Continual Learning

Approaches to training AI systems that learn continuously over time without catastrophic forgetting, including multi-timescale optimization, memory replay, and progressive learning strategies.

Reading List

Under the Hood

Nested Learning: Unifying Architecture and Optimization for Continual AI

Dec 7, 2025152

Unify architecture and optimization as nested, multi-timescale learners to curb forgetting and enable continual learning, validated by the Hope model’s strong results.

AI Architecture Continual Learning LLM Context Management Self-Modifying AI

Under the Hood

Sparse Memory Layers: Targeted Continual Learning Without Forgetting

Nov 3, 2025102

Use sparse memory layers and TF-IDF–guided slot updates to learn continually without forgetting.

Continual Learning AI Architecture Model Fine-Tuning Catastrophic Forgetting