Conscious Machines

THINSIA RESEARCH www.thinsia.com/life

Life and Consciousness, The Next Matrix, a blueprint for conscious machines

Artificial Intelligence (AI) tries to reach Artificial General Intelligence (AGI). It seems that Large Language Models (LLMs)

are not sufficient to reach that goal.

A possible solution is an AI that learns by watching video and understanding physical reality, not just predicting words.

This approach uses JEPA (Joint Embedding Predictive Architecture), which lets AI build internal simulations of how the world works.

This approach is different: give AI a kind of “body” so that it can learn human consciousness.

Proposal: make a computer system where all processes of a living human being are being simulated,

every process in its own virtual machine (VM)

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Intermezzo what is a virtual machine

A virtual machine (VM) is a software-based, or virtual, version of a physical computer that runs on a host computer, using its resources like CPU and memory. It operates as a separate, isolated system with its own operating system and applications, allowing multiple VMs to run on a single physical machine

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As soon as all processes are simulated, this computer system, call it Hubot, can start to learn language and human consciousness.

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Intermezzo what is human consciousness

Panpsychism is the philosophical view that consciousness or a mind-like quality is a fundamental and universal feature of reality, meaning it exists in all matter, not just complex brains.

Conscious interiority is the philosophical concept of a mental space where consciousness, thoughts, and feelings reside.

It is your “inner voice” and it speaks with language.

Conscious interiority a a cultural phenomenon, made possible by the metaphorical properties of language.

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When human beings evolved, they started to shout, sing, speak and write. As language evolved, a language “space” came into existence, the space where your inner voice is speaking.

Our Hubot can learn to do the same!

To be able to make such a Hubot, we have to understand life and human consciousness. That is this paper about.

who is this paper interesting for

  • AI developers and investors; the paper offers a paradigm shift in AGI development

  • People interested in “the new biology”; metabolism is the key to life, not DNA, your heart gives a vortex movement to the blood, it is not a pump

  • People interested in “the new physics;” scalar waves make electrons, electrons make atoms

  • People interested in how life and human consciousness came into existence, a fascinating journey

  • People interested in philosophy, consciousness and human consciousness; human conscious, also called conscious interiority, is a cultural phenomenon made possible by the metaphorical nature of language

  • People interested in (para)psychology; clairvoyance, telepathy and synchronicity can be understood with morphic fields, a memory system used by life forms for heredity information

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Abstract

This paper tells how life came into existence and how human consciousness came into existence.

Conclusion: For a machine to become conscious, it must first simulate life, allowing it to grow human-like consciousness.

Artificial Intelligence (AI) is evolving toward Artificial General Intelligence (AGI), using Large Language Models (LLMs). Chatbots like Grok and ChatGPT can answer questions and assist with coding.

The Problem: Current LLMs are primarily text-based and struggle with non-text-based tasks.

The Goal: To develop AIs and AGIs capable of solving also non-text-based problems. Existing LLM”s lack creativity.

The Hope: Developers and investors are anticipating a paradigm shift.

The paradigm shift:

1. Conscious machines require a form of embodiment.
2. Humanity must recognize that human consciousness, or conscious interiority, is a cultural phenomenon rooted in the metaphorical nature of language.

Once a machine is able to simulate all life processes, it can begin to develop human-like consciousness.

Life itself relies on local memory systems, such as structured water in metabolism, and external memory systems, such as morphic fields. Before such natural connections can be established, these memory systems can be simulated through local databases.

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The story of life is the story of metabolism

The story of human life is the story of metabolism plus the story of human consciousness

Before you can simulate life and let it learn human consciousness you have to know how life and human consciousness came into existence, that is what this paper is about

An octopus has three hearts and nine brains, so it cannot be selfish and hence it is very curious

May you become as curious as the octopus!

An octopus is a shellles not-selfish shellfish

This paper will change how you think about life, consciousness, and a possible AGI.

What is life? What is consciousness? How did they come into existence?
Why have physics, biology, and medicine stopped asking the real questions?

You’ll explore:

⚡how life came into existence, how human consciousness came into existence

🧬 Why DNA is not a storage system for hereditary information

⚡ How metabolism, scalar waves, structured water and morphic fields hold the true memory of life

Metabolism: Nick Lane; scalar waves: Konstantin Meyl; structured water: Gerald H. Pollack, Tom Cowan, Stefan Lanka; morphic fields: Rupert Sheldrake

🌍 How a single symbiotic event created mitochondria and multicellular life

🧠 How language and metaphor gave rise to human consciousness, from shouting to singing to speaking to writing. From “the other” to an “I”, a “self”

🤖 Why conscious machines need embodiment—a “body” to grow human consciousness

The first appendix on the evolution of metabolism shows how metabolism, not genes, is the foundation of life. From proto-cells to human consciousness, the story unfolds as one seamless movement—life learning to know itself. (Nick Lane, Transformer)

The second appendix shows part of the foreword of Julian Jaynes” The Origin of Consciousness in the Breakdown of the Bicameral Mind”

The footnotes provide extensive study material

An introduction to the new biology, the new physics and an exploration of a refreshing thinking about human consciousness.

📘 Essential reading for anyone working in AI, robotics, or the philosophy of mind.
Because as the old science collapses, a freer, friendlier, and more conscious future begins.

“A rigorous and thought-provoking contribution. A true eye-opener.”
Arjan Takens, ★★★★★

Licensing: Educational & corporate versions available upon request. email info@thinsia.com

Roland Sassen

sassen@thinsia.com

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.