Modern AI can uncover ancient evolution mysteries.

"Researchers have demonstrated that the capacity for rapid adaptation within a few generations, known as evolvability, can also explain species divergence over millions of years. By analyzing extensive datasets from current species and fossils, they found that traits with high evolvability show more divergence over time, influenced by environmental fluctuations, which plays a crucial role in shaping evolutionary outcomes." (ScitechDaily, Darwin Revisited: Modern Data Sheds Light on Ancient Evolutionary Theories)

The AI is a tool that can sort large data mass. That ability makes it an excellent tool for uncovering evolution. Modern evolution theories determine that the species will advance and separate by genetic mutations. Those mutations can happen for natural reasons. Things like high radiation levels can destroy all other individuals than individuals who can resist cancer.

Another way how to mutate the genetic material is that the genetic material travels over species' borders. That thing can happen when lone animals copulate with other species individuals. That thing is the Lone Island model, where things like leopards and tigers will somehow get into Lone Island. And they will think that they are the same species. In some other cases, the retroviruses can transport genomes to the gametes or fetus.

An artist’s reconstruction of Purgatorius, a probable primate ancestor. Nobu Tamura/Wikicommons

The thing is that. the things how the first sharks decayed into different species, and how those species advanced into the dinosaurs. The question is what is the retrovirus's role in the natural selection in the early species? And the data mass that the AI can handle can open the mysteries of things like when mammals, especially primates started to separate from other mammals. Here we must say that the primates started to advance a long time before great apes, and humans.

"The evolutionary history of the primates can be traced back 57-90 million years. One of the oldest known primate-like mammal species, Plesiadapis, came from North America; another, Archicebus, came from China. Other similar basal primates were widespread in Eurasia and Africa during the tropical conditions of the Paleocene and Eocene. Purgatorius is the genus of the four extinct species believed to be the earliest example of a primate or a proto-primate, a primatomorph precursor to the Plesiadapiformes, dating to as old as 66 million years ago. ("Wikipedia, Evolution of primates")

The first primates were small-sized animals, that used their front feet like some red squirrels. That organism raised its food from land for some unknown reason. The first primate came to Earth about 57-90 million years ago, and the first hominids or great apes came to Earth about 22 million years ago. So the primates traveled a long evolution road before the first southern apes.

Artificial evolution requires responsibility.

Those separations in the evolution tree are interesting. The evolution road from the first primates to the humans is long. And the road from the first cells to the first sharks and dinosaurs has been long. The AI allows us to control the genetic material. And that gives us the possibility to create artificial species and control evolution.

That thing means that we should use that ability very wisely. We have the keys to removing things like genetic disorders from our society. But if we want, we can also create super soldiers by using that kind of technology. We have free will to use that advance how we want.

https://www.popularmechanics.com/science/animals/a46799706/mutant-wolves-of-chernobyl/

https://scitechdaily.com/darwin-revisited-modern-data-sheds-light-on-ancient-evolutionary-theories/

https://www.smithsonianmag.com/science-nature/five-early-primates-you-should-know-102122862

https://en.wikipedia.org/wiki/Evolution_of_primates

https://en.wikipedia.org/wiki/Hominidae

The hydrogen-burning supernovas are interesting models.

"Researchers discovered a significant magnesium anomaly in a meteorite’s dust particle, challenging current astrophysical models and suggesting new insights into hydrogen-burning supernovas. (Artist’s concept.)Credit: SciTechDaily.com" (ScitechDaily, Rare Dust Particle From Ancient Extraterrestrial Meteorite Challenges Astrophysical Models) If the star is too heavy when its fusion reaction starts, it can detonate just at that moment, when its fusion starts. If the collapsing nebula is heavy enough, it can form a black hole straight from the nebula. But if the nebula's gravity is too heavy to form the blue giant or too small it can collapse straight into a black hole . If the forming star is a little bit larger than the blue supergiants. It can explode immediately when the fusion starts. The theory of hydrogen-burning supernovas consists model of the giant stars that explode immediately after their fusion starts. When the interstellar nebula falls it can form

Transcendence, or the ability to transcendent thinking may grow in teen's brains.

"New research has discovered that transcendent thinking, which involves analyzing the broader implications of situations, can foster brain growth in adolescents. This form of thinking enhances brain network coordination, impacting developmental milestones and future life satisfaction. The study emphasizes the need for education that encourages deep, reflective thought, underscoring the critical role of adolescents in their own brain development". (ScitechDaily, Scientists Discover That “Transcendent” Thinking May Grow Teens’ Brains) "Scientists at USC Rossier School of Education’s Center for Affective Neuroscience, Development, Learning and Education (CANDLE) have discovered that adolescents who grapple with the bigger meaning of social situations experience greater brain growth, which predicts stronger identity development and life satisfaction years later". (ScitechDaily, Scientists Discover That “Transcendent” Thinking May Grow Teens’ Brains) The transcendenc

The neural network is the mind of the tiger.

The neural network is the mind of the tiger. The difference between traditional computers and neural networks is the role of the CPU. In traditional computers, the CPU (Central Processing Unit) makes all work, and that causes limits in computing. In neural networks, the CPU preprocesses data that senses send into it. That means the CPU will just recognize the situation and then resend it to a sub-processing unit. The receiving sub-system must have responsibility for that kind of case. That means the subsystem has databases where there are reactions for certain types of events. In neural networks, all sub-networks use sorted data. And they are meant to respond to things that senses are sending to the neural network. Each of the subnetworks has certain operational or response areas. And the CPU is like some kind of router. The system finds certain details from the data. Then it can route the information to the right subnetwork. In real life, neural networks could be multiple subnetwo

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