I think you misunderstand how much leading AI researchers will be learning from complexity science and networks, and how much they'll understand [informational]

I think you misunderstand how much leading AI researchers will be learning from complexity science and networks, and how much they'll understand [informational] diversity itself as critical to all networks (including their own community of practice). My assumption is that there is a dovetail between understanding the role of randomness and diversity in neural networks, and understanding of its role in the social computation of society. Those who don't see that relationship and don't put it into practice in their own value systems will not be "at the top", because they are partially blinded. Just my hot-take. Might be wrong. But I think there's a bias that favours these value systems amongst top tier researchers, unlike traditional hard comp eng studies.