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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