If you were to watch just one video this week on AI, this would be the one.

In this interview, Geoffrey Hinton, who is considered the godfather of AI, is talking everything AI, how things were back in the 80s, how things can go south, what the future looks like to him, what rules we need in place and how big tech is responding to this huge AI boom (among other things).

Enough said. Check it out.

About Geoffrey Hinton

Geoffrey Hinton is a renowned computer scientist and artificial intelligence researcher. He was born on December 6, 1947, in London, England, and is currently a professor at the University of Toronto and a researcher at Google Brain.

Hinton is best known for his work in deep learning and neural networks. In the 1980s, he developed the backpropagation algorithm, which is now widely used to train artificial neural networks. He also pioneered the use of Boltzmann machines, a type of probabilistic neural network, and developed the concept of distributed representations, which allows neural networks to learn abstract concepts.

In recent years, Hinton has focused on deep learning, which involves the use of neural networks with many layers to extract increasingly complex features from data. He has made significant contributions to this field, including the development of the deep belief network and the capsule network.

Hinton has received numerous awards and honors for his work, including the Turing Award in 2018, often referred to as the “Nobel Prize of Computing.” He is widely regarded as one of the most influential figures in the field of artificial intelligence and continues to be an active researcher and advocate for the development of intelligent machines.