Summary:
- This article discusses a new machine learning (ML) paradigm called "Nested Learning" that aims to help AI systems continuously learn and adapt over time.
- Nested Learning involves training an AI model on a series of related tasks, with each new task building upon the knowledge gained from previous tasks.
- This approach allows the AI to learn more efficiently and effectively, as it can leverage its existing knowledge to tackle new challenges, similar to how humans learn and build upon their prior experiences.