The only thing that's encoded in DNA is how to make proteins. Everything else is emergent from the interactions of those proteins and "encoded" only in evolutionary history of how those interactions work when they do so in a repeatable fashion. DNA is not a "blueprint" for making a body or a mind... it is much more like the "seed" pattern for a run of Conway's Game of Life, except with a bit of indeterminism for environmental influences thrown in. There are things about the phenotype you can predict from the DNA because you've got past examples, but a small change in initial conditions or the environment during development can also throw you way off... you have to run the whole process (i.e. grow a complete animal) to ever be sure what the phenotype looks like or behaves like.
Wikipedia on the human genome [1]:
> Protein-coding sequences account for only a very small fraction of the genome (approximately 1.5%), and the rest is associated with non-coding RNA genes, regulatory DNA sequences, LINEs, SINEs, introns, and sequences for which as yet no function has been determined.
Wikipedia cites [2].
[1] https://en.m.wikipedia.org/wiki/Human_genome
[2] https://www.nature.com/articles/35057062
Edit: Formatting
The point remains that the products of DNA self-assemble, in the correct environment, into the pattern that determines the organism. Eliminate that environment, and it is just a stew of RNA and proteins.
There should be an upper bound to the complexity of their communication because of game theory. Tit-for-tat only supports an error rate of up to 9 percent, so at the upper bound cells will need to differentiate.
This is a lot of domain knowledge to accelerate the computation by, provided the theory is correct.
That doesn't seem plausible to me. DNA, just like a compiled program, is a set of instructions for a specific computer. I don't believe you can extract the meaning of a program without understanding the computer that is supposed to run it (except perhaps by statistical analysis of its results when being run, which is generally how we are studying it today).
Now, if we did have a deep understanding of cellular machinery, of the way cells organize into organs and organisms, and of the functionality of each of these organs, including the brain, and the way they collaborate to produce cognition, THEN we could perhaps decompile the DNA into a high-level algorithm, where we could say something like 'these are instructions for programming a stem cell to specialize into a cell which feeds cells that react when this chemical is encountered in concentrations greater than X over a time period of Y'. But this is likely the opposite approach to what you were asking - you would need to have an almost complete understanding of the biochemistry of the entire body, and of the way it gives rise to intelligence, at which point the DNA itself may not be so important anymore in the hunt for AGI.
This made me think of what forces of life are maybe engaging in within this universe: We can't know the structure of the machine running this simulation, but if we probe the results of the running simulation enough, we can understand everything of the system running it.
In the Einstein sense, maybe that's how we know God? :)
Note that he proposes both a problem and a solution, which are two separate entities. There may exist other solutions to cognition of incompleteness.
I think that if the problem of and solution to incompleteness in cognition did not exist then we would experience these computational inconsistencies similar to migraine blind spots. However we don't, and we perceive the error in computation as a single entity and not as two boundaries.