Last week, we discussed AI's incredible evolution in terms of its performance against humans. Almost across the board, AI has surpassed humans in a range of performance-based tasks, necessitating the development of new, more challenging benchmarks. Arguably, that degree of development could be classed as a 'good.' This follow-up article discusses the not-so-good that has resulted from AI's rapid evolution.Continue ReadingCategory: TechnologyTags: Artificial Intelligence, LLM (Large Language Model), Machine Learning, Stanford University
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The bad and the ugly: AI is harmful, unreliable and running out of data
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