AI models flub these intelligence tests. Can you fare any better?
This article explores how puzzles and games are used to test the cognitive capabilities of AI models. It highlights that while AI has improved rapidly in solving logic puzzles, it still struggles with spatial reasoning and subtle riddles compared to humans.
Why it matters
Understanding the specific failure points of AI models helps researchers identify gaps in machine cognition and improve the reliability of future systems.
Puzzles and games can reveal gaps in models’ smarts. Try your hand at these seven tests to see if you can outwit AI.
Puzzles and games have been central to AI development since the very beginning. Just as we humans like to test our smarts with crosswords or logic puzzles, developers can test how far models have advanced with a gaming gauntlet. The term “machine learning” was popularized in a 1959 article by the IBM computer scientist Arthur Samuel about an algorithm that learned to play checkers. Chess and the Chinese board game Go are famous AI test beds too.
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