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Retrieved on: 2025-05-20 13:04:03
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Summary
The article discusses a study from Carnegie Mellon highlighting AI agents' current limitations in performing real-world tasks efficiently, contrasting the substantial investments in AI with their inability to replace human workers. It connects with the key concept of 'investing' as companies heavily fund AI, despite their current limitations in task completion, particularly connecting to tags like 'Artificial intelligence,' 'Large language models,' and 'Agentic AI.'
Article found on: www.pymnts.com
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