I think you could reword my point to be something like: by the time you are doing something algorithmically/computationally that really recapitulates the important things happening in a cell, you are doing something more akin to a physics simulation than to running turing machines on DNA tape. At that point, when your ‘decompression algorithm’ is physics itself, calling it an algorithm seems a little out of place.
In another post just now I wrote that a genome and its products also define a whole landscape of states, not one particular organism. I can’t help but wonder just how huge that space of living states is, and how many of them correspond to normal cell types or cell states in such a mammoth, and how intractable it would be to find that one set of states that corresponds to ‘mammoth oocyte’ and produces a self-perpetuating multicellular system.
I think you could reword my point to be something like: by the time you are doing something algorithmically/computationally that really recapitulates the important things happening in a cell, you are doing something more akin to a physics simulation than to running turing machines on DNA tape. At that point, when your ‘decompression algorithm’ is physics itself, calling it an algorithm seems a little out of place.
In another post just now I wrote that a genome and its products also define a whole landscape of states, not one particular organism. I can’t help but wonder just how huge that space of living states is, and how many of them correspond to normal cell types or cell states in such a mammoth, and how intractable it would be to find that one set of states that corresponds to ‘mammoth oocyte’ and produces a self-perpetuating multicellular system.