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Introduction
Please be patient as we pull this site together. Check back often for the latest developments.
Welcome to Ipsum Invarians, a platform built in four sections:
The Arena (Principia Machina): Fundamentally, this site operates as an AI testbed for physics postulates. It provides an AI protocol and a public research registry. We call this framework the Principia Machina.
The Weapon (Hamilton's Principle): Our namesake reflects what is arguably the single most important formulation in physics: the Action Principle or even Hamilton's principle. In our gladiatorial arena, Hamilton's principle is the sharpest, most lethal weapon available. To give this underappreciated concept its due, Ipsum Invarians carries a dedicated field manual for Hamilton’s Principle and its attendant Noether's theorem.
The Gladiator (SVD): Continuing the metaphor, our local gladiator is Structured Vacuum Dynamics (SVD). SVD enters the arena with a specific postulate: that a single permutation of Maxwell’s 1861 paper, Hamilton’s Principle, and Noether's First Theorem is sufficient to populate all of physics.
The Blueprint (Specifications): To facilitate interoperability and reproducibility, the full specifications for the Principia Machina and its native prompt environment are published and freely available.
The Current Program (Round 3)
Round 3 Phase 1: (WIP) Development of the Principia Machina: an AI Harness inspired physics solver/research platform implemented in MediaWiki.
Round 3 Phase 2: (TBD) Testing the Principia Machina
Round 3 Phase 3: (TBD) Testing Postulates using the Principia Machina
Program History
We started with a simple permutation of Maxwell's 1861 framework that yielded a promising interpretation of General Relativity. We applied a second permutation; analyzed it with tabletop testing and back-of-the-envelope calculations, and found we could derive both the eigenstates of hydrogen and chromodynamics. These two disparate domains (GR & QM) long advertised as incompatible, seem to be perfectly harmonious derivations from Maxwell's 1861 work. The result suggests a viable postulate: if we constrain ourselves with Hamilton’s Principle and Noether’s First Theorem, can we build all of physics from a single assumption? From two assumptions?

The idea is daunting, but maybe AI can help.
- Round 1 – Technical paper: Structured Vacuum Dynamics
This was more of a proof of concept: would AI confirm the math or maybe find new paradigms to fit the otherwise disparate math together? We started with a simple technical paper around the postulate and a strict set of AI controls and restrictions. We designed a rigerous prompt that pitted the AI Agent against itself, doing more work to double and triple check its results than the original work to get the results, but this effort quickly overwhelmed the local AI context.
- Round 2 – The Research Register (RR-n)
The Lesson from round 1 - physics is a much bigger domain than a single paper. We did start to understand the context limits of the most reasonably available AI offerings and the constraints it left us with. We broke the design into two parts: a back-end research register and a front-end that could generate papers from the research register. Soon we ran into problems mapping the axioms to the environment.
- Round 3 opening – The Principia Machina (TPM)
The Lesson from round 2 - Local AI context was never going to be enough for any serious work. We realized we could kill three birds with one stone if we moved the research context to a Wiki:
- The context would be effectively unlimited
- A public, formalized, framework would foster independent verification
- it would give a great public record to invite collaboration and outside ideas
Thus the Principia Machina: an AI Harness inspired physics solver/research platform and test bed implemented in MediaWiki.
The Principia Machina Specification (TPS)
The Principia Machina Specification (TPS) is the complete, published description of The Principia Machina (TPM), a set of rules for doing research with AI assistants so that the result can be checked afterwards by anyone. TPS is written for two readers at once: a person who wants to understand how the framework works, and an AI agent of any make that wants to work under it. It is one of five parts, and it is the part that binds the other four.
- The foundations record. A dated account of every design decision, the options rejected, and the reasons. It is the source TPS was written from. It describes; it never instructs.
- The specification. This document. It defines the five layers of the framework, the sealed container a piece of research lives in, the wiki machinery that records the work, and the Agent Contract: the rules any AI agent follows to work a container. It is versioned, and its fingerprint is the first line of the wiki's chain of declarations.
- The implementations. What runs the rules. On the server, TPX, a MediaWiki extension that performs every check a machine can perform. Beside the agent, PRB, the client an agent uses to hold its working copy and land results. And each agent's own instruction set, implementing the Agent Contract. The project's own instruction set, PMP-TPM, is written for Claude and is one implementation among any number.
- The wiki. Where all of the above is published and read, and the system of record for everything TPM does.
- The containers. The research itself: a sealed set of laws and assumptions, and the register of findings built on it.
Hamilton's Principle
Newton's laws, Maxwell's equations, general relativity and the Standard Model are each formulated as an action via Hamilton's Principle. In every case the equations of motion are consequences rather than starting points. Conservation of energy, momentum and charge are not separate laws at all — Noether proved they follow from the action's symmetries. New models are now built by writing the action contrained by symmetry and letting the dynamics follow. This is how electromagnetism and gravity were derived and how the nuclear forces were found. Hamilton's Principle alone survives the passage to quantum mechanics intact: the action becomes the phase carried by every possible history, and the classical path is simply where those phases fail to cancel. The action is the deepest thing physics knows.

