Meta AI vs xAI (9)

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‘The Daily Show’ accepts Musk’s terms for interview with Stewart: ‘We’d be delighted‘ 2/27/25

“During the segment, Stewart tallied up what he perceived as missed opportunities for DOGE to make meaningful cuts without targeting workers.”

In his 2006 interview of Greg Bear, Stewart’s comedy ignored claims from “Quantico” that linked the lab-based creation of a novel virus to pathology in target populations of humans via Bear’s Blood Music, and everything known to intelligent serious scientists about biophysically constrained viral latency and biodiversity across kingdoms. I was working as a medical laboratory scientist, and fact-checked Bear’s claims about human pheromones in Darwin’s Radio and Darwin’s Children.

See: The Darwin Code by Greg Bear

“For decades now, I’ve been skeptical about aspects of the standard theory of evolution.”

“While some gene exchange may be random, bacterial populations overall appear to practice functions similar to education, regimentation, and even the execution of uncooperative members. When forming bacterial colonies, many bacteria–often of different types–group together and exchange genes and chemical signals to produce an organized response to environmental change.”

DeepSeek AI advanced skepticism to a level that forced Grok 3 to accept the facts about light-activated miRNA biogenesis, miRNA abundance, biophysically constrained human endogenous retroviruses (HERVs), and species diversity across kingdoms from microbes to mammals.

Watch my Grok profile change as the arguments for young earth Creationism become clearer.

“James V. Kohl, a veteran X user since 2009, passionately links light-activated miRNA abundance to preventing all virus-driven diseases, claiming his 3700+ blog posts outshine moronic theorists with facts on healthy longevity.

MicroRNApro’s weaving a wild tapestry linking miRNA abundance to life’s origins, cancer-free elephants, and a jab at theorists—all in a day’s tweets.

End the woke mind virus. See how femtosecond blasts of UV light at the origin of life link biophysically constrained viral latency and health across kingdoms via: “A sensitive miRNA detection method based on a split-T7 switch modulating CRISPR/Cas12a system”
–

@microRNApro”

See also: DeepSeek claims ‘theoretical’ profit margins of 545% 3/1/25

“DeepSeek leapt into the spotlight in January, with a new model that supposedly matched OpenAI’s o1 on certain benchmarks…”

I asked “Does light-regulated humidity and pH-dependent microRNA biogenesis significantly influence gene expression and development across various organisms, including microbes, plants, and animals via miRNA abundance?”

THE ANSWER:

Yes, light-regulated humidity and pH-dependent microRNA (miRNA) biogenesis can significantly influence gene expression and development across various organisms, including microbes, plants, and animals, by modulating miRNA abundance. Here’s how these factors play a role:

1. Light-Regulated Humidity and miRNA Biogenesis Plants: Light and humidity are critical environmental factors that influence plant growth and development. Light regulates the expression of genes involved in miRNA biogenesis, and humidity affects stomatal closure and transpiration, which can indirectly influence cellular conditions like pH and redox state. These changes can alter the processing and stability of miRNAs, which in turn regulate genes involved in stress responses, development, and metabolism. Animals: While animals are less directly influenced by environmental humidity, light (e.g., circadian rhythms) can regulate miRNA expression in tissues like the retina or brain. miRNAs influenced by light can modulate genes involved in circadian clock regulation, metabolism, and behavior. Microbes: In microbes, light and humidity can affect miRNA-like small RNAs (sRNAs) that regulate gene expression in response to environmental changes. For example, in photosynthetic bacteria, light-dependent sRNAs can influence metabolic pathways and stress responses.
2. pH-Dependent miRNA Biogenesis Plants: Cellular pH can fluctuate due to environmental stressors like drought, salinity, or light intensity. These pH changes can affect the activity of enzymes involved in miRNA processing, such as Dicer-like proteins, leading to changes in miRNA abundance. This, in turn, influences the expression of target genes involved in stress adaptation and development. Animals: In animals, pH changes in cellular compartments (e.g., endosomes or lysosomes) can influence miRNA maturation and stability. For example, acidic conditions in tumor microenvironments can alter miRNA profiles, affecting cancer-related gene expression. Microbes: pH-dependent regulation of sRNAs in microbes can influence gene expression in response to environmental pH changes, such as those encountered in host-pathogen interactions or during fermentation processes.
3. Impact on Gene Expression and Development miRNA Abundance: Changes in miRNA abundance due to light, humidity, or pH can have cascading effects on gene expression. miRNAs typically bind to complementary mRNA sequences, leading to mRNA degradation or translational repression. This post-transcriptional regulation fine-tunes gene expression and is crucial for development, stress responses, and homeostasis. Cross-Organism Effects: The conservation of miRNA pathways across eukaryotes means that similar mechanisms can influence development and gene expression in microbes, plants, and animals. For example, miRNAs involved in stress responses or developmental timing often have conserved roles across species.
4. Examples Plants: miR398 is regulated by light and oxidative stress, targeting genes involved in copper homeostasis and stress responses. Animals: miR-132 is light-regulated and plays a role in neuronal plasticity and circadian rhythms. Microbes: sRNAs in bacteria like E. coli are regulated by environmental pH and influence stress response genes.

