tfpt  by sthamann

Machine-checked discrete compiler for fundamental physics

Created 4 months ago
722 stars

Top 46.8% on SourcePulse

GitHubView on GitHub
Project Summary
TFPT addresses the challenge of reconstructing fundamental physics structures from minimal axioms. It offers a falsifiable, machine-checked framework and parameter-free compiler for the dimensionless skeleton of particle physics, gravity, and cosmology, targeting physicists and mathematicians seeking rigorous, verifiable models [0, 1].

**How It Works**

This project reconstructs major dimensionless structures of fundamental physics from two axioms: `a = (1, 1, 2)` and `π`. It functions as a candidate parameter-free compiler, employing three independent verification engines (Python, Wolfram, Lean) to ensure the integrity of its 23 frozen, falsifiable predictions. The approach prioritizes machine-checked derivations and transparent tracking of claim status [0, 1].

**Quick Start & Requirements**

Installation involves cloning the repository and installing Python dependencies:
```bash
git clone https://github.com/sthamann/tfpt && cd tfpt
pip install -r requirements.txt
./verify # ~1s for core claim
./verify --full # ~4min for Python suite

Docker is available: docker run --rm ghcr.io/sthamann/tfpt:latest . Full verification requires Wolfram and Lean. Key resources include an introductory video explaining TFPT in 5 minutes [1]. Theory documentation is available at docs/THEORY.md, verification details at docs/VERIFICATION.md, and falsification criteria at docs/FALSIFICATION.md. The official project website offers a compiler walkthrough and an in-browser reproducer [0]. An archived deposit (v5.3) provides a stable reference [2].

Highlighted Details

  • A machine-checked framework deriving physics from a = (1, 1, 2) and π.
  • 23 frozen, falsifiable predictions with a versioned status ledger.
  • Three independent verification engines: Python, Wolfram, and Lean.
  • Specific claims include E8 closure, N_fam=3, and a fine-structure constant value (α⁻¹ ≈ 137.0359992, 1.9σ from CODATA-2022) [0, 1, 2].

Maintenance & Community

The repository is positioned as a scientific discussion space with structured issue templates for contributions like reproduction, falsification, or claim challenges. Notable contributors include Stefan Hamann and Alessandro Rizzo [2].

Licensing & Compatibility

The specific open-source license is not explicitly stated in the provided README text. No compatibility notes for commercial use or closed-source linking are present.

Limitations & Caveats

Three core interface problems remain open: v_geo (metrology unit), G_net (metric-sector inclusion), and F_transfer (functor interfaces) [0, 1]. The project does not claim a complete Theory of Everything, with aspects like parameter-free gravity and the SEAM.EQUIV.01 status listed as open. The framework is designed to be falsified by experimental data [0, 1, 2].

Health Check
Last Commit

3 days ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
0 stars in the last 30 days

Explore Similar Projects

Starred by Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems"), Didier Lopes Didier Lopes(Founder of OpenBB), and
2 more.

RULER by NVIDIA

0%
2k
Evaluation suite for long-context language models research paper
Created 2 years ago
Updated 1 month ago
Starred by Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems"), Vincent Weisser Vincent Weisser(Cofounder of Prime Intellect), and
3 more.

DeepSeek-Math-V2 by deepseek-ai

0%
2k
LLM for self-verifiable mathematical reasoning
Created 9 months ago
Updated 8 months ago
Starred by Didier Lopes Didier Lopes(Founder of OpenBB), Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems"), and
3 more.

DeepSeek-Coder-V2 by deepseek-ai

0%
7k
Open-source code language model comparable to GPT4-Turbo
Created 2 years ago
Updated 9 months ago
Feedback? Help us improve.