Benchmarks for Mortals
AI Inside
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Challenging AI: The Wine Glass Dilemma
This chapter explores the difficulties AI image generators face, particularly with the 'wine glass problem' and the impact of training data scarcity. It delves into the nature of reasoning in AI, comparing it with human cognitive processes, and discusses advancements in AI models like Google's Gemini 2.5 Pro. The conversation also addresses the need for relatable benchmarks that truly reflect user experiences with artificial intelligence.
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