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4min chapter
Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity
The Gradient: Perspectives on AI
Evolutionary Origin and Modularity
I became very interested in this problem of what's called catastrophic forgetting, which is the idea that humans and non-human animals can usually kind of learn one task and we can switch to a different task. And when we go back to the first task, we pretty much pick up where we left off. This is not at all what happens in machine learning. So if we learn how to play volleyball really well in a neural network, and then it goes and it learns to play chess, it will learn chess by using all of its neurons,. The second it starts learning chess, volleyball is toast, pretty much. I'm just drawn to problems in science that seem like they should be solvable
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