Balancing training data and human knowledge makes AI act more like a scientist

AI Summary

This article discusses how incorporating rules and tips into AI training, such as the laws of physics, can make artificial intelligence more efficient and reflective of the real world, similar to how guiding a child with basic rules can help them solve puzzles. However, determining the value of different rules for AI can be a challenging task. Balancing training data and human knowledge is crucial in making AI act more like a scientist.

When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training — such as the laws of physics –could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.

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