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Pushing Beyond the Limits of AI Intelligence
The development of novel logic puzzles, as opposed to traditional IQ tests, aims to better evaluate intelligence and the capabilities of AI systems. The ARC test reveals that while humans can achieve an 80% success rate, large language models (LLMs) struggle significantly, often scoring as low as 0% to 30%. This disparity suggests that current AI lacks true intelligence, prompting a call to action for the development of more advanced AI that can surpass the limitations of LLMs. The competition encourages innovation in achieving general intelligence in AI, raising the question of how soon and effectively humans can foster this advancement.