The wind of artificial intelligence big models has swept the world, and all kinds of AI good men have risen to establish artificial intelligence companies to recruit AI talents around the world.
Take Musk's xAI company, for example, has gathered a large number of big bulls in the field of artificial intelligence. Among them, there are also four Chinese, who make up one-third of the founding team. To be selected by Musk, the "old mage", there must be something outstanding.
Let's get to know who these four Chinese are?
The first one, Yuhuai (Tony) Wu (Wu Yuhuai)
Graduated from the University of Toronto, artificial intelligence researcher, computer scientist, has worked at OpenAI, DeepMind and Google.
Like most AI companies poaching people, they must have work experience in large factories, and there is a high degree of global consensus on this point.
Wu Yuhuai excels in automated mathematics and formal reasoning, which is one of the reasons Musk was hit.
Wu Yuhuai's early research direction was to build a machine that could reason. He used mathematics as a starting point for studying reasoning, with the goal of creating an automated AI mathematician.
His two recent papers focused on teaching large language models to translate and solve mathematical problems written in natural language, training AI systems to perform mathematical operations.
While at Google, he devised a new method called Draft, Sketch, and Prove (DSP) to transform non-formal mathematical proofs into formal proofs. The experimental results show that the proportion of problems solved by the auto-prover on miniF2F increased from 20.9% to 38.9%.
This AI talent went to Canada to study during high school. During college, he studied at the University of Toronto under Roger Grosse and Geoffrey Hinton, focusing on biological confidence learning, sequential decision learning, optimization, and learning theory.
In 2016, he produced three co-signed papers and was the first author. And the co-creators are all industry giants. It is worth mentioning that in the past few years, he has published more than 20 academic papers.
Second place, Greg Yang
He is the co-founder of xAI.
Born in Hunan, he has studied in the United States since junior high school, studied at Harvard University as an undergraduate, and joined Microsoft Research after graduation.
In 2018, he received the Morgan Prize, an annual award of $1,000 awarded to a U.S., Canadian or Mexican college student who has demonstrated excellence in mathematical research. ）
Young was a legendary talent who took two breaks from school during his time at Harvard. To say that the thinking of wizards cannot be vividly reflected in Yange according to ordinary people.
Young entered Harvard because he had a keen interest in mathematics. However, after Younger finished his sophomore year, he made an extraordinary decision: take a break from school to seek the joy of music!
Fortunately, Harvard University is also relatively casual, students can leave school at any time, and they can also resume school at any time. This gave Young the opportunity to suspend school twice.
Taking his first absence, Young spent a year and a half searching for his musical dreams.
The second suspension lasted two years. During his suspension, he became obsessed with the neural Turing machine and got out of control. He drew on ideas from differentiable topology in his research and proposed "Lie Access Neural Turing Machine", which was published in ICLR.
When he returned to Harvard after his second break, he was lucky to meet the noble man and mentor Chengtong Yau, the winner of the Fields Medal, who helped Yanger a lot and influenced his future career.
For example, during Younger's graduation, Younger chose Google at first, but could not wait for Google's offer. Yau Chengtong proposed to let Yang try Microsoft.
Upon the recommendation of Yau Chengtong, Yang Ge received an email from Shen Xiangyang, then vice president of Microsoft, and Shen Xiangyang sent an invitation to Yang Ge.
Today, Chengtong Yau is not only the dean of Qiuzhen College of Tsinghua University, but also the dean of the Yanxihu Institute of Applied Mathematics in Beijing. It is worth mentioning that he is the first Chinese winner of the Fields Medal.
Tomorrow, the first International Conference on Basic Sciences will kick off at the Great Hall of the People in Beijing. Academician Chengtong Yau, who serves as the chairman of the International Basic Science Conference, is recruiting the world's top experts to participate in the conference. He said: "Condense the best minds of the world in the land of Beijing and sublimate it into first-class scientific progress." I think the conference will have a good stimulating effect on young people and domestic workers, so that they can quickly catch up with the world level. ”
In addition, in May this year, Beijing 101 Middle School officially set up the "Yau Chengtong Junior Class".
Third place, Guodong Zhang
He studied information engineering at Zhejiang University, and during his studies at the university, he ranked first in the examination for 3 consecutive years, and also won the national scholarship for 3 years. During his time in school, he participated in various mathematical modeling competitions and won some domestic and foreign awards.
For example, the first prize of the National College Student Mathematical Modeling Award, and the first prize of the American College Student Mathematical Modeling Competition. It is worth mentioning that during the summer vacation of his junior year, he also intersected with Zhu Songchun, a world-renowned computer vision expert, and had related research experience together.
Today, Zhu Songchun is not only a chair professor at Peking University and Tsinghua University, but also has set up a general artificial intelligence experimental class at Peking University. Zhu Songchun is also the president of the Beijing Institute of General Artificial Intelligence.
After graduating, Zhang Guodong studied for a master's degree and a doctorate at the University of Toronto, and before joining xAI, he worked at the University of Toronto and the Vector Research Institute, and worked at Microsoft Research and Google. He is a researcher in the field of machine learning and artificial intelligence, and has a special influence on the training, adjustment, and alignment of large language models.
In the past few years, he has authored a number of papers in related fields. In 2020, he was awarded the Borealis Artificial Intelligence Fellowship;
In 2022, he was awarded the Apple PhD Scholarship.
Fourth place, Zihang Dai
In high school, he studied at Chongqing Nankai Middle School, and after graduation, he entered the internationally renowned Tsinghua School of Economics and Management, majoring in information management and information systems.
During his time at Tsinghua, he, like most Tsinghua students, looked for internships everywhere. He not only did consulting internships at Accenture and Roland Berger, but also did early Internet enterprise investment at NetEase Capital.
After graduation, he joined Baidu. At that time, Baidu had just established a deep learning research institute, with Li Yanhong as the dean and Yu Kai as the executive vice dean, recruiting top talents from all over the world.
A year later, he left Baidu for a six-year master's and doctoral career at Carnegie Mellon University. After graduating from Carnegie Mellon University with a Ph.D., he worked at Google Research, where he did research internships at Baidu USA and mILA at the University of Montreal.
After graduating with a Ph.D., he worked at Google Research and is a former research scientist at Google. His resume also shows that he worked in deep learning at Baidu and later spent time at MILA, an AI lab led by Yoshua Bengio, a Turing Award winner and one of the Big Three of Deep Learning.
In 2019, Dai Zihang cooperated with Yang Zhilin, an assistant professor at Tsinghua Fork Institute and founder of the dark side of domestic AI startup Moon, on the topic of "CMU's pre-training model working XLNet".
Such a rare talent was recruited by Musk. Netizens across the country are envious and jealous, and they are looking forward to these big bulls returning to China to start a business and contribute to the innovation of artificial intelligence in the mainland.