> but there may simply be no "first principles" for what makes an organism tick and almost all of its complexity may be irreducible. There may be absolutely no

> but there may simply be no "first principles" for what makes an organism tick and almost all of its complexity may be irreducible. There may be absolutely no separation between "fundamental property" and "implementation detail". It may be that no terms in the grand equation of life cancel out. But this is NOT true of all biology. I picked molecular biology as an example for exactly this reason. It’s driven by evolution with all its messiness, but yet it DOES have some reducible complexity. There really is DNA that is transcribed via certain molecules to RNA which is transcribed by other molecules into protein via a sequence of certain amino acids coded by the DNA base pairs. There is reducible complexity in spite of the crazy messiness of evolution, and it ends up looking a lot like some of our engineered systems in some instances (ie we can use the language of information theory and bits to describe encoding of genomes). We are able to use this to actually develop vaccines specifically using mRNA as a delivery mechanism, with specific, engineered changes to the transcribed viral protein spike to improve the vaccine’s effectiveness. What I see in neuroscience looks a lot like genomics and inheritance before the discovery of DNA. And the insistence that “biological systems are entirely non reducible complexity” feels just a bit too much like a cop-out. This is not magic. If you are a neuroscientist optimistic about the field, then you must also believe there is some reducible complexity in there that will be discovered. I do get the feeling, based on research progress like in this article, that there really are some breakthroughs coming in really understanding what’s going on.