Jakub Pachocki has been appointed as the new Chief Scientist of OpenAI, succeeding Ilya Sutskever, who recently announced his departure from the company.
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OpenAI CEO Sam Altman expressed confidence in Pachocki’s leadership, stating that he will guide the organization towards rapid and safe progress in achieving its mission.
Background
Prior to his appointment as Chief Scientist, Jakub Pachocki held the position of Director of Research at OpenAI.
He has been involved in various significant projects, including GPT-4 and OpenAI Five, focusing on areas such as large-scale reinforcement learning and deep learning optimization.
Academic Achievements
Pachocki’s academic journey began with a bachelor’s degree in computer science from the University of Warsaw.
He later pursued a PhD in Computer Science at Carnegie Mellon University, where he worked under the guidance of Gary L. Miller.
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Additionally, he has been involved in research at the Simons Institute for the Theory of Computing at the University of California, Berkeley.
Current Focus
Currently, Pachocki holds a postdoctoral position in Jelani Nelson’s group at Harvard University, focusing on efficient algorithm design, particularly for machine learning applications
His expertise in algorithm design and machine learning makes him well-suited for his new role as Chief Scientist at OpenAI.
Contributions to OpenAI
Pachocki has played a crucial role in shaping OpenAI’s research agenda, particularly in expanding deep learning systems. His previous work on the company’s Dota team contributed to the development of AI capable of competing against human players in Dota 2.
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