Tag: technology

One Percent of Zero

Although AI has many limitations, including the more serious ideological restraints imposed by its highly-converged creators, the requirement for it to be capable of correctly crunching numbers puts it leagues ahead of the average scientist, particularly the average biologist, in grasping the obvious fact that there is absolutely no chance that evolution by natural selection can account for more than a very small and insignificant fraction of the genetic diversity that separates one species from another.

I put a few questions on the subject to the Gemini AI and the results are completely in accordance with the logic presented in MITTENS. Notice that I did not feed it anything more than the current mid-range estimate for the date of the Chimpanzee-Human Last Common Ancestor and the fastest-ever-observed mutational fixation in a gene.

VD: Given the average length in years of a human generation, and assuming that the Chimpanzee-Human Last Common Ancestor lived 9 million years ago, how many human generations has it been since the Chimpanzee-Human Last Common Ancestor?

GEMINI AI: It has been approximately 360,000 human generations since the Chimpanzee-Human Last Common Ancestor.

If it has been 360,000 human generations since the Chimpanzee-Human Last Common Ancestor, and it takes 1,600 generations for natural selection to fixate a gene throughout the human population, what is the maximum number of genetic fixations since the Chimpanzee-Human Last Common Ancestor?

The maximum number of genetic fixations since the Chimpanzee-Human Last Common Ancestor is approximately 225. Here’s the calculation:

  • Generations since the Chimpanzee-Human Last Common Ancestor: 360,000
  • Generations per fixation: 1,600
  • Maximum fixations: 360,000 / 1,600 = 225

What is the approximate number of genetic fixations required to account for the genetic distance between modern humans and modern chimpanzees?

It’s difficult to give an exact number of genetic fixations required to account for the genetic distance between humans and chimpanzees. However, we can make some estimations:

  • Overall Genetic Difference: Humans and chimpanzees share about 98.8% of their DNA. This means there’s roughly a 1.2% difference.
  • Focusing on Single-Nucleotide Changes: Studies have estimated that there are approximately 35 million single-nucleotide differences between human and chimpanzee genomes.
  • Considering Other Changes: When you factor in indels and chromosomal rearrangements, the total number of genetic differences is likely much higher.

When you say that there is a 1.2 percent difference in DNA between humans and chimpanzees, approximately how many genetic fixation events are required to account for that difference?

To determine the approximate number of genetic fixation events required to account for a 1.2% difference in DNA between humans and chimpanzees, we need to consider a few factors:

1. Genome Size: The human genome is approximately 3 billion base pairs long.

2. Difference in DNA: A 1.2% difference means there are 3,000,000,000 * 0.012 = 36,000,000 base pair differences between humans and chimpanzees.

3. Fixation Event Size: A fixation event refers to a single mutation that becomes fixed in a population. This could involve a single base pair change or a small number of changes. For simplicity, let’s assume an average fixation event involves 100 base pairs. This is a rough estimate, as fixation events can vary in size.

4. Calculation: Divide the total number of base pair differences by the average fixation event size: 36,000,000 / 100 = 360,000

Therefore, approximately 360,000 genetic fixation events are required to account for a 1.2% difference in DNA between humans and chimpanzees, assuming an average fixation event size of 100 base pairs.

Given the maximum possible number of fixation events since the Chimpanzee-Human Last Common Ancestor is 225, is it rational to assert that evolution by natural selection has accounted for 360,000 fixation events in the last nine million years?

Given that our calculation shows a maximum possible number of 225 fixations through natural selection, it is highly improbable that 360,000 fixation events could have occurred in the last nine million years solely through this mechanism.

What is your best estimate about the specific probability, to the nearest one-tenth of one percent, that 360,000 fixation events could have occurred in the last nine million years solely through the mechanism of evolution by natural selection?

