Free community
Superlinear Academy
See how people use AI, share your work, and bring your questions. 20,000+ members, 700+ project posts, and 8,000+ project comments.
WebsiteAbout Yuzheng Sun
Yuzheng Sun孙煜征 · 课代表立正
I’m Yuzheng Sun, known as 立正 / 课代表立正. I have a PhD in Economics from Cornell and founded Superlinear Academy. I live in Seattle.
MAKE WHAT LASTS. I want to build things people keep choosing, long after the launch.
Based in
Seattle / 西雅图
Education
Cornell PhD in Economics
Public name
课代表立正
Current role
Founder · Author
Background
I worked as an economist at Amazon, a data scientist at Meta, and Vice Director of Data & AI at Tencent IEG. I then joined early-stage Statsig, later acquired by OpenAI, before building Superlinear Academy full time.
Cornell Economics placement recordCornell University
PhD in Economics
Amazon
Economist
Meta
Data Scientist
Tencent IEG
Vice Director, Data & AI
Statsig
Principal Data Scientist and sole evangelist
Superlinear Academy
Founder
Current work
The academy I’m building
Superlinear Academy is where my teaching, community, and enterprise work come together. You can begin with the free community.
Long-term AI learning system
AI Builders
Understand AI systematically, build hands-on, and keep up as it changes. Co-taught with Yage.
WebsiteLong-term membership
Stay Superlinear membership
Keep learning through guest masterclasses, deep technical analysis with Yage, Q&A, and member discussions. Recordings and resources stay available to members.
WebsiteOrganizational practice
Enterprise AI programs
Most teams begin with AI Builders by the seat. Dedicated cohorts, course customization, and fully custom programs add company-specific cases, evaluation, and delivery only when needed.
Enterprise optionsAI Builders · Learner reviews
Read on Maven“This course helps you build the right mindset and teach yourself more effectively.”
OpenAI
Shuyang · Member of Technical Staff
“I love how the course is being structured, it not only use live demo, but also include lots of principles to help build mental models how we can best leverage AI to build!”
Anthropic
EZ · Engineer
Excerpts from individual learners’ public course reviews.
FROM PEERS
Liu Jia
Chair Professor, Tsinghua University · Cognitive neuroscientist
On teaching
“Yuzheng shares more than tools. He teaches a philosophy of thinking—the rarest and most valuable thing in the AI era. Even as a scientist, I found his course deeply illuminating.”
Wei Manfredi
Senior Vice President, AI & Architecture · IHG Hotels & Resorts
On the community
“Yuzheng has built an AI education community that is carefully curated, practical, and unusually useful for people doing real work.”
Vijaye Raji
Founder, Statsig · CTO of Applications, OpenAI
On Growth Data Analytics Playbook
“Yuzheng distills years of product growth wisdom into actionable insight—helping data scientists surface decisive signals, PMs turn numbers into strategy, and founders find a repeatable path to compounding PMF.”
Dai Yusen
Partner, ZhenFund
On AI practice
“Yuzheng is a true AI-native pioneer. With his distinctive way of thinking, he helps more people achieve superlinear growth in the AI era.”
Books and conversations
Books and conversations
I co-authored Growth Data Analytics Playbook and wrote 真本事：从会工作到会赚钱. I host long-form conversations on my channel and join other shows as a guest.
200+
public conversations with technology leaders and AI researchers
400K+
cross-platform audience
3,000+
paying learners across AI, data, and growth
Figures checked July 12, 2026.
Seattle / 西雅图
Sources and contact
Facts last reviewed September 2, 2026. Changing figures retain their check date.
THE QUESTION
AI can make real work easier. It can also amplify fake work a hundredfold.
Fake work substitutes visible activity for hard-to-measure value. A report, model, meeting, or launch can move the result—or merely produce evidence that someone is busy.
So I keep returning to one question: what changed after the work was done? It is the question I use most often when I think about careers, products, organizations, and AI.
01
REAL CAPABILITY
Build capability that remains yours.
Strip away the credential, title, company, and fashionable tool. What can you still see, decide, and make happen?
02
REAL WORK
Make something reality can answer.
Strip away the manager, presentation, and internal scorecard. Does anyone still need it—and can they use, reject, or improve it?
03
THE HORIZON
Make what lasts.
Then ask one question further: after the first release, does the work keep creating value—and keep carrying the maker's judgment?
I admire people whose work and lives became impossible to separate.
I think of the products of Steve Jobs and Zhang Xiaolong, Lionel Messi's football, Christopher Nolan's films, the judgments Geoffrey Hinton and Warren Buffett held through years of disagreement, and Tsunekazu Nishioka's temple craft. Different fields; in each case, the maker is unmistakable in the work.
People shape work, and work shapes people. A defining work takes form version by version as materials, masters, users, markets, and time keep correcting it.