Amazon explained

Researchers from Amazon Science have figured out why machine learning research agents do not overfit. They use a search cycle that iteratively refines hypotheses using external knowledge, rather than simply memorizing training data.

This approach allows agents to avoid overfitting and improve the quality of their predictions. The study was published on the Amazon Science website.

A discussion of the study is also available on news.ycombinator.com.

This study may help improve the quality of machine learning agents and make them more effective in various tasks.