How AI researchers accidentally discovered that everything they thought about learning was wrong

TL;DR


Summary:
- This article discusses how AI researchers have discovered that their previous understanding of how machine learning works was incorrect.
- They found that the traditional approach of training AI models on large datasets may not be the best way to achieve true intelligence and learning.
- The article suggests that AI systems may need to learn in a more flexible, adaptive way, similar to how humans and animals learn, in order to achieve more advanced capabilities.

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