In the tech world, a young prodigy in his early 20s has drawn widespread attention. Leopold Aschenbrenner, a former researcher at OpenAI, was fired in 2024 due to a "leak" incident and then decisively switched careers to establish his own investment fund — Situational Awareness LP (SALP). His decision demonstrated his unique insight into the AI supply chain, bringing substantial returns to him and his fund.

According to the latest disclosure by the U.S. Securities and Exchange Commission (SEC), as of the end of March this year, the asset size of SALP surged from 5.5 billion dollars at the end of last year to 13.67 billion dollars, an increase of nearly 149%. This growth means that within just over a year, Aschenbrenner's fund grew more than 52 times, which is remarkable.

Aschenbrenner's career began in 2021 when he graduated from Columbia University at the age of 19 and joined the FTX Future Fund team. In 2023, he joined OpenAI's Superalignment Team, where he continuously raised concerns about the company's security vulnerabilities and submitted related memorandums to the board. However, he was eventually fired for "leaking internal information."

Shortly after leaving, Aschenbrenner published a 165-page paper titled "Situational Awareness: The Next 10 Years." In this paper, he predicted that general artificial intelligence (AGI) would be achieved by 2027, and pointed out that the biggest bottleneck limiting AI development is not algorithms, but physical infrastructure such as power and computing capacity.

This young investor, with his exceptional insight and forward-looking perspective, has made a significant impact in the field of fund management and has become a focal point in the market. His success not only highlights his personal intelligence but also brings new thoughts to the investment industry.

Key Points:

🌟 Leopold Aschenbrenner, in his early 20s, was once a researcher at OpenAI. He was fired due to a "leak" incident and then founded his own fund.

📈 The asset size of Situational Awareness LP (SALP) increased from 5.5 billion dollars to 13.67 billion dollars, growing more than 52 times.

🔍 Aschenbrenner predicts that general artificial intelligence will be achieved by 2027 and points out that the biggest bottleneck in AI development is physical infrastructure, not algorithms.