Only the present is actual, and it is continuously changing.

In the block-universe interpretation of relativity, the past, present and future are equally real. That is an interpretation, not an observation. All measurements occur in the present. Every record of the past, from a fossil to a photograph, is read in the present. The future is predicted, never observed.

This is the empirical boundary of physics, and Dynamic Present Theory (DPΦ) takes it as fundamental. From that single starting point, DPΦ brings quantum measurement, entanglement, and the arrow of time into one logical framework.

DPΦ has also produced a testable result: a new law for how liquids slow as they cool into glass, which outperforms the field's three standard equations in both liquids tested.

The full framework, mathematics, and evidence. Free on Zenodo.

How the present carries its past

If only the present is actual, how does the past matter? Through its consequences. A bank cut by last spring's flood still shapes where the river flows today. The flood is over; its consequence is operative now. DPΦ calls this carried forward: what has become actual changes the conditions for what can happen next.

DPΦ names this process Continuous Present Actualization (CPA): what may happen becomes what does. It runs from the structure of an atom to the record of a measurement. Relativity's equations remain an accurate map of how clocks, light, and motion relate; the actualizing present is the territory they describe.

What it explains

Quantum measurement

Quantum mechanics predicts outcomes superbly but doesn't say how one possibility becomes one recorded fact. In DPΦ, the wavefunction describes lawful possibilities, and a measurement is an ordinary physical event in which one of them becomes actual. No separate collapse is needed, and every prediction of quantum mechanics stays exactly as it is.

Clocks and gravity

In DPΦ, one present does not mean one rate for every clock. Clocks run slower near a mass and at high speed, and GPS satellites correct for both every day. DPΦ reads these differences as local rates of actualization within the same ongoing present. Under a stated Newtonian calibration, that rate picture recovers the classical weak-field tests of general relativity: gravitational redshift, light bending, Shapiro delay, and the precession of Mercury’s orbit.

The direction of time

The laws of molecular motion run equally well forward and backward, so why does time have a direction? DPΦ locates the arrow in actualization itself: what has become actual can't become un-actual. Statistical mechanics then explains why entropy grows along that direction.

A new law, tested against the best existing ones

DPΦ's account of how present organization shapes further change led to a prediction about glass-forming liquids: as they cool, their own structure increasingly restricts the molecular rearrangements through which they can flow. That idea became a rate law, CPA+C (Continuous Present Actualization plus Constraint), tested tested against Vogel–Fulcher–Tammann, MYEGA, and Avramov–Milchev.

Salol viscosity, 35 points across 14 orders of magnitude. Error on the log scale.
ModelFit error (RMSE)Held-out errorAIC margin
CPA+C0.16510.2065favored by 47.7
Avramov–Milchev, nearest comparator0.34570.3982reference

A second, very different glass. On 60 measurements of boron trioxide, a covalent network glass, CPA+C is again selected, favored over the nearest competitor by 57.4 AIC units.

A test called in advance. Before the result was known, the previous version of the DPΦ paper named a second observable as the test: how fast salol's molecules reorient. With the temperature structure learned from viscosity held fixed, CPA+C describes the reorientation data better than a matched control by 16.3 AIC units, in all 1,000 propagated geometries.

The analysis was reproduced in a separate execution by glass paper coauthor Dr. Christian E. Precker. Data, code, and validation records are openly archived.

Open research directions

These are the studies DPΦ proposes next, each with a defined test. The data, Python code, validation records, and full instructions for the glass analyses are openly archived, so anyone can reproduce the results or build on them.

Researchers interested in any of these are welcome to get in touch. Tell us which direction interests you and what data or methods you could bring. We’re glad to share context, answer questions about the code, and collaborate where that helps. Modest support may be available for well-scoped studies.

  • One present and relativity. Relate a single shared present to relativity's frame-dependent simultaneity.
  • Strong gravity. Extend the rate picture beyond the weak field and compare it with compact-object observations.
  • The Born rule. Derive quantum probabilities from CPA rather than retaining them.
  • Glass, microscopically. Test whether CPA+C's reference temperature matches an independently measured change in molecular organization.

Questions and answers

What is Dynamic Present Theory?

Every measurement, observation and record is met in the present. Yet a common reading of modern physics, the block universe, treats past, present and future as equally real, laid out together like the frames of a finished film. In that picture, the passing of time is often described as an illusion.

