Subbarao Kambhampati

Subbarao Kambhampati, Professor of computer science at Arizona State University, discusses planning, reasoning, and interpretability in the age of LLMs. Topics include explanation in AI, thinking and language, scalability in planning, computational complexity in LLMs, and concerns about misinformation generated by LLMs.

In this engaging discussion, Subbarao Kambhampati, a Professor at Arizona State University specializing in AI, tackles the limitations of large language models. He argues that these models primarily memorize rather than reason, raising questions about their reliability. Kambhampati explores the need for hybrid approaches that combine LLMs with external verification systems to ensure accuracy. He also delves into the distinctions between human reasoning and LLM capabilities, emphasizing the importance of critical skepticism in AI research.

In this engaging discussion, Professor Subbarao Kambhampati, an expert in AI reasoning systems, dives into OpenAI's O1 model. He explains how it employs reinforcement learning akin to AlphaGo and introduces the concept of 'fractal intelligence,' where models exhibit unpredictable performance. The conversation contrasts single-model approaches with hybrid systems like Google’s, and addresses the balance between AI as an intelligence amplifier versus an autonomous decision-maker, shedding light on the computational costs associated with advanced reasoning systems.