Bengio & LeCun debate on how to crack human-level AI

Last month, Lex Fridman had an interesting discussion with Yann LeCun and Yoshua Bengio at Meta's Inside the Lab event. The trio discussed the latest advancements in AI and machine learning and possible paths to human-level intelligence. "I believe we are still far from human-level AI," said Bengio. He said one of the ways to think about the gap is to look at problems humans are good at tackling compared to machines. He said we can take inspiration from how the brain switches. We know a lot about conscious processing that we can integrate into machine learning. This includes how knowledge is represented in a modular way, how pieces of knowledge can be reused to solve new tasks on the fly, how species communicate with each other through stochastic hard attention etc, Bengio explained. "All that can be done with neural networks," said Bengio. Out of distribution Bengio said training a system with a dataset poses practical problems. The data is being collected in a particul