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AI models score below 25% on real-world job tasks, UC Berkeley study finds

A study from UC Berkeley indicates that current AI models perform poorly on real-world job tasks, scoring below 25%. The research suggests that AI is still far from achieving human-level capabilities in practical applications. This finding challenges the notion that AI is on the cusp of widespread, autonomous job replacement. AI

IMPACT Current AI models demonstrate significant limitations in practical job applications, suggesting a longer timeline for widespread automation.

RANK_REASON The cluster contains a study from a university evaluating AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

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AI models score below 25% on real-world job tasks, UC Berkeley study finds

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