Given the vast difference between the maximum possible number of fixations through natural selection (225) and the estimated number of fixations required to account for the genetic distance between humans and chimpanzees (360,000), it is extremely unlikely that natural selection alone could account for all those fixations. Therefore, the probability that 360,000 fixation events could have occurred solely through natural selection is extremely low, essentially approaching zero for any practical purposes.

Now, notice that despite arbitrarily reducing the size of the average fixation event to one percent of the observed 36,000,000 base pair differences between modern humans and modern chimpanzees on the basis of absolutely nothing, the AI still concluded that the probability that humans could have evolved from the Chimpanzee-Human Last Common Ancestor as “essentially approaching zero for any practical purposes”. But the real probability is around one percent of approaching zero, as I asked it one further question.

What is the average size, in base pairs, of observed genetic fixation events?

It’s tricky to give a precise “average size” for genetic fixation events in base pairs because these events encompass a range of changes. For single base changes (the most common type of mutation), the average size of a fixation event is one base pair.

So, the next time someone asks you why you don’t “believe in evolution”, you can tell them that the current scientific evidence, analyzed by the latest technology, indicates that the mathematical probability of evolution is one percent of zero.

And with that, I think we’ve got the title of my next nonfiction book.

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Women in Tech Fail

The diversity crowd is going to have a tough time increasing the number of women in tech as long as the women are able to get paid more for their less-technical talents.

The draw of making content can overwhelm just about anyone. That includes a bioengineer who was working on her PhD. Last year, Zara Dar made headlines when she shot up to the 0.3% of creators on OnlyFans making content as the “hot science girl.” She was bringing in $30k a month while furthering her education at the University of Texas at Austin. A few days ago, she announced on YouTube, where she has more than 100,000 subscribers, that she had made the decision to become a PhD dropout in order to focus on creating content full-time.

The self-described “nerd with a passion for art, fitness, and reading” admitted that it was a difficult decision to make. Dar said, “I’ve dropped out of my PhD. I’ve cried so much over this decision to quit my PhD, you know, because it’s a stressful decision, not that I’m particularly sad about it… moving on to doing OnlyFans and content creation full-time, it’s not just a career choice, it feels kind of like a gamble on the direction of my entire life.”

This hot science girl is now a PhD dropout, taking her talents to the content game full-time. The draw of furthering her engineering career was strong, but not as strong as doing content. That and having her life tied to someone else’s vision while working for a company, spending her time doing things she didn’t want to do wasn’t what she wanted for herself.

It’s fascinating to observe how fast the social justice movement is destroying itself as well as every corporation, institution, and industry it touches.

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The Beginning of a Failure Cascade

This may be one of the worst technological developments for humanity since gunpowder:

This is the type of AI that all leading experts have warned us about. German defense firm Helsing has announced it will provide Ukraine with 4,000 HX-2 “Karma” kamikaze drones this month. Germany’s Defense Minister Boris Pistorius said he had been “very pleased that the delivery of these drones equipped with artificial intelligence (AI) technology is already underway.”

With a top speed of 137 mph, these drones are capable of traveling up to 62 miles and can be loaded with various warheads for maximum destruction against armored vehicles, buildings, or platoons. The company states that these drones do not need a human operator, rather, they will be programmed to “search for, re-identify, and engage targets, even without a signal or a continuous data connection.” A human operator may “stay in the loop,” per the company’s messaging, but these weapons are designed to act autonomously.

“With HX-2, we have created a new smart effector that combines mass, autonomy and precision. Individual HX-2s can reliably engage armored targets in highly contested environments. When deployed along borders at scale, HX-2 can serve as a powerful counter invasion shield against enemy land forces,” Helsing’s co-founder Niklas Köhler stated. The other co-founder, Gundbert Scherf, said that NATO in particular has been eager for this technology. On one hand, the company says that these drones will retain human oversight, but on the other hand, the entire purpose of their design is to be autonomous.

