optimistic worldview that may explain his breakthroughs in AI. At the end, he mentions this is his first podcast—he used to prefer listening, but now he has the courage to be disliked.