Cynthia Rudin

While expanding large language models has led to tremendous advances in AI capabilities, I believe it's not sufficient for achieving artificial general intelligence (AGI). True AGI requires more than scaling up models; it requires genuine understanding, reasoning, and the ability to learn contextually. We need to develop AI systems that can interact with the world in a human-like manner, and this involves solving challenges in areas such as common sense reasoning, perception, and transfer learning.