AIBullisharXiv – CS AI · 8h ago7/10
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Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis
A new study analyzing 3,840 AI attempts across 50 mathematical problems from Project Euler finds that frontier AI systems scale more efficiently with problem difficulty than previously predicted, with machine effort following a power-law relationship where the exponent is less than 1 for most models tested. This suggests AI systems may actually improve relative to humans as problems become harder, contrary to earlier theoretical predictions.