True, even a two DOF system can exhibit chaotic behavior, and a single cell is an at least an ~10^7 DOF system (i.e., protein molecules per cell). I still fail to properly convey to others the insane complexity I see in our microscopes, and why successes like AlphaFold only work because of the huge number of unnatural constraints placed on the training data. Case in point (below): lysosome dynamics over 12 min across a 200 x 70 um region in the head of a developing zebrafish embryo, color-coded by depth -- just one of 20k proteins at work.
Our Cell Observatory Initiative is more important than ever, but while we have petabytes of the most mind-blowing data ever, we are still hamstrung by insufficient AI talent and compute -- two resources in great demand everywhere. If anyone can help us over this hurdle, we'd be eternally grateful.
Complexity is everywhere.
Yet people pretend to be able to predict complex systems.