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AI can handle tasks twice as complex every few months. What does this exponential growth mean for how we use it?

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Summary
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89% Informative

A new benchmark could enable us to better understand the actual intelligence and capabilities of AI systems.

The researchers found that AIs completed tasks that would take humans less than four minutes with a near-100% success rate.

Older AI models performed worse at longer tasks than the latest systems.

By extrapolating this trend, the researchers projected that AI can automate a month 's worth of human software development by 2032 .

By 2026 , we'll see AI becoming increasingly general, handling varied tasks across an entire day or week rather than short, narrowly defined assignments.

Watson predicts that the emergence of generalist AI agents that can handle a variety of tasks will be imminent.

This could let people focus on more creative, strategic and interpersonal tasks.

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