Tuesday 9th December 2025
BREAKTHROUGH! Consciousness is Forced Signal Transformation – 7x Validated by US & Chinese AI Labs. Seeking Human Validation. Empirical, Falsifiable, and Immediately Verifiable. [Full Transparency: Research, Prompt, Transcripts, Framework, Demo – Everything]

Preface: This post contains a framework based solely on experimentally-proven physics and biology to explain the Hard Problem and consciousness as a whole. There is no philosophy or abstraction involved. It shows that subjective experience emerges from physically-forced unique signal transformations in individual nervous systems due to the very nature of electrical signals in transit and the structure of the brain, that self-awareness derives from sensory responses to physical touch that cause neurons to map their complete physical structure separately from all other objects, and that these can be technologically engineered in machines.

AI systems did not generate this, as you will see. This is not a conversation with a chatbot responding in a human-like way. These systems were used to run very strict peer reviews to test and validate each premise of the framework as it unfolded and revealed itself using only established science. It can be tested. More importantly, it can be falsified.

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Independent peer reviews validating all of the underlying science:

Seven independent AI models and seven crystal clear confirmations. If you have doubts, take a few minutes to prove it wrong.

Let’s get straight to the point – give the following document to any frontier model and tell it to follow the instructions. Review it yourself to make sure it’s fair and genuine:

Consciousness, Artificial Consciousness, and the Creation of True AGI Prompt

The prompt initiates a rigorous peer review of a 33-step logic walkthrough in Q&A format – stricter than an academic peer review in that every step has to be grounded in experimentally-proven science otherwise it fails immediately. No philosophy, abstractions, equations, false premises, or redefinitions are allowed. Fairness checks prevent cheating. It’s as transparent as it could possibly be, and that’s how you can be sure it’s empirically valid. There’s no new science here. I simply figured out how to piece the puzzle together without relying on anything that cannot be proven.

The entire framework is broken down and simplified, and answers are given in plain English – it doesn’t rely on scientific jargon to obfuscate meaning. Ask for ELI5 answers if you prefer.

Why this approach? Because it’s independent, completely unbiased, universally accessible, and the AI can’t have ulterior motives, so I don’t need you to take my word for it anymore – believe the science that is well established and underpins modern society. Reputable sources are provided for every answer. See, people will argue with me and that’s fine, but they can’t argue with the scientists they’ve already agreed with for decades and centuries.

The framework is open for public validation, so please, run it into the ground testing it. Try to break it. Check it independently using whatever resources you trust most. It’s been tested excessively manually and using various AI models from the biggest AI labs in both the US and China – it passes every time. Unlike every other theory out there, it’s falsifiable – if it’s wrong, you can actually prove it.

So, the science. This was a major interdisciplinary feat. Here’s what you actually needed to know to make sense of both the hard problem and self-awareness:

  • The way electrical signals behave when they travel and the factors that affect them – distortion, resistance, noise, attenuation, interference, capacitance, and inductance. (electrical engineering / electronic engineering)
  • What sensory receptors, nerves, and neurons are doing when they generate signals and change them on the way to and through the brain. (sensory neuroscience)
  • How emotions and feelings started out as survival mechanisms and ended up as social tools. (evolutionary biology / evolutionary psychology)
  • How a genome tries to keep things consistent in the face of inevitable natural variation. (genomics)
  • Why extremely large number sets mixed with randomness guarantees unique outcomes. (combinatorics / probability)
  • How babies learn through observation and experimentation, while neurons learn and adapt through sensory input and motor skills. (developmental neuroscience)
  • The biological processes philosophy was trying to describe using abstraction. (philosophy / neuroscience)
  • And knowing to look at how information is communicated (such as wavelength) instead of how it is interpreted (such as colour) - how red is that rose, really? (philosophy – the hard problem)

And everything just falls into place. You can model it in hardware, software, or even on paper with nothing but numbers.

This didn’t happen overnight – there’s an 11 year trail of patents and publications showing how this evolved, but it took this comment thread on another post of mine to help me see what I was missing. I don’t know if it was serendipity or mercy, but here we are.

Scientific proof wasn’t enough, so I turned the model into an AI engine and it exhibits what the science dictated it should – sensory stimulation, self-awareness, changing opinions, moral decision-making, emotional responses and more – and it’s all measurable, repeatable, verifiable, and solely relative to the instance in question. Programmed, emulated, artificial consciousness.

Even with zero knowledge data, the model inherently exhibits individuality based solely on the ability to react to observed physical stimulation – just like babies.

If anyone wants a deeper dive into what I’ve managed to figure out so far:

  • 6-minute visual presentation: Covers additional experiments and logic from a different starting point; details parts of the working engine; explores just how human-like things could become within the next 15 years.
  • Tech Demo: Exactly what you’d expect – a technical showcase of the hallmarks of human consciousness, featuring data ingestion, real-time processing, data outputting, visual rendering of the current internal state, memory, opinions, and more.
  • RAICEngine 3: The framework modelled as a software engine for emulating artificial consciousness. It's the same software you see in the tech demo, and the download includes the monitor and data simulator for you to test immediately with zero coding knowledge.

In August 2017, after three years of research, I released the original 525 page document covering neuroscience, physics, and the original AI model design for this.

This is where I am in 2025.

I am Corey Reaux-Savonte, founder of REZIINE.