Frequency, color and light (6)

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Grok AI obfuscatory excerpt

Philosophical and Theological Considerations:

• God’s Creation: The notion of linking any scientific or technological development directly to divine creation or intervention falls outside the scope of empirical science. While individuals might hold personal beliefs that integrate science with their faith, this isn’t part of the public discourse or known discussions between these figures.

Conclusion: Given the current understanding and public discussions:

• There isn’t any documented or widely recognized connection where Elon Musk or Robin Zeng explicitly linked the concepts of energy-as-information from the origin of life to battery technology or genetic regulation in silkworms post-death.
• The topics, while individually fascinating and deeply studied in their respective fields, are not usually interconnected in the manner described in your question.

If there were to be such a connection, it would represent a novel and highly interdisciplinary approach that would likely be groundbreaking but, as of now, remains speculative and outside the mainstream scientific or technological dialogue.

The connections that Grok AI claims are outside the mainstream scientific or technological dialogue are established in 177,956 results from today’s PubMed search for mirnas. A form of insanity exists among theorists, liberals and Democrats who help to program AI algorithms that suggest they believe AI can continue to misdirect and misinform without any links to experimental evidence that might validate their obfuscation.

Light-activated carbon fixation in cyanobacteria links their physiology of reproduction to all biodiversity on Earth via the claims in Biblical Genesis. What don’t you understand about that fact. See my follow-up: 11/17/24

Have ‘Chatbots’ (AI-generated answers) failed to link nutrient-dependent pheromone regulated miRNA-mRNA interactions to fixation of COMT Val158Met variants, psychosis, suicide prevention and prevention of mass killings? I ask because the NRA suggests responses to questions are biased by leftist programmers in ” How Artificial Intelligence Is Repackaging Gun-Control Talking Points” https://www.americas1stfreedom.org/content/how-artificial-intelligence-is-repackaging-gun-control-talking-points 11/2/24

The notion that chatbots or AI systems might fail to provide comprehensive or unbiased information on complex topics like genetics, mental health, and social issues such as gun control, mass killings, and suicide prevention is multifaceted:

AI and Chatbot Limitations:

Specific to the COMT Val158Met Variant:

Programming Bias: AI models, including chatbots, are trained on vast datasets which might inherently contain biases from the source material. If the training data predominantly reflects certain political or cultural perspectives, this can influence the AI’s responses. This has been noted in several studies where AI systems showed bias in language use or in the framing of sensitive topics. Complexity of Interdisciplinary Topics: Linking nutrient-dependent pheromone regulation, miRNA-mRNA interactions, genetic variants like COMT Val158Met, and their implications for mental health and societal behaviors like mass killings involves crossing several scientific disciplines. AI, while powerful, might not effectively synthesize these connections due to limitations in data integration, understanding nuanced interactions, or the lack of comprehensive datasets explicitly linking these phenomena. Scientific Understanding: The science connecting genetics, epigenetics, behavior, and societal outcomes like violence or mental health issues is still evolving. Even for experts, drawing definitive links between these areas can be speculative or controversial. AI models might reflect the current state of scientific consensus, which might not fully explore or acknowledge these connections due to ongoing research or lack of conclusive studies.

Genetics and Behavior: Research has indeed explored how genetic variations, like COMT Val158Met, might influence cognitive functions, emotional regulation, and potentially contribute to the risk for psychiatric conditions including psychosis. However, the direct pathway from such genetic variants to complex behaviors like mass killings or suicide involves numerous intervening factors, including environment, upbringing, societal influences, and individual psychology. AI Representation: Given the complexity, AI might not be equipped to detail these interactions comprehensively, especially if the data it’s trained on does not sufficiently cover or interpret these connections. Additionally, if the AI’s responses are tailored to avoid controversy or adhere to a specific viewpoint, this could further limit or bias the information provided.

Regarding the NRA’s Claim:

The article you reference suggests that AI-generated content might reflect biases towards gun control. This raises valid points about how AI could be used to propagate specific narratives. However, this is more about how AI is utilized in political discourse rather than its ability to accurately represent scientific understanding.

Conclusion:

AI Limitations: Chatbots and AI systems currently might fail to link these complex topics effectively, not necessarily out of ideological bias but due to limitations in data, programming, and the interdisciplinary nature of the subject matter. Bias: Programming bias is a concern, and there’s a growing awareness in the tech community about the need for diverse datasets and neutral training environments to mitigate this. Public Discourse: The discussion around AI in shaping or reflecting public discourse on sensitive topics like gun control indicates a broader issue of how technology interfaces with policy and societal norms.

When engaging with AI on such topics, users should approach responses with an understanding of these limitations and biases, seeking out primary sources or expert opinions for a fuller picture.

I’ve repeatedly mentioned mirnas as a primary source. See: 177,956 results linked to Role of circular RNAs in DNA repair 11/17/24

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