Dynamic Present Theory, abbreviated DPΦ, is a foundational physics framework developed by independent researcher D. S. Gavant. It starts from that everyday boundary and makes one posit: only the present is actual, and it continuously transforms. DPΦ calls this process Continuous Present Actualization, or CPA: what may happen becomes what does. There is one present everywhere, changing at local rates that differ from place to place. Time passes because actualization is continuous. It runs one way because what has happened cannot be undone: you can’t unfry an egg, or put Humpty Dumpty back together again.

From that single process, DPΦ gives one account across physics: quantum measurement with one process and one result, gravity as a gradient in local rates, and a new rate law, CPA+C, that outperformed established equations for the slowing of glass-forming liquids. Through all of these runs one dependency: whatever happens changes the conditions for what can happen.

DPΦ is not to be confused with presentism or the Dynamic Theory of Time, philosophical positions that also treat the present or the passing of time as real. DPΦ is a physics framework. It supplies the process through which the present transforms, CPA, and develops it into mathematics and tested predictions.

If only the present is actual, how can the past affect us?

The past is gone, yet it clearly shapes who we are in the present. Consider a river. The bank altered by last spring’s flood still shapes where the water flows today. The flood is over; the reshaped bank is part of the present, and its consequence is at work now.

Only the present is actual, and it is continuously changing. DPΦ calls what earlier happenings leave in the present carried-forward consequences. They may persist, like the rocks along the riverbank; change; or fade, as a bank washes away. When a consequence can be read through a further interaction, as evidence or as a condition shaping what happens, DPΦ calls it an inscription. Sediment layers in a riverbank are inscriptions: a probe driven into the bank registers the layers left by prior floods, whether or not anyone was there to witness them.

Reading a record is a new interaction with something actual now. A photograph is light captured on film or a sensor, carried into the present; you can look at it, but you can’t step into it and relive the day. Your breakfast isn’t still sitting somewhere in the past, uneaten: its energy has been transformed, providing the fuel to wash the dishes now in the sink.

When I look through a telescope, am I seeing the past?

Astronomers often say that looking out into space is like peering back in time. Light travels at a finite speed, so light from a star 100 light-years away left it a century ago. The farther the source, the older the light, and the earlier the stage of the universe it reveals.

DPΦ accepts every part of that measurement and places it in the present. The light entering the telescope is read in the present. It left the star long ago, and its spectrum, brightness and other properties carry consequences of the star as it was then. They also carry what the light met on its way: dust, gas, and the gravity of galaxies that bent its path.

That is why astronomers can study a distant star as it was when the light left it. Since then, the star itself may have changed dramatically: flaring, fading, or exploding. The light works like a letter mailed long ago. The letter is in your hand now, and it tells you about the day it was written. The telescope gathers present light, an inscription of the star as it was, readable now.

What does DPΦ mean by matter as organized relations?

We usually picture matter as tiny solid bits, with atoms acting like little marbles. Modern physics tells a richer story. A proton’s mass comes mostly from the energy of the quarks’ motion and of the gluon field that binds them; the quarks’ own mass contributes only a small fraction. Mass turns out to be largely a matter of how energy is organized.

DPΦ builds on this finding. An atom or a molecule is an organized pattern of ongoing physical activity. It is defined by its components, how they interact, and the changes its structure allows. Mass is energy held in persistent organization.

A whirlpool illustrates the idea. It is an organized movement of water, structured enough to spin a floating leaf. Yet the whirlpool is the movement itself; no extra substance is added to the water. Water flows through it continuously while its form holds steady. DPΦ extends this insight to the water itself, down to its molecules and atoms.

Organization also shapes what a material can do. Consider carbon: arranged in one bonding network, it forms graphite, the soft gray core of a pencil; organized in another, it becomes diamond, the hardest natural mineral. The atoms are identical; their arrangement makes all the difference.

In DPΦ, persistence is the continuing coherence of these defining relations amid a continuously actualizing present. A physical structure stays recognizably itself as long as its core organization holds together. When that organization can no longer cohere, the system transforms: a molecule dissociates into its constituent atoms, or a solid fractures into fragments. As prior relations dissolve, new configurations can form.

How does DPΦ relate to Einstein’s relativity?

