In a preprint paper published last month on arXiv, the researchers show the approach can stumble on a number of classic machine learning techniques, including neural networks.
But Le also believes boosting the number of mathematical operations in the library and dedicating even more computing resources to the program could let it discover entirely new AI capabilities. "That's a direction we're really passionate about," he says. "To discover something really fundamental that will take a long time for humans to figure out."