Month: September 2022

JUNK CODE. "The human genome is highly repetitive at all scales. Repetitive sequences make up at least half the genome and have long been dismissed as non-functional DNA." https://lnkd.in/de9z-Pn View in LinkedIn

REPETITIVE VARIATION. "A repeat consisting of perfect copies contains no information beyond its base sequence and the number of copies. However, using sequence visualization tools, what is actually observed in the human genome is that repetitive sequences contain many variations without exception." https://lnkd.in/de9z-Pn View in LinkedIn

REPETITIVE SEQUENCES. "This opens up the possibility that these repeats can act as information carriers and be under selective pressure." https://lnkd.in/de9z-Pn View in LinkedIn

REPETITIVE CODE. "Executable programs in computers use the same patterns of repetition in instructions that we observe in genome sequences. Despite the fact that they share none of the same physical mechanisms, genomes and computer programs have very similar structures." https://lnkd.in/de9z-Pn View in LinkedIn

TANDEM REPEATS. "Once visualized, the similarities between executable code and the human genome are both striking and ubiquitous. Executable code makes extensive use of tandem repeats which show the same kinds of variation normally explained as insertions, deletions, and substitutions in biology." https://lnkd.in/de9z-Pn View in LinkedIn

CODE AND CHROMOSOMES. "Executable code shows the same large scale organization as chromosomes. Firstly, changing bias between the use of 1’s and 0’s creates the same distribution pattern as isochores alternating between A/T and G/C bias." https://lnkd.in/de9z-Pn View in LinkedIn

DIGITAL AND CHEMICAL. "Secondly, blocks of data are stored at the beginning or end of the file, while the primary instructions occupy the middle of the file. This creates the same organization pattern observed in human chromosomes where repetitive sequences are grouped near the telomeres and centromeres." https://lnkd.in/de9z-Pn View in LinkedIn

FORCED EVOLUTION. "A computer carefully scrutinized every member of large and diverse set of candidates. Each was evaluated dispassionately, and assigned a numeric score according to a strict set of criteria. This machine’s task was to single out the best possible pairings from the group, then force the selected couples to mate so that it might extract the resulting offspring and repeat the process with the following generation." https://lnkd.in/e5p4fXs View in LinkedIn

SILICON EVOLUTION. "As predicted, with each breeding cycle the offspring evolved slightly, nudging the population incrementally closer to the computer’s pre-programmed definition of the perfect individual. The candidates in question were not the stuff of blood, guts, and chromosomes that are normally associated with evolution, rather they were clumps of ones and zeros residing within a specialized computer chip. As these primitive bodies of data bumped together in their silicon logic cells." https://lnkd.in/e5p4fXs View in LinkedIn

"HARDWARE EVOLUTION. The concept is roughly analogous to Charles Darwin’s elegant principle of natural selection, which describes how individuals with the most advantageous traits are more likely to survive and reproduce. This process tends to preserve favorable characteristics by passing them to the survivors’ descendants, while simultaneously suppressing the spread of less-useful traits." https://lnkd.in/e5p4fXs View in LinkedIn