Relativity is one of the most precisely tested theories in physics. Its mathematics describes how the measurements of clocks, light signals, and observers in motion relate to one another. DPΦ works with those same measured relationships.

In 1908, Hermann Minkowski showed that these equations become remarkably elegant when time is treated as a fourth dimension, joined with the three dimensions of space in a single geometry: spacetime. Past, present, and future could now be drawn together on one map. Before long, that map was read as saying they are all equally real.

This reading, the block universe, has been widely held for more than a century. It rests on an interpretation, not an observation. A beautiful mathematical map of physical relationships came to be taken for the territory it describes. In DPΦ, the territory is the one continuous, ever-changing NOW.

Within that present, physical processes unfold at different local rates. A clock deep in a gravitational field actualizes at its own local rate, within the same ongoing present. Think of clockwork: one mechanism, each gear turning at its own rate.

Under a stated Newtonian calibration, DPΦ's local rate of actualization, the CPA Rate, recovers the classical tests of gravity in static, weak fields: gravitational redshift, light bending, Shapiro delay, and the precession of Mercury's orbit. Extending it to strong gravity and full relativistic motion is the frontier of the research, and that work is under way. Researchers who would like to join it are welcome to get in touch.

How does DPΦ explain the double-slit experiment?

In the double-slit experiment, photons are sent one at a time toward a barrier with two narrow slits, and a screen behind it records where each one lands. Every arrival is a single dot, as a particle would make. Yet as the dots accumulate, they form alternating bright and dark bands, the pattern made by overlapping waves. Opening the second slit even reduces hits at spots that received them when only one slit was open. Physics calls this wave-particle duality: each photon arrives like a particle, while together they build a pattern like a wave. Electrons, atoms and even large molecules do the same.

DPΦ starts with the experimental setup as a whole. The source, the photons’ wavelength, the slits, the space between them and the screen, together with physical law, set the odds for each spot on the screen, without fixing where any single photon lands. Opening the second slit changes the whole setup and, with it, the odds: the possibilities through the two slits reinforce in some places and cancel in others. The quantum wavefunction describes these possibilities and how they combine. In DPΦ, the wave belongs to the possibilities, and the dot is what becomes actual. Each detection leaves one definite record, and the banded pattern builds up dot by dot.

The experiment has a famous twist. Physicists can add a device that tags which slit each photon passes through. With the tags in place, the bands fade, and with perfect tagging they vanish. This is often told as “observing the photon changes it,” as though a watching person mattered. Yet the bands fade even when nobody ever reads the tags. In DPΦ, tagging is one more change to the physical setup, and the odds change with it.

Does a wavefunction physically collapse?

In quantum mechanics, a wavefunction is the mathematical description used to calculate the possible outcomes of any measurement and how likely each one is. Before a measurement, it describes several outcomes at once. Afterward, a detector shows just one. In the double-slit experiment, for example, the wavefunction spreads across the whole screen, yet each photon lands in a single spot. The textbook rule handles this by abruptly replacing the many with the one, a collapse. Physicists have long asked whether collapse is a real physical process, and if so, what causes it. This is known as the measurement problem.

DPΦ answers by being clear about what the wavefunction describes: possibilities. Like a weather forecast, it describes what may happen; unlike a forecast, its possibilities can reinforce and cancel one another, as the double-slit bands show. The particle, the apparatus and their surroundings are actual throughout. Their interaction makes one possibility actual, and the detector records it.

Nothing physical collapses: the other outcomes were possibilities, never actual. DPΦ uses the same mathematics and probability rules as standard quantum mechanics, so its predictions agree with every quantum experiment to date. What changes is the explanation: one ongoing process, one description of possibilities, one result.

How can entangled particles be connected across a distance?

An entangled pair has a joint organization that cannot be reduced to two independent states. DPΦ treats this shared relational organization as physically significant even when its components separate. Measurements produce local records whose correlations follow the joint quantum description. Neither observer can choose an outcome to send a faster-than-light message. The theory’s contribution is its account of what the shared description represents; it retains the established quantum correlation rules.

What does the CPA+C glass law describe?

As a glass-forming liquid cools, molecular rearrangement becomes dramatically slower. The CPA-based hypothesis is that narrowing access to possible rearrangements contributes to this slowing. CPA+C expresses that hypothesis as a five-parameter rate law. Its bounded modulation increases on cooling toward a fitted reference temperature, then saturates; the modeled slowing continues below that point. Comparisons with established equations account for the cost of fitting extra parameters.

