Continuous Learning Challenges
The conversation explores how humans are increasingly enhancing their productivity through language models, generating valuable data that feeds back into these systems. However, there's a significant gap in continuous learning; unlike humans, language models don't adapt in real-time from user interactions or new information online. This disconnect highlights the need for a more organic and ongoing learning process that mirrors human development and discovery.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Jeff Clune - Agent AI Needs Darwin
Related Questions