Moronic Artificial Intelligence (8)

By: James V. Kohl | Published on: November 11, 2024

Rare-event sampling analysis uncovers the fitness landscape of the genetic code 4/17/23

“…genetic algorithm analysis revealed that evolution under such a multi-peaked fitness landscape could be strongly biased toward a narrow peak, in an evolutionary path-dependent manner.”

My summary: Genetic algorithm analysis linked a circular argument from an evolutionary path to evolution.

If this is the best you can expect from algorithms, why trust the GROK AI algorithms @microRNApro? They favor moronic theories by questioning whether there is support for the facts I have detailed in publications and presentations during the past 32 years. For comparison to the theories, see:

Evaluating the roles of food matrix, lipid micronutrients and bioactives in controlling postprandial hypertriglyceridaemia and inflammation 11/7/24, Automated real-world data integration improves cancer outcome prediction 11/6/24, and Controlled therapeutic cholesterol delivery to cells for the proliferation and differentiation of keratinocytes 10/28/24. All three articles link food energy to biophysically constrained virus-driven pathology via miRNA abundance in model organisms. No theories are needed to do this.

See also: Automated real-world data integration improves cancer outcome prediction 11/6/24, Stochastic neuropeptide signals compete to calibrate the rate of satiation 11/6/24 and A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now 11/6/24

Improved outcomes are linked to miRNA abundance at every level of investigation across kingdoms by data from the VA’s Million Veteran Program, because the data is based on obvious links to food energy, not circular theories of evolution linked to evolution.


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