The discussion touches on the limitations of current architectures like transformers and the need for new approaches to reduce data and computation requirements while replicating human-like learning.
The podcast episodes discuss various AI architectures, including the limitations of the transformer architecture and the emergence of new approaches like state space models and hybrid architectures.
For example, episode "Understanding AI 'Understanding' with Robert Wright of Nonzero Newsletter & Podcast" explores the potential implications of new AI architectures for capabilities and interpretability.
Episode #416 - Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI advocates for alternative architectures like Joint Embedding Predictive Architectures (JEPAs) as more promising approaches for learning world models and representations.
The podcast episodes also cover the role of data and computational requirements in driving the development of new AI architectures to address the limitations of current models.