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Mice have around 70 Million Neurons, humans around 50-100 billion.

Yes, you can't compare biological neurons to parameters in an LLM 1:1, neurons do much more, but still - It is plausible that higher intelligence just requires scale.

At least not even evolution over millions of years seems to have found a way to produce human-level intelligence in a smaller scale, even though it had a lot of incentives to do so (the human brain needs a lot of kcal).

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A closer biological analogue to an LLM parameter would be a synapse. Estimates vary greatly on how many there are in the human brain, but they are generally on the order of ten to the 14th or 15th power (hundreds of trillions to quadrillions). Using this analogy it is clear that even frontier LLMs, or at least those with publicly disclosed parameter counts, are not yet at the same scale and complexity as the human brain.

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