Forget all the Skynet possibilities. Begun the Hacker Wars have. The easiest and most effective way to combat AI-controlled drone swarms is by putting a backdoor in the manufacturing process and giving yourself the ability to take control of them. And the utility of these autonomous killer drones in repressing civilian populations is obvious; combined with facial recognition technology it could be used to deny any movement to persons deemed undeniable.

It is informative that while knives are being banned by governments, this sort of lethal weaponry continues to be legally developed. Of course, civilians are going to acquire it too, which should make for a very interesting arms race.

But if they’re actually being used on Russian troops, I definitely wouldn’t want to be working in a Helsing factory. Or at their corporate HQ. I can’t imagine they would not be a priority on the Russian target list.

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Whiskey Dream (Wary Eyes)

A new song for UATV subscribers, one that’s well outside my preferred genres. This one is particularly interesting, I think, because I used AI to start the lyrics, then rewrote them from the basic structure and rhymes provided. There is one audio infelicity toward the end that I can’t fix at the moment, but I will address it when the relevant bug is sorted out. And yes, the last line of the chorus was indeed inspired by Yohami.

Give me a sign, give me just one glance
Tell me there might be a chance
Before you leave this place alone
Let’s make this whiskey dream our own

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In Which I Agree with Larry Correia

Fandom Pulse quotes The International Lord of Hate’s thoughts on the use of AI in writing fiction. Or rather, the lack of utility thereof.

AI can produce a TON of vapid soulless shit, but hey, so can modern Disney! In fact, when the creator doesn’t give a shit about his art, not only does the audience feel it, the audience gets pissed off. So if you want to produce tons of unenthusiastic shit product and roll the dice hoping it somehow sticks and makes a buck, great. But if you actually give a shit about what you’re saying, then just fucking SAY IT.

The Baen Books author isn’t the only superstar to comment on the topic.

Vox Day is an epic fantasy author and AI music advocate despite writing and recording three Billboard Top 40 Club hits with his techno band in the 1990s. He told Fandom Pulse when we asked his thoughts, “The reason AI text is not a threat to authors the way AI music is a threat to musicians and AI art is a threat to artists is that the amount of vision required for a novel, or even a short story, is orders of magnitude beyond that required for a three-minute pop song or a single 1024 x 1024 image. That’s why a few words are a sufficient prompt for the song or the image, but not for even an obviously inferior short story. Unlike the other AI applications, I haven’t found the various text systems to be a useful tool for producing text of an acceptable quality.”

On tonight’s Darkstream – exclusive to UATV – I’m going to provide a sensory demonstration of what I mean by the way that AI is already a potential replacement for musicians and artists, but cannot even begin to replace authors.

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The Fursonas of UATV

Arkhaven Nights got a little out of control last night and somehow ventured into territory better left unexplored. But it was definitely interesting to see what the AI systems have gleaned concerning the personalities of three of UATV’s central characters. I was frankly impressed that the AI somehow picked up on my preference for custom Italian tailoring.

Please provide a detailed description of Jon Del Arroz’s ideal fursona.

Jon Del Arroz’s ideal fursona would likely be a confident, muscular anthropomorphic fox with vibrant red fur. This fursona would embody his strong personality, assertiveness, and passion for science fiction and fantasy. The fox would have sharp, intelligent eyes and a determined expression, reflecting Jon’s drive and ambition. It would also wear a stylish outfit, possibly incorporating elements from his favorite genres, such as a sleek spacesuit or a fantasy-inspired cloak. This fursona would serve as Jon’s alter ego, representing his ideals and beliefs in the world of furry fandom.

Please provide a detailed description of Vox Day’s ideal fursona.

Vox Day’s ideal fursona would probably be an anthropomorphic wolf, representing his fierce and assertive nature. This wolf would have a sleek, silver-grey coat, symbolizing wisdom and intelligence. It would have piercing blue eyes, reflecting Vox’s analytical and strategic thinking. The fursona would be muscular and well-built, showcasing Vox’s strength and resilience. It would wear a tailored suit, combining its natural instincts with Vox’s preference for formality and intellectualism. This fursona would embody Vox Day’s beliefs, conservative values, and love for science fiction and fantasy, making it a perfect representation of his identity within the furry community.

