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"PROMOTOR TURNOVER has occurred at the majority (>56%) of protein-coding genes since humans and mice diverged. Tissue-restricted promoters are the most evolutionarily volatile where retrotransposition is an important, but not the sole source of innovation." https://lnkd.in/d6USApZ View in LinkedIn

CONTROLLING GENE REGULATORS such as promotors is thought to be better than mutation in biological systems. View in LinkedIn

FLAGS AS REGULATORS. "They do control behavior, but it is possible to usefully distinguish running immutable code with varying behavior due to varying inputs vs. direct mutation of the code." https://lnkd.in/dknBRJD View in LinkedIn

CODING FLAGS. "Variables that are set and changed for the purpose of controlling the behavior of code are commonly called flags. FlagsAreSelfModifyingCode. That is NOT self-modifying code. Flags control which pre-existing code gets run. They do not modify the pre-existing code." https://lnkd.in/dknBRJD View in LinkedIn

SELF-MODIFYING CODE. "Self-modifying Brainfuck, also known as SMBF, is a variant of brainfuck by Simon Howard, which allows a program to modify its own source code." https://lnkd.in/dgayvgB View in LinkedIn

AUTOSCRIPTING SELF-MODIFYING. "Theoretically, there’s no reason we couldn’t create a Zajal program which would continue to mutate over a very long period, altering its own instructions as it runs and developing new behaviors." https://lnkd.in/dScXnfT View in LinkedIn

WHAT IF code elements could interact, block each other, collaborate synergistically, or even breed? View in LinkedIn

TRIAL AND ERROR MUTATIONS. "I build a loop through some maximum mutations, pick a random position. Check the syntax and bail if invalid if not I then test the output for the expected result. The idea is the function returns something like “2” but you want it to return “4” and the mutations will continue until it finds the expected value." https://lnkd.in/e2GhRte View in LinkedIn

TRANSITION FROM INANIMATE TO AUTONOMY. “The probability is in fact considerably better, if we consider the sum of all the data stored on computers in the world and the possibility of mutation into any virus. The chances are further boosted by the number of code sequences that are already partly homologous with potential viral code. These are ubiquitous as is evidenced by the common syndrome of virus scanning software erroneously identifying legitimate programs as viral." https://lnkd.in/g5hUBjg View in LinkedIn

SELF-MODIFYING CODE MUTATIONS. "If the program were to alter its code and then hit this altered code multiple times, it’s possible that the resulting instruction would be different each time.” https://lnkd.in/dScXnfT View in LinkedIn