Why it’s harder for AI to open doors than play chess | Pulkit Agrawal | TEDxMIT

Today’s AI systems can beat the best human chess or Go players. However, they fail to perform tasks involving physical intelligence that humans don’t even think about such as walking, climbing stairs or opening doors. Things that are easy for humans, are often very hard for machines and vice-versa, an observation often known as the Moravec’s paradox. Human intuition of what is easy and what is hard gets in the way of building truly intelligent AI systems and has been a major lesson of AI research in the past seventy years. Using all the data on the internet, we have made impressive progress in reasoning and language understanding. However, there is no such data repository for learning physical intelligence and evolution spent 50,000x more time perfecting physical intelligence as opposed to language understanding. In this talk, learn why is physical intelligence so hard and how do we get there? AI, Brain, Decision making, Evolution, Intelligence, Machine Learning, Robots, Technology Dr. Pul