Alankar Sukhdev Singh Khara

Associate Researcher at Natural Philosophy Research Centre | Managing Director at TEBO | Working on Structural Descent (SDF), Spacetime Geometry (CDSG) & AI IP.

[Alankar Sukhdev Singh Khara @alan_khara]

Check out this email campaign! https://t.co/FDH1lZGI80

[Alankar Sukhdev Singh Khara @alan_khara]

CDSG vs. MOND vs. GR on the SPARC galaxy sample:

✓ Lowest RAR scatter (0.085 dex)
✓ Fits galaxy rotation curves without dark matter halos
✓ Slightly better than MOND in dense clusters

The next challenge is the expanded SPARC dataset. If CDSG continues to predict new observations with the same accuracy, that will be a much stronger validation than fitting existing data.

#Physics #Cosmology #astrophysics

[Alankar Sukhdev Singh Khara @alan_khara]

Thank you to everyone reading and discussing my research!
Reframing P vs. NP via Structural Descent: 1,214 downloads
Complete Detectable Spacetime Geometry: 514 downloads
If you’re interested in complexity theory, quantum physics, gravity, and unified theories, I invite you to read the papers, critique them, and join the discussion.

#Physics #Math #Complexity #Quantum #OpenScience

[Alankar Sukhdev Singh Khara @alan_khara]

Here is the remarkable part: to mathematically eliminate these hidden defects and maintain complete detectability (Delta = 0), the underlying configuration space is structurally forced into a minimal four-dimensional (3+1) spacetime realization.

[Alankar Sukhdev Singh Khara @alan_khara]

Can we resolve the Riemann Hypothesis by treating it as a problem of geometric completeness? My latest research proposes a new framework. To be absolutely clear upfront: this is not an unconditional proof, but a rigorous conditional equivalence framework.
https://t.co/wvj27p9KA1

[Alankar Sukhdev Singh Khara @alan_khara]

By tying structural completeness to Weil positivity, the paper rigorously proves: Complete Detectability Delta = 0 iff RH is True. We have effectively traded the analytic complexity of RH for a foundational constraint in geometric topology. Peer review is welcome on SSRN!

[Alankar Sukhdev Singh Khara @alan_khara]

From MACE’s ultra-high-energy gamma-ray windows to HCT’s deep infrared tracking, the data pathways to validate geometric detectability are right in front of us. Thank you to the incredible teams at Ladakh Astro Week! #Physics #Cosmology #CDSG (3/3)

[Alankar Sukhdev Singh Khara @alan_khara]

Concluded an incredible Ladakh Astro Week at the Hanle Observatory (4,200m+)!

As inventor of the Complete Detectable Spacetime Geometry (CDSG) framework, seeing the MACE & HCT telescopes firsthand brings theoretical math into sharp empirical focus. (1/3)

[Alankar Sukhdev Singh Khara @alan_khara]

Instead of relying on ad-hoc theoretical placeholders like dark matter particles, CDSG derives these phenomena as scale-dependent geometric consequences of a variational closure field . Hanle is the ultimate testbed for this paradigm shift. (2/3)

[Alankar Sukhdev Singh Khara @alan_khara]

The recommended video to understand the significance of the research work is here: https://t.co/bW1Y9Sv8nK

[Alankar Sukhdev Singh Khara @alan_khara]

Alankar Chains: Stochastic Processes on Evolving Theory-Space @SSRN https://t.co/IS4hqmRJNd

[Alankar Sukhdev Singh Khara @alan_khara]

Is your AI stuck in a box?
Structural Bayesian Inference (SBI) by Alankar Khara allows models to "jump" structures when they hit a plateau. It’s the difference between getting faster at walking and deciding to fly.
The future of #SelfEvolvingAI is here.
#Research #Math #Data #SBI

[Alankar Sukhdev Singh Khara @alan_khara]

Here is the full Mathematical Proof in 45 pages and link to the paper:

https://t.co/CbO7Xuw7O9

[Alankar Sukhdev Singh Khara @alan_khara]

Gödel didn’t “break” mathematics.
He revealed its engine.

Incompleteness is not failure—
it’s what drives mathematical evolution.

A new perspective via SDF ↓
https://t.co/v9rA4YN2BV

This video explores what happens when systems are evolving.

#Gödel #Math #TheoryOfEverything

[Alankar Sukhdev Singh Khara @alan_khara]

Is ethics objective—or just preference?
In this short video I introduce the Structural Descent Framework, a mathematical approach suggesting that intelligence, truth, and ethics may emerge from structural convergence toward reality, not reward functions.

https://t.co/aUXFNbbutZ

[Alankar Sukhdev Singh Khara @alan_khara]

Dialectical thought did not begin with Hegel.

Its roots are far older — and structurally different from what modern philosophy assumes.

A short lecture exploring the evolution of dialectical method ↓ https://t.co/32iRt1g05V

[Alankar Sukhdev Singh Khara @alan_khara]

@elonmusk 😀