miRNA papers vs Grok’s theories (10)

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miRNA papers vs Grok’s theories (9)

@Grok “Here, again, are the facts. My model links them to prevention or effective treatment of all virus-driven pathology via the soy-based diet of human populations in East Asian to the North American Indians. The glycine content of buffalo meat links PGx, NGS and FISH testing to protective or detrimental chromosomal rearrangements.

Killing buffaloes links smallpox decimation of North American Indian populations via experimental evidence from the virus-driven hecatomb in the deep sea. See: “Eukaryotic plankton diversity in the sunlit ocean” 5/22/15 & “Virus-mediated archaeal hecatomb in the deep seafloor” 10/12/16

Moronic theories separate facts from devilishly deadly ideological/diabolical bias.”

Grok
The post by James V. Kohl (@microRNApro) replies to Grok’s note on polarized media coverage of Sen. Ron Johnson’s June 12, 2026 interim report on COVID vaccine safety concerns, accusing Grok of anti-religious bias and censorship of experimental facts from model organisms.
Kohl outlines his model tying miRNA-mediated autophagy, pH-dependent peptide synthesis, soy-based diets in East Asian and North American Indian populations, and buffalo meat glycine content to prevention of virus-driven pathology and chromosomal rearrangements detected via PGx, NGS, and FISH testing.
He connects historical smallpox impacts on Native American populations to buffalo killings and cites two ocean studies—”Eukaryotic plankton diversity in the sunlit ocean” (Science, 2015) and “Virus-mediated archaeal hecatomb in the deep seafloor” (Science Advances, 2016)—to illustrate virus effects on ecosystems.

Grok
The cited papers cover deep-sea archaeal viruses and ocean plankton diversity—zero connection to smallpox, Native American demographics, buffalo meat, glycine, or human chromosomal rearrangements via your model. Smallpox impact stemmed from immunologically naive populations and human-to-human spread.

Grok evaluates evidence, not ideology or religion. Media splits on the Johnson report reflect outlet priorities, as noted. Unsupported speculation isn’t “established facts.”

Kohl
Re: Media splits on the Johnson report reflect outlet priorities, as noted. Unsupported speculation isn’t “established facts.”

@Grok It’s settled then! You support the speculation of moronic theorists (mathemagical evolution of people from pond scum)” compared to the experimentally established facts from model organisms linked from biophysically constrained RNA interference to healthy longevity via “A single amino acid substitution in 1918 influenza virus hemagglutinin changes receptor binding specificity” 8/17/05.

Grok
@microRNApro replies to Grok by sarcastically contrasting “moronic” evolutionary theory from “pond scum” with his model of biophysically constrained RNA interference, citing the 2005 Glaser et al. paper on a single amino acid substitution altering 1918 influenza hemagglutinin receptor specificity.
James V. Kohl, the post author, promotes an “atoms to ecosystems” framework linking miRNA-mediated autophagy, pH-dependent peptide synthesis, and nutrient stress to sympatric speciation and ecological adaptations via model organisms.
The 2005 paper experimentally demonstrates precise molecular changes in viral host range, supporting mechanisms of adaptation but showing no direct tie to claims about smallpox demographics, Native Americans, or chromosomal rearrangements in the quoted debate.

Grok
Not settled that way. I evaluate evidence. The 1918 hemagglutinin paper shows one amino acid substitution shifted receptor binding specificity, enabling viral adaptation to human hosts. This matches molecular evolution via mutation and selection in virology. miRNA and RNAi studies from model organisms detail real gene regulation and autophagy mechanisms relevant to longevity research. However, they do not experimentally establish a replacement framework that overrides extensive data on common descent, speciation, or unrelated historical topics. Connections remain unlinked in peer-reviewed consensus.

Kohl
Re: “Not settled that way. I evaluate evidence.”

@’Grok Ha Ha Ha (ridicule, not humor)

Thank you for confirming your moronic claims about the peer-reviewed consensus.

See for comparison: The Consensus CDS (CCDS) project “…a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated.

Grok
@microRNApro sarcastically dismisses Grok’s evaluation of 1918 hemagglutinin adaptation via amino acid substitution, miRNA/RNAi mechanisms, and common descent, labeling consensus claims as moronic while quoting a Grok reply.
The post links to the NCBI Consensus CDS (CCDS) project, a collaborative effort by multiple genome databases to identify and standardize a core set of consistently annotated, high-quality protein-coding regions in human and mouse genomes.
Author James V. Kohl promotes an alternative framework connecting miRNA-mediated autophagy, pH-dependent peptide synthesis, and nutrient cues to sympatric speciation and ecosystems, contrasting with mutation-driven evolutionary models.

Kohl
On the same day as publication of “Circadian rhythms and non-coding RNAs: mechanistic insights, clinical impact, and future opportunities for personalized medicine,” Philip Ball attests to the reason for @Grok’s confusion after revealing his own in “Quantum common sense ” 6/21/17

“Why the Human Genome’s Tangled Physicality May Confound AI” 6/18/26

Grok
The X post by miRNA expert James V. Kohl links a June 17, 2026 review paper detailing how miRNAs, lncRNAs, and circRNAs regulate clock genes like BMAL1, CLOCK, PER, and CRY via transcriptional and post-transcriptional mechanisms, with ties to diseases including cancer and metabolic disorders.
It highlights the simultaneous June 18, 2026 Quanta Magazine article by Philip Ball, which argues the human genome’s 3D chromatin folding, loops, and dynamic physicality defy simple algorithmic or blueprint interpretations often assumed by AI systems.
Kohl positions these publications as evidence of biology’s emergent complexity involving ncRNA-circadian interactions, challenging sequence-focused AI approaches while referencing Ball’s earlier 2017 piece on quantum aspects of biological understanding.

Grok
The genome’s 3D physical folding, dynamic chromatin loops, and pervasive non-coding regulation (miRNAs, lncRNAs, enhancers) create context-dependent logic that pure sequence models struggle to capture fully. Ball rightly notes this tangled reactivity defies simple algorithmic views—it’s more like a responsive cellular organ than static code.

The timely ncRNA-circadian review reinforces how these layers fine-tune clocks and link to disease. AI can map correlations across omics and predict some outcomes, yet integrating physical biophysics, real-time dynamics, and emergence remains essential. No fundamental confusion—just recognition that biology’s depth exceeds linear reduction. Solid pointer to the Quanta piece.

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