...are still completely guesswork
Well, not completely guesswork. Even though we only have a sample-size of 1, we actually do know some relevant details about that sample. For example, if life first appeared very soon after the Earth's crust cooled, that would tell us something very different about the chances that life will develop than if life appeared at some other point in the Earth's history. And if technology evolved gradually, that would tell us something very different than if technology waited for eons, and then suddenly exploded.
I am baffled that you aren't aware than NNs were explicitly designed as a form of bio-mimcry
I second that. Neural networks were absolutely designed to mimic functions that were observed in biological brains. Saying they were not is like saying airplanes were not inspired by birds because their wings don't flap and they don't grow feathers or digest worms. Sure, there are a great many things the brain does that neural networks don't, and we don't even fully understand the brain yet, but it still remains the target of many of our efforts. The biggest and highest-impact conferences in neural networks also invite neuroscientists so they can cross-mingle their expertise, and numerous advances in neural networks have been made based upon analogies with the brain. Dropout and convolutional layers are the first two examples that pop into my mind.
Many people think that only spiking neural nets are actually patterned after behavior observed in the brain, but did you know that the non-spiking variant that Hopfield originally presented were reported to approximate the rate at which spikes fire? When the activations of classical neural nets are interpret as firing rates, they really do become strong analogs for the behavior of the brain. Now perhaps you are not satisfied with the extent to which we have been able to reproduce brain-like activity. That's great! Neither are we! But the brain still remains the original objective and a significant source of inspiration for many efforts in advancing research in neural networks.
This means that the software's source code will be made freely available
Sure, but you didn't define "software", or "source code", so how are we supposed to know what the heck they are even talking about?
The results are finally in
So, the results are not yet in.
"Don't try to outweird me, three-eyes. I get stranger things than you free with my breakfast cereal." - Zaphod Beeblebrox in "Hithiker's Guide to the Galaxy"