Jared Kaplan

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 Theoretical physicist and artificial intelligence researcher 
 

 [[Machine learning]]"},"workplaces":{"wt":"[[Johns Hopkins University]]<br />[[OpenAI]]<br />Anthropic"},"education":{"wt":"[[Stanford University]] ([[B. S.|BS]])<br />[[Harvard University]] ([[PhD]])"},"known_for":{"wt":"Neural language-model scaling laws; Responsible Scaling Policy at [[Anthropic]]"},"awards":{"wt":"[[Hertz Fellowship]] (2005)<br />[[Sloan Research Fellowship]]<br />[[NSF CAREER Award]]"},"thesis_title":{"wt":"Aspects of holography"},"thesis_year":{"wt":"2009"},"thesis_url":{"wt":"https://www.proquest.com/docview/304893859"},"doctoral_advisor":{"wt":"[[Nima Arkani-Hamed]]"}},"i":0}}]}'> Jared Kaplan Kaplan in 2025 Born Jared Daniel Kaplan Education Stanford University ( BS )
 Harvard University ( PhD ) Known   for Neural language-model scaling laws; Responsible Scaling Policy at Anthropic Awards Hertz Fellowship (2005)
 Sloan Research Fellowship 
 NSF CAREER Award Scientific career Fields Theoretical physics 
 Machine learning Workplaces Johns Hopkins University 
 OpenAI 
Anthropic Thesis Aspects of holography   (2009) Doctoral advisor Nima Arkani-Hamed 
 

 Jared Daniel Kaplan is a theoretical physicist and artificial intelligence researcher. He is an associate professor in the Johns Hopkins University Department of Physics & Astronomy, [ 1 ] and a co-founder and chief science officer of Anthropic . [ 2 ] [ 3 ] 

 Education

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 Kaplan attended the Illinois Mathematics and Science Academy during high school. [ 4 ] He received a bachelor's degree in physics and mathematics from Stanford University and a PhD in physics from Harvard University . [ 5 ] His doctoral thesis is titled Aspects of holography , advised by Nima Arkani-Hamed . [ 6 ] [ 7 ] 

 Academic career and physics research

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 Kaplan’s research interests include quantum gravity , holography ( AdS/CFT ), conformal field theory , and related topics in particle physics and cosmology . [ 1 ] [ 5 ] He worked as a postdoctoral fellow at SLAC and Stanford University and has been a professor at Johns Hopkins University since 2012. [ 5 ] 

 Machine learning research

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 Kaplan joined OpenAI in 2019 as a researcher, [ 8 ] [ 9 ] where he co-authored Scaling Laws for Neural Language Models (2020), which reported that empirically, the performance of language models steadily improves with their size and the amount of data and compute used for training. [ 10 ] [ 11 ] He is also a co-author of Language Models are Few-Shot Learners (20

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