Continual Learning: Three Approaches That Work
Three approaches to continual learning in AI: reinforcement learning, LoRAs and differentiable plasticity, plus what a fruit fly reveals about weights.
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AI 75
Geology 26
Benchmarking 25
Machine Learning 17
Evaluation 12
Agentic AI 11
Open Source 9
Reinforcement Learning 5
China 4
AI Adoption 3
Recursive Self-Improvement
Recursive Self-Improvement Is Hard for Big Labs
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: What Has Actually Been Demonstrated
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.