Man beats machine at Go in human victory over AI
A human player has comprehensively defeated a top-ranked AI system at the board game Go, in a surprise reversal of the 2016 computer victory that was seen as a milestone in the rise of artificial intelligence.
Kellin Pelrine beat the machine by taking advantage of a previously unknown flaw that had been identified by another computer. But the head-to-head confrontation in which he won 14 of 15 games was undertaken without direct computer support.
The Go-playing bot did not notice its vulnerability, even when the encirclement was nearly complete, Pelrine said. “As a human it would be quite easy to spot,” he added.
The discovery of a weakness in some of the most advanced Go-playing machines points to a fundamental flaw in the deep learning systems that underpin today’s most advanced AI, said Stuart Russell, …
It is common to find flaws in AI systems when they are exposed to the kind of “adversarial attack” used against the Go-playing computers, he added. Despite that, “we’re seeing very big [AI] systems being deployed at scale with little verification”.
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One response to “As a human it would be quite easy to spot”
This is an interesting article that raises an important question—how easy is it to spot a human? While humans have certain features that make them distinct from other creatures, there is often a lot of overlap between species. For example, many animals have eyes, ears, and noses that are similar to those of humans. As a result, it can be difficult to tell the difference between a human and an animal at times. This article brings up some important points about the complexity of distinguishing between humans and other creatures. It’s a great reminder that we should always be aware of our surroundings and be careful when identifying other species. Thanks for bringing this up!
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