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As we approach a new era of artificial intelligence, the holy grail of AI research - Artificial General Intelligence (AGI) - looms tantalizingly close. Yet, as we inch nearer to this monumental achievement, we find ourselves grappling with a paradoxical challenge: How do we measure something we can't fully define? This conundrum lies at the heart of our quest to create machines that can match, or even surpass, human-level cognition across a broad spectrum of tasks.
To illustrate the complexity of this challenge, let's consider two thought experiments that, while seemingly far-fetched, mirror…
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