when you train a neural network to recognize a new pattern or perform a new task, you risk interfering with the network’s previously learned patterns. How do modern AI systems overcome this problem? Well, they don’t yet. Programmers merely avoid the problem by freezing their AI systems after they are trained. We don’t let AI systems learn things sequentially; they learn things all at once and then stop learning.
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