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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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