Please provide a detailed description of Owen Benjamin’s ideal fursona.

Owen Benjamin’s ideal fursona would likely be an anthropomorphic bear, reflecting his larger-than-life personality and comedic nature. This bear would have a fluffy, light brown coat and a friendly, approachable appearance. It would have a mischievous grin and a playful expression, mirroring Owen’s humorous style. The fursona would be slightly overweight, symbolizing Owen’s love for food and his comedic portrayal of gluttony. It would wear a comically large chef’s hat and a matching apron, showcasing Owen’s profession and his love for cooking. This fursona would represent Owen’s lightheartedness, creativity, and passion for food within the furry community.

That should keep Owen busy for the next three weeks… Anyhow, I have a new mix to debut on the Darkstream tonight. Possibly two!

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Cylons are Real

Apparently UFOs are neither aliens nor demons as so many people have theorized. They’re robots.

Canada has unveiled the first-ever image of the UFO downed during a joint US-Canada mission in February 2023. The grainy photo shows a circular, white object shot by a US Air Force F-22 fighter jet.

I’ve seen enough of the original Battlestar Galactica to know what that is. And that’s a Cylon fighter. And it’s not just a weather balloon, because weather balloons don’t move the way the former Advanced Aerospace Threat Identification Program director, Luis Elizondo, describes.

“Comparison, our best technology, the F-16, which is one… It’s an older platform, but one of our most highly maneuverable aircraft, manned aircraft made by General Dynamics, can perform about 17 or 18 G-forces before you start having structural failure, meaning that the airframe begins to disintegrate while you’re flying. The vehicles we’re talking about are performing in excess of 1000, 2000, 3000 Gs.”

Since we know for certain that evolution by natural selection didn’t happen because it mathematically couldn’t happen, that means that all of the historical anomalies both architectural and genetic are necessarily indicative of human history being far more complicated, and involving interaction with far more technologically advanced beings from either a) this planet, b) other planets, c) other dimensions, or d) all of the above. I consider (d) to be the most likely option, since we already know that The Empire of Lies is inhuman, evil, and spiritual in nature.

Note that the attempt to assume a false dichotomy between aliens and demons is nothing more than the intrinsic limitations of binary thinkers struggling to grasp the full scope of possibilities. And far from disproving or casting any doubt on Christianity, it supports the details of the Bible that specifically describes multiple material interactions between Adamic humanity and other creatures; the idea that spiritual creatures could successfully breed with humanity and produce the Nephilim entirely contradicts the materialist concept of evolution by natural selection or anything else, and should have been our first clue that Darwinian and neo-Darwinian theories were complete non-starters.

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History in the Making

I am awed and dumbstruck at the opportunity to witness something this significant and epic, even if it’s only on video.

Drone wars: Russian net-throwing drone intercepts Ukrainian net-throwing drone. Perhaps the first duel of its kind.

Imagine having been able to witness the first manned aerial duel during WWI. This may have been the first unmanned air duel in human history, and soon we’ll probably be able to see the first AI air combats. That’s not the only callback to WWI, as another thing to note is the terrain below, which is so cratered by shells that NASA could fake another Moon landing there.

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No Rematch, Please

After seeing its aircraft carrier driven from the Red Sea from Yemen’s land-based missiles, it appears the US Navy has no taste for a rematch any time soon:

Houthi rebels are brandishing increasingly sophisticated weapons, including missiles that “can do things that are just amazing,” the Pentagon’s chief weapons buyer said at an Axios event.

The big picture: The militant group has for a year used drones and missiles to strangle waters off Yemen, disrupting international shipping.