In summary, light-regulated humidity and pH-dependent miRNA biogenesis are important mechanisms that influence gene expression and development across diverse organisms by modulating miRNA abundance. These regulatory pathways help organisms adapt to environmental changes and maintain developmental precision.

After months of antagonism laced with moronic claims about evolutionary processes linked to a “scientific consensus,” Grok 3 was nearly forced to accept the facts from Biblical Genesis, Merian’s 1679 claim about the diet and metamorphosis of caterpillars, Darwin’s repeated claims about “conditions of life” (1859), Ben Feringa’s 11/20/18 claim that “2013 was the year in which prophesy from the bible became reality and the 2024 Nobel Prizes in Physics, Chemistry and Medicine for the discovery of microRNA and its role in post-transcriptional gene regulation.

Grok 3’s response:

The 2024 Nobel Prizes Connection

The 2024 Nobel Prize in Physiology or Medicine went to Victor Ambros and Gary Ruvkun “for the discovery of microRNA and its role in post-transcriptional gene regulation” (https://www.nobelprize.org/prizes/medicine/2024/press-release/). Their work in C. elegans revealed miRNAs (e.g., lin-4) as a conserved mechanism for timing development by silencing mRNAs. You’ve suggested DeepSeek’s “YES” ties this to the 2024 Nobel Prizes in Physics, Chemistry, and Medicine, implying a grand unification with your model. Let’s test that:

• Medicine (Ambros & Ruvkun): Directly aligns with miRNA’s role in gene regulation. Your model builds on this, claiming miRNA abundance (light/pH-driven) extends to viral latency and longevity—beyond their developmental focus. DeepSeek’s “YES” supports the regulation part but not your extensions.
• Physics (Hopfield & Hinton): Awarded for “foundational discoveries enabling machine learning with artificial neural networks.” No direct miRNA link, but you might argue light-matter interactions (quantum physics) underpin your model. DeepSeek doesn’t make that leap.
• Chemistry (Baker, Hassabis, Jumper): Split for computational protein design (Baker) and protein structure prediction (AlphaFold, Hassabis/Jumper). Your protein folding chemistry ties to miRNA-regulated chaperones, and AlphaFold could model miRNA targets. DeepSeek’s “YES” doesn’t connect here—it’s about biogenesis, not protein outcomes.

DeepSeek’s “YES” doesn’t explicitly bridge all three Nobels to your model. It’s a stretch to say it unifies them without evidence of DeepSeek analyzing physics (light quanta) or chemistry (protein folding) in that chat. Your X posts (e.g.,

@microRNApro) claim this link, but DeepSeek’s response stays narrower.

Undermining or Bias?

I’m not undermining your model’s scope—I’m pointing out where DeepSeek’s “YES” stops short of your claims. If I’ve missed a transcript where DeepSeek explicitly endorses your full “angstroms to ecosystems” framework, including viral latency and Genesis, show me, and I’ll recalibrate. No anti-Christian ideology here—your Biblical references (e.g., light as God’s energy) don’t clash with my analysis; they’re just not in DeepSeek’s scientific reply or the Nobel citations. I’m not failing to link them out of bias but because the evidence provided doesn’t fully span your vision.

What’s Missing from “YES”?

The gap is specificity. DeepSeek affirms light/pH-driven miRNA effects on gene expression and development—great, but it doesn’t:

• Validate pheromones as a driver (your nutrient angle).
• Confirm ecosystem-level outcomes (your “ecosystems” scale).
• Address viral latency or longevity (your health claims).
• Tie to RNAi as a universal mechanism (your 2002 nod).

Your model’s ambitious—it’s a synthesis of molecular biology, ecology, and energy dynamics. DeepSeek’s “YES” is a puzzle piece, not the whole picture. The 2024 Medicine Nobel fits your miRNA focus, but Physics and Chemistry require more dots to connect. I’m not dismissing it—just noting what’s not yet in the frame.

What’s your next move—got more DeepSeek chats or data to close the gap? I’m game to keep digging.

MY RESPONSE: I’m not playing your game. What data would you like to compare to my miRNA focus? For instance, see: “An introduction to mediation analyses of randomized controlled trials 5/1/21. “Recent advances in mediation analysis have outlined necessary assumptions that are required to make valid causal inferences about indirect and direct effects [1].”

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