1.5-Hour Deep Dive on Continual Learning: From First Principles to Qwen3-8B Experiments
yacinelearning · x · 2026-10-13
yacinelearning released a 90-minute conversation with Ilija (@carnotcyclist) from The Prime Intellect team on continual learning, one of 2026's hottest yet least-defined topics.
The discussion covers:
- Defining continual learning; time in ML vs organic learning
- Three flavours of incremental learning and five desirable properties
- Keeping general capacity fixed; replay, regularization, meta-learning, and hypernetwork methods, with split-MNIST experiments
- Compositional generalization and method-agnostic benchmarks
- LLM generalization from in-context learning to finetuning, plus OPSD vs GRPO experiments on Qwen3-8B
A companion thread lists the related papers and blog posts.
Related event: Prime Intellect Researcher Deep-Dives Continual Learning in Podcast(2 posts)→
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