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 prime 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’s an entity that can’t be defeated.”

Predictably, Se-dol’s feedback rapidly made the rounds throughout distinguished 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 major benchmarks to guage the effectivity of algorithms. And due to advances in deep learning and reinforcement learning, AI researchers are creating applications that may grasp very sophisticated video games and beat essentially the most seasoned gamers the world over. Uninformed analysts have been choosing up on these successes to counsel that AI is turning into smarter than people.

However on the similar time, contemporary AI fails miserably at a few of the most simple that each human can carry out.

This begs the query, does mastering a recreation show something? And if not, how will you measure the extent of intelligence of an AI system?

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