AI models flub these intelligence tests. Can you fare any better?
2026-08-26 17:00Models🔥 26.9 heat score
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SummaryAI generated
Although artificial intelligence has made rapid progress in logical puzzles and visual reasoning, its performance in specific areas such as spatial reasoning, memory adaptation, and abstract visual reasoning remains inferior to that of humans. Research data from Columbia University shows that AI’s ability to solve “New York Times Connections” puzzles improved almost perfectly from the end of 2024 to early 2025. However, studies by Google and the University of Illinois Urbana-Champaign indicate that models tend to rely too heavily on memory when dealing with puzzles similar to the training data, thereby ignoring subtle differences. SimpleBench tests further confirm the challenges this poses for top models. Additionally, AI falls far short of human architects or mechanical engineers in 3D and 2D spatial reasoning tasks, and it struggles to infer abstract rules from examples in benchmark tests such as ARC-AGI.
Artificial intelligence models perform poorly in intellectual tests. Although AI has made rapid progress in logical puzzles and visual reasoning, it still shows weaknesses in specific areas such as spatial reasoning, memory adaptability, and abstract visual reasoning. Data from a research team at Columbia University shows that by the end of 2024 and early 2025, AI’s ability to solve “New York Times Connections” puzzles had improved from 18% to nearly perfect. Research by Google and the University of Illinois Urbana-Champaign indicates that models tend to ignore subtle differences in puzzles involving knights and villains due to excessive reliance on memory; SimpleBench tests also confirm the challenges posed by such problems to top models. Additionally, AI falls short of human architects or mechanical engineers in 3D and 2D spatial reasoning tasks, and it struggles to infer abstract rules from examples in benchmark tests like ARC-AGI.