Jack Morris
AI PhD grad student at Cornell Tech, known for his work on the information theoretic understanding of LLMs, embedding models and latent space representations.
Best podcasts with Jack Morris
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745 snips
Jul 2, 2025 • 0sec
Information Theory for Language Models: Jack Morris
In this engaging discussion, Jack Morris, a PhD grad student at Cornell Tech, unpacks the intricate relationship between information theory and large language models. He shares fascinating insights about the efficiency of data representation in AI, particularly in models like GPT-3. The conversation dives into the revolutionary concepts of embedding inversion and the implications for model alignment and security. Jack also explores the potential of emerging programming languages like Mojo, merging performance with innovation in AI research.
178 snips
Sep 26, 2025 • 45min
Jack Morris on Finding the Next Big AI Breakthrough
Jack Morris, an AI researcher and Ph.D. candidate at Cornell, delves into the unpredictable nature of AI breakthroughs. He discusses the intricate balance between open and closed research labs, revealing how proprietary data can set teams apart. Jack also explores the complexities of measuring model performance with benchmarks and the distinction between supervised and reinforcement learning. With thoughts on the future of personalization and the challenges of monetizing curiosity-driven research, he offers a fresh perspective on the evolving AI landscape.
