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LLMs perform about as well as humans do on empirical tests designed to diagnose deficits in theory of mind.

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The concept of intelligence as a "social fractal" suggests that intelligence isn't a single, unified entity but rather a pattern of social organization and cognitive division of labor that repeats across different scales. This is related to the idea of "turtles all the way down," implying a potentially infinite regress of social structures within

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Nature is indifferent to "how" a function is achieved, focusing on the outcome rather than the specific mechanism.

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"LLMs can learn a wider variety of algorithms than computer scientists have discovered or invented." This indicates that LLMs possess the capability to acquire and implement algorithms, even those not yet conceived by humans.

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Artificial life (ALife) is currently in a "pre-paradigmatic" stage, similar to where artificial intelligence (AI) was until recently.

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While human experts may excel in specific domains, "no single human — no matter how intelligent — possesses a comparable breadth of skills" to AI. This highlights AI's advantage in covering a wide range of tasks.

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The human brain, with its "86 billion neurons, all processing in parallel," is presented as a prime example of natural computing. This complex system demonstrates the power and sophistication of computation in nature.