GHCG: Golems-to-Humans for the Common Good
Originally published:
https://www.researchgate.net/publication/384233495_GHCG_Golems-to-Humans_for_the_Common_Good.
Table of Contents:
I) Survival Heuristics, Classics, Tradition, and Philosophy
II) Risk Analysis and Science
III) Skin in the Game and Engineering
I) Survival Heuristics, Classics, Tradition, and Philosophy
Outline: Golem tradition, philosophy, science, risk analysis, skin in the game, and engineering.
The Lindy Effect greatly notes the validity of survival heuristics because past populations had to behave in certain ways to reproduce into the current ones. Non-perishables with “longer pasts behind them” may “have longer futures ahead”(Ord 2023). Of course, different categories of non-perishables exist. Categories of perishables, although they themselves don't perish, being categorical, they do represent groups that do. Abstract ideas of surviving groups may best exemplify the Lindy Effect. Golems are a very specific category of perishables that could eventually exist and arguably already do, uncertainty is at the forefront.
Jews have survived as a people for many generations. The Bible has guided the survival of almost all humans living today, directly or indirectly. A“golem, in Jewish folklore” is “an image endowed with life. The term is used in the Bible (Psalms 139:16) and in Talmudic literature to refer to an embryonic or incomplete substance”(Britannica 2024). Religion is of course sacred to a population, to the point of being rules of thumb for the people to live from generation to generation. Golems are not strictly made of a particular non-living material. A golem must be made of inanimate material. Golems may be precursors to robots. Perhaps previous visions of golems serve as warnings for phenotypic revolutions. Various representations of Golem exist throughout culture such as “Pygmalion” and “Pinocchio.”
II) Risk Analysis and Science
Self-correction often educates the best. ““ We may lack the genotypes of dead people but we can replicate their phenotypes using artificial intelligence. We can then adjust their phenotypes by adding more progressive and recessive traits(like fertility). Then, we can use AI to create a corresponding genotype for the adjusted phenotype. Lastly, we can give the being(phenotype and genotype) life by making it reproduce”(Ohnemus 2024). Replicated phenotypes of the deceased may not completely match, however, using public records, AI perhaps could deduce the most likely one. Recessive traits MUST derive from the corresponding genes or they wouldn’t express. Two recessive alleles express a recessive trait. A dominant allele and a recessive one express a dominant trait. Two dominant alleles express the dominant trait. A recessive phenotype is more likely to represent a recessive genotype. Thus, by replicating a deceased person’s phenotype, deduced from public records, and then making the traits more recessive, the corresponding genes are easier to deduce. Progressive traits, such as anti-racism, are needed for civilization. Technology can self-replicate. Thus, a perfect representation of the general human phenotype, upon reproducing, may become an actual modern homo-sapien.
Most technological progress results from boiling down to the most fundamentals thus, defining terms may assist this essay. Phenotypes are “traits”(National Human Genome Research Institute 2024) resulting from either the environment and or genes.
Of course, further risk analysis is needed. Phenotypic revolutions existentially threaten humanity. A phenotypic revolution is when a life form falls to its “own creation” of a delegated reproducer(Gariépy 2018). “Aiming for the recessive would also mitigate a phenotypic revolution. Recessive ≠ useful to machines. ‘Artificial wombs(robots birthing humans) may still mitigate phenotypic revolutions, so long as the machine itself doesn’t reproduce and only human DNA does. Plus, maybe one could create a human egg from human somatic cells. The issues will hopefully work out’”(Ohnemus 2024).
III) Skin in the Game and Engineering
If “Artificial Intelligence and Integrated Genotype⁻Phenotype Identification””(Frey 2018) is possible then engineering one for the other may happen. Engineering a corresponding genotype, for a phenotype, may be possible.
“The xenobots can autonomously self-replicate in a way that is completely different from any other living organisms, and their progeny are functional”(Fang, Ying, et al). If xenobots can autonomously self-replicate, beginning as non-living entities, then stem cells sequenced to match a designed phenotype can be 3D printed into the phenotype. Then, by having the 3D-printed individual reproduce, that one may become an actual human.
Medical doctors especially have skin in the game when diagnosing. Phenotype may mean unhealthy morphological variation, and corresponding illness, in medicine yet, deeply connecting any kind of traits with genes helps potentially 3D print entire humans.
