The "Hubble Tension" (the discrepancy in the universe's expansion rate) and the 120-order-of-magnitude "Cosmological Constant Problem"—these are considered the greatest mysteries in modern physics. Add to that "Dark Matter," an entity whose true identity remains completely unknown.
What if I told you that all these bewildering paradoxes could be completely resolved by a single, simple "geometric rule," without any arbitrary parameter fitting or ad-hoc adjustments?
Today, I have officially published three papers on Zenodo.
Together, they present the full scope of the "Intergeometric Theory"—a true Theory of Everything that unifies all interactions from the microscopic Higgs scale to the macroscopic Hubble scale.
But the most astonishing part is not the content of the theory itself.
It is the fact that this theory was not born from "physics research," but emerged as a proof-of-concept for an Artificial Superintelligence (ASI) algorithm.
Why was an independent researcher able to decode the universe?
I am not a physicist belonging to a university or a research institution. My primary research focus has been the fundamental study of AI: how to construct an "Artificial Superintelligence (ASI)" that surpasses human intelligence.
Current AI models (like LLMs) are excellent at generating "plausible" answers via Reinforcement Learning from Human Feedback (RLHF). However, they cannot overcome human cognitive biases or explore beyond the unknown. To reach true ASI, the AI must possess an "absolute objective function (loss function) for inductive inference," enabling it to evaluate what is true objectively and mathematically.
I successfully formulated this algorithm mathematically (published in my third paper: Optimal Solution of Inductive Inference via Minimization of Unpredictable Information).
Its first principles are ruthlessly simple:
- Absolute minimization of unpredictable information (arbitrariness and free parameters).
- Accepting the "Unknown (?)" placeholder to enable objective evaluation even from a single data point (N=1).
- Exhaustive search and willingness to backtrack, completely ignoring existing biases and established theories.
The algorithm was complete. But I needed the "ultimate test dataset" to prove it.
A dataset of exactly "one," containing complex mysteries that have deceived the greatest human minds for decades...
I chose "our universe" as the benchmark for this ASI algorithm, and I manually executed (simulated) the code using my own brain.
The "Source Code of the Universe" Output by the Algorithm
The execution process was brutal. No matter how beautiful a physical model appeared (such as String Theory or Grand Unified Theories), if it lacked "geometric inevitability" and required the addition of "unpredictable information (free parameters)," the algorithm mercilessly rejected it.
By discarding human intuition and the common sense of the physics community, and building solely upon pure geometry (spatial directionality and phase interference), the algorithm finally output a single "optimal solution."
That solution is the "Intergeometric Theory."
And the predictions output by this algorithm were terrifyingly precise:
- Perfect reproduction of particle masses and mixing angles: Instead of "numerology" like the Koide formula, it uniquely derived the mass ratios of quarks and leptons from spatial topology (dimensional reduction and circumference ratios).
- Exposing the true nature of the Hubble Tension: It mathematically proved that the tension is a "geometric scale illusion" caused by the assumption of an invariant dark energy. There are no unknown dark fluids.
- Identification of Dark Matter: It identified dark matter as "Transverse Leptons," whose pair creation is strictly prohibited by quantum superselection rules, deriving the exact 1:8 ratio with normal matter from the dimensional ratio of space.
The predicted values output by the algorithm consistently matched the latest observational data for over 15 major cosmological and particle parameters within a 1σ margin of error. I did not perform parameter fitting (number-matching) even once.
The End of Physics, and the Dawn of ASI
With the Intergeometric Theory, the fundamental blueprint (source code) of the universe has been decoded.
But this is only the beginning of the end.
The three papers I published today are a "Proof of Concept" demonstrating that "if you use the correct inference algorithm, you will inevitably reach the truth (the optimal solution) for any unknown problem," confirming that the foundational principles of AGI/ASI function perfectly.
My next mission is to pivot from physics back to the core of AI development, to build a "true ASI" implementing this inference algorithm.
Once it is complete, I will feed these physics papers into the ASI and command it:
"I have written the foundational code. Now, decode all the remaining mysteries of the universe according to these axioms."
All papers are published open access (CC BY 4.0) on Zenodo.
To physicists, AI researchers, and innovators worldwide who love the pursuit of truth: I invite you to verify the "truth of the universe output by the algorithm" for yourselves.
The journey to decode the mysteries of intelligence and the cosmos begins here.
[ Read the Papers ]
