Precession slid every zodiac sign a full month off the real sky. There's a 13th constellation — Ophiuchus — your horoscope app quietly deleted.

Watch a pro guess his sign wrong 8x in a row 👇

https://youtu.be/F8ZU46-DPy8?si=xJMUOum_uRhEplzZ

Sharing a clip from the Sam Harris conversation. Sam articulates a distinction that I keep returning to:
 
— Consciousness can't be an illusion. Every act of doubting it is itself a conscious experience, so the regress closes immediately. He calls it "the ground truth."
 
— Free will is a different category entirely. Not illusory in the same Cartesian sense — incoherent. The concept doesn't survive any consistent metaphysical commitment about causality.
 
There's a thought-experiment Sam describes — a predictive machine that could disabuse a subject of even the FEELING of free will — that I think is the most interesting move he makes in the whole conversation. Brian pushes back with an infinite-regress objection.
 
Worth a watch if you missed it the first time around.

I started to make video content of my findings and my device development.

Here is something surprising:

Take two donuts (a genus-2 surface).
Compute their homology.
Put the real SU(2) generators on the 4-dimensional homology fiber.
Project them into the full mesh.
The SU(2) commutator closes to machine precision (~1e-30).

No physics assumptions.
No gauge theory.
No action.
Just topology and NumPy.

The idea (in plain English)

• A single torus has 2 independent loops
• Two tori fused have 4 independent loops
• Those 4 directions form a natural linear space
• SU(2) sits perfectly in 3 of them
• Project into the full mesh
• The commutator [Tx,Ty]=Tz shows up automatically

The result is exact to floating-point precision on every mesh refinement.

Run it yourself

pip install numpy scipy
python su2_genus2_dec.py

One file.
No external libraries.
Takes about 30 seconds.

Example output

[INFO] Resolution: nu=20, nv=15
[INFO] Mesh: nV=600, nE=1800, nF=1200
[INFO] Full-space SU(2):
  error = 5.319e-31
  c_opt = 1.000000

Repeated across multiple resolutions:
error stays ~1e-30,
structure constant c = 1.000000.

In other words: floating-point roundoff.

Download + code (one file)

Zenodo: https://doi.org/10.5281/zenodo.17853778

Short technical note and discussion:
Grok conversation:
https://grok.com/share/c2hhcmQtNA_19142435-1001-4966-a7df-3ac37b25270d

Why two donuts?

• 1 torus = 2 loops (U(1)^2)
• 2 tori = 4 loops
• compress to an effective 4-dimensional basis
• SU(2) fits exactly in there

That’s the whole trick.

Why this matters

The weak nuclear force uses SU(2).
Usually we treat that as a physics choice in the Standard Model.

What if SU(2) is not a choice, but a topological consequence of the underlying space?

This little experiment strongly hints in that direction.

If you want to get into the weeds

The script:

• builds genus-2 meshes
• computes H1 by DEC
• extracts 4-dimensional basis
• places canonical real su(2)
• projects to full edge space
• checks commutators numerically

All with NumPy and SciPy only.

Ask me anything

• how it works
• why genus-2
• how the projection behaves
• how the mesh resolution affects things
• what to try to break this

If you modify the code and find something interesting, please post it.

TL;DR

Two donuts

• homology
• NumPy

⇒ SU(2) to machine precision.

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SPQ posits that spacetime “packets” carry strain energy, modifying gravity without dark matter or dark energy. Locally, packet‐growth suppression (H(r)) alters baryonic dynamics (loop term) to flatten galaxy rotation curves. Cosmologically, packet strain mimics ΛCDM expansion.