[jeyoor]

The author seems to say that the no free lunch theorem (NFL) indicates that creating a "Universal Learner" (or artificial general intelligence) is an impossible task.

I disagree based on the following:

1. I think NFL's definition of a universal learner is broader than the definition used by the average AGI researcher.

In practice, we are interested algorithms producing behavior at near-human levels of intelligence, not absolutely universal learning algorithms.

2. NFL does not seem to directly address the overall effectiveness of applying a combination of algorithms based on real-world experience to everyday problems.