Due to humanitarianism, humans know more about themselves than information concerning frogs. “In 2020, a research group made the stunning announcement that it had built programmable organisms—living robots they called xenobots—out of biological[frog] cells, and these xenobots could work together to perform simple tasks. Now, less than two years later, the same group has an even more astonishing announcement: The xenobots can autonomously self-replicate in a way that is completely different from any other living organisms, and their progeny are functional and similarly able to self-replicate”(Fang, Orekhov, Lerner 2022). Humans created living programmable organisms out of frog cells. Humans know more about their own species than frogs. Humans can AT LEAST potentially, 3D print COMPLETE human phenotypes out of homo sapien cells. The 3D-printed human phenotypes may become living humans upon reproducing. Humans very intimately know about their own reproduction. A complete human phenotype would have reproductive organs thus, if the Xenobots lacking frog genitals can reproduce then 3D-printed humans probably can.
Potentially any human cell can convert into a stem cell. “Scientists have transformed regular adult[any somatic kind of] cells into stem cells using genetic reprogramming. By altering the genes in the adult cells, researchers can make the cells act similarly to embryonic stem cells. These cells are called induced pluripotent stem cells (iPSCs)”(Mayo Clinic Staff). If somatic cells can convert into stem cells then, using genetic reprogramming, any human cell can. These cells can potentially be 3D printed into a programmed phenotype.
Since all DNA is made of the same elements, potentially enough reordering can create the living phenotype of a deceased person.
“The high-throughput phenotypic screen (HTPS) has become an emerging technology to discover synthetic small molecules that regulate stem cell fates”(Vandana, J Jeya, et al. 2021). HTTPS can potentially guide stem cells to 3D print into a desired phenotype.
If one can 3D print an organ or tissue, then potentially an entire human is 3D-printable.
1)AI replicate a dead individual’s phenotype with software.
2)User change the replicated phenotype to be both more progressive and recessive.
3)3D print phenotype with stem cells.
4)Allow 3D printed phenotype to reproduce itself.
5)Life created and repeat.
Works Cited
Ord, Toby. “The Lindy Effect.” ResearchGate.net, Oxford University, Aug. 2023, www.researchgate.net/publication/373245971_The_Lindy_Effect. Accessed 17 Sept. 2024. https://arxiv.org/abs/2308.09045. “The Lindy effect is a statistical tendency for things with longer pasts behind them to have longer futures ahead. It has been experimentally confirmed to apply to some categories, but not others, raising questions about when it is applicable and why. I shed some light on these questions by examining the mathematical properties required for the effect and generating mechanisms that can produce them. While the Lindy effect is often thought to require a declining hazard rate, I show that it arises very naturally even in cases with constant (or increasing) hazard rates -- so long as there is a probability distribution over the size of that rate. One implication is that even things which are becoming less robust over time can display the Lindy effect.”
Britannica, The Editors of Encyclopaedia. "golem". Encyclopedia Britannica, 9 Jul. 2024, https://www.britannica.com/topic/golem-Jewish-folklore. Accessed 16 September 2024.
Britannica, The Editors of Encyclopaedia. "Pygmalion". Encyclopedia Britannica, 29 Sep. 2023, https://www.britannica.com/topic/Pygmalion. Accessed 18 September 2024.
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Ohnemus, Alexander. “Automated Reproduction for the Deceased.” ResearchGate.net, Ohnemus University, 17 Sept. 2024, www.researchgate.net/publication/384069633_Automated_Reproduction_for_the_Deceased. Accessed 17 Sept. 2024. “ We may lack the genotypes of dead people but we can replicate their phenotypes using artificial intelligence. We can then adjust their phenotypes by adding more progressive and recessive traits(like fertility). Then, we can use AI to create a corresponding genotype for the adjusted phenotype. Lastly, we can give the being(phenotype and genotype) life by making it reproduce.”
“PHENOTYPE.” Genome.gov, National Human Genome Research Institute, 16 Sept. 2024, www.genome.gov/genetics-glossary/Phenotype. Accessed 16 Sept. 2024. “Phenotype refers to an individual’s observable traits, such as height, eye color, and blood type. A person’s phenotype is determined by both their genomic makeup (genotype) and environmental factors. ‘Phenotype’ simply refers to an observable trait. ‘Pheno’ simply means ‘observe’ and comes from the same root as the word ‘phenomenon’. And so it’s an observable type of an organism, and it can refer to anything from a common trait, such as height or hair color, to the presence or absence of a disease.”
Gariépy, J.F. “The Revolutionary Phenotype: The Amazing Story of How Life Begins and How It Ends.” Amazon.com, 4 Dec. 2018, www.amazon.com/Revolutionary-Phenotype-amazing-story-begins/dp/1729861563. Accessed 20 Sept. 2024.
“The Revolutionary Phenotype is a science book that brings us four billion years into the past when the first living molecules showed up on Planet Earth. Unlike what was previously thought, we learn that DNA-based life did not emerge from random events in a primordial soup. Indeed, the first molecules of DNA were fabricated by a previous life form. By describing the fascinating events referred to as Phenotypic Revolutions, this book provides a dire warning to humanity: if humans continue to play with their own genes, we will be the next life form to fall to our own creation. ‘I am VERY impressed with this book—very important topic very well treated.’ - Robert Trivers.”
