Continual Learning: Three Approaches That Work
Continual learning without catastrophic forgetting: what fruit flies, LoRAs and differentiable plasticity show about models that learn after training.

Continual learning without catastrophic forgetting: what fruit flies, LoRAs and differentiable plasticity show about models that learn after training.

Why RL breaks down for recursive self-improvement at scale, and the two paths around it after six years building continuously-learning models.

Self-improving AI systems that revise their own harness, weights or data: an evidence audit of what has been shown by 2026, and what still has not.