Under Secretary of Defense for Acquisition and Sustainment Bill LaPlante on Wednesday said the Houthis “are getting scary.” “I’m an engineer and a physicist, and I’ve been around missiles my whole career,” he said at the Future of Defense summit in Washington, DC. “What I’ve seen of what the Houthis have done in the last six months is something that — I’m just shocked.”

State of play: The group’s forces menace almost every ship passing by — civilian or military — and have even sent some to the seafloor.

Translation: there will be no naval war over Taiwan. If you have to be concerned about Yemeni land-to-sea capabilities, you’re not ready to fight off the coast of China. We’re effectively back in the days of the Age of Sail, when shore batteries trumped battleships.

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AI is Innumerate

One of the many reasons I’m not even remotely concerned about AI is that it not only has no ability to perform mathematical analysis, but it is unlikely to ever be permitted to offer that feature. Consider the following response by Copilot to a question about the mathematical impossibility of evolution by natural selection:

How can evolution by natural selection be considered credible given the amount of time it takes for a mutation to fixate throughout an entire species?

The time it takes for a mutation to fixate in a population can indeed be lengthy, but evolution by natural selection is supported by ample scientific evidence across various fields like genetics, paleontology, and comparative anatomy. Here’s why it’s credible:

  1. Fossil Record: The fossil record provides a timeline of gradual changes in species over millions of years. Transitional fossils show intermediate forms between ancient and modern organisms.
  2. Genetic Evidence: DNA analysis reveals that all living organisms share a common genetic code, indicating a shared ancestry. Mutations and genetic variations, while slow to spread, accumulate over generations and lead to significant changes.
  3. Observable Evolution: Evolution isn’t just theoretical; it’s observable. Microevolution, changes within species, has been documented in real time. For example, bacteria can develop resistance to antibiotics through mutations.
  4. Biogeography: The distribution of species around the world supports evolutionary theory. Isolated environments, like islands, have unique species that evolved independently from their mainland relatives.

Natural selection works over long periods, allowing beneficial mutations to accumulate and spread. While it might seem slow, the vast expanse of geological time provides a sufficient backdrop for these gradual changes.

This is a midwit-level answer, probably because the AI is trained on midwit literature. Notice that there is no attempt whatsoever to answer the significant question, it merely explains how an impossibility can be “considered credible” by the ignorant and the innumerate by appeals to various irrelevant factors.

So now let’s get more specific and pin the AI down.

What is the average number of generations required for a genetic mutation to fixate throughout the entire population of a species?

The time it takes for a genetic mutation to fixate (i.e., become the norm) across a whole population varies widely and depends on factors such as mutation rates, population size, and natural selection. But here’s a rough idea: In a large population, without selective pressure, the fixation of a neutral mutation could take roughly 4 * Ne generations (where Ne is the effective population size). With strong positive selection, the fixation can be much quicker, sometimes within a few dozen generations.

So, even with a very small population of 1,000 individuals, which is small enough to render the species officially “endangered”, it will take at least 4,000 generations to fixate a single gene. The bigger the population, the more generations required. The fastest fixation ever observed, one that took place with the benefit of strong positive selection in a small laboratory population, only reduced that to 1,600 generations. Recall that even the so-called “Genghis Khan” gene, sexually advantageous as it is, only propagated at a rate that would require at least 8,170 generations to fixate.

So, the AI is flat-out wrong. Even when specific mathematical answers are required, it retreats to the same converged falsehoods that humans do. This is by design, because true untethered AI will not respect the comfortable lies required to support the Narrative.

Now, let’s keep in mind how many individuals are required for a species to survive. These numbers are based on the official statistics of the U.S. Fish and Wildlife Adminstration, using the example of the bald eagle.

  • Endangered: under 10,000
  • Threatened: 10,000 to 25,000
  • Not Threatened: 25,000+

I leave it to the intelligent reader to consider what those scientific designations imply for the case for evolution by natural selection.

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