Jared Kaplan

Jared Kaplan possesses an elite academic background, holding a PhD in physics from Harvard University and serving as a professor of theoretical physics at Johns Hopkins University. His extensive research in high-energy physics, quantum field theory, and complex mathematical modeling provided him with the incredibly high-level analytical tools required to discover and rigorously define the predictable scaling laws that govern the intelligence of modern neural networks.

Jared Kaplan is a co-founder and a driving scientific force behind Anthropic, heavily influencing the company's approach to large language model training and safety alignment. A highly accomplished theoretical physicist, Kaplan's transition into artificial intelligence significantly altered the trajectory of the entire industry. During his time at OpenAI, Kaplan was a lead author on the groundbreaking 'Scaling Laws for Neural Language Models' paper, which provided the empirical, mathematical foundation proving that simply increasing model size, data, and compute predictably improved AI performance. He departed OpenAI in 2021 to co-found Anthropic, where his physics-based approach to machine learning has been critical in safely and efficiently scaling the Claude models while rigorously maintaining 'Constitutional AI' alignment.