Introducing TMT-Net: A Python core built on the physics of Black Holes.

Роман — Thu, 14 May 2026 14:01:02 +0000

Hello DEV Community! 👋

I want to share a conceptual project I’ve been working on. It’s called TMT-Net (Transaction Metric Theory), and it’s a completely alternative approach to code execution and logic structures.

Instead of building another standard neural network or AI wrapper, I decided to experiment with a core that doesn't learn from external data — it operates directly on the fundamental laws of physics.

🧭 What is TMT-Net?

The core principle is simple but radical: Time = Action ($t \mathrel{+}= A$). Time inside the system only flows when an actual transaction occurs.

I’ve mapped physical and cosmological phenomena directly into Python logic:

The Event Horizon & Hawking Radiation: Simulating data collapse and quantum-like emissions when system thresholds are overloaded.
Future Attraction (Gravity): A goal-seeking mechanic where the system slows down and sharpens its precision as it gets closer to the objective.
Homeostasis (Nirvana): Achieving a perfect balance of execution accuracy and system load (Homeostasis = 1.0).

📜 The Core Laws of TMT-Net

The architecture is strictly driven by physical and cosmological laws. Here are some key principles mapped into the code:

Law 0: Time = Action ($t \mathrel{+}= A$) — Time inside the system only flows when an actual transaction occurs.
Law 4 & 5: Event Horizon & Hawking Radiation — When system thresholds are overloaded, a data collapse occurs ($time = 0$), emitting quantum-like noise.
Law 6: Future Attraction (Gravity) — A goal-seeking mechanic where $gravity = 1/(distance + \varepsilon)$. If there is no objective, gravity drops to zero.
Law 8: Homeostasis (Nirvana) — Achieving a perfect balance of execution accuracy and system load ($Homeostasis = 1.0$).
Law 10: Conductivity — $Resistance = 1 / Understanding$. Full understanding leads to superconductivity (action without friction).

🌌 Explaining Reality via TMT

We also map universal phenomena into software logic:

Déjà vu: Loading an older network state/copy from the system SSD.
Karma: Accumulated mass based on past actions ($cost = mass \times signal$).
Dark Matter: Background operating system processes of the Universe.

🚀 Why am I building this?

I want to step away from traditional computing paradigms and explore what happens when mathematics and physics become the software architecture itself.

Currently, the Level 1 Core features (like accumulated time accelerating the process) have been tested and proven on 5 distinct baseline tasks. Now, I am moving into Level 2 and Level 3, which involve bio-physics simulations like cell mitosis and osmotic pressure within the network.

🤝 Let's connect!

The project is fully open-source and written in 100% pure Python.

I am looking for fellow developers, physicists, or open-minded geeks who love deep theoretical concepts, unconventional coding, and complex architectures.

Check out the code here: Just-Prostotak/tmt-net
Feel free to open an Issue or a Pull Request!

If you just want to have a deep conversation about physics, software, or the nature of reality, you can also reach me directly at tmtnet.prosto@gmail.com. I personally read and reply to every single message.