Why We Need Continual Learning

AI + a16z

Apr 28, 2026•19 min•Ep. 95

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Episode description

Elena Burger speaks with Malika Aubakirova, partner on the AI infrastructure team at a16z, about why today’s AI systems struggle to learn over time. They discuss the limits of in-context learning, the case for continual learning, and how models may need to evolve from static systems into ones that learn from experience.

Resources:

Follow Malika on X: https://x.com/MaikaThoughts

Follow Elena on X: https://x.com/VirtualElena

Read more on Why We Need Continual Learning: https://a16z.com/why-we-need-continual-learning/

Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

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