# Why We Need Continual Learning

Page: https://stenobird.com/podcast/ai-a16z-6874937/why-we-need-continual-learning
Text version: https://stenobird.com/podcast/ai-a16z-6874937/why-we-need-continual-learning.md
Podcast: [AI + a16z](https://stenobird.com/podcast/ai-a16z-6874937)
Published: 2026-04-28T10:00:00+00:00
Episode link: https://ai-a16z.simplecast.com/episodes/why-we-need-continual-learning-xKmXoC4Y
Audio file: 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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JSON: https://stenobird.com/v1/public/podcasts/ai-a16z-6874937/episodes/why-we-need-continual-learning
Duration seconds: 1118

## Resource

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.

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## Transcript

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