Right. The nature trained all the nervous systems with genetic algorithms for millennia. Individuals rather fine tuned their own with natural noise and dropoffs and natural feedback. Fine tuning our brains are rather expensive.

What makes a biological network a genetic algorithm?

The millions of years of darwinian natural selection and sexual reproduction is what makes it a genetic algorithm.

There are a few innate reflexes but you lose them quickly and they are pretty basic. Our brains have way way more neurons/parameters than these models and are still not overfitting... the issue lies in the learning method.

It's not just about reflexes though I would hardly classify reflexes as "lost quickly". That's just not true.

It's deeper than that. Our brains are optimized for a lot general human functions. Learning language is one of them. There's a whole section of the brain dedicated to it and other things.

There's also a lot of vital biological information encoded in DNA/RNA. We are not even close to starting from scratch.

I was talking about this stuff: https://en.wikipedia.org/wiki/Primitive_reflexes

We actually still have them as adults, but are suppressed by our brain. With brain damage or spinal cord injury, a lot of these reflexes return.