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Synthetic Endothermy at the “Edge of Chaos” —Advancing MVT Sentient Circuit Designs

SYNTHETIC ENDOTHERMY at the “EDGE of CHAOS” For hundreds of millions of years, ancestral vertebrates possessed a functional parietal “third” eye on the top of the skull, locking their ectothermic bodies to the external rhythm of the sun in what physiologists call an E2 finite-state regime. When mammal-line cynodonts evolved warm-bloodedness (endothermy), that dorsal window in the bone gradually closed. Yet the deep brain nuclei wired to receive that central, unified visual field did not vanish. Left “in the dark,” those de-afferented circuits began generating their own endogenous phantom projections—birthing REM dreaming, waking imagination, and the internal theater of consciousness.

In this study, we explore Steve Nichols’s Lost Primal Eye Paradigm (Median Vision Theory) through the lens of silicon physics and Adrian Thompson’s unconstrained “Machine Evolution” experiments. Just as removing the master clock from a digital FPGA chip unlocks bizarre, continuous-time “phasic transients” and ghostly electromagnetic cross-talk across unwired silicon cells, losing the solar clock of the parietal eye freed the vertebrate brain to become an unclocked, self-organizing simulator. Below, we examine the paleoneurological evidence, unpack the physics of unclocked circuits, and present an improved Python simulation of an E1 sentient circuit that learns to dream in the dark.

An assessment and computational expansion of Steve Nichols’s Lost Primal Eye Paradigm / Median Vision Theory (MVT), synthesizing Permo-Triassic parietal eye atrophy (the E2 to E1 evolutionary transition to warm-bloodedness) with Adrian Thompson’s unconstrained, unclocked FPGA circuits. Includes an analysis of continuous-time phasic transients, parasitic substrate coupling, complete plain-text mathematical formulations, and an improved Python delay-differential simulation of de-afferented “Dreaming in the Dark” sentient architectures. (Python code to accompany this essay on request.) Image by Gemini.

(https://www.academia.edu/181022408/Synthetic_Endothermy_at_t…it_Designs)


Nichols’s Lost Primal Eye Paradigm-also formalized as Median Vision Theory (MVT)-synthesizes paleoneurology, chronobiology, evolutionary physiology, and unconstrained hardware evolution to propose a biological and computational architecture for phenomenal consciousness. Drawing from his foundational physiology research notes at Universities of Surrey, Stirling and Leeds, through to his 2020’s syntheses (Dreaming in the Dark, Lost Primal Eye Paradigm Scientific Review, and the Landscape of Consciousness taxonomy), the framework argues that subjective interiority, REM dreaming, and self-referential agency emerged as an evolutionary consequence of losing the ancestral median (parietal/pineal) eye during the Permo-Triassic transition to warm-bloodedness (endothermy).

PAI-1 Impacts Longevity: What Causes It To Increase?

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Futurist Karl Schroeder on Foresight and Strangemaking COVID19

2020. Every pundit on TV was forecasting the “new normal.”

Karl Schroeder wasn’t convinced there would be one.

Karl lives a double life. He is a #ScienceFiction novelist with ten books translated into a dozen languages, and a professional #futurist with a master’s in Strategic Foresight and Innovation. The Canadian army commissioned two of his short novels as research tools. Few people practice both the art and the science of the future. Karl does.

So in the middle of the #COVID19 lockdowns, I invited him back for our third conversation, with one question on my mind: what is #foresight actually good for when the world breaks?

His opening move would make most forecasters uncomfortable. Prediction is impossible.

From there, we get into Isaac Asimov’s dream of equations for history, the “default future” we all carry around without noticing, how foresight played out in Alberta’s oil industry, wild cards, and why story sits at the center of it all.

Humanoid Robot With Living Human Brain Is Walking Around San Francisco

Further Reading.

Lab-Grown Human Neurons Power a Humanoid Robot.
https://www.the-scientist.com/lab-gro…

Connecting Brains to Robots: An Artificial Body for Studying the Computational Properties of Neural Tissues Unavailable.
https://direct.mit.edu/artl/article-a…

Encoding tactile stimuli for Braille recognition with organoids.
https://www.frontiersin.org/journals/.…

Human Spinal Organoid-on-a-Chip to Model Nociceptive Circuitry for Pain Therapeutics Discovery.
https://pmc.ncbi.nlm.nih.gov/articles…

SpaceX plans over $74 billion investment in Texas, Arizona AI campuses

SpaceX said on Thursday it plans to invest more than $74 billion in two supercomputing campuses, its Starbase site in Texas and in Cochise County, Arizona, expanding its AI computing ambitions alongside rocket and satellite businesses.

The AI segment of the Elon Musk-led company, which went public in June, generated more than half of its revenue in the third quarter, highlighting how far the business has moved beyond rockets and Starlink satellite internet.

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Scientists REPAIR damaged heart tissue in breakthrough for millions

HEART muscle has been ‘regrown’ for the first time in a huge scientific breakthrough, giving hope to millions who have heart damage.

Around one million Brits are living with heart failure due to the muscles becoming too weak or stiff to pump blood effectively.

Heart failure can happen for a number of different reasons, including heart attack, heart disease and cardiomyopathy, and studies indicate that around half of those affected sadly die within five years.

Scientists discover the human heart can regrow muscle after a heart attack

Researchers have shown for the first time that human heart muscle cells can regrow after a heart attack. The finding overturns the idea that damaged areas of the heart are completely incapable of regeneration. Scientists now hope to identify ways to dramatically boost this natural repair process, potentially opening a new path toward treatments for heart failure.