有用户，不代表这是一个 BusinessHaving users doesn't make it a business
一次关于产品、商业和价值交换的思考：在开发更多 feature 之前，先问清楚用户为什么付费。Some thinking on products, business, and value exchange: before building more features, get clear on why users would pay.
Hi, I'm你好，我是
Justin Chen.
I build things and think deeply.我喜欢做东西，也喜欢琢磨问题。
Applied Data Science at USC, Mathematics from Warwick, CQF. I build AI systems that institutions trust with real money — automated research engines, with the governance that makes them safe to hand over. Founder of Topolo. I also lead the six-person research team I built at ATB. Previously did quant research at Causis.
我在 USC 读应用数据科学硕士，本科在 Warwick 读的数学，也拿了 CQF。现在主要做能自己跑量化研究的 AI 系统，重点是做到足够可控、经得起检查，让机构敢拿真钱去用。我创办了 Topolo，在 ATB 组建了一个六人的研究团队，现在还在带。之前在 Causis 做过量化研究。
Writing文章
不报错，只算错No errors, just wrong numbers
做量化这几年，最坑我的错误几乎都不报错。Over the years I've done quant research, the mistakes that cost me the most almost never threw an error.
Read →阅读 →Questions问题
How can AutoQuant Research produce good strategies?AutoQuant Research 怎么产出好的策略？
When a machine writes and tests strategies by itself, which ones are real, and does it get more accurate as it goes?机器自己写、自己测出来的策略，哪些是真的，能不能越测越准。
Once AI does all the work, what should people learn and do?AI 把事都做完之后，人学什么、做什么？
If AI can do most of what's taught in class, what do people still learn, and what do they do?AI 能做完课上教的大部分东西，人还学什么，去干嘛。
How can AI really be put to work across the economy?怎么让 AI 真正参与到社会生产里？
AI is already smart, but companies still haven't really put it to use. It gets stuck on accountability and control.AI 已经很聪明了，企业却还没真正用起来，卡在担责和可控。
An incentive system for the post-AI era后 AI 时代的激励体系
If AI can do everything, how do people stay motivated to create, and who pays for what they make?AI 什么都能做了，怎么让人还有动力去创造，做出来的东西还有人买单。
Projects项目