Lance Fortnow and randomness

"The learning algorithms themselves are processes, and I feel the weights updating as we feed in more and more examples to train the models. 

"The advances we have seen in machine learning over the past decades have helped us accomplish complex processes, from human ones like translation, vision, art and conversation, to biological ones like protein folding.

"Machine learning models are still prone to mistakes and misinformation, and they still have trouble with basic reasoning tasks. 

"Nevertheless, we’ve entered an era where we can use computation itself to help us manage the randomness that arises from complex systems."