⭐Dynamosis

 

  Dynamosis  

Naming the Moment Before Power Exists

ILIJA SIKIC

Jul 26, 2026 published on Substack

Most of our vocabulary for force and power describes things that already exist. Energy, momentum, strength, capacity — all of these name something you can point to, measure, apply. What’s missing is a word for the step just before any of that: the moment when raw potential is still becoming a force, not yet one.

I want to propose a name for that moment: dynamosis.

Why the gap is real

Take the Greek root dynamis — potency, capacity, the raw “can” behind any “does.” Ancient philosophy already had a rich vocabulary for the states on either side of it: dynamis itself (mere potential, like the acorn’s capacity to become an oak) and energeia (actuality, the oak standing there, potential spent and realized). What never got its own word was the transition connecting them — the actual becoming, the hinge on which potential turns into effect.

That’s a strange omission, because the hinge is arguably the more interesting part. An acorn “having the potential” to be an oak and an oak “being” an oak are both static descriptions — snapshots. The growing itself, the part where potential is actively converting into actuality, moment by moment, is a process, not a state, and processes usually deserve their own name if they’re going to be discussed clearly. Think of how useful “metamorphosis” is precisely because it names the changing, not the caterpillar or the butterfly.

What the suffix is doing

The ending -osis is the right tool for this, and English already borrows it constantly for exactly this purpose — a process or a becoming, not a fixed thing. Metamorphosis is the process of changing form. Osmosis is the process of a substance moving through a barrier toward equilibrium. Neither word names a static ingredient; both name a transition captured mid-motion.

Dynamosis, built the same way, names the process of potential turning into power — not the potential itself, and not the resulting force once it’s already up and running, but the becoming-effective in between. It’s the word for what’s happening while a coiled spring is being released, while a plan is being put into motion, while an idea is turning into an action that actually changes something. Before dynamosis, you have possibility. After it, you have an effect in the world. Dynamosis is the name for the crossing itself.

Why it’s worth having a word for this

Once you have a name for the transition, you notice how often we skip past it in ordinary description. We talk about potential energy and kinetic energy, about someone’s “potential” and their “achievements,” about capacity and output — always the two endpoints, rarely the process that connects them. That process is where the actual interesting work happens: it’s where things can stall, where potential can leak away unconverted, where the outcome is genuinely undetermined until it resolves one way or another. A vocabulary that only names the before and the after has no way to talk precisely about the part in the middle where the outcome is actually being decided.

Naming those middle matters for the same reason naming any transition matters: it lets you ask sharper questions. Not just “how much potential is there” or “how much power resulted,” but “what does the becoming itself look like — how efficient is it, where does it lose energy, what conditions help it complete rather than stall halfway.” Those are different questions from the ones our current vocabulary makes easy to ask, and they’re worth asking on their own terms.

An open invitation

This is a new word, offered rather than imposed. If it’s useful, it will get used for the “thing” it names — the process of potential becoming actual, wherever that shows up: in physics, in personal effort, in the slow conversion of an idea into something real. If it turns out redundant with an existing term, that will become clear too. Either way, the gap it points at — a real transition, currently without its own name — seemed worth naming out loud.

^{summarized by AI-Assistant Claude @ Anthropic, Frisco}

⭐Micro-Macro Atomia

 

 Micro-Macro Atomia 

Why Quantum Mechanics Plays Favorites

There's a quiet piece of favoritism built into how quantum mechanics is usually told, and once you notice it, it's hard to unsee.

The story goes: down at the smallest scales, reality is strange and fluid. A particle can be in two places at once, spin two ways at once, exist as a cloud of possibilities until something forces it to pick one. That's the micro-world, and it gets the starring role — the wavefunction, the superposition, the genuinely weird stuff.

Then there's the macro-world — tables, cats, people, planets — and here the weirdness politely disappears. Ask why, and the standard answer is decoherence: enough particles interacting with their environment, and the strange quantum possibilities wash out into the one boring classical outcome we actually see. Problem solved, or so it's usually presented.

But look closely at what that explanation is actually doing. It isn't deriving the macro-world from the same principles as the micro-world on equal footing. It's treating the macro-world as an exception that needs explaining away — a disturbance to be dissolved, not a scale of reality with its own standing. The micro-scale is the real subject of the theory; the macro-scale is the leftover the theory has to apologize for.

