Before DeepSeek, Liang was the genius behind Huanfang Quantitative, an AI-powered hedge fund that crushed Wall Street. His algorithms predicted market trends with scary accuracy. But Liang wasn’t satisfied. He saw a bigger problem to solve: AI for everyone, not just the elite. In 2015, at just 30, Liang launched High-Flyer, a hedge fund that now manages $8B in AUM. He made a fortune, but his dream was bigger—building “human-level AI.” He pitched this side hustle to his partners, but they were skeptical. Liang pressed on. In 2021, he made a bold move: buying 10,000 Nvidia H800 chips. He brought his top hedge fund employees on board—experts at squeezing maximum power from GPUs. Then in 2023, DeepSeek was born. A tiny team, relentless execution, and no shortcuts. To win the AI race, Liang hired dozens of PhDs from China’s top universities: Peking, Tsinghua, Beihang. He paid salaries rivaling Bytedance, refusing to settle for anything less than the best. “DeepSeek will be the leading local AI company,” he said. US export restrictions threatened to slow them down. Instead, the DeepSeek team got creative—developing new methods to train AI models like their V3 and r1 LLMs. The result? Models competitive with OpenAI and Anthropic at ~1/20th the cost. Liang isn’t afraid to share. DeepSeek published their groundbreaking methods in a paper co-authored by 200+ researchers. The company’s transparency fuels innovation, but critics question how they’ve achieved such rapid efficiency. Today, DeepSeek is at the top of the App Store, used by hedge funds, startups, and everyday people alike. And Liang? He turned down a $10B acquisition offer. “DeepSeek isn’t for sale. It’s a mission,” he said. When he’s not revolutionizing AI, Liang explores deep-sea caves. “Sometimes, the answers are deep below the surface,” he says. As per 2022 data: 38% of the top-tier AI talent in the U.S. are Chinese vs 37% American. His story proves that vision + relentless hustle = unstoppable. What’s your mission? submitted by /u/XGramatik |