2min chapter

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#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind

Lex Fridman Podcast

CHAPTER

Metal Learning in Neural Networks

As long as you have certain properties, maybe like a recurrent structure to. You have to have memory. It actually doesn't have to be a recurrent neural network. This will happen if the system is being trained in a setting where there's a sequence of tasks that all share some abstract structure. The real world is saturated with this property. It's endless variety with endless redundancy. That's the setting in which this metal learning happens.

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