Episode

Why We Need Continual Learning

Podcast: AI + a16z
Published: Apr 28, 2026
Duration seconds: 1118
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Canonical source: https://ai-a16z.simplecast.com/episodes/why-we-need-continual-learning-xKmXoC4Y
Audio: https://mgln.ai/e/1344/afp-848985-injected.calisto.simplecastaudio.com/112866f3-1a50-4a8d-b12e-850b73e71b33/episodes/153ddfe2-39ec-4e30-bd0d-e1fb8030dd19/audio/128/default.mp3?aid=rss_feed&awCollectionId=112866f3-1a50-4a8d-b12e-850b73e71b33&awEpisodeId=153ddfe2-39ec-4e30-bd0d-e1fb8030dd19&feed=Hb_IuXOo
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Markdown: /podcast/ai-a16z-6874937/why-we-need-continual-learning.md

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Summary

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.