The results of this test suggest the universe might use a 128-bit integer architecture.
1. HYPOTHESIS
• The proton is defined at the 64-bit integer limit (2^64).
• Gravity is defined at the 128-bit integer limit (2^128).
If this is true, the gravitational coupling constant (alpha_G) should be the least significant bit (LSB) of this structure (2^-127) (1), modulated by the same geometric cost factor found in the proton mass (1 + alpha / 3) (2).
(1) The model derives G from the proton mass scaling, resulting in a factor of 2 / 2^128, which simplifies to 2^-127.
(2) The term (1 + alpha / 3) is the geometric interaction cost derived for the proton mass in the holographic model.
2. FORMULA
alpha_G_model = (1 + alpha / 3)^2 / 2^127
3. DATA (CODATA 2022) mp = 1.67262192e-27 kg (proton mass)
hbar = 1.05457181e-34 J s
c = 299792458 m/s
G_exp = 6.67430e-11 (experimental G)
alpha = 7.29735256e-3 (fine-structure constant)
4. VERIFICATIONStandard experimental coupling from G_exp:
alpha_G_exp = (G_exp * mp^2) / (hbar * c)
Value: 5.906063e-39
Prediction using ONLY alpha and powers of 2 (no G, no mass): alpha_G_model = (1 + 0.00729735256 / 3)^2 * 2^-127
2^-127 (raw LSB) ≈ 5.877471e-39
Correction factor ≈ 1.004870
alpha_G_model ≈ 5.906099e-39
5. RESULTS Experimental: 5.906063e-39
Predicted: 5.906099e-39
Delta: 3.6e-44
Discrepancy: 6 ppm
6. PYTHON # Constants (CODATA 2022)
mp = 1.67262192e-27
hbar = 1.05457181e-34
c = 299792458
G = 6.67430e-11
alpha = 7.29735256e-3
# 1. Experimental coupling
alpha_G_exp = (G * mp**2) / (hbar * c)
# 2. 128-bit Model Prediction
alpha_G_model = ((1 + alpha/3)**2) * (2**-127)
# Comparison
ppm = abs(alpha_G_model - alpha_G_exp) / alpha_G_exp * 1e6
print(f"Exp: {alpha_G_exp:.6e}")
print(f"Model: {alpha_G_model:.6e}")
print(f"Diff: {ppm:.2f} ppm")
7. QUESTIONIn your opinion, is this a numerological coincidence, or is it rather a structural feature?
Preprint: https://doi.org/10.5281/zenodo.17847770
fjfaase•1mo ago
albert_roca•1mo ago
fjfaase•1mo ago
albert_roca•1mo ago
Please note that the model is being developed with IA assistance, and I realize that the onthological base needs further refinement.
The proton mass (m_p) is derived as:
G is derived as: α_G is derived as: The terms (1 + α / 3) and 4^64 appear in the three derivations. All of them show the same discrepancy from the experimental value (8 ppm). (Note: There is a typo in the expected output of the previous Python script; it should yield a discrepancy of 8.39 ppm, not 6 ppm.)The model also derives α as:
Is it statistically plausible that this happens by chance? Are there any hidden tricks? AI will find a possible conceptualization for (almost) anything, but I'm trying to get an informed human point of view.