These models have 100s of thousands of “neurons” whereas human brains have 10s of billions. The difference in scale of “synapses” is even greater.

To make it equivalent you would need at least 100,000 of these models.

You could easily replicate the apparent redundancy and resiliency of the human brain with a consensus system.

Literally addressed by the last sentence. There's no reason for redundancy in LLMs, so any local impact will be larger than in brains.

If you think about this in percentages then one neuron in qwen does way heavier lifting than a neuron in our brain.