I'm sure it's more complex than I grasp as a layperson, but I'm utterly amazed at how simple this _appears_. I get the feeling that this is something I have a better chance of understanding than the average SaaS Terms and Conditions. I expected to have to scroll through pages upon pages of indecipherable text. Instead it's no bigger than a large paragraph of text, and I can easily fit it on my screen.
People tend to think of genetic code as a sort of assembly language which is very verbose, but I wonder if the correct way to view it is in fact a very terse domain-specific language, because it actually depends on the entire complex machinery of the cell to be present in order to work, which in itself contains a lot of information?
Honestly, na. It's pretty verbose. There's a lot of weird ass things in there like "Skip basepairs until you find the matching terminating sequence" (I think it's AG .* GA but its been a decade since my bioinformatics course), but you still have to include the non-AA-coding basepairs in the middle of that.
Compensating for that is the fact that there are like, multiple independent programs; if a ribosome is offset by a single base pair, the result is entirely different. If it runs the other strand, the result is different. And instead of crashing like any program would, biology just learns to use all of those possible encodings. In part, this works because there are 64 possible codons but only 20 amino acids, and the redundancy allows a substitution to affect only some of the offsets.