The asymmetry nobody asked for

Here's the part that should bother us more than it usually does: nothing in the actual mathematics of quantum theory demands this asymmetry. The equations that govern a single particle are, in principle, exactly the same equations that would govern a whole universe of particles, cat included. There's no line drawn anywhere in the formalism that says "quantum rules apply up to here, then classical rules take over." The line gets drawn afterward, by us, for convenience — and then decoherence is called in to justify a divide that was never really derived, only assumed.

Put it more sharply: the theory was built and tested on small, isolated systems, where the strange predictions are checkable and the weirdness is manageable. The extension to everything large — to cats, to observers, to the whole macroscopic world we live in — was never treated as an equal partner in the theory. It was treated as a debt the theory has to pay off after the fact, using decoherence as an IOU*.

Why this matters beyond physics classrooms

This isn't a complaint about notation. If a theory claims to describe reality at every scale, but only actually earns its keep at one scale and has to be talked into covering the other, that's a real gap in the foundations — the kind of gap that has produced a century of unresolved debate about what "measurement," "collapse," and "observation" even mean. Much of that debate, I'd argue, is downstream of this original asymmetry: we keep trying to patch the seam between micro and macro instead of asking whether the seam should be there at all.

What would it look like to take the small and the large as equally fundamental, rather than one as ground truth and the other as an emergent courtesy? That's the question I've started calling, half in jest and half in earnest, Micro-Macro Atomia — atomia here in its old Greek sense, "un-cuttable-ness," the idea of an indivisible unity. If indivisibility is a real structural principle of nature, it shouldn't stop working exactly where the numbers get large. A principle that holds at the scale of an electron and mysteriously fades out at the scale of a cat isn't really a principle — it's a rule of thumb dressed up as one.

The uncomfortable options

Once you frame it this way, there seem to be only two honest ways forward, and neither is fully comfortable.

One: insist that the same unified structure genuinely holds across both scales, in which case the macro-world isn't a derivative approximation at all, and something in how we currently think about decoherence and "classical limits" needs to be rebuilt from the ground up, not patched.

Two: admit openly that quantum mechanics, as we have it, is really two theories glued together — one that works beautifully for the small and one, essentially classical, that we apply to the large — and that the glue (decoherence, environmental interaction, the measurement postulate) is doing more philosophical work than physical work.

Most working physicists live comfortably with option two without quite saying so, because the theory produces correct predictions either way and the math doesn't care about the seam. But a description that gets the right numbers while quietly favoring one scale over another isn't the same as a description that has actually told us what reality is doing at every scale, and equally.

That gap — not a technical bug, but an unadmitted asymmetry sitting at the foundations of our best physical theory — is what I think deserves a name of its own, rather than being folded silently into "decoherence" and left alone.

_________________________________
* "IOU" is the English abbreviation for "I owe you" — an informal term for a promissory note: a slip of paper or a note that acknowledges someone owes another person something without the debt being immediately settled.

It was meant metaphorically here: Decoherence is used "as IOU" to bridge the gap between the micro and macro levels — a promise that the explanation will be fulfilled later, rather than providing an actually proven deduction.

7/24/2026 4:42:26 AM
Summarized by AI-Assistant ClaudIA

 

 What Calculus

Can and Cannot Tell Us About Information 

The Price of Smoothing

ILIJA SIKIC

Jul 23, 2026

It started with a single line, half intuition, half provocation: calculus is the way all information lives.

Not “calculus describes information,” but something closer to — calculus is the medium information has to pass through in order to exist at all, the way water is the medium a fish has to pass through in order to swim. A bold claim. Worth testing rather than admiring.

The seed of the idea

Underneath the sentence is an old and genuinely good intuition, one that goes back to the cybernetician Gregory Bateson: information, at its root, is a difference that makes a difference. Not a thing, but a distinction. Before there is a message, there has to be a break — this, not that; on, not off; here, not there. Information starts as something jagged and discontinuous.

Calculus, meanwhile, is the great smoothing machine of mathematics. Its whole historical purpose was to take something jagged — a sequence of small steps, small changes — and let it flow into something continuous: a curve, a rate, a rule. The engine at the center of this smoothing is a humble ratio: how much did the outcome change, divided by how much you nudged the input. Shrink the nudge closer and closer to nothing, and if you’re lucky, that ratio settles down to a single clean number. That’s a derivative. That settling-down is the entire magic trick of calculus.