- Stationary is not least — the long way round a great circle obeys the same rule at every point, and is plainly not the shortest. See the diagram.
- Why the rule holds at all — nature selects nothing. It sums over everything, and what looks like a choice is the residue left by interference.
- Start without the mathematics — every page carrying equations has a plain-language counterpart, linked from it and linking back.
Noether's theorems

Klein read the paper to the Göttingen Scientific Society on 26 July 1918. Its last section answers a claim of Hilbert's: that energy conservation in general relativity fails to take the form it takes everywhere else in physics. There are two theorems in the paper, and they are not versions of one another.
The first takes a symmetry with a fixed number of parameters and returns that many conservation laws, which hold for real motions. The second takes a symmetry that is allowed to differ from place to place and returns identities between the field equations — identities that hold whether or not those equations are satisfied. The second theorem is why a gauge theory has fewer independent field equations than it has fields, and why gravity has no local energy.
A 90-page reading edition: both theorems proved in full and kept apart, the mathematics they need, the physics they explain, and a plain-language counterpart for every page that carries equations.
- Göttingen and the energy problem — the question the paper was written to settle
- The primer — plain language, no mathematics
- The two theorems side by side — the distinction most accounts lose
The Work of James Clerk Maxwell
On Physical Lines of Force
In four instalments between March 1861 and February 1862, James Clerk Maxwell
filled space with spinning cells and little rolling particles, to explain the mechanics behind magnetic fields. His machine was wrong. On the way to building it,
he wrote down the displacement current, derived the speed of light from two
electrical measurements that had nothing to do with optics, and founded field
theory.
A 65-page reading edition: Maxwell's argument in his own order and register, the modern equations derived from his results, and a plain-language explainer for every major idea.
- Introduction — the story, and why the paper matters
- The primer — plain language, no mathematics
- The missing term — the one addition that made radio possible
Featured plate
| The shift from Newtonian vectors to scalar fields and variational principles defined modern theoretical physics. | |
| Core Frameworks | |
|---|---|
| Classical Mechanics | Lagrangian mechanics |
| Dynamical Optimization | Principle of least action |
| Electromagnetism | Maxwell's equations |
| Vacuum Dynamics | Spacetime topology |
| Key Equations | |
|
| |
The narrative of 18th- to 20th-century physics lies in a profound mathematical restructuring. This era marked the transition from treating nature as a collection of forces acting on point masses to understanding it through continuous fields, spacetime manifolds, and unified variational principles.
The foundation was laid when physical systems began to be analyzed not through Newtonian vectors, but through scalar quantities—kinetic and potential energy—operating within generalized coordinates. By positing that the true dynamical trajectory of any system is the one that leaves the action integral stationary, theorists established a universal mathematical language.
This analytical approach seamlessly extended beyond mechanical gears and pulleys into the continuum. It provided the structural mathematics required to unify electricity and magnetism into a single vacuum field theory, and later, to model gravity not as a pulling force, but as the dynamic geometric curvature of spacetime itself. Whether applied to subatomic particle behavior or cosmic expansion, these foundational principles continue to govern the leading edge of modern physics.
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