Liang Wenfeng

Entrepreneur

Chinese Zhanjiang, Guangdong, China

Quick Info

ProfessionEntrepreneur
NationalityChinese
BirthplaceZhanjiang, Guangdong, China
Date of Birth29/03/1985
Age41 years

Latest News about Liang Wenfeng

20/01/2025

DeepSeek released the DeepSeek-R1 model, a 671-billion-parameter open-source reasoning AI model that matches OpenAI's o1 performance while using significantly fewer computational resources. On the same day, Liang Wenfeng attended a symposium on Premier Li Qiang's government work report at Zhongnanhai as the only representative from an LLM company. By February 2025, DeepSeek had surpassed ChatGPT to become the No. 1 free app on Apple's U.S. app store.

01/2025

Liang Wenfeng was named to Time magazine's 2025 list of 100 Most Influential People for DeepSeek's efficient generative AI platform that rivaled ChatGPT while using only a fraction of Nvidia chips. The platform's success contributed to a significant rally in Chinese AI stocks, questioned U.S. tech dominance, and led to Nvidia losing $600 billion in market value. Liang was also invited to meet Chinese President Xi Jinping alongside other tech titans.

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Bio/Wiki

Profession(s)
  • Entrepreneur
  • Businessman
Known ForBeing the Founder and CEO of DeepSeek

Physical Stats & More

Eye ColorBlack
Hair ColorBlack

Educational Qualification(s)

College/UniversityZhejiang University (ZJU), Hangzhou
Degrees
  • Bachelor of Engineering in Electronic Information Engineering from ZJU (2007)
  • Master of Engineering in Information and Communication Engineering from ZJU (2010)

Personal Life

EthnicityHan

Relationships & More

Marital StatusMarried

Family

FatherPrimary school teacher
ChildrenSon - Liang Zhizhong

Career

OverviewLiang Wenfeng is a prominent Chinese entrepreneur in technology and finance. He co-founded High-Flyer, a quantitative hedge fund that became one of China's Big Four quantitative private funds, and founded DeepSeek in July 2023 to focus on AI large model research and development. Under his leadership, High-Flyer pioneered AI-driven investment strategies starting in 2016 and transitioned entirely to AI by 2017.
Notable Achievements
  • Founded Hangzhou Yakebi Investment Management Co. Ltd. after partnering with a fellow Zhejiang University graduate.
  • Co-founded Hangzhou Huanfang Technology Co. Ltd., which evolved into Zhejiang Jiuzhang Asset Management Co. Ltd.
  • Established High-Flyer, a hedge fund known for utilizing mathematical models and AI in investment strategies.
  • Launched DeepSeek to develop artificial general intelligence, achieving significant milestones in the AI landscape.
  • Named to Time magazine's 100 Most Influential People in AI in 2025.
  • Named to Fortune's list of the Most Powerful People in Business in 2025.
  • Founded Hangzhou Yakebi Investment Management Co. Ltd. in 2013 with Xu Jin, integrating artificial intelligence with quantitative trading.
  • Co-founded Hangzhou Huanfang Technology Co. Ltd. in 2015, which evolved into Zhejiang Jiuzhang Asset Management Co. Ltd.
  • Co-founded High-Flyer in 2015, which grew to manage assets exceeding 100 billion RMB and became one of China's Big Four quantitative private funds.
  • Founded DeepSeek in July 2023 to develop artificial intelligence large models.
  • Developed innovative AI architectures including Multi-head Latent Attention (MLA) and DeepSeekMoESparse, significantly reducing computational demands and costs.
  • Released DeepSeek-R1 on 20 January 2025, a 671-billion-parameter open-source reasoning AI model that matches OpenAI's o1 performance while using a fraction of the computational resources.
Key Events
  • Spoke at the 2019 Golden Bull Awards, sharing insights on quantitative investing.
  • Authored a preface for the Chinese edition of Gregory Zuckerman's book highlighting his challenges and inspirations.
  • Acquired significant GPU resources to bolster AI capabilities at DeepSeek, leading to impactful innovations in AI model development.
  • Attended a symposium with Chinese President Xi Jinping alongside other tech leaders.
  • Attended a symposium on Premier Li Qiangโ€™s government work report on 20/01/2025, the same day DeepSeek released its R1 model.
  • Began work in quantitative hedging in 2008 while collecting financial market data and pioneering quantitative trading with machine learning.
  • Introduced AI-driven strategies at High-Flyer in 2016.
  • Transitioned High-Flyer's entire investment strategy to AI by 2017.
  • Began acquiring thousands of GPUs from Nvidia in 2021 to build AI model training infrastructure.
  • Founded DeepSeek in July 2023 as an offshoot of High-Flyer.
  • Released DeepSeek V3 model in late 2024, estimated to be built and trained using 2,000 Nvidia H800 chips at a cost under $6 million.
  • Released DeepSeek-R1 on 20 January 2025, the same day he attended a symposium on Premier Li Qiang's government work report at Zhongnanhai as the only representative from an LLM company.
  • DeepSeek surpassed ChatGPT to become the No. 1 free app on Apple's U.S. app store by February 2025.

Some Lesser Known Facts

1. Liang grew up prioritizing academics over entrepreneurship during his formative years.
2. His master's thesis focused on improving tracking accuracy through innovative algorithm development.
3. Liang's initial reception by partners was lukewarm, but his vision eventually changed their perspective.
4. He recently stated that talent organization is a greater challenge for innovation than funding.
5. Grew up in a tiny village in Guangdong province.
6. Began working in quantitative hedging in 2008 while collecting financial market data and pioneering quantitative trading with machine learning.
7. His father was a primary school teacher.
8. His master's thesis focused on target-tracking algorithms using low-cost PTZ cameras.
9. Known for his low-profile demeanor and technological idealism, rarely grants media interviews, and has few publicly available photos.
10. Described by a business partner as a very nerdy guy with a terrible hairstyle.
Information on this page is collected from public sources and may not be 100% accurate. Report an error
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