Sam Hames

Eye-catching advances in some AI fields are not real | Science | AAAS

This article suggests that a lot of the recent advances in some AI/ML methods are not fundamental properties of new architectures, but more the accumulation of little tricks. When the tricks are applied to 'old' methods, they perform comparably to 'new' methods, meaning that the new methods are actually no better.