Skepticism in AI
Subbarao emphasizes the importance of skepticism in the age of large language models, likening researchers to zoologists studying complex organisms. He critiques the tendency to focus solely on positive results in studies, urging a thorough examination of failures to ensure rigorous observational practices. The conversation highlights the need for a deeper understanding of emergent abilities and the unpredictability of AI systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Related Questions