Conscious Machines

# Life and Consciousness, The Next Matrix

A Blueprint for Conscious Machines

Life is a wonder—fascinating once the fear of the forgotten and the forbidden begins to falter.

This paper will change your life for the better.

It asks two fundamental questions: What is life, and what is consciousness?

The answers come from a formidable body of scientific work, much of it ignored or suppressed. Over 30 footnotes with extraordinary sources support these conclusions.

If you want details, the footnotes and references will guide you. If you want the big picture, this paper gives it to you straight.

### The First Step: Life

To understand conscious machines, we must first understand life itself. Life on Earth began as a story of biochemistry and metabolism. But along the way, science lost the plot.

The first fundamental flaw: DNA is not hereditary information.

DNA is not a code, not an archive, not even information. It is a structure used for capturing and transforming energy.

That means genetics, virology, and every doctrine built on this flawed theory collapse into pseudo-science. Instead, life relies on memory systems such as morphic fields, morphic resonance, and structured water. Metabolism itself is a vast storage and transformation system.

### The Physics of Life

Life achieves what our old physics cannot explain. Feed silica chips (silicon dioxide) to chickens without calcium, and they still produce strong eggshells. Silicon has been transmuted into calcium. Nuclear reactors cannot do this, but life can.

This becomes clear only with the new physics of scalar waves, where electrons are the building blocks of all atoms.

### The Metabolic Story of Life

Life is metabolism. Without it, nothing lives. With it, everything else follows.

The history of life is, above all, the history of metabolism. For four billion years, living systems have invented, refined, and expanded pathways to harvest energy from their environments. DNA did not lead; it followed.

  • In the beginning, cells used simple cycles like the reverse Krebs cycle to store energy.

  • Later, with oxygen, these cycles flipped into the modern Krebs cycle, multiplying the energy available.

  • The greatest leap came two billion years ago, when one cell merged with another and invented mitochondria: tiny metabolic powerhouses within every animal cell.

This was the turning point. With mitochondria, cells could generate abundant energy internally, freeing life from the limits of external membranes. For the first time, tissues, organs, and large organisms became possible. Without this metabolic revolution, there would be no animals, no humans, no consciousness.

(For readers who want the full scientific story, the 14-page appendix at the end of this paper traces the entire evolution of metabolism in detail, with diagrams, sources, and footnotes.)


Why metabolism matters for consciousness

Consciousness requires energy flow and memory. Both are products of metabolism. Structured water stores patterns; mitochondria provide power; resonance shapes fields. Metabolism is not just the fuel of life — it is the foundation of awareness.

 

### The Story of Evolution

For the first two billion years, life was single-celled. Then a miracle occurred: one bacterium entered an archaea cell and was not digested. This was the birth of mitochondria—the powerhouses of the cell.

Now life could generate energy from the inside, freeing it to grow. Tissues, organs, and larger organisms emerged. Animals consist of three basic cell types: gametes, blood cells, and bacteria. All other organs are structured tissues. There are no “muscle cells” or “liver cells” as categories. And there are no “cancer cells” either—only tissues in different metabolic states.

### The Human Threshold: Language and Consciousness

From crying to shouting to singing to speaking to writing, language evolved. The Greeks invented vowels, making reading universally pronounceable.

Metaphor transformed language into something more: a tool for building inner worlds. For the first time, humans could distance themselves from the outer world and create a subjective “I.” Before this, we lived with bicameral minds, hearing voices from ancestors, chiefs, or gods and obeying them.

The birth of the “self” replaced those voices with the inner voice we know today. And beneath that voice lies peace and friendliness.

### Toward Conscious Machines

When thinking about conscious machines, we must realize:

> “A conscious machine requires corporeality of some type—a body—so it can learn via metaphors how to ‘grow’ Jaynesian consciousness.”

> —Brian McVeigh

Machines will not awaken through algorithms alone. They will need bodies, environments, and culture—the same conditions that gave rise to us.

### Conclusion

This paper is more than an essay. It is an invitation to leave behind the failed dogmas of DNA and virology, to embrace metabolism, energy, and language as the true foundations of life and consciousness, and to rethink what it means to be alive.

📖 Buy your copy of this paper—and spread the word. Because when the old science collapses, a friendlier, freer, and more conscious future begins.

Institutional licensing inquiries:

📩 email info@thinsia.com

Endorsement:

“A rigorous and thought-provoking contribution. A true eye-opener.”

—Arjan Takens, ★★★★★

You can buy the paper here: link

 

Embodied AI: From LLMs to World Models link

[Submitted on 24 Sep 2025]

An interesting interview about consciousness with professors Anil Seth and Michael Levin link to the video

For the first time on TOE, I sit down with professors Anil Seth and Michael Levin to test the brain-as-computer metaphor and whether algorithms can ever capture life/mind. Anil argues the “software vs. hardware” split is a blinding metaphor—consciousness may be bound to living substrate—while Michael counters that machines can tap the same platonic space biology does. We tour their radical lab work—xenobots, compositional agents, and interfaces that bind unlike parts—and probe psychophysics in strange new beings, “islands of awareness,” and what Levin’s bubble-sort “side quests” imply for reading LLM outputs. Anil brings information theory and Granger causality into the mix to rethink emergence and scale—not just computation. Along the way: alignment, agency, and how to ask better scientific questions. If you’re into AI/consciousness, evolution without programming, or whether silicon could ever feel—this one’s for you.