So the poetic claim, unpacked, says something like: information begins as raw difference, and calculus is the mechanism that lets that raw difference become something continuous and measurable. That’s not an unreasonable thing to believe. It’s just not automatically true, and testing it is where things got interesting.

Where the smoothing machine breaks

Here’s the part that surprised me. Take the ordinary measure of information mathematicians use for something that comes in discrete chunks — a coin flip, a die roll, a message made of distinct symbols. That measure behaves beautifully: it doesn’t care how you label your chunks, it just tells you how much genuine uncertainty is in the system.

Now try to slide that same idea over to something continuous — not discrete choices, but a smooth range of possibilities, like a needle that could point anywhere on a dial. The natural move is to shrink your discrete chunks down to nothing and let calculus take over, exactly the way you’d get a derivative from a ratio of small changes.

It doesn’t work cleanly. As you shrink the chunks, the measure of information doesn’t settle to a sensible number — it runs off toward infinity. To rescue it, you have to quietly bolt on a correction term tied to how finely you chose to slice things up, a term that has nothing to do with the actual information and everything to do with an arbitrary choice of ruler. And even after that repair, the resulting measure has an odd, embarrassing property: it can change — even flip sign — depending on which units or coordinates you happen to be using, something the original discrete version never did.

In plain terms: the smoothing machine, asked to measure the very thing — information — that it was supposed to explain, seizes up unless you feed it an external reference point it never admits to needing. The “price of smoothing” is a hidden ruler you have to bring along yourself; leave it out, and the whole calculation runs away from you.

Where the smoothing machine works beautifully

It would be a mistake to stop there, though, because there’s a second and very different story where calculus and information get along perfectly.

Ask instead: how much does a tiny nudge to some hidden setting change what you actually observe? If a small nudge produces a big, unmistakable shift in your observations, you can pin down that hidden setting with real precision — a small cause is easy to detect because of the size of its effect. This idea, cast in the language of calculus, gives one of the sharpest and most reliable statements in all of statistics: it puts a strict floor under how well any experiment can possibly estimate a hidden quantity, based only on how sensitively the outcomes respond to it.

A cousin of this shows up in chaos theory: two starting points that are almost identical can end up describing wildly different futures, growing apart at a runaway pace. Again calculus — expressed this time as a rate of separation rather than a rate of change — captures the phenomenon precisely, no hidden ruler required.

So the honest picture has two rooms. In one room, calculus tries to measure information directly and needs an unacknowledged prop to stand up. In the other room, calculus measures how sensitive something is to tiny differences, and there it needs nothing extra — it’s exactly the right tool, doing exactly what it promises.

A concrete footnote

While chasing this down, I came across the work of a mathematician Josip Pečarić, who has spent decades almost entirely inside the theory of inequalities — the kind of mathematics that doesn’t ask “what is the exact value” but “what is the guaranteed floor or ceiling.” Among his papers is one that measures information using a branch of mathematics deliberately built to treat the discrete and the continuous as two faces of a single operation, rather than one being the limit of the other. It was oddly satisfying to find, tucked into an obscure corner of the literature, a working mathematical answer to exactly the tension this whole inquiry kept circling.

The sobering part

The original line — calculus is the way all information lives — turns out to be too generous to itself. It’s true in one room and false, or at least incomplete, in the other. And the two rooms answer to the same intuition — small differences mattering — for opposite reasons: in one, the smallness is a problem to be rescued; in the other, it’s the whole source of the power.

That, more than any tidy resolution, is the actual finding. A beautiful line survives contact with the mathematics only by admitting it was describing two different things and calling them one.

A postscript worth a sentence of its own: somewhere in this conversation I asked whether an AI could sense how human intuition works. The honest answer is no — not in any sense that matters. It can mimic the shape of a quick, unexplained answer. What it cannot do is carry the stakes a living body carries when a hunch turns out to be wrong. The imitation of form, without the weight behind it, is its own quiet example of the price of smoothing.

_{Summarizing, Research, Brainstorming, Proofreading by AI-Assistant Claude @ Anthropic, Frisco}


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^23.07.2026 _01:50:34