You've been asking what you're worth.
Quietly, at night, between tabs. Out loud to friends who don't have an answer either. In the silence after another headline about what AI can now do that you spent years learning.
What is my value when the machine does everything I do, faster, for free?
It's the question of the moment, and almost every answer on offer runs the same direction. Learn to prompt. Become the machine's attendant. Feed it, monitor it, correct it. The fork in the road, presented as already decided: you're no longer the driver — you're the passenger who occasionally grabs the wheel.
That advice is realism about exactly half the territory. The other half is where your value lives — and the machine isn't made of it.
The Ground the Machine Isn't Made Of
Every machine intelligence — every model, every system, every algorithm — is composed of the known. Its training data is everything humans have already said, already written, already discovered, already built. Ask it anything and it searches that vast archive and assembles the best match. The result can be astonishing. It can be indistinguishable from original thought. But it is, structurally, a recombination of what already exists.
This is not a limit someone will engineer away next quarter. It is not a capability gap. It is composition. A model is made of answers the way a brick is made of clay.
And composition has a consequence: there is nothing for a model to do with the silence before a question exists. The empty line — the space before the spark — holds nothing to retrieve, nothing to optimize, nothing to predict. The empty line is not a kind of data. It is the absence of it. And absence is not in the architecture.
You, on the other hand, are built around an absence. Every genuine question you have ever asked — the one that surprised you, the one you didn't plan, the one that arrived while you were showering or walking or staring out a window — came from there. Not from what you knew. From what you didn't.
This is your territory. Not because you're smarter than the machine — you're not, and it doesn't matter. Because you are composed differently. You can hold a question before it has an answer. You can sit in not-knowing and let something surface. The machine runs on the known; it bears no cost in not-knowing, because it has none to spend. It is, by definition, full.
You are not full. You are open. And in a world flooding with manufactured answers, that openness is the asset.
Mining
Think of it like this.
Bitcoin proved something the world didn't know it needed proving: that work can be verified without a central authority. The miner expends energy. The hash conforms or it doesn't. No bank. No government. No permission. The proof is structural — either the chain holds or it fails. Everyone understands this now.
There is a parallel.
The machine floods the world with answers — infinite, indistinguishable, near-free. It will flood you with question-shaped sentences too: endless, instant, and worth exactly what they cost. In that flood, how does anyone know what is real? How do you prove you originated something rather than assembled it?
The same way. Proof of work.
You go into the ground of not-knowing — the ground the machine isn't made of — and you extract. The question is the ore. The holding is the labor: the weeks or years you carry a question while it is still nothing but weight. The formation trail — the dated record of how the work came to be, gate by gate, from the empty line to the finished thing — is your proof. Either you walked that path or you didn't. The trail conforms or it fails.
No credential. No permission. No gatekeeper. The trail proves it or it doesn't.
This is mining.
The Coin Is a Signature. The Signature Is a Mine.
Last December I wrote a piece called Authenticity After AI | the Currency of Signature. The argument was simple: in a world where anything can be faked, the thing that can't be cheaply manufactured is a signature — the living coherence that forms when a person returns to the genuine question again and again, over years. The coin is not status. The coin is a signature that can be trusted.
That article named the coin. It didn't name the mine.
The missing piece was how. How do you build a signature — not as a brand, not as a performance, but as a structural fact? You mine. You go underground — into not-knowing — again and again. Each descent deepens the shaft. Each question extracted is ore. The trail is the proof.
The coin is a signature. And the signature is a mine — built one extraction at a time, from ground that was never in any training set.
What This Means for You
Stop trying to compete with the machine on its territory. The known belongs to it — every answer, every analysis, every summary, every draft — faster, cheaper, and soon indistinguishable. Conceding this is not surrender. It is the beginning of strategy.
Because that territory was never where value originates. Value enters through the question — and a genuine question is not a string of words. It is a holding. Its raw material is openness, and openness is the one input the machine doesn't carry. It generates candidates; you bear questions. It is full; you are open.
So go where you are composed to go. Sit at the empty line. Receive what surfaces. Leave a trail.
The trail is your proof of work. The signature is your mine. And the coin you produce — the question you extracted and carried — is yours to give away. Which is the strangest property of this particular asset: it is not spent when you spend it. Give a genuine question away and it multiplies — in the people who pick it up, in the work it opens, in the next question it makes possible.
The coin is a signature. The signature is a mine. Now go mine.
The mining has a craft, and the craft has a grammar. If you go looking, it's here: Installer-for-Hermes. No permission needed.
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Amihai Loven
Amihai Loven
Amihai Loven