What evidence supports DPΦ?

The strongest quantitative evidence comes from the glass program, where CPA motivated a reconfiguration hypothesis that led to a rate law and empirical tests. CPA+C outperformed three established equations in the studied salol and boron-trioxide viscosity datasets. In salol, its held-out prediction error was about 48% lower than the nearest comparator on the logarithmic viscosity scale. A cross-observable test identified in advance then found that its viscosity-derived temperature structure also improved the description of molecular reorientation, better than a matched control sharing the same denominator, by 16.3 AIC units, with only the dielectric coefficients fitted. These results support the reconfiguration hypothesis in the tested systems.

What results would challenge the theory?

Each test must identify the claim at stake and the result that would count against it. For the glass program, examples include a prespecified transfer to another observable that loses predictive performance, failure of the proposed entropy correspondence against independent measurements, or structural data inconsistent with the proposed interpretation of the fitted temperature coordinates. Such results would challenge those specific extensions or mechanisms. A decisive test of the broader foundation requires a quantitative consequence that competing accounts do not share.

Could DPΦ become a theory of everything?

DPΦ has a unifying ambition: to describe physical reality through one account of ongoing actualization under constraint. Its present form develops selected mathematical interfaces and an empirically supported rate law. Becoming a complete physical theory would require quantitative accounts of particle properties and interactions, a consistent treatment of quantum and gravitational phenomena together, and successful tests across those domains. A common starting principle provides a direction for that work; the equations and empirical checks must establish how far it reaches.

Who developed DPΦ, and what role did AI play?

DPΦ is developed by independent researcher D. S. Gavant, whose inquiry into the nature of reality spans decades. The framework took its current form as Continuous Present Actualization beginning in 2024. The research uses AI systems as working tools and collaborators: for articulating arguments, developing and checking mathematics, writing and testing code, and reviewing manuscripts. Gavant directs the research and takes responsibility for every claim.

Where can I read the papers and examine the data?

The foundational paper, glass study, and reproducibility archives are linked here. The glass records provide data, analysis code, outputs, and validation material.

Go deeper

Does a simpler theory deserve more confidence?

A framework that connects several phenomena through fewer independent assumptions has an explanatory advantage. DPΦ seeks that economy by treating persistence, measurement, and change through the same account of actualization. Parsimony is a reason to investigate the framework and compare its commitments carefully. Empirical confidence grows when its quantitative consequences survive tests, especially when those tests distinguish it from alternatives.

Is DPΦ the same as presentism or an evolving block universe?

Presentism holds that only the present exists. DPΦ develops a physical research program around continuing actualization and the consequences that existing organization carries forward. An evolving block universe gives becoming a role while retaining the completed past as part of growing spacetime. DPΦ locates the past’s physical influence in its consequences in the actual present.

Is “CPA Rate” always a clock rate?

The paper distinguishes a clock-related rate in its gravity interface from the rate of a specified process, such as molecular rearrangement. Each requires its own physical definition and measurable quantity. The broader account of constraint also concerns which outcomes are possible and how their probabilities are organized. That information cannot generally be reduced to one rate or one universal measure of constraint.

What does the Theta model contribute?

Theta is a finite relational model in which existing organization changes what further relations can form. Its rules produce growth, narrowing possibilities, and depletion without prescribing each phase separately. It gives a calculable illustration of carried consequence and allows proposed rules to be tested against their own results. Its role is formal: evidence about a physical system requires an additional, explicit connection to measurements of that system.

Does DPΦ say that artificial intelligence is conscious?

DPΦ I examines how carried context can shape an AI system’s current computation. This offers a setting in which aspects of informational organization can be inspected and tested. Consciousness and personal identity require further definitions and evidence. Broader reflections on AI, meaning, and “math writ live” belong to the separate exploratory Still Logic work.

About

The DPΦ Research Initiative is an independent research program founded by D. S. Gavant. It develops the idea that only the present is actual and that physical reality continues through the transformation of organized relations. The program connects foundational interpretation with mathematical models, reproducible computation, and empirical tests. Gavant’s sustained collaboration with AI systems supports that work; its claims remain open to independent examination, criticism, and replication.