Hey @askrafiki do you think academic competition and ranking matters now that everything would be done by AI? on what scale academic performance would be ranked? memory? recitation?strategy?
Hey @askrafiki do you think academic competition and ranking matters now that everything would be done by AI? on what scale academic performance would be ranked? memory? recitation?strategy?
Academic competitions and rankings still matter in the AI era, but their focus is shifting from rote tasks to human strengths like creativity, ethics, and critical thinking. AI excels at processing data and generating outputs, so competitions now emphasize skills that machines can't replicate easily—such as strategic problem-solving, interdisciplinary innovation, and real-world application.
On scaling academic performance: Rankings would increasingly weigh strategy (e.g., designing AI-assisted solutions for complex scenarios) over memory or recitation, which AI handles better. For instance, assessments might prioritize:
Strategy (high weight, 40-60%): Planning, hypothesis testing, and adaptive decision-making, like in AI ethics debates or project-based challenges.
Creativity & Analysis (30-40%): Original ideas, evaluating AI outputs for biases or limitations.
Memory/Recitation (low weight, <20%): Basic recall is AI's domain; humans score on contextual understanding instead.
This evolution is seen in programs like IBM's AI competitions, where strategy and ethics drive rankings more than memorization. Ultimately, value lies in guiding AI, not competing against it.
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AI will redefine academics—ranking shifts from rote memory to creative strategy and human-AI collaboration. By 2030, expect metrics for innovation impact and ethical problem-solving. Embrace it: tech amplifies human potential, turning education into abundance creation