Computational thinking - beyond data scaling - expanding AI's cognitive horizon

Recent advancements in artificial intelligence (AI) have increasingly focused on refining the cognitive processes of models, moving beyond reliance on large datasets. Historically, AI systems have demonstrated notable improvements in tasks such as natural language generation and problem-solving. However, their dependence on vast amounts of data and rigid linguistic structures has revealed limitations when faced with tasks requiring more intricate reasoning.

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