
A Conversation with RightBrain AI's Liang Jian: A Peking University Graduate Leaping Into the AI Era
April 17, 2024
This episode features Liang Jian, founder & CEO of RightBrain AI. Born in 1998, he proposed the NÜWA model during his 2021 internship at Microsoft, making him one of China's earliest researchers in generative AI. After NÜWA garnered significant attention, Liang solidified his entrepreneurial ambitions and co-founded RightBrain AI with his roommates Zhou Chenghua and Shi Jie, focusing on AI image and video generation.
In conversation, Liang shares his journey as a student founder. Facing a pivotal moment in history, how did he choose his path at the graduation crossroads? As a technical founder, how did he "shatter and reassemble" himself over the past year and a half of entrepreneurship, leading his team to "turn imagination into tangible reality"?
In 2023, ZhenFund launched the "Post-00s Hustlers Program," committing 100 million RMB to support Gen Z entrepreneurs. Of course, we know that at 20, you may not yet have a fully formed business idea. So we've invited mentors just a few years older than you to share their confusions and choices at age 20. The video version of this episode is available on ZhenFund's official WeChat video channel; this is the complete audio version — welcome to listen. If you have more questions, leave a comment and our guest may drop into the discussion.
Guest: Liang Jian, Founder & CEO of RightBrain AI
Episode Highlights
The Starting Point of Entrepreneurship
01:48 The Microsoft intern who proposed a new model: "I just wanted to do innovative things"
04:12 The pre-graduation choice: Leaping into the era during the AI window
Building RightBrain
09:35 The first product, built from 0 to 1 in one week
12:18 From image to video generation, making "customized delivery" the goal
17:51 AI shouldn't force users to learn cumbersome new interactions — it should enhance efficiency within existing workflows
Opportunities for Startups: Doing What Giants Likely Won't
19:53 Early-stage startups don't necessarily need to compete on underlying foundation models; the key is genuine user need insight
21:58 Standing on giants' technical capabilities, doing the "last mile" work
28:05 The technical founder's trap: Don't blindly pursue cool technology; find the real match between tech and user scenarios
30:09 Anxiety is inevitable; only do what you're currently capable of solving
31:33 Even in failure, the growth from entrepreneurship is greater
33:09 Entrepreneurship has no work-life balance; you pour all your energy into it
34:05 Young people must seize this AI window of opportunity
36:03 RightBrain's goal: Let more people naturally use AI to create valuable content
As a Young Founder
39:08 The most important founder traits: Execution ability, tolerance for solitude
40:38 Looking back on a year and a half of entrepreneurship: Constantly breaking apart, then reassembling to set out again
43:38 "I'm just doing something I'm genuinely passionate about"
Further Reading
Related reading:
RightBrain AI's Liang Jian: Three People, One Gradient Descent | Z Circle
Reference materials:
Foundation Model
In artificial intelligence, a general-purpose deep learning model trained on massive data and computational resources. Widely applied across various tasks in natural language processing, computer vision, speech recognition, and other domains.
PMF (Product-Market Fit)
A business concept referring to a company's product successfully meeting market demand. Typically used in the context of startups and new products, emphasizing the degree of alignment between a product or service and the needs of its target customer base.
Staff
Executive Producers: Jiafen, Vivia
Post-production: Keyone Studio
About ZhenFund
"This Is Seriously True" is a general business podcast produced by ZhenFund, where our investment team shares the latest trends and industry insights with leaders across various fields.
Founded in 2011, ZhenFund is one of China's earliest angel investment institutions. Since its inception, ZhenFund has actively sought out the most outstanding entrepreneurial teams and era-defining investment opportunities in artificial intelligence, chips and semiconductors, robotics and hardware, healthcare, enterprise services, new energy, cross-border expansion, consumer lifestyle, and other sectors.
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