Final week, Lee Se-dol, the South Korean Go champion who misplaced in a historic matchup in opposition to DeepMind’s artificial intelligence algorithm AlphaGo in 2016, declared his retirement from skilled play.

“With the debut of AI in Go video games, I’ve realized that I’m not on the high even when I turn out to be the primary by means of frantic efforts,” Lee advised the Yonhap information company. “Even when I turn out to be the primary, there may be an entity that can’t be defeated.”

Predictably, Se-dol’s feedback shortly made the rounds throughout outstanding tech publications, a few of them utilizing sensational headlines with AI dominance themes.

Because the daybreak of AI, video games have been one of many fundamental benchmarks to judge the effectivity of algorithms. And because of advances in deep learning and reinforcement learning, AI researchers are creating applications that may grasp very difficult video games and beat essentially the most seasoned gamers the world over. Uninformed analysts have been selecting up on these successes to recommend that AI is changing into smarter than people.

However on the identical time, contemporary AI fails miserably at a number of the most elementary that each human can carry out.

This begs the query, does mastering a sport show something? And if not, how are you going to measure the extent of intelligence of an AI system?

Take the next instance. Within the image under, you’re offered with three issues and their resolution. There’s additionally a fourth activity that hasn’t been solved. Are you able to guess the answer?