The pace of AI progress is nothing short of staggering. Benchmarks once considered unassailable—like ARC-AGI and FrontierMath—are now falling. ARC-AGI has been beaten, and FrontierMath has reached a modest 32% accuracy, signaling that AI models are finally starting to tackle research-level math problems. Yet, while these improvements are impressive on paper, they spark a heated debate: Do these metrics truly reflect the advancement of artificial intelligence, or are we witnessing a dangerous oversimplification of what it means to be “intelligent”?
Breaking Down the Benchmarks
For years, benchmarks have served as the yardsticks by which we measure AI progress. ARC-AGI, once a seemingly insurmountable benchmark, has now been overcome, and FrontierMath is showing modest improvem
What is Humanity’s Last Exam
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Rapid AI benchmark breakthroughs reveal dazzling progress—but are they masking critical limits in real-world intelligence?
