Analysis
This fascinating experiment showcases the rapid advancement of cognitive abilities in Large Language Models (LLM), with Claude Code demonstrating exceptional pattern recognition and logical deduction skills. The AI's ability to structurally decompose complex visual and logical problems—achieving a near-perfect score of 148 IQ—highlights the immense potential of Generative AI in sophisticated reasoning tasks. It's a compelling glimpse into how AI can complement and even surpass human intuition in specific cognitive domains.
Key Takeaways
- •Claude Code achieved an IQ score of 148 (28/30 correct), significantly outperforming the human test developer who scored 97.
- •In the Logical Reasoning category, the AI achieved a perfect 100% score, demonstrating superior structural decomposition of problems.
- •The model solved the final 'impossible' domino puzzle, which has only a 12% human success rate, by identifying nested arithmetic sequences in just 30 seconds.
Reference / Citation
View Original"Claude Code scored an IQ of 148, theoretically almost perfect, and solved the most difficult problem, which has a human correct answer rate of 12%, in 30 seconds."
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