One Algorithm. One Universe.
How can AI surpass human cognitive limits to reach Artificial Superintelligence (ASI)? The answer lies in an objective inductive inference algorithm that operates completely independent of human bias.
To prove the validity of this mathematical framework, we applied it to the ultimate test dataset: our universe (N=1). The output generated by this algorithm is the "Intergeometric Theory"—a true Theory of Everything that derives over 30 fundamental parameters of physics with 1σ accuracy, without any ad-hoc fitting.
Dual Breakthroughs in AI and Physics
A single algorithm bridging the foundations of intelligence and the laws of the universe.
Foundation of ASI
Replaces arbitrary Bayesian priors with the "Unknown (?)" placeholder. Defines the optimal solution of inductive inference as the "Minimization of Total Unpredictable Information." A parameter-free evaluation function designed for ASI's rational reasoning.
The Intergeometric Theory
Unifies all fundamental forces as geometric phase interference. Geometrically resolves the 120-order cosmological constant problem and the Hubble tension (Scale Illusion), identifying Dark Matter as "Transverse Leptons."
The Output: Predictions Matching Observations
The results of applying the ASI inference algorithm to Standard Model and cosmological parameters. All values, from the Hubble constant to the baryon density, are derived purely from geometric first principles without any free parameters, consistently aligning with the latest observational data within a 1σ margin.
Read the Foundation and the Proof
Why was this possible?
How did an independent researcher derive the ultimate blueprint of the universe without any parameter fitting? The secret lies not in physics, but in an AGI (Artificial General Intelligence) algorithm.