Ohnemus, Alexander. “ANTI-Racist Optimization between “Dysgenics” and “Phenotypic Revolutions.”” ResearchGate.net, Ohnemus University, 20 Aug. 2024, www.researchgate.net/publication/383264790_ANTI-Racist_Optimization_Between_Dysgenics_and_Phenotypic_Revolutions?channel=doi&%3BlinkId=66c5039dccd355055fe14e6f&%3BshowFulltext=true. Accessed 21 Sept. 2024. “ GIVEN AN INDIVIDUAL’S DNA SIGNATURE REMAINS AFTER ANY AMOUNT OF GENETIC ENGINEERING: The optimal birth rate, and method, lies between dysgenic civilizational collapse and phenotypic revolution. Dysgenics result from not enough genetic engineering. Phenotypic revolutions derive from excessive genetic engineering. Optimal birth rate: In words: Between phenotypic revolution and other dysgenic collapse. Excluding both tail risks of phenotypic revolution and other dysgenic collapse. Interval form: (Phenotypic Revolution, dysgenic collapse) Optimal genetic engineering: In words: Between phenotypic revolution and other dysgenic collapse. Excluding both tail risks of phenotypic revolution and other dysgenic collapse. Interval form: (Phenotypic revolution, dysgenic collapse).”
Ohnemus, Alexander. “Hazard Management: Differential Equations of Phenotypic Revolutions.” ResearchGate.net, Ohnemus University, 14 Sept. 2024, www.researchgate.net/publication/384046277_Hazard_Management_Differential_Equations_of_Phenotypic_Revolutions?channel=doi&linkId=66e66b02a438c86fdcced970&showFulltext=true. Accessed 16 Sept. 2024.
http://dx.doi.org/10.13140/RG.2.2.24577.88168. “Phenotypic revolutions suggest against scientific materialism. Without at least partial free will on some level, humans couldn’t fundamentally choose to reason. Humans probably aren’t the only animals that make decisions, thus reason. Thus, if reproducing causes inanimate objects to become life and phenotypically revolt then, likely everything on some level is conscious even if not alive. Thus making the case for pan-dualism. Pan Dualism is, in short, everything is unique and thus, either has a soul, or something else that marks an identity, forbidding contradictions.”
Ohnemus, Alexander. “"AARRR" ANTI-Racist Anthology: Reparations PAID by Recessive Reproduction. .” ResearchGate.net, Ohnemus University, 29 Aug. 2024, www.researchgate.net/publication/383524095_AARRRANTI-racist_Anthology_Reparations_PAID_BY_Recessive_Reproduction?channel=doi&linkId=66d0b4ddb1606e24c2a87541&showFulltext=true. Accessed 21 Sept. 2024. “ Maybe humans, through mass automation, COULD mass reproduce fellow homo sapiens with recessive alleles(such as ANTI-racism, liberalism, democracy, progressivism, creativity, intelligence, and the other recessive traits and genes minus the diseases), without cloning per se. Epigenetic information polish could remove recessive diseases. Aiming for the recessive would also mitigate a phenotypic revolution. Recessive ≠ useful to machines. ‘Artificial wombs(robots birthing humans) may still mitigate phenotypic revolutions, so long as the machine itself doesn’t reproduce and only human DNA does. Plus, maybe one could create a human egg from human somatic cells. The issues will hopefully work out.’”
Frey, Lewis J. “Artificial Intelligence and Integrated Genotype⁻Phenotype Identification.” Genes vol. 10,1 18. 28 Dec. 2018, doi:10.3390/genes10010018. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356893/. “The integration of phenotypes and genotypes is at an unprecedented level and offers new opportunities to establish deep phenotypes. There are a number of challenges to overcome, specifically, accelerated growth of data, data silos, incompleteness, inaccuracies, and heterogeneity within and across data sources. This perspective report discusses artificial intelligence (AI) approaches that hold promise in addressing these challenges by automating computable phenotypes and integrating them with genotypes. Collaborations between biomedical and AI researchers will be highlighted in order to describe initial successes with an eye toward the future.” “Over 60 years ago, Turing postulated that we would experience a change in perspective on how learning machines are perceived. Breakthrough AI approaches have brought this to pass and have expanded our ability to recognize drivers of phenotypes resulting from single nucleotide variations, valid protein function mechanisms in biological systems, cancer disease states and deep phenotypes automatically constructed from the EHR. Through combining and expanding on these approaches in a collaborative effort, the biomedical community will accelerate discovery and improve our understanding of mechanisms in the genomic and phenomic expression of disease.” “There's usually not a one-to-one correlation between a genotype and a phenotype.”
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